Program description

Content

The Bachelor-program General Engineering Science (GES) starts with a broad, for all students binding fundamental engineering curricula. With begin of the 3rd Semester students have to choose one of the 9 fields of study (civil engineering, biotechnology, electrical engineering, energy- and environmental engineering, computer science, mechanical engineering, medical engineering, naval engineering, process engineering), some of them with further specialisations. GES has with 240 credit points a higher workload compared to other Bachelor study courses. Therefore General Engineering Science is designed for 7 semesters.

In addition to the foundational curriculum taught at TUHH, seminars on developing personal skills are integrated into the dual study programme, in the context of transfer between theory and practice. These seminars correspond to the modern professional requirements expected of an engineer, as well as promoting the link between the two places of learning.

The intensive dual courses at TUHH integrating practical experience consist of an academic-oriented and a practice-oriented element, which are completed at two places of learning. The academic-oriented element comprises study at TUHH. The practice-oriented element is coordinated with the study programme in terms of content and time, and consists of practical modules and phases spent in an affiliate company during periods when there are no lectures.


Career prospects

The graduates of the Bachelor program General Engineering Science are directly able to enter a career in the field of mechanical engineering, civil engineering, electrical engineering, process engineering or computer science engineering and work responsibly as engineer. They are entitled to use the professional title Ingenieurin or Ingenieur  (Engineer) pursuant to the Engineers Acts (Ingenieurgesetzen) of the states in Germany. 

Possible employers include companies in mechanical, civil, process, electrical and computer science engineering as well as engineering firms.

The Bachelor degree in one of the fields of study enables a consecutive study of one of the corresponding Master studies, of another technical or of an economic oriented Master study. 

In addition, students acquire basic professional and personal skills as part of the dual study programme that enable them to enter professional practice at an early stage and to go on to further study. Students also gain practical work experience through the integrated practical modules. Graduates of the dual course have broad foundational knowledge, fundamental skills for academic work and relevant personal competences.


Learning target

Knowledge

Students can:

•     Name and describe the mathematical and scientific principles and methods of the engineering sciences;

•     Ellucidate the principles and methods of the engineering sciences and present an overview of their subject;

•     Explain in detail the foundations, methods and areas of application of their specialization, and, as necessary, their particular focus;

•     Recite the foundations and methods of the engineering sciences and provide an overview of the relevant social, ethical, ecological and economic marginal conditions of their subject.

Skills

Graduates are able to

•     Identify and abstract subject-related problems fundamentally and solve them holistically

•     Identify, combine and apply in an interdisciplinary manner the methods appropriate for the desired analysis, modeling, simulation and optimization

•     Penetrate, analyze and evaluate products and methods from different branches of engineering on a systems technology basis

•     Applofdesign methods from different branches of engineering

•     Plan and carry out experiments and interpret the results

•     Assess the limits of techniques and methods

•     Use their knowledge in an interdisciplinary manner and responsible way, taking economic requirements into consideration 

•     Evaluate problems in a wider societal context and assess the non-technical repercussions of engineering.

Social Competence

Graduates are able to

•     Present the methods and results of their work comprehensively both orally and in writing 

•     Communicate with experts and laypersons about the contents and problems of engineering 

•   Respond appropriately to inquiries, additions and comments

•     Work in groups, define, allocate and integrate subtasks, reach agreement on schedules and to interact socially.

Autonomy

Graduates are able to

•     Familiarize themselves with the relevant literature and effectively use databases and other digital sources of information as well as present the results of their work comprehensively both orally and in writing

•     Assess their existing competences realistically and develop and carry out strategies for compensating any deficits they identify

•     Learn a range of subjects and work independently

•     Expand and deepen their understanding through  a process of lifelong learning

By continually switching places of learnings throughout the dual study programme, it is possible for theory and practice to be interlinked. Students reflect theoretically on their individual professional practical experience, and apply the results of their reflection to new forms of practice. They also test theoretical elements of the course in a practical setting, and use their findings as a stimulus for theoretical debate.


Program structure

The program is split into the core qualifications, the specialisation qualification and the Bachelor thesis.

The advanced practical module and the interdisciplinary final thesis is scheduled for the seventh semester.

The structural model of the dual study programme follows a module-differentiating approach. Given the practice-oriented element, the curriculum of the dual study programme is different compared to a standard Bachelor’s course. Five practical modules are completed at the dual students’ partner company as part of corresponding practical terms during lecture-free periods.

Core Qualification

Module M0743: Electrical Engineering I: Direct Current Networks and Electromagnetic Fields

Courses
Title Typ Hrs/wk CP
Electrical Engineering I: Direct Current Networks and Electromagnetic Fields (L0675) Lecture 3 5
Electrical Engineering I: Direct Current Networks and Electromagnetic Fields (L0676) Recitation Section (small) 2 1
Module Responsible Prof. Matthias Kuhl
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
Skills
Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 100 Minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Integrated Building Technology: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Orientation Studies: Core Qualification: Elective Compulsory
Course L0675: Electrical Engineering I: Direct Current Networks and Electromagnetic Fields
Typ Lecture
Hrs/wk 3
CP 5
Workload in Hours Independent Study Time 108, Study Time in Lecture 42
Lecturer Prof. Matthias Kuhl
Language DE
Cycle WiSe
Content
Literature
  1. M. Kasper, Skript zur Vorlesung Elektrotechnik 1, 2013
  2. M. Albach: Grundlagen der Elektrotechnik 1, Pearson Education, 2004
  3. F. Moeller, H. Frohne, K.H. Löcherer, H. Müller: Grundlagen der Elektrotechnik, Teubner, 2005
  4. A. R. Hambley: Electrical Engineering, Principles and Applications, Pearson Education, 2008
Course L0676: Electrical Engineering I: Direct Current Networks and Electromagnetic Fields
Typ Recitation Section (small)
Hrs/wk 2
CP 1
Workload in Hours Independent Study Time 2, Study Time in Lecture 28
Lecturer Prof. Matthias Kuhl
Language DE
Cycle WiSe
Content
Literature
  1. Übungsaufgaben zur Elektrotechnik 1, TUHH, 2013
  2. Ch. Kautz: Tutorien zur Elektrotechnik, Pearson Studium, 2010

Module M0850: Mathematics I

Courses
Title Typ Hrs/wk CP
Mathematics I (L2970) Lecture 4 4
Mathematics I (L2971) Recitation Section (large) 2 2
Mathematics I (L2972) Recitation Section (small) 2 2
Module Responsible Prof. Anusch Taraz
Admission Requirements None
Recommended Previous Knowledge

School mathematics

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students can name the basic concepts in analysis and linear algebra. They are able to explain them using appropriate examples.
  • Students can discuss logical connections between these concepts.  They are capable of illustrating these connections with the help of examples.
  • They know proof strategies and can reproduce them.


Skills
  • Students can model problems in analysis and linear algebra with the help of the concepts studied in this course. Moreover, they are capable of solving them by applying established methods.
  • Students are able to discover and verify further logical connections between the concepts studied in the course.
  • For a given problem, the students can develop and execute a suitable approach, and are able to critically evaluate the results.


Personal Competence
Social Competence
  • Students are able to work together in teams. They are capable to use mathematics as a common language.
  • In doing so, they can communicate new concepts according to the needs of their cooperating partners. Moreover, they can design examples to check and deepen the understanding of their peers.


Autonomy
  • Students are capable of checking their understanding of complex concepts on their own. They can specify open questions precisely and know where to get help in solving them.
  • Students have developed sufficient persistence to be able to work for longer periods in a goal-oriented manner on hard problems.


Workload in Hours Independent Study Time 128, Study Time in Lecture 112
Credit points 8
Course achievement
Compulsory Bonus Form Description
Yes 10 % Excercises
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Core Qualification: Compulsory
Civil- and Environmental Engineering: Core Qualification: Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Digital Mechanical Engineering: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Integrated Building Technology: Core Qualification: Compulsory
Logistics and Mobility: Core Qualification: Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Orientation Studies: Core Qualification: Elective Compulsory
Naval Architecture: Core Qualification: Compulsory
Process Engineering: Core Qualification: Compulsory
Engineering and Management - Major in Logistics and Mobility: Core Qualification: Compulsory
Course L2970: Mathematics I
Typ Lecture
Hrs/wk 4
CP 4
Workload in Hours Independent Study Time 64, Study Time in Lecture 56
Lecturer Prof. Anusch Taraz
Language DE
Cycle WiSe
Content

Mathematical Foundations:

sets, statements, induction, mappings, trigonometry

Analysis: Foundations of differential calculus in one variable

  • natural and real numbers
  • convergence of sequences and series
  • continuous and differentiable functions
  • mean value theorems
  • Taylor series
  • calculus
  • error analysis
  • fixpoint iteration

Linear Algebra: Foundations of linear algebra in Rn

  • vectors: rules, linear combinations, inner and cross product, lines and planes
  • systems of linear equations: Gauß elimination, linear mappings, matrix multiplication, inverse matrices, determinants 
  • orthogonal projection in R^n, Gram-Schmidt-Orthonormalization


Literature
  • T. Arens u.a. : Mathematik, Springer Spektrum, Heidelberg 2015
  • W. Mackens, H. Voß: Mathematik I für Studierende der Ingenieurwissenschaften, HECO-Verlag, Alsdorf 1994
  • W. Mackens, H. Voß: Aufgaben und Lösungen zur Mathematik I für Studierende der Ingenieurwissenschaften, HECO-Verlag, Alsdorf 1994
  • G. Strang: Lineare Algebra, Springer-Verlag, 2003
  • G. und S. Teschl: Mathematik für Informatiker, Band 1, Springer-Verlag, 2013
Course L2971: Mathematics I
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Anusch Taraz
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L2972: Mathematics I
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Anusch Taraz
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0687: Chemistry

Courses
Title Typ Hrs/wk CP
Chemistry I+II (L0460) Lecture 4 4
Chemistry I+II (L0475) Recitation Section (large) 2 2
Module Responsible Dr. Dorothea Rechtenbach
Admission Requirements None
Recommended Previous Knowledge none
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students are able to name and to describe basic principles and applications of general chemistry (structure of matter, periodic table, chemical bonds), physical chemistry (aggregate states, separating processes, thermodynamics, kinetics), inorganic chemistry (acid/base, pH-value, salts, solubility, redox, metals) and organic chemistry (aliphatic hydrocarbons, functional groups, carbonyl compounds, aromates, reaction mechanisms, natural products, synthetic polymers). Furthermore students are able to explain basic chemical terms.


Skills

After successful completion of this module students are able to describe substance groups and chemical compounds. On this basis, they are capable of explaining, choosing and applying specific methods and various reaction mechanisms.


Personal Competence
Social Competence

Students are able to take part in discussions on chemical issues and problems as a member of an interdisciplinary team. They can contribute to those discussion by their own statements.


Autonomy

After successful completion of this module students are able to solve chemical problems independently by defending proposed approaches with arguments. They can also document their approaches.


Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Core Qualification: Compulsory
Civil- and Environmental Engineering: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0460: Chemistry I+II
Typ Lecture
Hrs/wk 4
CP 4
Workload in Hours Independent Study Time 64, Study Time in Lecture 56
Lecturer Dr. Christoph Wutz
Language DE
Cycle WiSe
Content

Chemistry I:

- Structure of matter

- Periodic table

- Electronegativity

- Chemical bonds

- Solid compounds and solutions

- Chemistry of water

- Chemical reactions and equilibria

- Acid-base reactions

- Redox reactions

Chemistry II:

- Simple compounds of carbon, aliphatic hydrocarbons, aromatic hydrocarbons,

- Alkohols, phenols, ether, aldehydes, ketones, carbonic acids, ester, amines, amino acids, fats, sugars

- Reaction mechanisms, radical reactions, nucleophilic substitution, elimination reactions, addition reaction

- Practical apllications and examples

Literature

 - Blumenthal, Linke, Vieth: Chemie - Grundwissen für Ingenieure

- Kickelbick: Chemie für Ingenieure (Pearson)

- Mortimer: Chemie. Basiswissen der Chemie.

- Brown, LeMay, Bursten: Chemie. Studieren kompakt.

- Schmuck: Basisbuch Organische Chemie (Pearson)
Course L0475: Chemistry I+II
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Dr. Dorothea Rechtenbach
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1692: Computer Science for Engineers - Introduction and Overview

Courses
Title Typ Hrs/wk CP
Computer Science for Engineers - Introduction and Overview (L2685) Lecture 3 3
Computer Science for Engineers - Introduction and Overview (L2686) Recitation Section (small) 2 3
Module Responsible Prof. Görschwin Fey
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
Skills
Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 10 % Attestation Testate finden semesterbegleitend statt.
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory
Integrated Building Technology: Core Qualification: Compulsory
Logistics and Mobility: Core Qualification: Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Orientation Studies: Core Qualification: Elective Compulsory
Naval Architecture: Core Qualification: Compulsory
Engineering and Management - Major in Logistics and Mobility: Core Qualification: Compulsory
Course L2685: Computer Science for Engineers - Introduction and Overview
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Görschwin Fey
Language DE/EN
Cycle WiSe
Content
Literature
  • Informatik
    • Helmut Herold, Bruno Lurz, Jürgen Wohlrab, Matthias Hopf: Grundlagen der Informatik, 3. Auflage, 816 Seiten, Pearson Studium, 2017.
  • C++
    • Bjarne Stroustrup, Einführung in die Programmierung mit C++, 479 Seiten, Pearson Studium, 2010.
      --> in der englischen Version bereits eine neuere Auflage!
    • Jürgen Wolf : Grundkurs C++: C++-Programmierung verständlich erklärt, Rheinwerk Computing, 3. Auflage, 2016.
Course L2686: Computer Science for Engineers - Introduction and Overview
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Görschwin Fey
Language DE/EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1802: Engineering Mechanics I (Stereostatics)

Courses
Title Typ Hrs/wk CP
Engineering Mechanics I (Statics) (L1001) Lecture 2 3
Engineering Mechanics I (Statics) (L1003) Recitation Section (large) 1 1
Engineering Mechanics I (Statics) (L1002) Recitation Section (small) 2 2
Module Responsible Prof. Benedikt Kriegesmann
Admission Requirements None
Recommended Previous Knowledge

Solid school knowledge in mathematics and physics.

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students can

  • describe the axiomatic procedure used in mechanical contexts;
  • explain important steps in model design;
  • present technical knowledge in stereostatics.
Skills

The students can

  • explain the important elements of mathematical / mechanical analysis and model formation, and apply it to the context of their own problems;
  • apply basic statical methods to engineering problems;
  • estimate the reach and boundaries of statical methods and extend them to be applicable to wider problem sets.
Personal Competence
Social Competence

The students can work in groups and support each other to overcome difficulties.

Autonomy

Students are capable of determining their own strengths and weaknesses and to organize their time and learning based on those.

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Core Qualification: Compulsory
Civil- and Environmental Engineering: Core Qualification: Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Data Science: Specialisation II. Application: Elective Compulsory
Electrical Engineering: Core Qualification: Elective Compulsory
Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory
Computer Science in Engineering: Specialisation II. Mathematics & Engineering Science: Elective Compulsory
Integrated Building Technology: Core Qualification: Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Orientation Studies: Core Qualification: Elective Compulsory
Naval Architecture: Core Qualification: Compulsory
Process Engineering: Core Qualification: Compulsory
Engineering and Management - Major in Logistics and Mobility: Core Qualification: Compulsory
Course L1001: Engineering Mechanics I (Statics)
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer NN
Language DE
Cycle WiSe
Content
  • Tasks in Mechanics
  • Modelling and model elements
  • Vector calculus for forces and torques
  • Forces and equilibrium in space
  • Constraints and reactions, characterization of constraint systems
  • Planar and spatial truss structures
  • Internal forces and moments for beams and frames
  • Center of mass, volumn, area and line
  • Computation of center of mass by intergals, joint bodies
  • Friction (sliding and sticking)
  • Friction of ropes
Literature K. Magnus, H.H. Müller-Slany: Grundlagen der Technischen Mechanik. 7. Auflage, Teubner (2009).
D. Gross, W. Hauger, J. Schröder, W. Wall: Technische Mechanik 1. 11. Auflage, Springer (2011).
Course L1003: Engineering Mechanics I (Statics)
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer NN
Language DE
Cycle WiSe
Content Forces and equilibrium
Constraints and reactions
Frames
Center of mass
Friction
Internal forces and moments for beams
Literature K. Magnus, H.H. Müller-Slany: Grundlagen der Technischen Mechanik. 7. Auflage, Teubner (2009).
D. Gross, W. Hauger, J. Schröder, W. Wall: Technische Mechanik 1. 11. Auflage, Springer (2011).
Course L1002: Engineering Mechanics I (Statics)
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer NN
Language DE
Cycle WiSe
Content Forces and equilibrium
Constraints and reactions
Frames
Center of mass
Friction
Internal forces and moments for beams
Literature K. Magnus, H.H. Müller-Slany: Grundlagen der Technischen Mechanik. 7. Auflage, Teubner (2009).
D. Gross, W. Hauger, J. Schröder, W. Wall: Technische Mechanik 1. 11. Auflage, Springer (2011).

Module M1755: Linking theory and practice (dual study program, Bachelor's degree)

Module Responsible Dr. Henning Haschke
Admission Requirements None
Recommended Previous Knowledge none
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Dual students…

… can describe and classify selected classic and modern theories, concepts and methods 

  • related to self-management, and organising work and learning 
  • self-competence and 
  • social skills

... and apply them to specific situations, projects and plans in a personal and professional context.


Skills

Dual students…

  • ... anticipate typical difficulties, positive and negative effects, as well as success and failure factors in the engineering sector, evaluate them and consider promising strategies and courses of action.


Personal Competence
Social Competence

Dual students…

  • … work together in a problem-oriented and interdisciplinary manner as part of expert and work teams.
  • … are able to assemble and lead working groups.
  • … present complex, subject-related solutions to problems to experts and stakeholders and can develop these further together.
Autonomy

Dual students…

  • … define, reflect and evaluate goals for learning and work processes.
  • … design their learning and work processes independently and sustainably at the university and company.
  • … take responsibility for their learning and work processes.
  • … are able to consciously think through their ideas or actions and relate them to their self-image to develop conclusions for future action based on this.
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written elaboration
Examination duration and scale Studienbegleitende und semesterübergreifende Dokumentation: Die Leistungspunkte für das Modul werden durch die Anfertigung eines digitalen Lern- und Entwicklungsberichtes (E-Portfolio) erworben. Dabei handelt es sich um eine fortlaufende Dokumentation und Reflexion der Lernerfahrungen und der Kompetenzentwicklung im Bereich der Personalen Kompetenz.
Courses
Information regarding lectures and courses can be found in the corresponding module handbook published separately.

Module M1750: Practical module 1 (dual study program, Bachelor's degree)

Courses
Title Typ Hrs/wk CP
Practical term 1 (dual study program, Bachelor's degree) (L2879) 0 6
Module Responsible Dr. Henning Haschke
Admission Requirements None
Recommended Previous Knowledge

A: Self-management, organising work and learning in engineering (for dual study program)

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Dual students…

  • … describe their employer’s organisation (company) and the associated regulations that relate to how tasks and competences are distributed, as well as how work processes are handled. 
  • … understand the structure and objectives of the dual study programme and the increasing requirements throughout the course of study.
Skills

Dual students…

  • … use equipment and resources professionally in accordance with the assigned work areas and tasks, and describe operational processes and procedures with regard to the intended work results/objectives.
  • … implement the university’s application recommendations in relation to their current tasks.


Personal Competence
Social Competence

Dual students…

  • … have familiarised themselves with their new working environment (learning environment) and the associated tasks/processes/working relationships. 
  • … know their central points of contact and company colleagues, and exchange ideas with them constructively.
  • … coordinate work tasks with their professional supervisor and ask for support as needed.
  • … help shape the work in the assigned work area and offer their colleagues support to complete their work. 
  • … work together with others in smaller work teams in a result-oriented manner.


Autonomy

Dual students…

  • … structure their work and learning processes within the company independently in line with their responsibilities and authorisations, and coordinate them with their professional supervisor. 
  • … complete work tasks/assignments with the support of colleagues. 
  • … coordinate the practical phase with any individual preparation required for the examination phase at TUHH. 
  • … document and reflect on how their foundational subjects link with their work as an engineer.


Workload in Hours Independent Study Time 180, Study Time in Lecture 0
Credit points 6
Course achievement None
Examination Written elaboration
Examination duration and scale Documentation accompanying studies and across semesters: Module credit points are earned by completing a digital learning and development report (e-portfolio). This documents and reflects individual learning experiences and skills development relating to interlinking theory and practice, as well as professional practice. In addition, the partner company provides proof to the dual@TUHH Coordination Office that the dual student has completed the practical phase.
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Core Qualification: Compulsory
Civil- and Environmental Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Computer Science: Core Qualification: Compulsory
Data Science: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Compulsory
Engineering Science: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Naval Architecture: Core Qualification: Compulsory
Technomathematics: Core Qualification: Compulsory
Engineering and Management - Major in Logistics and Mobility: Core Qualification: Compulsory
Course L2879: Practical term 1 (dual study program, Bachelor's degree)
Typ
Hrs/wk 0
CP 6
Workload in Hours Independent Study Time 180, Study Time in Lecture 0
Lecturer Dr. Henning Haschke
Language DE
Cycle WiSe
Content

Company onboarding process

  • Assigning initial work areas (supervisor, colleagues)
  • Assigning a contact person within the company (usually the HR department) 
  • Assigning a professional mentor in the work area (relating to practical application) 
  • Responsibilities and authorisations of the dual student within the company
  • Supporting/working with colleagues
  • Scheduling the relevant practical modules with initial work tasks
  • Theory/practice transfer options
  • Scheduling the examination phase/subsequent study semester

Operational knowledge and skills

  • Company-specific: organisational structure, corporate strategy, business and work areas, work procedures and processes, operational levels
  • Process and procedure options within the labour-market-relevant field of engineering
  • Operational equipment and resources
  • Implementing the university’s application recommendations (theory-practice transfer) in corresponding work and task areas across the company

Sharing/reflecting on learning

  • Creating an e-portfolio
  • Relevance of foundational subjects when working as an engineer
  • Comparing the learning and working processes of different learning environments with regard to their results and effects 

Literature
  • Studierendenhandbuch
  • Betriebliche Dokumente
  • Hochschulseitige Anwendungsempfehlungen zum Theorie-Praxis-Transfer

Module M0547: Electrical Engineering II: Alternating Current Networks and Basic Devices

Courses
Title Typ Hrs/wk CP
Electrical Engineering II: Alternating Current Networks and Basic Devices (L0178) Lecture 3 5
Electrical Engineering II: Alternating Current Networks and Basic Devices (L0179) Recitation Section (small) 2 1
Module Responsible Prof. Christian Becker
Admission Requirements None
Recommended Previous Knowledge

Electrical Engineering I

Mathematics I

Direct current networks, complex numbers


Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to reproduce and explain fundamental theories, principles, and methods related to the theory of alternating currents. They can describe networks of linear elements using a complex notation for voltages and currents. They can reproduce an overview of applications for the theory of alternating currents in the area of electrical engineering. Students are capable of explaining the behavior of fundamental passive and active devices as well as their impact on simple circuits.


Skills

Students are capable of calculating parameters within simple electrical networks at alternating currents by means of a complex notation for voltages and currents. They can appraise the fundamental effects that may occur within electrical networks at alternating currents. Students are able to analyze simple circuits such as oscillating circuits, filter, and matching networks quantitatively and dimension elements by means of a design. They can motivate and justify the fundamental elements of an electrical power supply (transformer, transmission line, compensation of reactive power, multiphase system) and are qualified to dimension their main features.


Personal Competence
Social Competence

Students are able to work together on subject related tasks in small groups. They are able to present their results effectively.


Autonomy

Students are capable to gather necessary information from the references provided and relate that information to the context of the lecture. They are able to continually reflect their knowledge by means of activities that accompany the lecture, such as online-tests and exercises that are related to the exam. Based on respective feedback, students are expected to adjust their individual learning process. They are able to draw connections between their knowledge obtained in this lecture and the content of other lectures (e.g. Electrical Engineering I, Linear Algebra, and Analysis).


Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 10 % Midterm
Examination Written exam
Examination duration and scale 90 - 150 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Integrated Building Technology: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Orientation Studies: Core Qualification: Elective Compulsory
Course L0178: Electrical Engineering II: Alternating Current Networks and Basic Devices
Typ Lecture
Hrs/wk 3
CP 5
Workload in Hours Independent Study Time 108, Study Time in Lecture 42
Lecturer Prof. Christian Becker
Language DE
Cycle SoSe
Content

- General time-dependency of electrical networks

- Representation and properties of harmonic signals

- RLC-elements at alternating currents/voltages

- Complex notation for the representation of RLC-elements

- Power in electrical networks at alternating currents, compensation of reactive power

- Frequency response locus (Nyquist plot) and Bode-diagrams

- Measurement instrumentation for assessing alternating currents

- Oscillating circuits, filters, electrical transmission lines

- Transformers, three-phase current, energy converters

- Simple non-linear and active electrical devices


Literature

- M. Albach, "Elektrotechnik", Pearson Studium (2011)

- T. Harriehausen, D. Schwarzenau, "Moeller Grundlagen der Elektrotechnik", Springer (2013)  

- R. Kories, H. Schmidt-Walter, "Taschenbuch der Elektrotechnik", Harri Deutsch (2010)

- C. Kautz, "Tutorien zur Elektrotechnik", Pearson (2009)

- A. Hambley, "Electrical Engineering: Principles and Applications", Pearson (2013)

- R. Dorf, "The Electrical Engineering Handbook", CRC (2006)


Course L0179: Electrical Engineering II: Alternating Current Networks and Basic Devices
Typ Recitation Section (small)
Hrs/wk 2
CP 1
Workload in Hours Independent Study Time 2, Study Time in Lecture 28
Lecturer Prof. Christian Becker
Language DE
Cycle SoSe
Content

- General time-dependency of electrical networks

- Representation and properties of harmonic signals

- RLC-elements at alternating currents/voltages

- Complex notation for the representation of RLC-elements

- Power in electrical networks at alternating currents, compensation of reactive power

- Frequency response locus (Nyquist plot) and Bode-diagrams

- Measurement instrumentation for assessing alternating currents

- Oscillating circuits, filters, electrical transmission lines

- Transformers, three-phase current, energy converters

- Simple non-linear and active electrical devices


Literature

- M. Albach, "Elektrotechnik", Pearson Studium (2011)

- T. Harriehausen, D. Schwarzenau, "Moeller Grundlagen der Elektrotechnik", Springer (2013)  

- R. Kories, H. Schmidt-Walter, "Taschenbuch der Elektrotechnik", Harri Deutsch (2010)

- C. Kautz, "Tutorien zur Elektrotechnik", Pearson (2009)

- A. Hambley, "Electrical Engineering: Principles and Applications", Pearson (2013)

- R. Dorf, "The Electrical Engineering Handbook", CRC (2006)


Module M0594: Fundamentals of Mechanical Engineering Design

Courses
Title Typ Hrs/wk CP
Fundamentals of Mechanical Engineering Design (L0258) Lecture 2 3
Fundamentals of Mechanical Engineering Design (L0259) Recitation Section (large) 2 3
Module Responsible Prof. Dieter Krause
Admission Requirements None
Recommended Previous Knowledge
  • Basic knowledge about mechanics and production engineering
  • Internship (Stage I Practical)
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

After passing the module, students are able to:

  • explain basic working principles and functions of machine elements,
  • explain requirements, selection criteria, application scenarios and practical examples of basic machine elements, indicate the background of dimensioning calculations.
Skills

After passing the module, students are able to:

  • accomplish dimensioning calculations of covered machine elements,
  • transfer knowledge learned in the module to new requirements and tasks (problem solving skills),
  • recognize the content of technical drawings and schematic sketches,
  • technically evaluate basic designs.
Personal Competence
Social Competence
  • Students are able to discuss technical information in the lecture supported by activating methods.
Autonomy
  • Students are able to independently deepen their acquired knowledge in exercises.
  • Students are able to acquire additional knowledge and to recapitulate poorly understood content e.g. by using the video recordings of the lectures.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Core Qualification: Compulsory
Digital Mechanical Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Orientation Studies: Core Qualification: Elective Compulsory
Naval Architecture: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0258: Fundamentals of Mechanical Engineering Design
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Dieter Krause, Prof. Otto von Estorff, Prof. Sören Ehlers
Language DE
Cycle SoSe
Content

Lecture

  • Introduction to design
  • Introduction to the following machine elements
    • Screws
    • Shaft-hub joints
    • Rolling contact bearings
    • Welding / adhesive / solder joints
    • Springs
    • Axes & shafts


  • Presentation of technical objects (technical drawing)


Exercise

  • Calculation methods for dimensioning the following machine elements:
    • Screws
    • Shaft-hub joints
    • Rolling contact bearings
    • Welding / adhesive / solder joints
    • Springs
    • Axis & shafts 
Literature
  • Dubbel, Taschenbuch für den Maschinenbau; Grote, K.-H., Feldhusen, J.(Hrsg.); Springer-Verlag, aktuelle Auflage.
  • Maschinenelemente, Band I-III; Niemann, G., Springer-Verlag, aktuelle Auflage.
  •  Maschinen- und Konstruktionselemente; Steinhilper, W., Röper, R., Springer Verlag, aktuelle Auflage.
  •  Einführung in die DIN-Normen; Klein, M., Teubner-Verlag.
  •  Konstruktionslehre, Pahl, G.; Beitz, W., Springer-Verlag, aktuelle Auflage.
  •  Maschinenelemente 1-2; Schlecht, B., Pearson Verlag, aktuelle Auflage.
  •  Maschinenelemente - Gestaltung, Berechnung, Anwendung; Haberhauer, H., Bodenstein, F., Springer-Verlag, aktuelle Auflage.
  • Roloff/Matek Maschinenelemente; Wittel, H., Muhs, D., Jannasch, D., Voßiek, J., Springer Vieweg, aktuelle Auflage.
  • Sowie weitere Bücher zu speziellen Themen
Course L0259: Fundamentals of Mechanical Engineering Design
Typ Recitation Section (large)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Dieter Krause, Prof. Otto von Estorff, Prof. Sören Ehlers
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0671: Technical Thermodynamics I

Courses
Title Typ Hrs/wk CP
Technical Thermodynamics I (L0437) Lecture 2 4
Technical Thermodynamics I (L0439) Recitation Section (large) 1 1
Technical Thermodynamics I (L0441) Recitation Section (small) 1 1
Module Responsible Prof. Dr. Arne Speerforck
Admission Requirements None
Recommended Previous Knowledge Elementary knowledge in Mathematics and Mechanics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are familiar with the laws of Thermodynamics. They know the relation of the kinds of energy according to 1st law of Thermodynamics and are aware about the limits of energy conversions according to 2nd law of Thermodynamics. They are able to distinguish between state variables and process variables and know the meaning of different state variables like temperature, enthalpy, entropy and also the meaning of exergy and anergy. They are able to draw the Carnot cycle in a Thermodynamics related diagram. They know the physical difference between an ideal and a real gas and are able to use the related equations of state. They know the meaning of a fundamental state of equation and know the basics of two phase Thermodynamics.


Skills

Students are able to calculate the internal energy, the enthalpy, the kinetic and the potential energy as well as work and heat for simple change of states and to use this calculations for the Carnot cycle. They are able to calculate state variables for an ideal and for a real gas from measured thermal state variables.


Personal Competence
Social Competence

The students can discuss in small groups and work out a solution. You can answer comprehension questions about the content that are provided in the lecture with the ClickerOnline tool "TurningPoint" after discussions with other students.

Autonomy

Students can understand the problems posed in tasks physically. They are able to select the methods taught in the lecture and exercise to solve problems and apply them independently to different types of tasks.


Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Core Qualification: Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Digital Mechanical Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory
Integrated Building Technology: Core Qualification: Compulsory
Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Orientation Studies: Core Qualification: Elective Compulsory
Naval Architecture: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Process Engineering: Core Qualification: Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory
Course L0437: Technical Thermodynamics I
Typ Lecture
Hrs/wk 2
CP 4
Workload in Hours Independent Study Time 92, Study Time in Lecture 28
Lecturer Prof. Dr. Arne Speerforck
Language DE
Cycle SoSe
Content
  1. Introduction
  2. Fundamental terms
  3. Thermal Equilibrium and temperature
    3.1 Thermal equation of state
  4. First law
    4.1 Heat and work
    4.2 First law for closed systems
    4.3 First law for open systems
    4.4 Examples
  5. Equations of state and changes of state
    5.1 Changes of state
    5.2 Cycle processes
  6. Second law
    6.1 Carnot process
    6.2 Entropy
    6.3 Examples
    6.4 Exergy
  7. Thermodynamic properties of pure fluids
    7.1 Fundamental equations of Thermodynamics
    7.2 Thermodynamic potentials
    7.3 Calorific state variables for arbritary fluids
    7.4 state equations (van der Waals u.a.)

Literature
  • Schmitz, G.: Technische Thermodynamik, TuTech Verlag, Hamburg, 2009
  • Baehr, H.D.; Kabelac, S.: Thermodynamik, 15. Auflage, Springer Verlag, Berlin 2012

  • Potter, M.; Somerton, C.: Thermodynamics for Engineers, Mc GrawHill, 1993



Course L0439: Technical Thermodynamics I
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Dr. Arne Speerforck
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L0441: Technical Thermodynamics I
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Dr. Arne Speerforck
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0851: Mathematics II

Courses
Title Typ Hrs/wk CP
Mathematics II (L2976) Lecture 4 4
Mathematics II (L2977) Recitation Section (large) 2 2
Mathematics II (L2978) Recitation Section (small) 2 2
Module Responsible Prof. Anusch Taraz
Admission Requirements None
Recommended Previous Knowledge Mathematics I
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students can name further concepts in analysis and linear algebra. They are able to explain them using appropriate examples.
  • Students can discuss logical connections between these concepts.  They are capable of illustrating these connections with the help of examples.
  • They know proof strategies and can reproduce them.


Skills
  • Students can model problems in analysis and linear algebra with the help of the concepts studied in this course. Moreover, they are capable of solving them by applying established methods.
  • Students are able to discover and verify further logical connections between the concepts studied in the course.
  • For a given problem, the students can develop and execute a suitable approach, and are able to critically evaluate the results.


Personal Competence
Social Competence
  • Students are able to work together in teams. They are capable to use mathematics as a common language.
  • In doing so, they can communicate new concepts according to the needs of their cooperating partners. Moreover, they can design examples to check and deepen the understanding of their peers.


Autonomy
  • Students are capable of checking their understanding of complex concepts on their own. They can specify open questions precisely and know where to get help in solving them.
  • Students have developed sufficient persistence to be able to work for longer periods in a goal-oriented manner on hard problems.


Workload in Hours Independent Study Time 128, Study Time in Lecture 112
Credit points 8
Course achievement
Compulsory Bonus Form Description
Yes 10 % Excercises
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Core Qualification: Compulsory
Civil- and Environmental Engineering: Core Qualification: Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Digital Mechanical Engineering: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Integrated Building Technology: Core Qualification: Compulsory
Logistics and Mobility: Core Qualification: Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Orientation Studies: Core Qualification: Elective Compulsory
Naval Architecture: Core Qualification: Compulsory
Process Engineering: Core Qualification: Compulsory
Engineering and Management - Major in Logistics and Mobility: Core Qualification: Compulsory
Course L2976: Mathematics II
Typ Lecture
Hrs/wk 4
CP 4
Workload in Hours Independent Study Time 64, Study Time in Lecture 56
Lecturer Prof. Anusch Taraz
Language DE
Cycle SoSe
Content
Literature
Course L2977: Mathematics II
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Anusch Taraz
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L2978: Mathematics II
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Anusch Taraz
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1803: Engineering Mechanics II (Elastostatics)

Courses
Title Typ Hrs/wk CP
Engineering Mechanics II (Elastostatics) (L0493) Lecture 2 2
Engineering Mechanics II (Elastostatics) (L1691) Recitation Section (large) 2 2
Engineering Mechanics II (Elastostatics) (L0494) Recitation Section (small) 2 2
Module Responsible Prof. Christian Cyron
Admission Requirements None
Recommended Previous Knowledge

Engineering Mechanics I, Mathematics I (basic knowledge of rigid body mechanics such as balance of linear and angular momentum, basic knowledge of linear algebra like vector-matrix calculus, basic knowledge of analysis such as differential and integral calculus)


Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Having accomplished this module, the students know and understand the basic concepts of continuum mechanics and elastostatics, in particular stress, strain, constitutive laws, stretching, bending, torsion, failure analysis, energy methods and stability of structures.

Skills

Having accomplished this module, the students are able to
- apply the fundamental concepts of mathematical and mechanical modeling and analysis to problems of their choice
- apply the basic methods of elastostatics to problems of engineering, in particular in the design of mechanical structures
- to educate themselves about more advanced aspects of elastostatics

Personal Competence
Social Competence Ability to communicate complex problems in elastostatics, to work out solution to these problems together with others, and to communicate these solutions
Autonomy self-discipline and endurance in tackling independently complex challenges in elastostatics; ability to learn also very abstract knowledge
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Core Qualification: Compulsory
Civil- and Environmental Engineering: Core Qualification: Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Elective Compulsory
Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory
Integrated Building Technology: Core Qualification: Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Orientation Studies: Core Qualification: Elective Compulsory
Naval Architecture: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Process Engineering: Core Qualification: Compulsory
Engineering and Management - Major in Logistics and Mobility: Core Qualification: Compulsory
Course L0493: Engineering Mechanics II (Elastostatics)
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Christian Cyron
Language DE
Cycle SoSe
Content

The lecture Engineering Mechanics II introduces the fundamental concepts of stress and strain and explains how these can be used to characterize and compute elastic deformations of mechanical bodies under loading. The focus of the lecture lies on: 

  • basis of continuum mechanics: stress, strain, constitutive laws
  • truss
  • torsion bar
  • beam theory: bending, moment of inertia of area, transverse shear
  • energy methods: Maxwell-Betti reciprocal work theorem, Castigliano's second theorem, theorem of Menabrea
  • strength of materials: maximum principle stress criterion, yield criteria according to Tresca and von Mises
  • stability of mechanical structures: Euler buckling strut
Literature
  • Gross, D., Hauger, W., Schröder, J., Wall, W.A.: Technische Mechanik 1, Springer
  • Gross, D., Hauger, W., Schröder, J., Wall, W.A.: Technische Mechanik 2 Elastostatik, Springer


Course L1691: Engineering Mechanics II (Elastostatics)
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Christian Cyron, Dr. Konrad Schneider
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L0494: Engineering Mechanics II (Elastostatics)
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Christian Cyron
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1751: Practical module 2 (dual study program, Bachelor's degree)

Courses
Title Typ Hrs/wk CP
Practical term 2 (dual study program, Bachelor's degree) (L2880) 0 6
Module Responsible Dr. Henning Haschke
Admission Requirements None
Recommended Previous Knowledge
  • Successful completion of practical module 1 as part of the dual Bachelor’s course
  • course A from the module on interlinking theory and practice as part of the dual Bachelor’s course
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Dual students …

  • … describe their employer’s organisational structure (company) and differentiate between associated regulations that relate to how tasks and competences are distributed, as well as how work processes are handled. 
  • … understand the structure and objectives of the dual study programme and the increasing requirements throughout the course of study.


Skills

Dual students …

  • … use equipment and resources professionally in accordance with the assigned work areas and tasks, and assess operational processes and procedures with regard to the intended work results/objectives.
  • … implement the university’s application recommendations in relation to their current tasks.
Personal Competence
Social Competence

Dual students …

  • … have familiarised themselves with their new working environment (learning environment) and the associated tasks/processes/working relationships. 
  • … know their central points of contact and colleagues, and are integrated into the designated tasks and work areas. 
  • … coordinate work tasks with their professional supervisor and justify procedures and intended results. 
  • … help shape the work in the assigned work area and offer their colleagues support to complete their work or ask for support based on their needs. 
  • … work together with others in interdisciplinary work teams in a result-oriented manner.
Autonomy

Dual students …

  • … structure their work and learning processes within the company independently in line with their responsibilities and authorisations, and coordinate them with their professional supervisor. 
  • … complete work tasks/assignments independently and/or with the support of colleagues. 
  • … coordinate the practical phase with any individual preparation required for the examination phase at TUHH. 
  • … document and reflect on how their foundational subjects link with their work as an engineer.
Workload in Hours Independent Study Time 180, Study Time in Lecture 0
Credit points 6
Course achievement None
Examination Written elaboration
Examination duration and scale Documentation accompanying studies and across semesters: Module credit points are earned by completing a digital learning and development report (e-portfolio). This documents and reflects individual learning experiences and skills development relating to interlinking theory and practice, as well as professional practice. In addition, the partner company provides proof to the dual@TUHH Coordination Office that the dual student has completed the practical phase.
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Core Qualification: Compulsory
Civil- and Environmental Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Computer Science: Core Qualification: Compulsory
Data Science: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Compulsory
Engineering Science: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Naval Architecture: Core Qualification: Compulsory
Technomathematics: Core Qualification: Compulsory
Engineering and Management - Major in Logistics and Mobility: Core Qualification: Compulsory
Course L2880: Practical term 2 (dual study program, Bachelor's degree)
Typ
Hrs/wk 0
CP 6
Workload in Hours Independent Study Time 180, Study Time in Lecture 0
Lecturer Dr. Henning Haschke
Language DE
Cycle SoSe
Content

Company onboarding process

  • Assigning work areas (supervisor, colleagues)
  • Assigning a contact person within the company (usually the HR department) 
  • Assigning a professional mentor in the work area (relating to practical application) 
  • Responsibilities and authorisations of the dual student within the company
  • Supporting/working with colleagues
  • Scheduling the relevant practical modules with work tasks
  • Theory/practice transfer options
  • Scheduling the examination phase/subsequent study semester

Operational knowledge and skills

  • Company-specific: organisational structure, corporate strategy, business and work areas, work procedures and processes, operational levels
  • Process and procedure options within the labour-market-relevant field of engineering
  • Operational equipment and resources
  • Implementing the university’s application recommendations (theory-practice transfer) in corresponding work and task areas across the company

Sharing/reflecting on learning

  • Creating an e-portfolio
  • Relevance of foundational subjects when working as an engineer
  • Comparing the learning and working processes of different learning environments with regard to their results and effects
Literature
  • Studierendenhandbuch
  • Betriebliche Dokumente
  • Hochschulseitige Anwendungsempfehlungen zum Theorie-Praxis-Transfer

Module M0688: Technical Thermodynamics II

Courses
Title Typ Hrs/wk CP
Technical Thermodynamics II (L0449) Lecture 2 4
Technical Thermodynamics II (L0450) Recitation Section (large) 1 1
Technical Thermodynamics II (L0451) Recitation Section (small) 1 1
Module Responsible Prof. Dr. Arne Speerforck
Admission Requirements None
Recommended Previous Knowledge

Elementary knowledge in Mathematics, Mechanics and Technical Thermodynamics I

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are familiar with different cycle processes like Joule, Otto, Diesel, Stirling, Seiliger and Clausius-Rankine. They are able to derive energetic and exergetic efficiencies and know the influence different factors. They know the difference between anti clockwise and clockwise cycles (heat-power cycle, cooling cycle). They have increased knowledge of steam cycles and are able to draw the different cycles in Thermodynamics related diagrams. They know the laws of gas mixtures, especially of humid air processes and are able to perform simple combustion calculations. They are provided with basic knowledge in gas dynamics and know the definition of the speed of sound and know about a Laval nozzle.


Skills

Students are able to use thermodynamic laws for the design of technical processes. Especially they are able to formulate energy, exergy- and entropy balances and by this to optimise technical processes. They are able to perform simple safety calculations in regard to an outflowing gas from a tank. They are able to transform a verbal formulated message into an abstract formal procedure.



Personal Competence
Social Competence

The students are able to discuss in small groups and develop an approach. You can answer comprehension questions about the content that are provided in the lecture with the ClickerOnline tool "TurningPoint" after discussions with other students.

Autonomy

Students can physically understand and explain the complex problems (cycle processes, air conditioning processes, combustion processes) set in tasks. They are able to select the methods taught in the lecture and exercise to solve complex problems and apply them independently to different types of tasks.





Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Core Qualification: Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Energy Systems: Technical Complementary Course Core Studies: Elective Compulsory
Engineering Science: Specialisation Mechanical Engineering: Elective Compulsory
General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering: Elective Compulsory
Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory
Integrated Building Technology: Core Qualification: Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Process Engineering: Core Qualification: Compulsory
Course L0449: Technical Thermodynamics II
Typ Lecture
Hrs/wk 2
CP 4
Workload in Hours Independent Study Time 92, Study Time in Lecture 28
Lecturer Prof. Dr. Arne Speerforck
Language DE
Cycle WiSe
Content

8. Cycle processes

7. Gas - vapor - mixtures

10. Open sytems with constant flow rates

11. Combustion processes

12. Special fields of Thermodynamics

Literature
  • Schmitz, G.: Technische Thermodynamik, TuTech Verlag, Hamburg, 2009
  • Baehr, H.D.; Kabelac, S.: Thermodynamik, 15. Auflage, Springer Verlag, Berlin 2012

  • Potter, M.; Somerton, C.: Thermodynamics for Engineers, Mc GrawHill, 1993
Course L0450: Technical Thermodynamics II
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Dr. Arne Speerforck
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L0451: Technical Thermodynamics II
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Dr. Arne Speerforck
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0853: Mathematics III

Courses
Title Typ Hrs/wk CP
Analysis III (L1028) Lecture 2 2
Analysis III (L1029) Recitation Section (small) 1 1
Analysis III (L1030) Recitation Section (large) 1 1
Differential Equations 1 (Ordinary Differential Equations) (L1031) Lecture 2 2
Differential Equations 1 (Ordinary Differential Equations) (L1032) Recitation Section (small) 1 1
Differential Equations 1 (Ordinary Differential Equations) (L1033) Recitation Section (large) 1 1
Module Responsible Prof. Anusch Taraz
Admission Requirements None
Recommended Previous Knowledge Mathematics I + II
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students can name the basic concepts in the area of analysis and differential equations. They are able to explain them using appropriate examples.
  • Students can discuss logical connections between these concepts.  They are capable of illustrating these connections with the help of examples.
  • They know proof strategies and can reproduce them.


Skills
  • Students can model problems in the area of analysis and differential equations with the help of the concepts studied in this course. Moreover, they are capable of solving them by applying established methods.
  • Students are able to discover and verify further logical connections between the concepts studied in the course.
  • For a given problem, the students can develop and execute a suitable approach, and are able to critically evaluate the results.


Personal Competence
Social Competence
  • Students are able to work together in teams. They are capable to use mathematics as a common language.
  • In doing so, they can communicate new concepts according to the needs of their cooperating partners. Moreover, they can design examples to check and deepen the understanding of their peers.


Autonomy
  • Students are capable of checking their understanding of complex concepts on their own. They can specify open questions precisely and know where to get help in solving them.
  • Students have developed sufficient persistence to be able to work for longer periods in a goal-oriented manner on hard problems.


Workload in Hours Independent Study Time 128, Study Time in Lecture 112
Credit points 8
Course achievement None
Examination Written exam
Examination duration and scale 60 min (Analysis III) + 60 min (Differential Equations 1)
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Core Qualification: Compulsory
Civil- and Environmental Engineering: Core Qualification: Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Digital Mechanical Engineering: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Integrated Building Technology: Core Qualification: Compulsory
Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory
Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory
Logistics and Mobility: Specialisation Information Technology: Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Naval Architecture: Core Qualification: Compulsory
Process Engineering: Core Qualification: Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Compulsory
Course L1028: Analysis III
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle WiSe
Content

Main features of differential and integrational calculus of several variables 

  • Differential calculus for several variables
  • Mean value theorems and Taylor's theorem
  • Maximum and minimum values
  • Implicit functions
  • Minimization under equality constraints
  • Newton's method for multiple variables
  • Double integrals over general regions
  • Line and surface integrals
  • Theorems of Gauß and Stokes
Literature
  • http://www.math.uni-hamburg.de/teaching/export/tuhh/index.html


Course L1029: Analysis III
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L1030: Analysis III
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L1031: Differential Equations 1 (Ordinary Differential Equations)
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle WiSe
Content

Main features of the theory and numerical treatment of ordinary differential equations 

  • Introduction and elementary methods
  • Exsitence and uniqueness of initial value problems
  • Linear differential equations
  • Stability and qualitative behaviour of the solution
  • Boundary value problems and basic concepts of calculus of variations
  • Eigenvalue problems
  • Numerical methods for the integration of initial and boundary value problems
  • Classification of partial differential equations

Literature
  • http://www.math.uni-hamburg.de/teaching/export/tuhh/index.html


Course L1032: Differential Equations 1 (Ordinary Differential Equations)
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L1033: Differential Equations 1 (Ordinary Differential Equations)
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1804: Engineering Mechanics III (Dynamics)

Courses
Title Typ Hrs/wk CP
Engineering Mechanics III (Dynamics) (L1134) Lecture 3 3
Engineering Mechanics III (Dynamics) (L1136) Recitation Section (large) 1 1
Engineering Mechanics III (Dynamics) (L1135) Recitation Section (small) 2 2
Module Responsible Prof. Robert Seifried
Admission Requirements None
Recommended Previous Knowledge

Mathematics I, II, Engineering Mechanics I (Statics). Parallel to Engineering Mechanik III  the module Mathematics  III should be attended.

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students can

  • describe the axiomatic procedure used in mechanical contexts;
  • explain important steps in model design;
  • present technical knowledge in kinematics, kinetics and vibrations.
Skills

The students can

  • explain the important elements of mathematical / mechanical analysis and model formation, and apply it to the context of their own problems;
  • apply basic kinematic, kinetic and vibraton methods to engineering problems;
  • estimate the reach and boundaries of kinematic, kinetic and vibraton methods and extend them to be applicable to wider problem sets.
Personal Competence
Social Competence

The students can work in groups and support each other to overcome difficulties.

Autonomy

Students are capable of determining their own strengths and weaknesses and to organize their time and learning based on those.

Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Core Qualification: Compulsory
Data Science: Core Qualification: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory
Integrated Building Technology: Core Qualification: Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Naval Architecture: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L1134: Engineering Mechanics III (Dynamics)
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Robert Seifried
Language DE
Cycle WiSe
Content

Kinematics
1.1 Motion of a particle
1.2 Planar motion of a rigid body
1.3 Spatial motion of a rigid body
1.4 Spatial relative Kinematics

2 Kinetics
2.1 Linear momentum and change of linear momentum

2.2 Angular momentum and change of angular momentum

2.3 Kinetics of rigid bodies
2.4 Energy and balance of energy

3 Vibrations
3.1 Classification of Vibrations
3.2 Free undamped vibration
3.3 Free damped vibration
3.4 Forced vibration

4 Kinetics of gyroscopes
4.1 Free gyroscopic motion
4.2 Forced gyroscopic motion

Literature K. Magnus, H.H. Müller-Slany: Grundlagen der Technischen Mechanik. 7. Auflage, Teubner (2009).
D. Gross, W. Hauger, J. Schröder, W. Wall: Technische Mechanik 3 und 4. 11. Auflage, Springer (2011).
Course L1136: Engineering Mechanics III (Dynamics)
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Robert Seifried
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L1135: Engineering Mechanics III (Dynamics)
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Robert Seifried
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1752: Practical module 3 (dual study program, Bachelor's degree)

Courses
Title Typ Hrs/wk CP
Practical term 3 (dual study program, Bachelor's degree) (L2881) 0 6
Module Responsible Dr. Henning Haschke
Admission Requirements None
Recommended Previous Knowledge
  • Successful completion of practical module 2 as part of the dual Bachelor’s course
  • course B from the module on interlinking theory and practice as part of the dual Bachelor’s course
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Dual students …

  • … understand the company’s strategic orientation, as well as the functions and organisation of central departments with their decision-making structures, network relationships.
  • … understand the requirements of the engineering profession and correctly estimate the resulting responsibility. 
  • … combine their knowledge of facts, principles, theories and methods gained from previous study content with acquired practical knowledge - in particular their knowledge of practical professional procedures and approaches, in the current field of activity.


Skills

Dual students …

  • … apply technical theoretical knowledge to current problems in their own area of work, and evaluate work processes and results.
  • … use technology, equipment and resources in accordance with the assigned work areas and tasks, and assess operational processes and procedures with regard to the intended work results/objectives.
  • … implement the university’s application recommendations in relation to their current tasks.
Personal Competence
Social Competence

Dual students …

  • … plan work processes cooperatively, including across work areas. 
  • … communicate professionally with operational stakeholders and present complex issues in a structured, targeted and convincing manner.
Autonomy

Dual students …

  • … assume responsibility for work assignments and areas.
  • … document and reflect on the relevance of subject modules and specialisations for work as an engineer, as well as the implementation of the university’s application recommendations and the associated challenges of a positive transfer of knowledge between theory and practice.
Workload in Hours Independent Study Time 180, Study Time in Lecture 0
Credit points 6
Course achievement None
Examination Written elaboration
Examination duration and scale Documentation accompanying studies and across semesters: Module credit points are earned by completing a digital learning and development report (e-portfolio). This documents and reflects individual learning experiences and skills development relating to interlinking theory and practice, as well as professional practice. In addition, the partner company provides proof to the dual@TUHH Coordination Office that the dual student has completed the practical phase.
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Core Qualification: Compulsory
Civil- and Environmental Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Computer Science: Core Qualification: Compulsory
Data Science: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Compulsory
Engineering Science: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Naval Architecture: Core Qualification: Compulsory
Technomathematics: Core Qualification: Compulsory
Engineering and Management - Major in Logistics and Mobility: Core Qualification: Compulsory
Course L2881: Practical term 3 (dual study program, Bachelor's degree)
Typ
Hrs/wk 0
CP 6
Workload in Hours Independent Study Time 180, Study Time in Lecture 0
Lecturer Dr. Henning Haschke
Language DE
Cycle WiSe
Content

Company onboarding process

  • Assigning work area(s)
  • Extending responsibilities and authorisations of the dual student within the company
  • Independent work tasks and areas
  • Participating in project teams
  • Scheduling the relevant practical modules with work tasks
  • Theory/practice transfer options
  • Scheduling the examination phase/subsequent study semester

Operational knowledge and skills

  • Company-specific: strategic direction, organisation of central business and work areas, departments, decision-making structures, network relationships and internal communication
  • Linking facts, principles and theories with practical knowledge
  • Process and procedure options within the labour-market-relevant field of engineering
  • Operational technology, equipment and resources
  • Implementing the university’s application recommendations (theory-practice transfer) in corresponding work and task areas across the company

Sharing/reflecting on learning

  • E-portfolio
  • Relevance of subject modules and specialisations when working as an engineer
  • University application recommendations for transferring knowledge between theory and practice
Literature
  • Studierendenhandbuch
  • Betriebliche Dokumente
  • Hochschulseitige Anwendungsempfehlungen zum Theorie-Praxis-Transfer

Module M0672: Signals and Systems

Courses
Title Typ Hrs/wk CP
Signals and Systems (L0432) Lecture 3 4
Signals and Systems (L0433) Recitation Section (small) 2 2
Module Responsible Prof. Gerhard Bauch
Admission Requirements None
Recommended Previous Knowledge

Mathematics 1-3

The modul is an introduction to the theory of signals and systems. Good knowledge in maths as covered by the moduls Mathematik 1-3 is expected. Further experience with spectral transformations (Fourier series, Fourier transform, Laplace transform) is useful but not required.

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students are able to classify and describe signals and linear time-invariant (LTI) systems using methods of signal and system theory. They are able to apply the fundamental transformations of continuous-time and discrete-time signals and systems. They can describe and analyse deterministic signals and systems mathematically in both time and image domain. In particular, they understand the effects in time domain and image domain which are caused by the transition of a continuous-time signal to a discrete-time signal.

The students are familiar with the contents of lecture and tutorials. They can explain and apply them to new problems.

Skills The students are able to describe and analyse deterministic signals and linear time-invariant systems using methods of signal and system theory. They can analyse and design basic systems regarding important properties such as magnitude and phase response, stability, linearity etc.. They can assess the impact of LTI systems on the signal properties in time and frequency domain.
Personal Competence
Social Competence The students can jointly solve specific problems.
Autonomy The students are able to acquire relevant information from appropriate literature sources. They can control their level of knowledge during the lecture period by solving tutorial problems, software tools, clicker system. 
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Core Qualification: Compulsory
Computer Science: Core Qualification: Compulsory
Computer Science: Specialisation II. Mathematics and Engineering Science: Elective Compulsory
Data Science: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Integrated Building Technology: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0432: Signals and Systems
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Gerhard Bauch
Language DE/EN
Cycle SoSe
Content
  • Introduction to signal and system theory

  • Signals
    • Classification of signals
      • Continuous-time and discrete-time signals
      • Analog and digital signals
      • Deterministic and random signals
    • Description of LTI systems by differential equations or difference equations, respectively
    • Basic properties of signals and operations on signals
    • Elementary signals
    • Distributions (Generalized Functions)
    • Power and energy of signals
    • Correlation functions of deterministic signals
      • Autocorrelation function
      • Crosscorrelation function
      • Orthogonal signals
      • Applications of correlation
  • Linear time-invariant (LTI) systems
    • Linearity
    • Time-invariance
    • Description of LTI systems by impulse response and frequency response
    • Convolution
    • Convolution and correlation
    • Properties of LTI-systems
    • Causal systems
    • Stable systems
    • Memoryless systems
  • Fourier Series and Fourier Transform
    • Fourier transform of continuous-time signals, discrete-time signals, periodic signals, non-periodic signals
    • Properties of the Fourier transform
    • Fourier transform of some basic signals
    • Parseval’s theorem
  • Analysis of LTI-systems and signals in the frequency domain
    • Frequency response, magnitude response and phase response
    • Transmission factor, attenuation, gain
    • Frequency-flat and frequency-selective LTI-systems
    • Bandwidth definitions
    • Basic types of systems (filters), lowpass, highpass, bandpass, bandstop systems
    • Phase delay and group delay
    • Linear-phase systems
    • Distortion-free systems
    • Spectrum analysis with limited observation window: Leakage effect
  • Laplace Transform
    • Relation of Fourier transform and Laplace transform
    • Properties of the Laplace transform
    • Laplace transform of some basic signals
  • Analysis of LTI-systems in the s-domain
    • Transfer function of LTI-systems
    • Relation of Laplace transform, magnitude response and phase response
    • Analysis of LTI-systems using pole-zero plots
    • Allpass filters
    • Minimum-phase, maximum-phase and mixed phase filters
    • Stable systems
  • Sampling
    • Sampling theorem
    • Reconstruction of continuous-time signals in frequency domain and time domain
    • Oversampling
    • Aliasing
    • Sampling with pulses of finite duration, sample and hold
    • Decimation and interpolation
  • Discrete-Time Fourier Transform (DTFT)
    • Relation of Fourier transform and DTFT
    • Properties of the DTFT
  • Discrete Fourier Transform (DFT)
    • Relation of DTFT and DFT
    • Cyclic properties of the DFT
    • DFT matrix
    • Zero padding
    • Cyclic convolution
    • Fast Fourier Transform (FFT)
    • Application of the DFT: Orthogonal Frequency Division Multiplex (OFDM)
  • Z-Transform
    • Relation of Laplace transform, DTFT, and z-transform
    • Properties of the z-transform
    • Z-transform of some basic discrete-time signals
  • Discrete-time systems, digital filters
    • FIR and IIR filters
    • Z-transform of digital filters
    • Analysis of discrete-time systems using pole-zero plots in the z-domain
    • Stability
    • Allpass filters
    • Minimum-phase, maximum-phase and mixed-phase filters
    • Linear phase filters
Literature
  • T. Frey , M. Bossert , Signal- und Systemtheorie, B.G. Teubner Verlag 2004

  • K. Kammeyer, K. Kroschel, Digitale Signalverarbeitung, Teubner Verlag.

  • B. Girod ,R. Rabensteiner , A. Stenger , Einführung in die Systemtheorie, B.G. Teubner, Stuttgart, 1997

  • J.R. Ohm, H.D. Lüke , Signalübertragung, Springer-Verlag 8. Auflage, 2002

  • S. Haykin, B. van Veen: Signals and systems. Wiley.

  • Oppenheim, A.S. Willsky: Signals and Systems. Pearson.

  • Oppenheim, R. W. Schafer: Discrete-time signal processing. Pearson.

Course L0433: Signals and Systems
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Gerhard Bauch
Language DE/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1753: Practical module 4 (dual study program, Bachelor's degree)

Courses
Title Typ Hrs/wk CP
Practical term 4 (dual study program, Bachelor's degree) (L2882) 0 6
Module Responsible Dr. Henning Haschke
Admission Requirements None
Recommended Previous Knowledge
  • Successful completion of practical module 3 as part of the dual Bachelor’s course
  • course B from the module on interlinking theory and practice as part of the dual Bachelor’s course
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Dual students …

  • … understand the company’s strategic orientation, as well as the functions and organisation of central departments with their decision-making structures, network relationships, and relevant company communication.
  • … have developed an understanding of the requirements and responsibilities of the engineering profession, know the scope and limits of the professional field of activity. 
  • … can combine their knowledge of facts, principles, theories and methods gained from previous study content with acquired practical knowledge - in particular their knowledge of practical professional procedures and approaches, in the current field of activity.


Skills

Dual students …

  • … apply technical theoretical knowledge to current problems in their own field of work, and evaluate work processes and results, taking into account different possible courses of action.
  • … use technology, equipment and resources in accordance with the assigned work areas and tasks, and can assess operational processes and procedures with regard to the intended work results/objectives.
  • … implement the university’s application recommendations in relation to their current tasks.
Personal Competence
Social Competence

Dual students …

  • … are able to plan work processes cooperatively, across work areas and in heterogeneous groups.
  • … communicate professionally with operational stakeholders and present complex issues in a structured, targeted and convincing manner.
Autonomy

Dual students …

  • … assume responsibility for work assignments and areas, and coordinate the associated work processes.
  • … document and reflect on the relevance of subject modules and specialisations for work as an engineer, as well as the implementation of the university’s application recommendations and the associated challenges of a positive transfer of knowledge between theory and practice.
Workload in Hours Independent Study Time 180, Study Time in Lecture 0
Credit points 6
Course achievement None
Examination Written elaboration
Examination duration and scale Documentation accompanying studies and across semesters: Module credit points are earned by completing a digital learning and development report (e-portfolio). This documents and reflects individual learning experiences and skills development relating to interlinking theory and practice, as well as professional practice. In addition, the partner company provides proof to the dual@TUHH Coordination Office that the dual student has completed the practical phase.
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Core Qualification: Compulsory
Civil- and Environmental Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Computer Science: Core Qualification: Compulsory
Data Science: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Compulsory
Engineering Science: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Naval Architecture: Core Qualification: Compulsory
Technomathematics: Core Qualification: Compulsory
Engineering and Management - Major in Logistics and Mobility: Core Qualification: Compulsory
Course L2882: Practical term 4 (dual study program, Bachelor's degree)
Typ
Hrs/wk 0
CP 6
Workload in Hours Independent Study Time 180, Study Time in Lecture 0
Lecturer Dr. Henning Haschke
Language DE
Cycle SoSe
Content

Company onboarding process

  • Assigning work area(s)
  • Extending responsibilities and authorisations of the dual student within the company
  • Independent work tasks and areas
  • Participating in project teams
  • Scheduling the relevant practical module 
  • Theory/practice transfer options
  • Scheduling the examination phase/subsequent study semester

Operational knowledge and skills

  • Company-specific: strategic direction, organisation of central business and work areas, departments, decision-making structures, network relationships and internal communication
  • Linking facts, principles and theories with practical knowledge
  • Process and procedure options within the labour-market-relevant field of engineering
  • Operational technology, equipment and resources
  • Implementing the university’s application recommendations (theory-practice transfer) in corresponding work and task areas across the company

Sharing/reflecting on learning

  • E-portfolio
  • Relevance of subject modules and specialisations when working as an engineer 
  • University application recommendations for transferring knowledge between theory and practice
Literature
  • Studierendenhandbuch
  • Betriebliche Dokumente
  • Hochschulseitige Anwendungsempfehlungen zum Theorie-Praxis-Transfer

Module M0833: Introduction to Control Systems

Courses
Title Typ Hrs/wk CP
Introduction to Control Systems (L0654) Lecture 2 4
Introduction to Control Systems (L0655) Recitation Section (small) 2 2
Module Responsible Prof. Herbert Werner
Admission Requirements None
Recommended Previous Knowledge

Representation of signals and systems in time and frequency domain, Laplace transform


Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students can represent dynamic system behavior in time and frequency domain, and can in particular explain properties of first and second order systems
  • They can explain the dynamics of simple control loops and interpret dynamic properties in terms of frequency response and root locus
  • They can explain the Nyquist stability criterion and the stability margins derived from it.
  • They can explain the role of the phase margin in analysis and synthesis of control loops
  • They can explain the way a PID controller affects a control loop in terms of its frequency response
  • They can explain issues arising when controllers designed in continuous time domain are implemented digitally
Skills
  • Students can transform models of linear dynamic systems from time to frequency domain and vice versa
  • They can simulate and assess the behavior of systems and control loops
  • They can design PID controllers with the help of heuristic (Ziegler-Nichols) tuning rules
  • They can analyze and synthesize simple control loops with the help of root locus and frequency response techniques
  • They can calculate discrete-time approximations of controllers designed in continuous-time and use it for digital implementation
  • They can use standard software tools (Matlab Control Toolbox, Simulink) for carrying out these tasks
Personal Competence
Social Competence Students can work in small groups to jointly solve technical problems, and experimentally validate their controller designs
Autonomy

Students can obtain information from provided sources (lecture notes, software documentation, experiment guides) and use it when solving given problems.

They can assess their knowledge in weekly on-line tests and thereby control their learning progress.



Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Core Qualification: Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Data Science: Core Qualification: Elective Compulsory
Data Science: Specialisation II. Application: Elective Compulsory
Electrical Engineering: Core Qualification: Compulsory
Energy and Environmental Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Integrated Building Technology: Core Qualification: Elective Compulsory
Logistics and Mobility: Specialisation Engineering Science: Elective Compulsory
Logistics and Mobility: Specialisation Information Technology: Elective Compulsory
Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory
Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course Core Studies: Elective Compulsory
Process Engineering: Core Qualification: Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory
Course L0654: Introduction to Control Systems
Typ Lecture
Hrs/wk 2
CP 4
Workload in Hours Independent Study Time 92, Study Time in Lecture 28
Lecturer Prof. Herbert Werner
Language DE
Cycle WiSe
Content

Signals and systems

  • Linear systems, differential equations and transfer functions
  • First and second order systems, poles and zeros, impulse and step response
  • Stability

Feedback systems

  • Principle of feedback, open-loop versus closed-loop control
  • Reference tracking and disturbance rejection
  • Types of feedback, PID control
  • System type and steady-state error, error constants
  • Internal model principle

Root locus techniques

  • Root locus plots
  • Root locus design of PID controllers

Frequency response techniques

  • Bode diagram
  • Minimum and non-minimum phase systems
  • Nyquist plot, Nyquist stability criterion, phase and gain margin
  • Loop shaping, lead lag compensation
  • Frequency response interpretation of PID control

Time delay systems

  • Root locus and frequency response of time delay systems
  • Smith predictor

Digital control

  • Sampled-data systems, difference equations
  • Tustin approximation, digital implementation of PID controllers

Software tools

  • Introduction to Matlab, Simulink, Control toolbox
  • Computer-based exercises throughout the course
Literature
  • Werner, H., Lecture Notes „Introduction to Control Systems“
  • G.F. Franklin, J.D. Powell and A. Emami-Naeini "Feedback Control of Dynamic Systems", Addison Wesley, Reading, MA, 2009
  • K. Ogata "Modern Control Engineering", Fourth Edition, Prentice Hall, Upper Saddle River, NJ, 2010
  • R.C. Dorf and R.H. Bishop, "Modern Control Systems", Addison Wesley, Reading, MA 2010
Course L0655: Introduction to Control Systems
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Herbert Werner
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1754: Practical module 5 (dual study program, Bachelor's degree)

Courses
Title Typ Hrs/wk CP
Practical term 5 (dual study program, Bachelor's degree) (L2883) 0 6
Module Responsible Dr. Henning Haschke
Admission Requirements None
Recommended Previous Knowledge
  • Successful completion of practical module 4 as part of the dual Bachelor’s course
  • course C from the module on interlinking theory and practice as part of the dual Bachelor’s course
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Dual students …

  • … combine their knowledge of facts, principles, theories and methods gained from previous study content with acquired practical knowledge - in particular their knowledge of practical professional procedures and approaches, in the current field of activity. 
  • … have a critical understanding of the practical applications of their engineering subject.


Skills

Dual students …

  • … apply technical theoretical knowledge to complex, interdisciplinary problems within the company, and evaluate the associated work processes and results, taking into account different possible courses of action.
  • … implement the university’s application recommendations with regard to their current tasks. 
  • … develop new solutions as well as procedures and approaches in their field of activity and area of responsibility - including in the case of frequently changing requirements (systemic skills).
  • … are able to analyse and evaluate operational issues using academic methods.
Personal Competence
Social Competence

Dual students …

  • … work responsibly in operational project teams and proactively deal with problems within their team.
  • … represent complex engineering viewpoints, facts, problems and solution approaches in discussions with internal and external stakeholders and develop these further together.
Autonomy

Dual students …

  • … define goals for their own learning and working processes as engineers.
  • … document and reflect on learning and work processes in their area of responsibility.
  • … document and reflect on the relevance of subject modules, specialisations and research for work as an engineer, as well as the implementation of the university’s application recommendations and the associated challenges of a positive transfer of knowledge between theory and practice.
Workload in Hours Independent Study Time 180, Study Time in Lecture 0
Credit points 6
Course achievement None
Examination Written elaboration
Examination duration and scale Documentation accompanying studies and across semesters: Module credit points are earned by completing a digital learning and development report (e-portfolio). This documents and reflects individual learning experiences and skills development relating to interlinking theory and practice, as well as professional practice. In addition, the partner company provides proof to the dual@TUHH Coordination Office that the dual student has completed the practical phase.
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Core Qualification: Compulsory
Civil- and Environmental Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Computer Science: Core Qualification: Compulsory
Data Science: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Compulsory
Engineering Science: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Naval Architecture: Core Qualification: Compulsory
Technomathematics: Core Qualification: Compulsory
Engineering and Management - Major in Logistics and Mobility: Core Qualification: Compulsory
Course L2883: Practical term 5 (dual study program, Bachelor's degree)
Typ
Hrs/wk 0
CP 6
Workload in Hours Independent Study Time 180, Study Time in Lecture 0
Lecturer Dr. Henning Haschke
Language DE
Cycle WiSe
Content

Company onboarding process

  • Assigning a future professional field of activity as an engineer (B.Sc.) and associated areas of work
  • Extending responsibilities and authorisations of the dual student within the company up to the intended first assignment after completing their studies or to the assignment completed during the subsequent dual Master’s course
  • Taking personal responsibility within a team - in their own area of responsibility and across departments
  • Scheduling the final practical module with a clear correlation to work structures 
  • Internal agreement on a potential topic for the Bachelor’s dissertation
  • Planning the Bachelor’s dissertation within the company in cooperation with TU Hamburg  
  • Scheduling the examination phase/sixth study semester

Operational knowledge and skills

  • Company-specific: dealing with change, team development, responsibility as an engineer in their own future field of work (B.Sc.), dealing with complex contexts and unresolved problems, developing and implementing innovative solutions
  • Specialising in one field of work (final dissertation)
  • Systemic skills
  • Implementing the university’s application recommendations (theory-practice transfer) in corresponding work and task areas across the company 

Sharing/reflecting on learning

  • E-portfolio
  • Relevance of subject modules and specialisations when working as an engineer
  • Importance of research and innovation when working as an engineer 
  • University application recommendations for transferring knowledge between theory and practice
Literature
  • Studierendenhandbuch
  • Betriebliche Dokumente
  • Hochschulseitige Anwendungsempfehlungen zum Theorie-Praxis-Transfer

Module M0829: Foundations of Management

Courses
Title Typ Hrs/wk CP
Management Tutorial (L0882) Recitation Section (small) 2 3
Introduction to Management (L0880) Lecture 3 3
Module Responsible Prof. Christoph Ihl
Admission Requirements None
Recommended Previous Knowledge Basic Knowledge of Mathematics and Business
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

After taking this module, students know the important basics of many different areas in Business and Management, from Planning and Organisation to Marketing and Innovation, and also to Investment and Controlling. In particular they are able to

  • explain the differences between Economics and Management and the sub-disciplines in Management and to name important definitions from the field of Management
  • explain the most important aspects of and goals in Management and name the most important aspects of entreprneurial projects 
  • describe and explain basic business functions as production, procurement and sourcing, supply chain management, organization and human ressource management, information management, innovation management and marketing 
  • explain the relevance of planning and decision making in Business, esp. in situations under multiple objectives and uncertainty, and explain some basic methods from mathematical Finance 
  • state basics from accounting and costing and selected controlling methods.
Skills

Students are able to analyse business units with respect to different criteria (organization, objectives, strategies etc.) and to carry out an Entrepreneurship project in a team. In particular, they are able to

  • analyse Management goals and structure them appropriately
  • analyse organisational and staff structures of companies
  • apply methods for decision making under multiple objectives, under uncertainty and under risk
  • analyse production and procurement systems and Business information systems
  • analyse and apply basic methods of marketing
  • select and apply basic methods from mathematical finance to predefined problems
  • apply basic methods from accounting, costing and controlling to predefined problems

Personal Competence
Social Competence

Students are able to

  • work successfully in a team of students
  • to apply their knowledge from the lecture to an entrepreneurship project and write a coherent report on the project
  • to communicate appropriately and
  • to cooperate respectfully with their fellow students. 
Autonomy

Students are able to

  • work in a team and to organize the team themselves
  • to write a report on their project.
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Subject theoretical and practical work
Examination duration and scale several written exams during the semester
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Core Qualification: Compulsory
Civil- and Environmental Engineering: Specialisation Civil Engineering: Elective Compulsory
Civil- and Environmental Engineering: Specialisation Water and Environment: Elective Compulsory
Civil- and Environmental Engineering: Specialisation Traffic and Mobility: Elective Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Computer Science: Core Qualification: Compulsory
Data Science: Core Qualification: Compulsory
Data Science: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Integrated Building Technology: Core Qualification: Compulsory
Logistics and Mobility: Core Qualification: Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Orientation Studies: Core Qualification: Elective Compulsory
Orientation Studies: Core Qualification: Elective Compulsory
Naval Architecture: Core Qualification: Compulsory
Technomathematics: Core Qualification: Compulsory
Process Engineering: Core Qualification: Compulsory
Engineering and Management - Major in Logistics and Mobility: Core Qualification: Compulsory
Course L0882: Management Tutorial
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Christoph Ihl, Katharina Roedelius
Language DE
Cycle WiSe/SoSe
Content

In the management tutorial, the contents of the lecture will be deepened by practical examples and the application of the discussed tools.

If there is adequate demand, a problem-oriented tutorial will be offered in parallel, which students can choose alternatively. Here, students work in groups on self-selected projects that focus on the elaboration of an innovative business idea from the point of view of an established company or a startup. Again, the business knowledge from the lecture should come to practical use. The group projects are guided by a mentor.


Literature Relevante Literatur aus der korrespondierenden Vorlesung.
Course L0880: Introduction to Management
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Christoph Ihl, Prof. Thorsten Blecker, Prof. Christian Lüthje, Prof. Christian Ringle, Prof. Kathrin Fischer, Prof. Cornelius Herstatt, Prof. Wolfgang Kersten, Prof. Matthias Meyer, Prof. Thomas Wrona
Language DE
Cycle WiSe/SoSe
Content
  • Introduction to Business and Management, Business versus Economics, relevant areas in Business and Management
  • Important definitions from Management, 
  • Developing Objectives for Business, and their relation to important Business functions
  • Business Functions: Functions of the Value Chain, e.g. Production and Procurement, Supply Chain Management, Innovation Management, Marketing and Sales
    Cross-sectional Functions, e.g. Organisation, Human Ressource Management, Supply Chain Management, Information Management
  • Definitions as information, information systems, aspects of data security and strategic information systems
  • Definition and Relevance of innovations, e.g. innovation opporunities, risks etc.
  • Relevance of marketing, B2B vs. B2C-Marketing
  • different techniques from the field of marketing (e.g. scenario technique), pricing strategies
  • important organizational structures
  • basics of human ressource management
  • Introduction to Business Planning and the steps of a planning process
  • Decision Analysis: Elements of decision problems and methods for solving decision problems
  • Selected Planning Tasks, e.g. Investment and Financial Decisions
  • Introduction to Accounting: Accounting, Balance-Sheets, Costing
  • Relevance of Controlling and selected Controlling methods
  • Important aspects of Entrepreneurship projects



Literature

Bamberg, G., Coenenberg, A.: Betriebswirtschaftliche Entscheidungslehre, 14. Aufl., München 2008

Eisenführ, F., Weber, M.: Rationales Entscheiden, 4. Aufl., Berlin et al. 2003

Heinhold, M.: Buchführung in Fallbeispielen, 10. Aufl., Stuttgart 2006.

Kruschwitz, L.: Finanzmathematik. 3. Auflage, München 2001.

Pellens, B., Fülbier, R. U., Gassen, J., Sellhorn, T.: Internationale Rechnungslegung, 7. Aufl., Stuttgart 2008.

Schweitzer, M.: Planung und Steuerung, in: Bea/Friedl/Schweitzer: Allgemeine Betriebswirtschaftslehre, Bd. 2: Führung, 9. Aufl., Stuttgart 2005.

Weber, J., Schäffer, U. : Einführung in das Controlling, 12. Auflage, Stuttgart 2008.

Weber, J./Weißenberger, B.: Einführung in das Rechnungswesen, 7. Auflage, Stuttgart 2006. 


Module M1273: Advanced Internship AIW/ ES

Courses
Title Typ Hrs/wk CP
Advanced Intenship AIW/ ES: Internship-accompanying Seminar (L2687) Seminar 1 0
Advanced Internship AIW/ ES: Preparation (L2682) Seminar 1 0
Module Responsible Prof. Robert Seifried
Admission Requirements None
Recommended Previous Knowledge 150 Creditpoints in General Engineering Science
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students of the different specialisations get experiences in typical scope of duties of engineers, who are working in a  development division, planning division or in the management of a company. In the framework of this environment the knowledge from university can used a first time for real  engineering tasks.

Skills

Students of the different specialisations should be integrated in typical day’s work. By this they are learning typical tasks and functions of engineers. They are able to structure and organize their working day and to finish tasks in a certain time.

Personal Competence
Social Competence

Students are able to cooperate with co-workers in a company and to understand the language of engineers. 

Autonomy

Students can finish own tasks.

Workload in Hours Independent Study Time 512, Study Time in Lecture 28
Credit points 18
Course achievement None
Examination Written elaboration (accord. to Internship Regulations)
Examination duration and scale see Internship Regulations
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Core Qualification: Compulsory
Engineering Science: Core Qualification: Compulsory
Course L2687: Advanced Intenship AIW/ ES: Internship-accompanying Seminar
Typ Seminar
Hrs/wk 1
CP 0
Workload in Hours Independent Study Time -14, Study Time in Lecture 14
Lecturer Prof. Robert Seifried, Eilika Schwenke
Language DE/EN
Cycle WiSe/SoSe
Content

The aim of the internship-accompanying seminar is the acquisition and consolidation of competences relevant for successfully doing the advanced internship in the 7th semester. The target group is students who already have found an internship placement. The focus is on strengthening personal competences to support the successful development of professional competences.

In the seminar, students reflect on current challenges in relation to the internship. They discuss current topics with fellow students and teachers with the method of collegial counselling (peer-to-peer approach); in this way they gain (additional) self-confidence and increase their chances of successfully contributing in the internship, recognising and expressing their own wishes and needs in order to optimally use the internship for their own theory-practice transfer.

The selection of topics is process-oriented and controlled by the group; the teachers provide impulses for reflection on certain topics. Topics that are dealt with are, for example: Negotiating the employment contract, Successful start into the internship - how do I behave in the first few days, How do I get interesting tasks, How do I deal with difficult situations (e.g. conflicts, sexism, racism), How do I note my progress/write the internship report?

Through the intensive exchange with fellow students, the students also gain insights into the internships of their peers. This gives them an impression of their professional opportunities far beyond their own internship.  The concrete application example of the advanced internship thus promotes the acquisition and consolidation of competences in career management skills that can be transferred to later career steps.


Literature
Course L2682: Advanced Internship AIW/ ES: Preparation
Typ Seminar
Hrs/wk 1
CP 0
Workload in Hours Independent Study Time -14, Study Time in Lecture 14
Lecturer Prof. Robert Seifried, Eilika Schwenke
Language DE/EN
Cycle WiSe/SoSe
Content

The aim of the internship preparation (recommended in the 5th semester) is to acquire competences that are relevant for successfully searching for and doing the advanced internship in the 7th semester. Participation increases the students' chances of finding an internship of at least three months length and, if applicable, in English language, at the specified time. It also serves as a networking opportunity for the AIW/ES students. Participation in the 5th semester is recommended for a timely internship application.

The seminar focuses on the topics of internship search, application and transfer competence. The students reflect on their already existing competences, skills and interests and learn which different employers are available for the engineering profession and how to find them. They continue to reflect on which topics of their studies they would like to try out in practical transfer in activities (theory-practice transfer) and look for suitable employers (if necessary under guidance). Contact is made with companies and other employers in the Hamburg metropolitan region who are potential employers for TUHH graduates. The students are supported in creating an appealing CV and cover letter. They practise presenting themselves in a job interview and complete a mock interview.  They receive feedback from their fellow students and the teachers, gain self-confidence and increase their chances of finding an internship that is a good fit for them. 

The seminar strengthens the students' independence. The concrete application example of the advanced internship promotes the acquisition and consolidation of competences of career management skills, which can be transferred to later career steps. It also contributes to the interaction of theory and practice. Transfer in this context is "the successful application of previously acquired knowledge or skills in the context of a new requirement not yet apparent in the situation of knowledge or skill acquisition." Hasselhorn/Gold 2017


Literature

Specialization Advanced Materials

Module M0662: Numerical Mathematics I

Courses
Title Typ Hrs/wk CP
Numerical Mathematics I (L0417) Lecture 2 3
Numerical Mathematics I (L0418) Recitation Section (small) 2 3
Module Responsible Prof. Sabine Le Borne
Admission Requirements None
Recommended Previous Knowledge
  • Mathematik I + II for Engineering Students (german or english) or Analysis & Linear Algebra I + II for Technomathematicians
  • basic MATLAB/Python knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to

  • name numerical methods for interpolation, integration, least squares problems, eigenvalue problems, nonlinear root finding problems and to explain their core ideas,
  • repeat convergence statements for the numerical methods,
  • explain aspects for the practical execution of numerical methods with respect to computational and storage complexitx.


Skills

Students are able to

  • implement, apply and compare numerical methods using MATLAB/Python,
  • justify the convergence behaviour of numerical methods with respect to the problem and solution algorithm,
  • select and execute a suitable solution approach for a given problem.
Personal Competence
Social Competence

Students are able to

  • work together in heterogeneously composed teams (i.e., teams from different study programs and background knowledge), explain theoretical foundations and support each other with practical aspects regarding the implementation of algorithms.
Autonomy

Students are capable

  • to assess whether the supporting theoretical and practical excercises are better solved individually or in a team,
  • to assess their individual progess and, if necessary, to ask questions and seek help.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Computer Science: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Materials in Engineering Sciences: Compulsory
Bioprocess Engineering: Specialisation A - General Bioprocess Engineering: Elective Compulsory
Computer Science: Specialisation II. Mathematics and Engineering Science: Elective Compulsory
Data Science: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Elective Compulsory
Engineering Science: Core Qualification: Compulsory
Engineering Science: Core Qualification: Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Mechanical Engineering: Specialisation Theoretical Mechanical Engineering: Compulsory
Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course Core Studies: Elective Compulsory
Process Engineering: Specialisation Process Engineering: Elective Compulsory
Course L0417: Numerical Mathematics I
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sabine Le Borne
Language EN
Cycle WiSe
Content
  1. Finite precision arithmetic, error analysis, conditioning and stability
  2. Linear systems of equations: LU and Cholesky factorization, condition
  3. Interpolation: polynomial, spline and trigonometric interpolation
  4. Nonlinear equations: fixed point iteration, root finding algorithms, Newton's method
  5. Linear and nonlinear least squares problems: normal equations, Gram Schmidt and Householder orthogonalization, singular value decomposition, regularizatio, Gauss-Newton and Levenberg-Marquardt methods
  6. Eigenvalue problems: power iteration, inverse iteration, QR algorithm
  7. Numerical differentiation
  8. Numerical integration: Newton-Cotes rules, error estimates, Gauss quadrature, adaptive quadrature
Literature
  • Gander/Gander/Kwok: Scientific Computing: An introduction using Maple and MATLAB, Springer (2014)
  • Stoer/Bulirsch: Numerische Mathematik 1, Springer
  • Dahmen, Reusken: Numerik für Ingenieure und Naturwissenschaftler, Springer


Course L0418: Numerical Mathematics I
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sabine Le Borne, Dr. Jens-Peter Zemke
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0933: Fundamentals of Materials Science

Courses
Title Typ Hrs/wk CP
Fundamentals of Materials Science I (L1085) Lecture 2 2
Fundamentals of Materials Science II (Advanced Ceramic Materials, Polymers and Composites) (L0506) Lecture 2 2
Physical and Chemical Basics of Materials Science (L1095) Lecture 2 2
Module Responsible Prof. Jörg Weißmüller
Admission Requirements None
Recommended Previous Knowledge

Highschool-level physics, chemistry und mathematics


Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students have acquired a fundamental knowledge on metals, ceramics and polymers and can describe this knowledge comprehensively. Fundamental knowledge here means specifically the issues of atomic structure, microstructure, phase diagrams, phase transformations, corrosion and mechanical properties. The students know about the key aspects of characterization methods for materials and can identify relevant approaches for characterizing specific properties. They are able to trace materials phenomena back to the underlying physical and chemical laws of nature.



Skills

The students are able to trace materials phenomena back to the underlying physical and chemical laws of nature. Materials phenomena here refers to mechanical properties such as strength, ductility, and stiffness, chemical properties such as corrosion resistance, and to phase transformations such as solidification, precipitation, or melting. The students can explain the relation between processing conditions and the materials microstructure, and they can account for the impact of microstructure on the material’s behavior.


Personal Competence
Social Competence -
Autonomy -
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 180 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Naval Architecture: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
Data Science: Specialisation II. Application: Elective Compulsory
Digital Mechanical Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory
Logistics and Mobility: Specialisation Engineering Science: Elective Compulsory
Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Naval Architecture: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory
Course L1085: Fundamentals of Materials Science I
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Jörg Weißmüller
Language DE
Cycle WiSe
Content
Literature

Vorlesungsskript

W.D. Callister: Materials Science and Engineering - An Introduction. 5th ed., John Wiley & Sons, Inc., New York, 2000, ISBN 0-471-32013-7

P. Haasen: Physikalische Metallkunde. Springer 1994


Course L0506: Fundamentals of Materials Science II (Advanced Ceramic Materials, Polymers and Composites)
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Bodo Fiedler, Prof. Gerold Schneider
Language DE
Cycle SoSe
Content Chemische Bindungen und Aufbau von Festkörpern; Kristallaufbau; Werkstoffprüfung; Schweißbarkeit; Herstellung von Keramiken; Aufbau und Eigenschaften der Keramik; Herstellung, Aufbau und Eigenschaften von Gläsern; Polymerwerkstoffe, Makromolekularer Aufbau; Struktur und Eigenschaften der Polymere; Polymerverarbeitung; Verbundwerkstoffe     
Literature

Vorlesungsskript

W.D. Callister: Materials Science and Engineering -An Introduction-5th ed., John Wiley & Sons, Inc., New York, 2000, ISBN 0-471-32013-7

Course L1095: Physical and Chemical Basics of Materials Science
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Gregor Vonbun-Feldbauer
Language DE
Cycle WiSe
Content
  • Motivation: „Atoms in Mechanical Engineering?“
  • Basics: Force and Energy
  • The electromagnetic Interaction
  • „Detour“: Mathematics (complex e-funktion etc.)
  • The atom: Bohr's model of the atom
  • Chemical bounds
  • The multi part problem: Solutions and strategies
  • Descriptions of using statistical thermodynamics
  • Elastic theory of atoms
  • Consequences of atomar properties on makroskopic Properties: Discussion of examples (metals, semiconductors, hybrid systems)
Literature

Für den Elektromagnetismus:

  • Bergmann-Schäfer: „Lehrbuch der Experimentalphysik“, Band 2: „Elektromagnetismus“, de Gruyter

Für die Atomphysik:

  • Haken, Wolf: „Atom- und Quantenphysik“, Springer

Für die Materialphysik und Elastizität:

  • Hornbogen, Warlimont: „Metallkunde“, Springer


Module M0934: Advanced Materials for Sustainability

Courses
Title Typ Hrs/wk CP
Advanced Materials Characterization (L1087) Lecture 2 2
Advanced Materials for Sustainability (L1091) Lecture 2 2
Advanced Materials for Sustainability (L1092) Recitation Section (large) 2 2
Module Responsible Prof. Patrick Huber
Admission Requirements None
Recommended Previous Knowledge Fundamentals of Materials Science (I and II)
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students will be able to explain the properties of advanced materials along with their applications in technology, in particular metallic, ceramic, polymeric, semiconductor, modern composite materials (biomaterials) and nanomaterials.

Skills

The students will be able to select material configurations according to the technical needs and, if necessary, to design new materials considering architectural principles from the micro- to the macroscale. The students will also gain an overview on modern materials science, which enables them to select optimum materials combinations depending on the technical applications.

Personal Competence
Social Competence

The students are able to present solutions to specialists and to develop ideas further.


Autonomy

The students are able to ...

  • assess their own strengths and weaknesses.
  • define tasks independently.


Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Materials in Engineering Sciences: Compulsory
Engineering Science: Specialisation Mechanical Engineering: Elective Compulsory
Engineering Science: Specialisation Advanced Materials: Compulsory
Mechanical Engineering: Core Qualification: Elective Compulsory
Course L1087: Advanced Materials Characterization
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Patrick Huber
Language DE
Cycle SoSe
Content
Literature

William D. Callister und David G. Rethwisch, Materialwissenschaften und Werkstofftechnik, Wiley&Sons, Asia (2011).

William D. Callister, Materials Science and Technology, Wiley& Sons, Inc. (2007).



Course L1091: Advanced Materials for Sustainability
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Patrick Huber, Prof. Stefan Fritz Müller, Prof. Patrick Huber, Prof. Gerold Schneider, Prof. Jörg Weißmüller
Language DE/EN
Cycle SoSe
Content


Literature Vorlesungsunterlagen
Course L1092: Advanced Materials for Sustainability
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Bodo Fiedler, Prof. Stefan Fritz Müller, Prof. Patrick Huber, Prof. Gerold Schneider, Prof. Jörg Weißmüller
Language DE/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1571: Computational Mechanics (EN)

Courses
Title Typ Hrs/wk CP
Computational Mechanics (EN) (L2398) Integrated Lecture 4 4
Computational Mechanics (EN) (L2399) Recitation Section (small) 2 2
Module Responsible Dr. Alexander Held
Admission Requirements None
Recommended Previous Knowledge

Mathematics I-III and Engineering Mechanics I-III

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students can

  • describe the axiomatic procedure used in mechanical contexts;
  • explain important steps in model design;
  • present technical knowledge.
Skills

The students can

  • explain the important elements of mathematical / mechanical analysis and model formation, and apply it to the context of their own problems;
  • apply basic methods from numerical mechanics to engineering problems;
  • estimate the reach and boundaries of the methods and extend them to be applicable to wider problem sets.



Personal Competence
Social Competence

The students can work in groups and support each other to overcome difficulties.

Autonomy

Students are capable of determining their own strengths and weaknesses and to organize their time and learning based on those.

Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
Engineering Science: Core Qualification: Compulsory
Course L2398: Computational Mechanics (EN)
Typ Integrated Lecture
Hrs/wk 4
CP 4
Workload in Hours Independent Study Time 64, Study Time in Lecture 56
Lecturer Dr. Alexander Held
Language EN
Cycle SoSe
Content

Part 1: Numerical Multibody Dynamics

  • Linear versus nonlinear vibration
  • Numerical methods for time integration
  • Concepts from analytical mechanics
  • Spatial multibody systems
  • Linearization of multibody systems
  • Vibrations with multiple degrees of freedom: free, damped, forced, modal  transformation
  • Impacts
  • Introduction to Matlab

Part 2: Numerical Structural Mechanics

Literature

K. Magnus, H.H. Müller-Slany: Grundlagen der Technischen Mechanik. 7. Auflage, Teubner (2009). 
D. Gross, W. Hauger, J. Schröder, W. Wall: Technische Mechanik 1-4. 11. Auflage, Springer (2011).

W. Schiehlen, P. Eberhard: Technische Dynamik, Springer (2012).
Course L2399: Computational Mechanics (EN)
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Dr. Alexander Held
Language EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1730: Mathematics IV (EN)

Courses
Title Typ Hrs/wk CP
Differential Equations 2 (Partial Differential Equations) (EN) (L2783) Lecture 2 1
Differential Equations 2 (Partial Differential Equations) (EN) (L2784) Recitation Section (large) 1 1
Differential Equations 2 (Partial Differential Equations) (EN) (L2785) Recitation Section (small) 1 1
Complex Functions (EN) (L2786) Lecture 2 1
Complex Functions (EN) (L2787) Recitation Section (large) 1 1
Complex Functions (EN) (L2788) Recitation Section (small) 1 1
Module Responsible Prof. Anusch Taraz
Admission Requirements None
Recommended Previous Knowledge

Mathematics I - III (EN or DE)

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students can name the basic concepts in Mathematics IV. They are able to explain them using appropriate examples.
  • Students can discuss logical connections between these concepts.  They are capable of illustrating these connections with the help of examples.
  • They know proof strategies and can reproduce them.
Skills
  • Students can model problems in Mathematics IV with the help of the concepts studied in this course. Moreover, they are capable of solving them by applying established methods.
  • Students are able to discover and verify further logical connections between the concepts studied in the course.
  • For a given problem, the students can develop and execute a suitable approach, and are able to critically evaluate the results.
Personal Competence
Social Competence
  • Students are able to work together in teams. They are capable to use mathematics as a common language.
  • In doing so, they can communicate new concepts according to the needs of their cooperating partners. Moreover, they can design examples to check and deepen the understanding of their peers.
Autonomy
  • Students are capable of checking their understanding of complex concepts on their own. They can specify open questions precisely and know where to get help in solving them.
  • Students have developed sufficient persistence to be able to work for longer periods in a goal-oriented manner on hard problems.
Workload in Hours Independent Study Time 68, Study Time in Lecture 112
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
Computer Science: Specialisation II. Mathematics and Engineering Science: Elective Compulsory
Data Science: Core Qualification: Elective Compulsory
Data Science: Specialisation I. Mathematics/Computer Science: Elective Compulsory
Engineering Science: Specialisation Electrical Engineering: Compulsory
Engineering Science: Core Qualification: Compulsory
Engineering Science: Core Qualification: Compulsory
Engineering Science: Specialisation Mechatronics: Elective Compulsory
Course L2783: Differential Equations 2 (Partial Differential Equations) (EN)
Typ Lecture
Hrs/wk 2
CP 1
Workload in Hours Independent Study Time 2, Study Time in Lecture 28
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language EN
Cycle SoSe
Content

Main features of the theory and numerical treatment of partial differential equations 

  • Examples of partial differential equations
  • First order quasilinear differential equations
  • Normal forms of second order differential equations
  • Harmonic functions and maximum principle
  • Maximum principle for the heat equation
  • Wave equation
  • Liouville's formula
  • Special functions
  • Difference methods
  • Finite elements
Literature

http://www.math.uni-hamburg.de/teaching/export/tuhh/index.html

Course L2784: Differential Equations 2 (Partial Differential Equations) (EN)
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L2785: Differential Equations 2 (Partial Differential Equations) (EN)
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L2786: Complex Functions (EN)
Typ Lecture
Hrs/wk 2
CP 1
Workload in Hours Independent Study Time 2, Study Time in Lecture 28
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language EN
Cycle SoSe
Content

Main features of complex analysis 

  • Functions of one complex variable
  • Complex differentiation
  • Conformal mappings
  • Complex integration
  • Cauchy's integral theorem
  • Cauchy's integral formula
  • Taylor and Laurent series expansion
  • Singularities and residuals
  • Integral transformations: Fourier and Laplace transformation
Literature

http://www.math.uni-hamburg.de/teaching/export/tuhh/index.html

Course L2787: Complex Functions (EN)
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L2788: Complex Functions (EN)
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0727: Stochastics

Courses
Title Typ Hrs/wk CP
Stochastics (L0777) Lecture 2 4
Stochastics (L0778) Recitation Section (small) 2 2
Module Responsible Prof. Matthias Schulte
Admission Requirements None
Recommended Previous Knowledge
  • Calculus
  • Discrete algebraic structures (combinatorics)
  • Propositional logic
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students can name the basic concepts in Stochastics. They are able to explain them using appropriate examples.
  • Students can discuss logical connections between these concepts.  They are capable of illustrating these connections with the help of examples.
  • They know proof strategies and can reproduce them.
Skills
  • Students can model problems from stochastics with the help of the concepts studied in this course. Moreover, they are capable of solving them by applying established methods.
  • Students are able to discover and verify further logical connections between the concepts studied in the course.
  • For a given problem, the students can develop and execute a suitable approach, and are able to critically evaluate the results.
Personal Competence
Social Competence
  • Students are able to work together (e.g. on their regular home work) in heterogeneously composed teams (i.e., teams from different study programs and background knowledge) and to present their results appropriately (e.g. during exercise class).
  • In doing so, they can communicate new concepts according to the needs of their cooperating partners. Moreover, they can design examples to check and deepen the understanding of their peers.

Autonomy
  • Students are capable of checking their understanding of complex concepts on their own. They can specify open questions precisely and know where to get help in solving them.
  • Students can put their knowledge in relation to the contents of other lectures.
  • Students have developed sufficient persistence to be able to work for longer periods in a goal-oriented manner on hard problems.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Computer Science: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Elective Compulsory
Computer Science: Core Qualification: Compulsory
Data Science: Core Qualification: Compulsory
Engineering Science: Specialisation Advanced Materials: Elective Compulsory
Engineering Science: Specialisation Electrical Engineering: Elective Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Logistics and Mobility: Specialisation Engineering Science: Elective Compulsory
Logistics and Mobility: Specialisation Information Technology: Elective Compulsory
Orientation Studies: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Core Qualification: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory
Course L0777: Stochastics
Typ Lecture
Hrs/wk 2
CP 4
Workload in Hours Independent Study Time 92, Study Time in Lecture 28
Lecturer Prof. Matthias Schulte
Language DE/EN
Cycle SoSe
Content
  • Definitions of probability, conditional probability
  • Random variables
  • Independence
  • Distributions and density functions
  • Characteristics: expectation, variance, standard deviation, moments
  • Multivariate distributions
  • Law of large numbers and central limit theorem
  • Basic notions of stochastic processes
  • Basic concepts of statistics (point estimators, confidence intervals, hypothesis testing)
Literature
  • L. Dümbgen (2003): Stochastik für Informatiker, Springer.
  • H.-O. Georgii (2012): Stochastics: Introduction to Probability and Statistics, 2nd edition, De Gruyter.
  • N. Henze (2018): Stochastik für Einsteiger, 12th edition, Springer.
  • A. Klenke (2014): Probability Theory: A Comprehensive Course, 2nd edition, Springer.
  • U. Krengel (2005): Einführung in die Wahrscheinlichkeitstheorie und Statistik, 8th edition, Vieweg.
  • A.N. Shiryaev (2012): Problems in probability, Springer.
Course L0778: Stochastics
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Matthias Schulte
Language DE/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1009: Material Science Laboratory

Courses
Title Typ Hrs/wk CP
Companion Lecture for Materials Science Laboratory (L1088) Lecture 2 2
Material Science Laboratory (L1235) Practical Course 4 4
Module Responsible Prof. Kaline Pagnan Furlan
Admission Requirements None
Recommended Previous Knowledge none
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to give a summary of the technical details of experiments in the area of materials sciences and illustrate respective relationships. They are capable of describing and communicating relevant problems and questions using appropriate technical language. They can explain the typical process of solving practical problems and present related results.

Skills

The students can transfer their fundamental knowledge on material sciences to the process of solving practical problems. They identify and overcome typical problems during the realization of experiments in the context of material sciences.

Personal Competence
Social Competence

Students are able to cooperate in small groups in order to conduct experiments in the context of materials sciences. They are able to effectively present and explain their results alone or in groups in front of a qualified audience.

Autonomy Students are capable of solving problems in the context of materials sciences  using provided literature. They are able to fill gaps in as well as extent their knowledge using the literature and other sources provided by the supervisor.
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Subject theoretical and practical work
Examination duration and scale Test reports on the respective tests and online learning modules with integrated success control
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Materials in Engineering Sciences: Compulsory
Engineering Science: Specialisation Advanced Materials: Compulsory
Mechanical Engineering: Specialisation Product Development and Production: Compulsory
Mechanical Engineering: Specialisation Materials in Engineering Sciences: Compulsory
Product Development, Materials and Production: Technical Complementary Course Core Studies: Elective Compulsory
Course L1088: Companion Lecture for Materials Science Laboratory
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Kaline Pagnan Furlan
Language DE/EN
Cycle WiSe
Content

- Introduction to the Materials Science Laboratory practical course and learning modules;
- Collection of data: source of errors and sample distribution;
- Error calculation;
- Report writing and presentation of results;
- Graph plotting using software(s).



Literature

1) W.D. Callister, Materials science and engineering: an introduction, Wiley 2000  https://katalog.tub.tuhh.de/Record/270018409 or https://katalog.tub.tuhh.de/Record/1696922097 (online link at ‘Exemplare’)

2) John R. Taylor, Fehleranalyse: eine Einführung in die Untersuchung von Unsicherheiten in physikalischen Messungen, 1. Aufl., VCH Verlag, 1988  https://katalog.tub.tuhh.de/Record/027422038     // An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements, 2d Edition, University Science Books, 1997 https://katalog.tub.tuhh.de/Record/024511676


Course L1235: Material Science Laboratory
Typ Practical Course
Hrs/wk 4
CP 4
Workload in Hours Independent Study Time 64, Study Time in Lecture 56
Lecturer Prof. Kaline Pagnan Furlan, Prof. Stefan Fritz Müller, Prof. Patrick Huber, Prof. Bodo Fiedler, Prof. Gerold Schneider, Prof. Jörg Weißmüller
Language DE/EN
Cycle WiSe
Content

5 laboratory experiments:

- Metals: Tensile test

- Plastics: Scanning electron microscopy on fracture surfaces of fiber reinforced plastics

- Plastics: Bending test - bending properties of carbon fiber reinforced plastics

- Ceramics: Ceramic synthesis - From raw material up to sintered product

- Ceramics: Mechanical testing - hardness and fracture toughness of ceramic materials

Literature

1) Vorlesungsunterlagen Grundlagen der Werkstoffwissenschaft I & II

2) W.D. Callister, Materials science and engineering: an introduction, Wiley 2000  https://katalog.tub.tuhh.de/Record/270018409 or https://katalog.tub.tuhh.de/Record/1696922097 (online link at ‘Exemplare’)


Module M1808: Quantum Mechanics for Materials Science

Courses
Title Typ Hrs/wk CP
Atomic-Scale Fundamentals of Materials Science (L2989) Lecture 2 3
Atomic-Scale Fundamentals of Materials Science (L2990) Recitation Section (large) 2 3
Module Responsible Prof. Jörg Weißmüller
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
Skills
Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination
Examination duration and scale
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
Engineering Science: Specialisation Advanced Materials: Compulsory
Engineering Science: Specialisation Advanced Materials: Elective Compulsory
Course L2989: Atomic-Scale Fundamentals of Materials Science
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer NN
Language EN
Cycle WiSe/SoSe
Content
Literature
Course L2990: Atomic-Scale Fundamentals of Materials Science
Typ Recitation Section (large)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer NN
Language EN
Cycle WiSe/SoSe
Content
Literature

Module M1579: Fluid Mechanics (EN)

Courses
Title Typ Hrs/wk CP
Fluid Mechanics (EN) (L2383) Lecture 3 4
Fluid Mechanics (EN) (L2384) Recitation Section (large) 2 2
Module Responsible Prof. Thomas Rung
Admission Requirements None
Recommended Previous Knowledge

Sound knowledge of engineering mathematics, engineering mechanics and thermodynamics.

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students will have the required sound knowledge to explain the general principles of fluid engineering and physics of fluids. Students can scientifically outline the rationale of flow physics using mathematical models and are familiar with methods for the performance analysis and the prediciton of fluid engineering devices.

Skills

Students are able to apply fluid-engineering principles and flow-physics models for the analysis of technical systems. The lecture enables the student to carry out all necessary theoretical calculations for the fluid dynamic design of engineering devices on a scientific level.

Personal Competence
Social Competence

The students are able to discuss problems and jointly develop solution strategies.


Autonomy

The students are able to develop solution strategies for complex problems self-consistent and crtically analyse results.


Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 180 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
Engineering Science: Core Qualification: Compulsory
Course L2383: Fluid Mechanics (EN)
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer NN
Language EN
Cycle WiSe
Content
  • continuum physics definition of fluids, difference to solids/structures and material properties of fluids
  • dimensional analysis and similitude
  • fluid forces and fluid statics
  • transport and conservation of mass, momentum & energy 
  • fluid kinematics
  • technically relevant flow models for incompressible fluids
    • control volume & stream tube analysis
    • vortical flow models
    • potential flows
    • boundary layer flows
    • different types of conservation equations and their realm
      (Navier-Stokes/Euler/Bernoulli equations)
    • analytical solutions for Navier-Stokes systems
  • Analysis of internal flows (channels, pipes, open channels) and external flows, fundamentals of wing aerodynamics
  • turbulent flows
  • fundamentals of gas dynamics (1D compressible flows)


Literature





Course L2384: Fluid Mechanics (EN)
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer NN
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0956: Measurement Technology for Mechanical Engineers

Courses
Title Typ Hrs/wk CP
Practical Course: Measurement and Control Systems (L1119) Practical Course 2 2
Measurement Technology for Mechanical Engineering (L1116) Lecture 2 3
Measurement Technology for Mechanical Engineering (L1118) Recitation Section (large) 1 1
Module Responsible Prof. Thorsten Kern
Admission Requirements None
Recommended Previous Knowledge

Basic knowledge of physics, chemistry and electrical engineering

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to name the most important fundmentals of the Measurement Technology (Quantities and Units, Uncertainty, Calibration,  Static and Dynamic Properties of Sensors and Systems).

They can outline the most important measuring methods for different kinds of quantities to be maesured (Electrical Quantities, Temperature, mechanical quantities,  Flow, Time, Frequency).

They can describe important methods of chemical Analysis (Gas Sensors, Spectroscopy, Gas Chromatography)


Skills

Students can select suitable measuring methods to given problems and can use refering measurement devices in practice.

The students are able to orally explain issues in the subject area of measurement technology and solution approaches as well as place the issues into the right context and application area.

Personal Competence
Social Competence

Students can arrive at work results in groups and document them in a common report.


Autonomy

Students are able to familiarize themselves with new measurement technologies.

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes None Subject theoretical and practical work
Examination Subject theoretical and practical work
Examination duration and scale 105 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Elective Compulsory
Digital Mechanical Engineering: Core Qualification: Compulsory
Energy and Environmental Engineering: Core Qualification: Compulsory
Engineering Science: Specialisation Mechatronics: Compulsory
Engineering Science: Specialisation Mechanical Engineering: Compulsory
Engineering Science: Specialisation Biomedical Engineering: Elective Compulsory
Engineering Science: Specialisation Advanced Materials: Elective Compulsory
General Engineering Science (English program, 7 semester): Specialisation Mechatronics: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Elective Compulsory
Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory
Course L1119: Practical Course: Measurement and Control Systems
Typ Practical Course
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Thorsten Kern
Language DE
Cycle WiSe/SoSe
Content

Experiment 1: Emission and immission measurement of gaseous pollutants: different technologies to determine different gaseous pollutants in automotive exhaust are used.

Experiment 2: Simulation and measurement of asynchrone engine and rotary pump: the dynamic behaviour of e pump engine will be investigated. The starting will be simulated on a PC and compared with measurement.

Experiment 3: Michelson interferometer and fiber optic: fundamental optical phenonema will be understood and applications with Michelson interferometer and optical fibers demonstrated.

Experiment 4:Identification of the parameters of a control system and optimal control parameters

Literature

Versuch 1:

  • Leith, W.: Die Analyse der Luft und ihrer Verunreinigung in der freien Atmosphäre und am Arbeitsplatz. 2. Aufl., Wissenschaftliche Verlagsgesellschaft, Stuttgart, 1974
  • Birkle, M.: Meßtechnik für den Immissionsschutz, Messen der gas- und partikelförmigen Luftverunreinigungen. R. Oldenburg Verlag, München-Wien, 1979
  • Luftbericht 83/84, Freie und Hansestadt Hamburg, Behörde für Bezirksangelegenheiten, Naturschutz und Umweltgestaltung
  • Gebrauchs- und Bedienungsanweisungen
  • VDI-Handbuch Reinhaltung der Luft, Band 5: VDI-Richtlinien 2450 Bl.1, 2451 Bl.4, 2453 Bl.5, 2455 Bl.1
Versuch 2:
  • Grundlagen über elektrische Maschinen, speziell: Asynchronmotoren
  • Simulationsmethoden, speziell: Verwendung von Blockschaltbildern
  • Betriebsverhalten von Kreispumpen, speziell: Kennlinien, Ähnlichkeitsgesetze
Versuch 3:
  • Unger, H.-G.: Optische Nachrichtentechnik, Teil 1: Optische Wellenleiter. Hüthing Verlag, Heidelberg, 1984
  • Dakin, J., Cushaw, B.: Optical Fibre Sensors: Principles and Components. Artech House Boston, 1988
  • Culshaw, B., Dakin, J.: Optical Fibre Sensors: Systems and Application. Artech House Boston, 1989
Versuch 4: 
  • Leonhard: Einführung in die Regelungstechnik. Vieweg Verlag, Braunschweig-Wiesbaden
  • Jan Lunze: Systemtheoretische Grundlagen, Analyse und Entwurf einschleifiger Regelungen



Course L1116: Measurement Technology for Mechanical Engineering
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Thorsten Kern, Dennis Kähler
Language EN
Cycle WiSe
Content

1 Fundamentals

1.1 Quantities and Units

1.2 Uncertainty

1.3 Calibration

1.4 Static and Dynamic Properties of Sensors and Systems

2 Measurement of Electrical Quantities

2.1 Current and Voltage

2.2 Impedance

2.3 Amplification

2.4 Oscilloscope

2.5 Analog-to-Digital Conversion

2.6 Data Transmission

3 Measurement of Nonelectric Quantities

3.1 Temperature

3.2 Length, Displacement, Angle

3.3 Strain, Force, Pressure

3.4 Flow

3.5 Time, Frequency

Literature

Lerch, R.: „Elektrische Messtechnik; Analoge, digitale und computergestützte Verfahren“, Springer, 2006, ISBN: 978-3-540-34055-3.

 Profos, P. Pfeifer, T.: „Handbuch der industriellen Messtechnik“, Oldenbourg, 2002, ISBN: 978-3486217940.

Course L1118: Measurement Technology for Mechanical Engineering
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Thorsten Kern
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1592: Statistics

Courses
Title Typ Hrs/wk CP
Statistics (L2430) Lecture 3 4
Statistics (L2431) Recitation Section (small) 1 2
Module Responsible Prof. Matthias Schulte
Admission Requirements None
Recommended Previous Knowledge Stochastics (or a comparable class)
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students can name the basic concepts in Statistics. They are able to explain them using appropriate examples.
  • Students can discuss logical connections between these concepts.  They are capable of illustrating these connections with the help of examples.
Skills
  • Students can model statistical problems with the help of the concepts studied in this course. Moreover, they are capable of solving them by applying established methods. They are able to use the statistical software R.
  • Students are able to discover and verify further logical connections between the concepts studied in the course.
  • For a given problem, the students can develop and execute a suitable approach, and are able to critically evaluate the results.
Personal Competence
Social Competence
  • Students are able to work together (e.g. on their regular home work) in heterogeneously composed teams and to present their results appropriately (e.g. during exercise class).
  • In doing so, they can communicate new concepts according to the needs of their cooperating partners. Moreover, they can design examples to check and deepen the understanding of their peers. 
Autonomy
  • Students are capable of checking their understanding of complex concepts on their own. They can specify open questions precisely and know where to get help in solving them.
  • Students can put their knowledge in relation to the contents of other lectures.
  • Students have developed sufficient persistence to be able to work for longer periods in a goal-oriented manner on hard problems.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Computer Science: Elective Compulsory
Computer Science: Specialisation II. Mathematics and Engineering Science: Elective Compulsory
Data Science: Core Qualification: Compulsory
Engineering Science: Specialisation Advanced Materials: Elective Compulsory
Logistics and Mobility: Specialisation Information Technology: Elective Compulsory
Technomathematics: Specialisation I. Mathematics: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory
Course L2430: Statistics
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Matthias Schulte
Language DE/EN
Cycle WiSe
Content
  • Multivariate distributions and stochastic convergence
  • Point estimators
  • Confidence intervals
  • Hypothesis testing
  • Nonparametric statistics
  • Linear Regression
  • Time series analysis
  • Statistical software (R)
Literature
  • L. Dümbgen (2016): Einführung in die Statistik, Birkhäuser.
  • L. Dümbgen (2003): Stochastik für Informatiker, Springer.
  • H.-O. Georgii (2012): Stochastics: Introduction to Probability and Statistics, 2nd edition, De Gruyter.
  • N. Henze (2018): Stochastik für Einsteiger, 12th edition, Springer.
  • A. Klenke (2014): Probability Theory: A Comprehensive Course, 2nd edition, Springer.
  • U. Krengel (2005): Einführung in die Wahrscheinlichkeitstheorie und Statistik, 8th edition, Vieweg.
Course L2431: Statistics
Typ Recitation Section (small)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Matthias Schulte
Language DE/EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1807: Machine Learning for Physical Systems

Courses
Title Typ Hrs/wk CP
Machine Learning for Physical Systems (L2987) Lecture 2 3
Machine Learning for Physical Systems (L2988) Project-/problem-based Learning 2 3
Module Responsible Prof. Christian Cyron
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
Skills
Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination
Examination duration and scale
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
Engineering Science: Specialisation Advanced Materials: Compulsory
Engineering Science: Specialisation Advanced Materials: Elective Compulsory
Course L2987: Machine Learning for Physical Systems
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer NN
Language EN
Cycle WiSe/SoSe
Content
Literature
Course L2988: Machine Learning for Physical Systems
Typ Project-/problem-based Learning
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer NN
Language EN
Cycle WiSe/SoSe
Content
Literature

Module M0865: Fundamentals of Production and Quality Management

Courses
Title Typ Hrs/wk CP
Production Process Organization (L0925) Lecture 2 3
Quality Management (L0926) Lecture 2 3
Module Responsible Prof. Hermann Lödding
Admission Requirements None
Recommended Previous Knowledge None
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge Students are able to explain the contents of the lecture of the module.
Skills Students are able to apply the methods and models in the module to industrial problems.
Personal Competence
Social Competence -
Autonomy -
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 180 Minuten
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Elective Compulsory
Engineering Science: Core Qualification: Compulsory
Engineering Science: Specialisation Mechatronics: Elective Compulsory
Engineering Science: Specialisation Mechanical Engineering: Elective Compulsory
Engineering Science: Specialisation Advanced Materials: Elective Compulsory
Logistics and Mobility: Specialisation Production Management and Processes: Compulsory
Logistics and Mobility: Specialisation Engineering Science: Elective Compulsory
Mechanical Engineering: Core Qualification: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Compulsory
Course L0925: Production Process Organization
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Hermann Lödding
Language EN
Cycle SoSe
Content

(A)        Introduction

(B)        Product planning

(C)        Process planning

(D)        Procurement

(E)         Manufacturing

(F)         Production planning and control (PPC)

(G)        Distribution

(H)        Cooperation

Literature

Wiendahl, H.-P.: Betriebsorganisation für Ingenieure

Vorlesungsskript

Course L0926: Quality Management
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Hermann Lödding
Language EN
Cycle SoSe
Content
  • Definition and Relevance of Quality
  • Continuous Quality Improvement
  • Quality Management in Product Development
  • Quality Management in Production Processes
  • Design of Experiments
Literature
  • Pfeifer, Tilo: Quality Management. Strategies, Methods, Techniques; Hanser-Verlag, München 2002
  • Pfeifer, Tilo: Qualitätsmanagement. Strategien, Methoden, Techniken; Hanser-Verlag, München, 3. Aufl. 2001
  • Mitra, Amitava: Fundamentals of Quality Control and Improvement; Wiley; Macmillan, 2008
  • Kleppmann, W.: Taschenbuch Versuchsplanung. Produkte und Prozesse optimieren; Hanser-Verlag, München, 6. Aufl. 2009

Module M1573: Modeling, Simulation and Optimization (EN)

Courses
Title Typ Hrs/wk CP
Modeling, Simulation and Optimization (EN) (L2446) Integrated Lecture 4 6
Module Responsible Prof. Benedikt Kriegesmann
Admission Requirements None
Recommended Previous Knowledge

Sound knowledge of engineering mathematics, engineering mechanics and fluid mechanics

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students will have an overview of various technical problems and the differential equations, which describe them. Students will gave an overview of different solution approaches and for which kind of problems they can be used for.

Skills

Students are able to solve different technical problems with the introduced discretization methods.

Personal Competence
Social Competence

The students are able to discuss problems and jointly develop solution strategies.

Autonomy

The students are able to develop solution strategies for complex problems self-consistent and critically analyse results.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Elective Compulsory
Engineering Science: Core Qualification: Compulsory
Mechanical Engineering: Specialisation Theoretical Mechanical Engineering: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L2446: Modeling, Simulation and Optimization (EN)
Typ Integrated Lecture
Hrs/wk 4
CP 6
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Lecturer Prof. Benedikt Kriegesmann, Prof. Thomas Rung, Prof. Alexander Düster, Prof. Robert Seifried
Language EN
Cycle SoSe
Content
  • Partial Differential Equations in technical problems
  • Overview of modelling approaches
  • Finite Approximation Methods - Finite Differences / Elements / Volumes
  • Introduction to the Discrete Element Method
  • Numerical methods for time dependent problems
  • Gradient-based optimization
Literature

Michael Schäfer, Computational Engineering - Introduction to Numerical Methods, Springer.

Module M1501: Electromagnetics for Engineers I: Time-Independent Fields

Courses
Title Typ Hrs/wk CP
Electromagnetics for Engineers I: Time-Independent Fields (L2281) Lecture 3 5
Electromagnetics for Engineers I: Time-Independent Fields (L2282) Recitation Section (small) 2 1
Module Responsible Dr. Cheng Yang
Admission Requirements None
Recommended Previous Knowledge

Basic principles of electrical engineering and advanced mathematics

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can explain the fundamental formulas, relations, and methods of the theory of time-independent electromagnetic fields. They can explicate the principal behavior of electrostatic, magnetostatic, and current density fields with regard to respective sources. They can describe the properties of complex electromagnetic fields by means of superposition of solutions for simple fields. The students are aware of applications for the theory of time-independent electromagnetic fields and are able to explicate these.

Skills

Students can apply Maxwell’s Equations in integral notation in order to solve highly symmetrical, time-independent, electromagnetic field problems. Furthermore, they are capable of applying a variety of methods that require solving Maxwell’s Equations for more general problems. The students can assess the principal effects of given time-independent sources of fields and analyze these quantitatively. They can deduce meaningful quantities for the characterization of electrostatic, magnetostatic, and electrical flow fields (capacitances, inductances, resistances, etc.) from given fields and dimension them for practical applications.

Personal Competence
Social Competence

Students are able to work together on subject related tasks in small groups. They are able to present their results effectively (e.g. during exercise sessions).

Autonomy

Students are capable to gather necessary information from provided references and relate this information to the lecture. They are able to continually reflect their knowledge by means of activities that accompany the lecture, such as short oral quizzes during the lectures and exercises that are related to the exam. Based on respective feedback, students are expected to adjust their individual learning process. They are able to draw connections between their knowledge obtained in this lecture and the content of other lectures (e.g. Electrical Engineering I, Linear Algebra, and Analysis).

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Elective Compulsory
Engineering Science: Core Qualification: Compulsory
Course L2281: Electromagnetics for Engineers I: Time-Independent Fields
Typ Lecture
Hrs/wk 3
CP 5
Workload in Hours Independent Study Time 108, Study Time in Lecture 42
Lecturer Dr. Cheng Yang, Prof. Christian Schuster
Language EN
Cycle SoSe
Content

- Maxwell’s Equations in integral and differential notation

- Boundary conditions

- Laws of conservation for energy and charge

- Classification of electromagnetic field properties

- Integral characteristics of time-independent fields (R, L, C)

- Generic approaches to solving Poisson’s Equation

- Electrostatic fields and specific methods of solving

- Magnetostatic fields and specific methods of solving

- Fields of electrical current density and specific methods of solving

- Action of force within time-independent fields

- Numerical methods for solving time-independent problems

The practical application of numerical methods will be trained within specifically prepared lectures in an interactive manner using small MATLAB programs.

Literature

- G. Lehner, "Elektromagnetische Feldtheorie: Für Ingenieure und Physiker", Springer (2010)

- H. Henke, "Elektromagnetische Felder: Theorie und Anwendung", Springer (2011)

- W. Nolting, "Grundkurs Theoretische Physik 3: Elektrodynamik", Springer (2011)

- D. Griffiths, "Introduction to Electrodynamics", Pearson (2012)

- J. Edminister, " Schaum's Outline of Electromagnetics", Mcgraw-Hill (2013)

- Richard Feynman, "Feynman Lectures on Physics: Volume 2", Basic Books (2011)

Course L2282: Electromagnetics for Engineers I: Time-Independent Fields
Typ Recitation Section (small)
Hrs/wk 2
CP 1
Workload in Hours Independent Study Time 2, Study Time in Lecture 28
Lecturer Dr. Cheng Yang, Prof. Christian Schuster
Language EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1746: Materials Engineering: Materials Selection, Processing and Modelling

Courses
Title Typ Hrs/wk CP
Materials and Process Modeling (L2862) Lecture 3 3
Materials Selection and Processing (L2861) Lecture 3 3
Module Responsible Prof. Norbert Huber
Admission Requirements None
Recommended Previous Knowledge Fundamentals of mathematics (differential equations, integration), materials science (classes of materials, structure, properties, tensile test) and engineering mechanics (stress, strain, elasticity, deformation).
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The module deals with the production and properties of engineering materials. Particular attention is paid to material selection, material processing, the associated microstructure and the achievable mechanical properties. In conjunction with the costs, these are decisive for the applicability and economic efficiency. Metallic materials are in the foreground. Ceramics and polymers are also covered in the sense of a broad range of available materials.

In parallel to the material-technological consideration, the modeling of material behavior by means of phenomenological material laws for plasticity under monotonic and cyclic loading is worked out. In addition to the evaluation of component behavior, plasticity also plays a major role in manufacturing processes and thus provides the basis for process simulation. Process models and simulation methods for selected manufacturing processes, such as rolling or forming, are presented for this topic area.

Skills

Students are able to

  • analyze the material behavior of metallic materials for general load histories with respect to elasticity and plasticity as well as the associated velocity-dependent material behavior and describe it with corresponding material laws
  • to relate the deformation behavior to the underlying microstructural mechanisms
  • to assess how processing procedures affect the chain microstructure - process - properties
  • understand how the mechanical properties of metallic materials can be tailored by the processing due to microstructural design
Personal Competence
Social Competence

Students are able to

  • actively enrich and shape the course by contributing to the discussion.
  • develop solutions to given problems and explain them in English in the plenum and discuss them with their fellow students.
Autonomy

Students are able to,

  • assess their own strengths and weaknesses
  • concretely assess their respective learning status and define further work steps on this basis
  • abstract given tasks and then apply them to new problems by transferring the taught material.
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes 20 % Excercises Wir stellen Übungsaufgaben (ÜA), die während des Semesters erbracht und in den wöchentlichen Übungen vorgestellt werden. Diese können im Umfang von bis zu 20% bei der Prüfung berücksichtigt werden.
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Materials in Engineering Sciences: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
Engineering Science: Specialisation Mechanical Engineering: Elective Compulsory
Engineering Science: Specialisation Advanced Materials: Compulsory
Engineering Science: Specialisation Advanced Materials: Compulsory
Mechanical Engineering: Specialisation Materials in Engineering Sciences: Compulsory
Course L2862: Materials and Process Modeling
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Norbert Huber
Language EN
Cycle SoSe
Content
  1. Relevance of plasticity in materials processing and operation
  2. Fundamentals of plasticity in metals and alloys
  3. Modellierung von Materialverhalten
  4. Plasticity in cyclic loading
  5. Rate dependency, recristallization
  6. Rolling, forming, and solid state joining processes
  7. Residual stress design
Literature
  • Hull and Bacon: Introduction to Dislocations (1984)
  • G. Gottstein: Physik. Grundlagen der Materialk. (2001)
  • P. Haupt: Cont. Mechanics and Theory of Materials (2002)
  • N. Huber: Vorlesungsskript „Grundlagen der mechanischen Eigenschaften von Werkstoffen“, TUHH
Course L2861: Materials Selection and Processing
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Kaline Pagnan Furlan
Language EN
Cycle SoSe
Content
  1. Introduction
  2. Overview of fabrication processes
  3. Shape considerations: macrostructural aspects
  4. Material properties: microstructural aspects
  5. Materials engineering: microstructure, shape and processing relation
  6. Materials engineering: function and costs relation
Literature
  • M.F. Ashby,Materials Selection in Mechanical Design, 4thedition,Butterworth-Heinemann(2011)
  • W.F. Gale and T.C. Totemeier, Smithells Metals Reference Book, 8thedition, Butterworth-Heinemann(2004)
  • J. Beddoes and M. Bibby, Principles of Metal Manufacturing Processes,  Butterworth-Heinemann(1999)

Specialization Civil Engineering

In the specialization “civil engineering” the graduates attain the basic competences to plan, build and repair structures like bridges and tunnels, structures in hydraulic engineering, as well as industrial and housing construction. The specialization allows the transition to the master program civil engineering.

Module M0580: Principles of Building Materials and Building Physics

Courses
Title Typ Hrs/wk CP
Building Physics (L0217) Lecture 2 2
Building Physics (L0219) Recitation Section (large) 1 1
Building Physics (L0247) Recitation Section (small) 1 1
Principles of Building Materials (L0215) Lecture 2 2
Module Responsible Prof. Frank Schmidt-Döhl
Admission Requirements None
Recommended Previous Knowledge Knowledge of physics, chemistry and mathematics from school
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students are able to identify fundamental effects of action to materials and structures, to explain different types of mechanical behaviour, to describe the structure of building materials and the correlations between structure and other properties, to show methods of joining and of corrosion processes and to describe the most important regularities and properties of building materials and structures and their measurement in the field of protection against moisture, coldness, fire and noise.

Skills

The students are able to work with the most important standardized methods and regularities in the field of moisture protection, the German regulation for energy saving, fire protection and noise protection in the case of a small building.

Personal Competence
Social Competence

The students are able to support each other to learn the very extensive specialist knowledge.

Autonomy

The students are able to make the timing and the operation steps to learn the specialist knowledge of a very extensive field.


Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 2 h written exam
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Civil Engineering: Compulsory
Civil- and Environmental Engineering: Core Qualification: Compulsory
Integrated Building Technology: Core Qualification: Compulsory
Orientation Studies: Core Qualification: Elective Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0217: Building Physics
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Frank Schmidt-Döhl
Language DE
Cycle WiSe
Content Heat transport, thermal bridges, balances of energy consumption, German regulation for energy saving, heat protection in summer, moisture transport, condensation moisture, protection against mold, fire protection,
noise protection
Literature Fischer, H.-M. ; Freymuth, H.; Häupl, P.; Homann, M.; Jenisch, R.; Richter, E.; Stohrer, M.: Lehrbuch der Bauphysik. Vieweg und Teubner Verlag, Wiesbaden, ISBN 978-3-519-55014-3
Course L0219: Building Physics
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Frank Schmidt-Döhl
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L0247: Building Physics
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Frank Schmidt-Döhl
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L0215: Principles of Building Materials
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Frank Schmidt-Döhl
Language DE
Cycle WiSe
Content

Structure of building materials
Effects of action
Fundamentals of mechanical behaviour

Material testing

Principles of metals

Joining methods

Literature

Wendehorst, R.: Baustoffkunde. ISBN 3-8351-0132-3

Scholz, W.:Baustoffkenntnis. ISBN 3-8041-4197-8


Module M0740: Structural Analysis I

Courses
Title Typ Hrs/wk CP
Structural Analysis I (L0666) Lecture 2 3
Structural Analysis I (L0667) Recitation Section (large) 2 3
Module Responsible Prof. Bastian Oesterle
Admission Requirements None
Recommended Previous Knowledge Mechanics I, Mathematics I
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

After successfully completing this module, students can express the basic aspects of linear frame analysis of statically determinate systems.

Skills

After successful completion of this module, the students are able to distinguish between statically determinate and indeterminate structures. They are able to analyze state variables and to construct influence lines of statically determinate plane and spatial frame and truss structures.


Personal Competence
Social Competence

Students can

  • participate in subject-specific and interdisciplinary discussions,
  • defend their own work results in front of others
  • promote the scientific development of colleagues
  • Furthermore, they can give and accept professional constructive criticism
Autonomy

The students are able work in-term homework assignments. Due to the in-term feedback, they are enabled to self-assess their learning progress during the lecture period, already.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 10 % Written elaboration Hausübungen mit Testat, betreut durch Studentische Tutoren (Tutorium)
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Civil Engineering: Compulsory
Civil- and Environmental Engineering: Core Qualification: Compulsory
Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory
Course L0666: Structural Analysis I
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Bastian Oesterle
Language DE
Cycle WiSe
Content

Statically determinate structural systems

  • modelling of structures
  • theory of plane and spacial structures
  • assessment of structural behaviour, degree of static indeterminacy and kinematics
  • analysis of forces and moments, as well as diplscements and rotations
  • principle of virtual work
  • influence lines


Literature
  • Vorlesungsmanuskript
  • Bletzinger et al.: Aufgabensammlung zur Baustatik: Übungsaufgaben zur Berechnung ebener Stabtragwerke. Hanser.
  • Dinkler: Grundlagen der Baustatik. Springer.
  • Marti: Baustatik. Ernst und Sohn.


Course L0667: Structural Analysis I
Typ Recitation Section (large)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Bastian Oesterle
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0590: Building Materials and Building Chemistry

Courses
Title Typ Hrs/wk CP
Building Materials and Building Chemistry (L0248) Lecture 4 4
Building Materials and Building Chemistry (L0249) Recitation Section (small) 1 2
Module Responsible Prof. Frank Schmidt-Döhl
Admission Requirements None
Recommended Previous Knowledge Module Principles of Building Materials and Building Physics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students are able to explain the most important components, the manufacture, the structure, the most important characteristics of the mechanical behaviour and the corrosion behaviour, the material testing and the fields of utilization of all relevant building materials.

 

Skills

The students are able to assess the usability of building materials for different applications and to select building materials according to their specific advantages and disadvantages. The students are able to prepare the mixture of a normal type concrete and to consider the mixture in respect to the actual rules and the connections between the characteristic concrete parameters. They are able to select suitable materials and mixtures to avoid damage processes.

Personal Competence
Social Competence

The students are able to support each other to learn the very extensive specialist knowledge in learning groups and to carry out exercises in small groups in the lab.


Autonomy

The students are able to make the timing and the operation steps to learn the specialist knowledge of a very extensive field.

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 10 % Presentation
Examination Written exam
Examination duration and scale 2 h written exam
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Civil Engineering: Compulsory
Civil- and Environmental Engineering: Core Qualification: Compulsory
Integrated Building Technology: Core Qualification: Compulsory
Orientation Studies: Core Qualification: Elective Compulsory
Course L0248: Building Materials and Building Chemistry
Typ Lecture
Hrs/wk 4
CP 4
Workload in Hours Independent Study Time 64, Study Time in Lecture 56
Lecturer Prof. Frank Schmidt-Döhl
Language DE
Cycle SoSe
Content Cementing materials, aggregates, admixtures and other components in mortar and concrete, concrete, durability of cement bonded materials, repair of concrete structures, steel, cast iron, non-ferrous metals,
metal corrosion, timber, plastics, natural stone, synthetic stones, mortar, masonry, glass, bitumen
Literature

Wendehorst, R.: Baustoffkunde. ISBN 3-8351-0132-3

Scholz, W.:Baustoffkenntnis. ISBN 3-8041-4197-8

Henning, O.; Knöfel, D.: Baustoffchemie. ISBN 3-345-00799-1

Knoblauch, H.; Schneider, U.: Bauchemie. ISBN 3-8041-5174-4


Course L0249: Building Materials and Building Chemistry
Typ Recitation Section (small)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Frank Schmidt-Döhl, Andre Rössler
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0613: Reinforced Concrete Structures I

Courses
Title Typ Hrs/wk CP
Project Seminar Concrete I (L0896) Seminar 1 1
Reinforced Concrete Design I (L0303) Lecture 2 3
Reinforced Concrete Design I (L0305) Recitation Section (large) 2 2
Module Responsible Prof. Günter Rombach
Admission Requirements None
Recommended Previous Knowledge

Basic knowledge in structural analysis and building materials.

Modules:  Structural Analysis I, Mechanics I+II

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students can outline the history of concrete construction and explain the basics of structural engineering, including usual load combinations and safety concepts. They are able to draft and dimension simple structures, as well as to evaluate and discuss the behaviour of the materials and of structural members.


Skills

The students are able to apply basic procedures of the conception and dimensioning to practical cases. They are capable to draft simple concrete structures and to design them for bending and bending with axial force, and to plan their detailing and execution. Moreover, they can make design and construction sketches and draw up technical descriptions.


Personal Competence
Social Competence
Autonomy

The students are able to carry out simple tasks in the conception and dimensioning of structures and to critically reflect the results.

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
No None Excercises
Examination Written exam
Examination duration and scale 120 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Civil Engineering: Compulsory
Civil- and Environmental Engineering: Core Qualification: Compulsory
Course L0896: Project Seminar Concrete I
Typ Seminar
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Günter Rombach
Language DE
Cycle SoSe
Content In the course of the project seminar, a simple structure is drafted and dimensioned.
Literature

Download der Unterlagen zur Vorlesung über Stud.IP!

Course L0303: Reinforced Concrete Design I
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Günter Rombach
Language DE
Cycle SoSe
Content

The following subjects/contents are treated:

  • history of concrete construction
  • building materials: mechanical and physical-chemical properties of concrete, steel, GFRP, CFRP
  • Introduction in safety concepts, ultimate limit states and safety coefficients
  • actions on structures
  • design of linear concrete members with arbitrary cross section for tension and bending with/without axial force
  • design of slender columns
Literature

Download der Unterlagen zur Vorlesung über Stud.IP!

  • Zilch K., Zehetmaier G.: Bemessung im konstruktiven Betonbau. Springer Verlag, 2010
  • König G., Tue N.: Grundlagen des Stahlbetonbaus, 3. Auflage, Teubner-Verlag, 2008
  • Deutscher Beton- und Bautechnikverein E.V.: Beispiele zur Bemessung von Betontragwerken nach Eurocode 2. Band 1: Hochbau, Bauverlag GmbH, Wiesbaden 2011
  • Fingerlos F., Hegger J., Zilch K.: Eurocode 2 für Deutschland. Berlin 2016
  • Dahms K.-H.: Rohbauzeichnungen, Bewehrungszeichnungen. Bauverlag, Wiesbaden 1997
  • Grasser E., Thielen G.: Hilfsmittel zur Berechnung der Schnittgrößen und Formänderungen von Stahlbetontragwerken. Deutscher Ausschuss für Stahlbeton, Heft 240, Verlag Ernst & Sohn, Berlin 1978


Course L0305: Reinforced Concrete Design I
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Günter Rombach
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0744: Structural Analysis II

Courses
Title Typ Hrs/wk CP
Structural Analysis II (L0673) Lecture 2 3
Structural Analysis II (L0674) Recitation Section (large) 2 3
Module Responsible Prof. Bastian Oesterle
Admission Requirements None
Recommended Previous Knowledge
  • Mechanics I/II
  • Mathematics I/II
  • Differential Equations I
  • Structural Analysis I


Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

After successful completion of this module, students can express the basic aspects of linear frame analysis of statically indeterminate systems.





Skills

After successful completion of this module, the students are able to analyze state variables and to construct influence lines of statically inderminate plane and spatial frame and truss structures.



Personal Competence
Social Competence

Students can

  • participate in subject-specific and interdisciplinary discussions,
  • defend their own work results in front of others
  • promote the scientific development of colleagues
  • Furthermore, they can give and accept professional constructive criticism
Autonomy

The students are able to work in-term homework assignments. Due to the in-term feedback, they are enabled to self-assess their learning progress during the lecture period, already.


Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 10 % Written elaboration Hausübungen mit Testat, betreut durch Studentische Tutoren (Tutorium)
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Civil Engineering: Compulsory
Civil- and Environmental Engineering: Core Qualification: Compulsory
Course L0673: Structural Analysis II
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Bastian Oesterle
Language DE
Cycle SoSe
Content
  • Analysis of statically indeterminant structures
  • Force method, displacement method
  • coputational methods, direct stiffness method
  • elastically supported structures
Literature
  • Vorlesungsmanuskript
  • Bletzinger et al.: Aufgabensammlung zur Baustatik: Übungsaufgaben zur Berechnung ebener Stabtragwerke. Hanser.
  • Dinkler: Grundlagen der Baustatik. Springer.
  • Marti: Baustatik. Ernst und Sohn.
Course L0674: Structural Analysis II
Typ Recitation Section (large)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Bastian Oesterle
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0611: Steel Structures I

Courses
Title Typ Hrs/wk CP
Steel Structures I (L0299) Lecture 2 3
Steel Structures I (L0300) Recitation Section (large) 2 3
Module Responsible Prof. Marcus Rutner
Admission Requirements None
Recommended Previous Knowledge
  • Structural analysis I, Structural analysis II
  • Mechanics I, Mechanics II
  • Building Materials and Building Chemistry
  • Principles of Building Materials and Building Physics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

After passing this module students are able to

  • give a summary of the security concept
  • explain the priciples of the design process
  • describe and illustrate the bhaviour of memers in tension, compression and bending
Skills

Students can rate and apply the material steel appropiately with respect to its properties and usage.

They can use the security concept with respect to loads, forces and resistances.

They can check the ultimate limit state and the serviceability of simple members in tension, compression and bending.

Personal Competence
Social Competence After participation of an optional course (building of a simple truss) they are able to organize themselves in groups. They will be successful in guided building a truss with bolted connections according to design drawings.
Autonomy --
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Civil Engineering: Compulsory
Civil- and Environmental Engineering: Core Qualification: Compulsory
Course L0299: Steel Structures I
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Marcus Rutner
Language DE
Cycle WiSe
Content
  • Introduction to steel constructions
  • Materials
  • Design and security model
  • Tension rods
  • Beams (elsatic and plastic design
  • Column design
  • Bolted connections
Literature

Petersen, C.: Stahlbau, 4. Auflage 2013, Springer-Vieweg Verlag

Wagenknecht, G.: Stahlbau-Praxis nach Eurocode 3, Bauwerk-Verlag 2011

  • Band 1 Tragwerksplanung, Grundlagen
  • Band 2 Verbindungen und Konstruktionen
Course L0300: Steel Structures I
Typ Recitation Section (large)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Marcus Rutner
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0728: Hydromechanics and Hydrology

Courses
Title Typ Hrs/wk CP
Hydrology (L0909) Lecture 1 1
Hydrology (L0956) Project-/problem-based Learning 1 2
Hydromechanics (L0615) Lecture 2 2
Hydromechanics (L0616) Project-/problem-based Learning 1 1
Module Responsible Prof. Peter Fröhle
Admission Requirements None
Recommended Previous Knowledge

Mathematics I, II and III

Mechanics I und II

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students are able to define the basic terms of hydromechanics, hydrology groundwater hydrology and water management. They are able to derive the basic formulations of i) hydrostatics, ii) kinematics of flows and iii) conservation laws and to describe and quantify the relevant processes of the hydrological water cycle. Besides, the students can describe the main aspects of rainfall-run-off-modelling and of established reservoir / storage models as well as the concepts of the determination of a unit-hydrograph.

Skills

The students are able to apply the fundamental formulations of hydromechanics to basic practical problems. Furthermore, they are able to run, explain and document basic hydraulic experiments.

Besides, they are able to apply basic hydrological approaches and methods to simple hydrological problems. The students have the capability to exemplarily apply simple reservoir/storage models and a unit-hydrograph to given problems.

In addition, the basic concepts of field-measurements of hydrological and hydrodynamic values can be described and the students are able to perform, analyze and assess respective measurements.

Personal Competence
Social Competence

The students are able to work in groups in a goal-orientated, structured manner. They can explain their results sustainably in plenary sessions by use of peer learning approaches. Furthermore, they are able to prepare and present technical presentations for given topics in groups.

Autonomy

Students are capable of organising their individual work flow to contribute to the conduct of experiments and to present discipline-specific knowledge. They can provide each other with feedback and suggestions on their results. They are capable of reflecting their study techniques and learning strategy on an individual basis.

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes None Group discussion Erstellung eine Posters zu einer Thematik aus dem Themengebiet der Hydrologie in Gruppen und Präsentation
Yes None Excercises Übungsaufgaben Hydrologie
Yes None Subject theoretical and practical work Durchführung, Dokumentation und Präsentation zu einem Versuchs Hydromechanik oder Hydraulik in Gruppen
Examination Written exam
Examination duration and scale 150 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Civil Engineering: Compulsory
Civil- and Environmental Engineering: Core Qualification: Compulsory
Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory
Course L0909: Hydrology
Typ Lecture
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Peter Fröhle
Language DE
Cycle WiSe
Content

Introduction to basics of hydrology and groundwater hydrology:

  • Hydrological cycle
  • Data acquisition in hydrology
  • Data analyses and statistical assessment
  • Statistics of extremes
  • Regionalization methods for hydrological values
  • rainfall-run-off modelling on the basis of a unit hydrograph concept


Literature

Maniak, U. (2017). Hydrologie und Wasserwirtschaft: Eine Einführung für Ingenieure. Springer Vieweg.

Skript "Hydrologie und Gewässerkunde"

Course L0956: Hydrology
Typ Project-/problem-based Learning
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Peter Fröhle
Language DE
Cycle WiSe
Content

Introduction to basics of Hydrology:

  • Hydrological cycle
  • Data acquisition
  • Data analyses and statistical assessment
  • Statistics of extremes
  • Regionalization methods for hydrological values
Rainfall-run-off modelling on the basis of a unit hydrograph conceps


Literature

Maniak, Hydrologie und Wasserwirtschaft, Eine Einführung für Ingenieure, Springer

Skript Hydrologie und Gewässerkunde

Course L0615: Hydromechanics
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Peter Fröhle
Language DE
Cycle WiSe
Content

Fundamentals of Hydromechanics

  • Characteristics of fluids
  • Hydrostatics
  • Kinematics of flows, laminar and turbulent flows
  • Conservation laws
    • Conservation of mass
    • Conservation of Energy
    • Momentum Equation
  • Application of conservation laws to flow conditions




Literature

Skript zur Vorlesung Hydromechanik/Hydraulik, Kapitel 1-2

E-Learning Werkzeug: Hydromechanik und hydraulik (Link): (http://www.tu-harburg.de/ … hydraulik_tool/index.html)

Truckenbrodt, E.: Lehrbuch der angewandten Fluidmechanik, Springer Verlag, Berlin, 1998.

Truckenbrodt, E.: Grundlagen und elementare Strömungsvorgänge dichtebeständiger Fluide / Fluidmechanik, Springer Verlag, Berlin, 1996.

Course L0616: Hydromechanics
Typ Project-/problem-based Learning
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Peter Fröhle
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0706: Geotechnics I

Courses
Title Typ Hrs/wk CP
Soil Mechanics (L0550) Lecture 2 2
Soil Mechanics (L0551) Recitation Section (large) 2 2
Soil Mechanics (L1493) Recitation Section (small) 2 2
Module Responsible Prof. Jürgen Grabe
Admission Requirements None
Recommended Previous Knowledge

Modules :

  • Mechanics I-II
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge The students know the basics of soil mechanics as the structure and characteristics of soil, stress distribution due to weight, water or structures, consolidation and settlement calculations, as well as failure of the soil due to ground- or slope failure.
Skills

After the successful completion of the module the students should be able to describe the mechanical properties and to evaluate them with the help of geotechnical standard tests. They can calculate stresses and deformation in the soils due to weight or influence of structures. They are are able to prove the usability (settlements) for shallow foundations.

Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 20 % Attestation
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Civil Engineering: Compulsory
Civil- and Environmental Engineering: Core Qualification: Compulsory
Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory
Course L0550: Soil Mechanics
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Jürgen Grabe
Language DE
Cycle WiSe/SoSe
Content
  • Structure of the soil
  • Ground surveying
  • Compsitition and properties of the soil
  • Groundwater
  • One-dimensional compression
  • Spreading of stresses
  • Settlement calculation
  • Consolidation
  • Shear strength
  • Earth pressure
  • Slope failure
  • Ground failure
  • Suspension based earth tenches
Literature
  • Vorlesungsumdruck, s. ww.tu-harburg.de/gbt
  • Grabe, J. (2004): Bodenmechanik und Grundbau
  • Gudehus, G. (1981): Bodenmechanik
  • Kolymbas, D. (1998): Geotechnik - Bodenmechanik und Grundbau
  • Grundbau-Taschenbuch, Teil 1, aktuelle Auflage
Course L0551: Soil Mechanics
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Jürgen Grabe
Language DE
Cycle WiSe/SoSe
Content See interlocking course
Literature See interlocking course
Course L1493: Soil Mechanics
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Jürgen Grabe
Language DE
Cycle WiSe/SoSe
Content See interlocking course
Literature See interlocking course

Module M0579: Structural Design

Courses
Title Typ Hrs/wk CP
Basics in Structural Design (L0209) Project-/problem-based Learning 2 4
Basics of Structural Design (L0205) Lecture 2 1
Basics in Structural Design (L0208) Recitation Section (large) 1 1
Module Responsible Sebastian Rybczynski
Admission Requirements None
Recommended Previous Knowledge Contents of module "Principles of Building Materials and Building Physics"
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

After attending the "Building Construction" module students are able 

  • to define the basics of building regulations law
  • to explain load effects and associated concepts
  • to describe overriding conventions of the construction industry
  • to specify typical building components 
  • to distinguish between different possibilities of load bearing behaviour and risks due to lack of stability
  • to explain the main objectivs of fire control.
Skills

After the successful completion of the "Building Construction" module, students will be able

  • to apply industry-specific drawing conventions
  • carry out preliminary dimensioning of basic building components
  • develop stability and foundation concepts
  • use  BIM software
  • and to design and construct standard cross-sections due to structural aspects.
Personal Competence
Social Competence

After attending the course students are able 

  • to work in a team and to persent the results of the team work
  • to use the feedback from other students to improve the own results
  • to give a feedback to other students in a constructive manner
Autonomy

After attending the course students are able 

  • to control and improve their knowledge with the help of weeekly presentations (lecture room) and tests (STUD.IP)
  • to divide the main task in different parts, to deduce the needed knowledge and to schedule the different work steps


Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Subject theoretical and practical work
Examination duration and scale Desing, Construction and prelimnary design in a written form
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Civil Engineering: Compulsory
Civil- and Environmental Engineering: Core Qualification: Compulsory
Integrated Building Technology: Core Qualification: Compulsory
Course L0209: Basics in Structural Design
Typ Project-/problem-based Learning
Hrs/wk 2
CP 4
Workload in Hours Independent Study Time 92, Study Time in Lecture 28
Lecturer Sebastian Rybczynski
Language DE
Cycle WiSe
Content
  • Constructing a small individuell buidling in groups of 4 persons
  • Analysing the informations and the contents of development plans and buidling regulation laws 
  • Design of building components and approving of the funcionality (sealing, facades, roofs)
  • Design and approve of the funcionality of the component interconnections
  • Proofing and assessing of moisture behaviour, energy comsumption, acoustic protection and fire control
  • Assessing the building stabilty
  • Basics of building services
  • Each week the results of different work steps are presented in oral and written form
Literature

Vortragsfolien der Lehrveranstaltung stehen über STUD.IP zum download zur Verfügung


Neumann, Dietrich (Hestermann, Ulf.; Rongen, Ludwig.; Weinbrenner, Ulrich)
Frick/Knöll Baukonstructionslehre 1 / [Internet-Ressource]
ISBN: 978-3-8351-9121-1 
Wiesbaden : B.G. Teubner Verlag / GWV Fachverlage GmbH, Wiesbaden, 2006

Frick[Begr.], Otto (Knöll[Begr.], Karl.; Neumann, Dietrich.; Hestermann, Ulf.; Rongen, Ludwig.)
Baukonstruktionslehre 2 / [Internet-Ressource]
ISBN: 978-3-8348-9486-1
Wiesbaden : Vieweg+Teubner Verlag / GWV Fachverlage GmbH, Wiesbaden, 2008

Dierks, Klaus (Wormuth, Rüdiger.)
Baukonstruktion : [Einführung, Grundlagen, Gründungen, technische Ausrüstung, Wände, Geschossdecken, Treppen, Dächer, Fenster, Türen, Konstruktionsatlas]
ISBN: 3804150454 (Gb.) ISBN: 978-3-8041-5045-4 
Neuwied : Werner, 2007

Schneider, Klaus-Jürgen (Goris, Alfons.; Berner, Klaus)
Bautabellen für Ingenieure : mit Berechnungshinweisen und Beispielen ; [auf CD-ROM: Stabwerksprogramm IQ 100 B, Tools für den konstr. Ingenieurbau, Fachinformationen, Normentexte]
ISBN: 3804152287 
Neuwied : Werner, 2006

Wendehorst, Reinhard (Wetzell, Otto W.,; Baumgartner, Herwig,; Deutsches Institut für Normung)
Wendehorst Bautechnische Zahlentafeln
ISBN: 978-3-8351-0055-8 ISBN: 3835100556 
Stuttgart [u.a.] : Teubner Berlin [u.a.] : Beuth, 2007

Neufert, Ernst (Kister, Johannes)
Bauentwurfslehre : Grundlagen, Normen, Vorschriften über Anlage, Bau, Gestaltung, Raumbedarf, Raumbeziehungen, Maße für Gebäude, Räume, Einrichtungen, Geräte mit dem Menschen als Maß und Ziel ; Handbuch für den Baufachmann, Bauherrn, Lehrenden und Lernenden
ISBN: 978-3-8348-0732-8 (GB.) 
Wiesbaden : Vieweg + Teubner, 2009

Course L0205: Basics of Structural Design
Typ Lecture
Hrs/wk 2
CP 1
Workload in Hours Independent Study Time 2, Study Time in Lecture 28
Lecturer Sebastian Rybczynski
Language DE
Cycle WiSe
Content
  • Basics of building regulation laws
  • Foundation of buildings
  • Sealing of basements
  • facades
  • Ceilings
  • Roofs
  • Windows, doors and post-and-beam constructions
  • Staircases
  • Basics of strucural engineering design
  • Structural fire prevention
  • Optional tests on STUD.IP
Literature

Vortragsfolien der Lehrveranstaltung stehen über STUD.IP zum download zur Verfügung

Schneider Bautabellen (Hrsg. A. Albert)
23., überarbeitete Aufl.
ISBN 978-3-8462-0880-9
Reguvis Fachmedien GmbH, 2018

Neumann, Dietrich (Hestermann, U.; Rongen, L.; Weinbrenner, U.)
Frick/Knöll Baukonstructionslehre 1 / [Internet-Ressource]
ISBN: 978-3-8351-9121-1
Wiesbaden: Vieweg+Teubner Verlag, 2006

Frick, Otto (Knöll, K.; Neumann, D.; Hestermann, U.; Rongen, L.)
Baukonstruktionslehre 2 / [Internet-Ressource]
ISBN: 978-3-8348-9486-1
Wiesbaden: Vieweg+Teubner Verlag, 2008

Dierks, Klaus (Wormuth, R.)
Baukonstruktion
ISBN: 978-3-8041-5045-4  
Neuwied : Werner, 2007

Neufert, Ernst (Kister, J.)
Bauentwurfslehre (42. Aufl.)
ISBN: 978-3-8348-0732-8
Wiesbaden : Vieweg + Teubner, 2018


Wendehorst, Reinhard (Wetzell, O. W.,; Baumgartner, H.,)
Wendehorst Bautechnische Zahlentafeln
ISBN: 978-3-8351-0055-8
Stuttgart/Berlin: Teubner/Beuth, 2018

Course L0208: Basics in Structural Design
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Sebastian Rybczynski
Language DE
Cycle WiSe
Content
  • Constructing a small individuell buidling in groups of 4 persons
  • Analysing the informations and the contents of development plans and buidling regulation laws 
  • Design of building components and approving of the funcionality (sealing, facades, roofs)
  • Design and approve of the funcionality of the component interconnections
  • Proofing and assessing of moisture behaviour, energy comsumption, acoustic protection and fire control
  • Assessing the building stabilty
  • Basics of building services
  • Each week the results of different work steps are presented in oral and written form
Literature

Vortragsfolien der Lehrveranstaltung stehen über STUD.IP zum download zur Verfügung


Neumann, Dietrich (Hestermann, Ulf.; Rongen, Ludwig.; Weinbrenner, Ulrich)
Frick/Knöll Baukonstructionslehre 1 / [Internet-Ressource]
ISBN: 978-3-8351-9121-1 
Wiesbaden : B.G. Teubner Verlag / GWV Fachverlage GmbH, Wiesbaden, 2006

Frick[Begr.], Otto (Knöll[Begr.], Karl.; Neumann, Dietrich.; Hestermann, Ulf.; Rongen, Ludwig.)
Baukonstruktionslehre 2 / [Internet-Ressource]
ISBN: 978-3-8348-9486-1
Wiesbaden : Vieweg+Teubner Verlag / GWV Fachverlage GmbH, Wiesbaden, 2008

Dierks, Klaus (Wormuth, Rüdiger.)
Baukonstruktion : [Einführung, Grundlagen, Gründungen, technische Ausrüstung, Wände, Geschossdecken, Treppen, Dächer, Fenster, Türen, Konstruktionsatlas]
ISBN: 3804150454 (Gb.) ISBN: 978-3-8041-5045-4 
Neuwied : Werner, 2007

Schneider, Klaus-Jürgen (Goris, Alfons.; Berner, Klaus)
Bautabellen für Ingenieure : mit Berechnungshinweisen und Beispielen ; [auf CD-ROM: Stabwerksprogramm IQ 100 B, Tools für den konstr. Ingenieurbau, Fachinformationen, Normentexte]
ISBN: 3804152287 
Neuwied : Werner, 2006

Wendehorst, Reinhard (Wetzell, Otto W.,; Baumgartner, Herwig,; Deutsches Institut für Normung)
Wendehorst Bautechnische Zahlentafeln
ISBN: 978-3-8351-0055-8 ISBN: 3835100556 
Stuttgart [u.a.] : Teubner Berlin [u.a.] : Beuth, 2007

Neufert, Ernst (Kister, Johannes)
Bauentwurfslehre : Grundlagen, Normen, Vorschriften über Anlage, Bau, Gestaltung, Raumbedarf, Raumbeziehungen, Maße für Gebäude, Räume, Einrichtungen, Geräte mit dem Menschen als Maß und Ziel ; Handbuch für den Baufachmann, Bauherrn, Lehrenden und Lernenden
ISBN: 978-3-8348-0732-8 (GB.) 
Wiesbaden : Vieweg + Teubner, 2009

Module M0631: Reinforced Concrete Structures II

Courses
Title Typ Hrs/wk CP
Project Concrete Structures II (L0894) Project Seminar 1 1
Concrete Structures II (L0348) Lecture 2 3
Concrete Structures II (L0349) Recitation Section (large) 2 2
Module Responsible Prof. Günter Rombach
Admission Requirements None
Recommended Previous Knowledge
  • Knowledge of loads on structures and combination of actions
  • Basics of safety format are required.
  • Knowledge in design of beams and columns for ultimate limit state
  • Modules: Reinforced Concrete Structures I, Structural Analysis I+II, Mechanics I+II




Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge The students know the basic principles which are required for design of reinforced concrete structures. They know the various methods to estimate the member forces in simple one and two-way slabs. 
Skills
  • The students can design reinforced concrete structure in the ultimate limit state (shear, bending, torsion) and in the serviceability limit state (crack and deflection control) including detailing (anchorage and links etc.).
  • The students can estimate the member forces of simple slabs.
  • The students know the content and the layout of a structural analysis
Personal Competence
Social Competence Cooperation in a project work, where they design in a team a real concrete building and present the results at the end.
Autonomy
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
No None Excercises
Examination Written exam
Examination duration and scale 120 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Civil Engineering: Elective Compulsory
Civil- and Environmental Engineering: Specialisation Civil Engineering: Compulsory
Civil- and Environmental Engineering: Specialisation Traffic and Mobility: Elective Compulsory
Civil- and Environmental Engineering: Specialisation Water and Environment: Elective Compulsory
Course L0894: Project Concrete Structures II
Typ Project Seminar
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Günter Rombach
Language DE
Cycle WiSe
Content Design of a truss structure
Literature Skript zur Lehrveranstaltung "Stahlbetonbau II"
Course L0348: Concrete Structures II
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Günter Rombach
Language DE
Cycle WiSe
Content
  • Design of concrete members for shear, punching and torsion
  • Design for serviceability limit state (durability): crack- and deflection control
  • Detailing
  • Design of discontinuity regions (e.g. corbels, frame corner)
  • design of footings
  • Introduction in the design of slabs
  • Layout and content of a structural design
Literature
  • Vorlesungsumdrucke zum downloaden im STUDiP
  • Zilch K., Zehetmaier G.: Bemessung im konstruktiven Betonbau. Springer Verlag, 2010
  • König G., Tue N.: Grundlagen des Stahlbetonbaus. Teubner Verlag, Stuttgart 1998
  • Deutscher Beton- und Bautechnikverein E.V.: Beispiele zur Bemessung von Betontragwerken nach Eurocode 2. Band 1: Hochbau, Bauverlag GmbH, Wiesbaden 2011
  • Dahms K.-H.: Rohbauzeichnungen, Bewehrungszeichnungen. Bauverlag, Wiesbaden 1997
  • Grasser E. ,Thielen G.: Hilfsmittel zur Berechnung der Schnittgrößen und Formänderungen von Stahlbetontragwerken. Deutscher Ausschuss für Stahlbeton, Heft 240, Verlag Ernst & Sohn, Berlin 1978
  • DIN EN 1992-1-1:2011: Bemessung und Konstruktion von Stahlbeton- und Spannbetontragwerken - Teil 1: Allgemeine Bemessungsregeln für den Hochbau. 


Course L0349: Concrete Structures II
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Günter Rombach
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1634: Computational Structural Mechanics

Courses
Title Typ Hrs/wk CP
Computational Stuctural Mechanics (L2475) Integrated Lecture 2 2
Computational Structural Mechanics (Exercise) (L2873) Recitation Section (small) 1 1
Module Responsible Prof. Christian Cyron
Admission Requirements None
Recommended Previous Knowledge Engineering Mechanics I, Engineering Mechanics II, Mathematics I, Mathematics II
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge Students now commonly used models  for linear and planar structures in structural mechanics. Moreover, they understand the importance of computational methods in modern solid mechanics and in particular also the theoretical foundations of the finite element method.
Skills

Students are able to develop simple computational methods and programs to solve problems in solid mechanics. Moreover, student have sufficient basic knowledge about the finite element method to use commercial software in this area for the successful solution of at least simple problems (after a short introduction into the handling of a specific software package)


Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Credit points 3
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Civil Engineering: Compulsory
Civil- and Environmental Engineering: Specialisation Civil Engineering: Compulsory
Course L2475: Computational Stuctural Mechanics
Typ Integrated Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Christian Cyron
Language DE
Cycle SoSe
Content

The lecture Computational Structural Mechanics extends the content of the lecture Engineering Mechanic II. It bridges the gap between the manual calculation of mechanical stress and deformation in systems with a particularly simple geometry and the efficent computer-based computation of general mechanical systems:

  • Basics of linear continuum mechanics
  • Planar structures: plate, membrane, slab
  • Linientragwerke: beam, cable, truss
  • Weak form and Galerkin's method
  • Finite element method: theory and application
  • Principles of mechanics: principle of virtual work, virtual displacements, virtual forces
Literature Gross, Hauger, Wriggers, "Technische Mechanik 4", Springer
Course L2873: Computational Structural Mechanics (Exercise)
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Christian Cyron
Language DE
Cycle SoSe
Content The exercise on Computational Structural Mechanics demonstrates how the theoretical content of the lecture on Computational Structural Mechanics can be applied to solve specific mechanical problems.
Literature

Module M1629: Geoinformation Science

Courses
Title Typ Hrs/wk CP
Introduction to Geoinformation Science (L2465) Project-/problem-based Learning 3 3
Module Responsible Prof. Peter Fröhle
Admission Requirements None
Recommended Previous Knowledge

Principles of analysis and linear algebra

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students are able to define the tasks and terms from the field of application of geo information systems. They can report the basics, the basic approaches and methods of geo information systems and are able to transfer these to practical questions.

Skills

Students are able to apply the basic methods used in geo-information systems to practical problems. They are able to apply them to simple applications of geographic information systems and to transfer them to other problems. The students can process a simple GIS project and present their results.

Personal Competence
Social Competence

The students can work together groups cooperatively and productively.

Autonomy

Students are able to organize their work flow to prepare themselves before presentations and discussion. They can acquire appropriate knowledge by making enquiries independently.

Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Credit points 3
Course achievement None
Examination Subject theoretical and practical work
Examination duration and scale Computer aided GIS-Application and written-theoretical part
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Civil Engineering: Compulsory
Civil- and Environmental Engineering: Specialisation Traffic and Mobility: Compulsory
Civil- and Environmental Engineering: Specialisation Water and Environment: Compulsory
Course L2465: Introduction to Geoinformation Science
Typ Project-/problem-based Learning
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Yohannis Tadesse
Language DE
Cycle SoSe
Content
  • Theoretical basics of Geo-Information-Systems
  • Data models, geographical coordinates, geo-referencing, map-views
  • Data mining and -analyses of geo-data 
  • Analysis techniques
Literature

Module M0612: Steel Structures II

Courses
Title Typ Hrs/wk CP
Steel Structures II (L0301) Lecture 2 3
Steel Structures II (L0302) Recitation Section (large) 2 3
Module Responsible Prof. Marcus Rutner
Admission Requirements None
Recommended Previous Knowledge

Steel Structures I


Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

After successful completition students can

  • describe and explain the behaviour of bolted and welded connections
  • design and check simple halls and buildings
  • calculate forces and stresses of simple structures (trusses, beams, frames)
  • illustrate and dimension he main details (framework, column base, load application points)
Skills

Students are able to design simple structures and connections, describe the load distribution and recognize the possible modes of failure. They can apply structural imperfections, calculate according to 2nd order theory and verify their results.

Personal Competence
Social Competence --
Autonomy --
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Civil Engineering: Elective Compulsory
Civil- and Environmental Engineering: Specialisation Civil Engineering: Compulsory
Civil- and Environmental Engineering: Specialisation Traffic and Mobility: Elective Compulsory
Civil- and Environmental Engineering: Specialisation Water and Environment: Elective Compulsory
Course L0301: Steel Structures II
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Marcus Rutner
Language DE
Cycle SoSe
Content
  • Welded connections
  • Simple constructions
    • Trusses
    • Plate girders
    • Frames
    • Columns
  • Buildings with several storeys
  • Halls
Literature

Petersen, C.: Stahlbau, 4. Auflage 2013, Springer-Vieweg Verlag

Wagenknecht, G.: Stahlbau-Praxis nach Eurocode 3, Bauwerk-Verlag 2011

  • Band 1 Tragwerksplanung, Grundlagen
  • Band 2 Verbindungen und Konstruktionen
Course L0302: Steel Structures II
Typ Recitation Section (large)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Marcus Rutner
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0755: Geotechnics II

Courses
Title Typ Hrs/wk CP
Foundation Engineering (L0552) Lecture 2 2
Foundation Engineering (L0553) Recitation Section (large) 2 2
Foundation Engineering (L1494) Recitation Section (small) 2 2
Module Responsible Prof. Jürgen Grabe
Admission Requirements None
Recommended Previous Knowledge

Modules:

  • Mechanics I-II
  • Geotechnics I


Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge The students know the basic principles and methods which are required to verificate the stability of geotechnical structures.
Skills

After successful completion of the module the students are able to:

  • verificate the stability and usability of foundations,
  • know individual methods of ground improvement and apply them in their range of application,
  • design retaining walls.
Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 20 % Attestation
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Civil Engineering: Elective Compulsory
Civil- and Environmental Engineering: Specialisation Civil Engineering: Compulsory
Civil- and Environmental Engineering: Specialisation Traffic and Mobility: Elective Compulsory
Civil- and Environmental Engineering: Specialisation Water and Environment: Elective Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0552: Foundation Engineering
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Jürgen Grabe
Language DE
Cycle WiSe/SoSe
Content
  • Shallow foundations
  • Pile foundations
  • Ground improvement
  • Retaining walls
  • Underpinning
  • Groundwater Conservation
  • Cut-off Walls
Literature
  • Vorlesung/Übung s. www.tu-harburg.de/gbt
  • Grabe, J. (2004): Bodenmechanik und Grundbau
  • Kolymbas, D. (1998): Geotechnik - Bodenmechanik und Grundbau
  • Grundbau-Taschenbuch, neueste Auflage
Course L0553: Foundation Engineering
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Jürgen Grabe
Language DE
Cycle WiSe/SoSe
Content See interlocking course
Literature See interlocking course
Course L1494: Foundation Engineering
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Jürgen Grabe
Language DE
Cycle WiSe/SoSe
Content See interlocking course
Literature See interlocking course

Specialization Chemical and Bioengineering

Module M1760: Introduction to Chemical and Bioengineering

Courses
Title Typ Hrs/wk CP
Introduction to Chemical and Bioengineering (L2892) Lecture 2 3
Module Responsible Prof. Johannes Gescher
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
Skills
Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Credit points 3
Course achievement None
Examination Written elaboration
Examination duration and scale max. 5 pages
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Chemical and Bioengineering: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Course L2892: Introduction to Chemical and Bioengineering
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dozenten des SD V
Language DE
Cycle WiSe
Content
Literature

Module M1497: Measurement Technology for Chemical and Bioprocess Engineering

Courses
Title Typ Hrs/wk CP
Practical Course Measurement Technology (L2270) Practical Course 2 2
Measurement Technology (L2268) Lecture 2 2
Physical Fundamentals of Measurement Technology (L2269) Lecture 2 2
Module Responsible Prof. Alexander Penn
Admission Requirements None
Recommended Previous Knowledge

Technical interest, logical skills, integral- and differential calculus, basic physical concepts such as temperature, mass, velocity, etc..

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Physical basics: kinematics and dynamics (theory of motion), rotation of rigid bodies, energy and momentum, electricity, magnetism, basics of hydrodynamics, temperature and heat, ideal gas.

Metrology: SI units, measurement and measurement uncertainty, basics of sensor technology, physical principles, temperature measurement, pressure measurement, level measurement, flow measurement. Usage of Matlab scripts.

Practical course: Pressure drop in piping, calorimetry, image data acquisition, flow measurement, concentration measurement and mass transfer, capacitive measurements of solid concentrations, spectroscopy, error calculation, chromatography

Skills

Literature research, categorisation of thematical topics, analysis of an experimental test stand, preparation of test protocol, first programming with Matlab, use of relevant laboratory measurement technology, preparation of a test protocol, execution of calculations.

Personal Competence
Social Competence

Arrangement and division of work in practical training and learning groups, assessment of own level of knowledge, work on the experimental stand in groups, consultation with persons responsible for teaching, presentation of the preparation of the experiment, tolerance of frustration

Autonomy

Time management of the workload, independent development of the thematic basics, personal responsibility for the provision of protective equipment and work clothing, practice of presentation in front of a group, active participation in the lectures, formulation of enquiries/detailed questions by using clicker.

Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 20 % Excercises Popup-Quizzes währen der Vorlesung
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Process Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Green Technologies: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Chemical and Bioengineering: Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory
Orientation Studies: Core Qualification: Elective Compulsory
Process Engineering: Core Qualification: Compulsory
Course L2270: Practical Course Measurement Technology
Typ Practical Course
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Alexander Penn
Language DE
Cycle WiSe
Content

In the Practical Course in Measurement Technology the theory from the lectures "Physical Fundamentals of Measurement Technology" and "Measurement Technology" will be applied in practice. In small groups students learn how to handle different measurement techniques from industry and research. During the practical course, a wide range of different measurement methods will be taught, including the use of HLPC columns for qualitative mass analysis, the determination of mass transfer coefficients using optical oxygen sensors or the evaluation of image data to obtain process parameters. The practical course also teaches how measurement data are statistically evaluated and experiments are correctly documented. 

Literature

Hug, H.: Instrumentelle Analytik. Theorie und Praxis. Verlag Europa-Lehrmittel, Haan-Gruiten, 2015.

Kamke, W.: Der Umgang mit experimentellen Daten, insbesondere Fehleranalyse, im physikalischen Anfänger-Praktikum. Eine elementare Einführung. W. Kamke, Kirchzarten [Keltenring 197], 2010.

Strohrmann, G.: Messtechnik im Chemiebetrieb. Einführung in das Messen verfahrenstechnischer Größen. Oldenbourg, München, 2004.

Course L2268: Measurement Technology
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Alexander Penn
Language DE
Cycle WiSe
Content

Basic introduction to measurement technology for process engineers. Includes error calculation, measurement units, calibration, measurement data analysis, measurement techniques and sensors. Particular attention is paid to the measurement of temperature, pressure, flow and level. The lecture provides insights into the latest developments in sensor technology in measurement technology and process engineering.



Literature

Fraden, Jacob (2016): Handbook of Modern Sensors. Physics, Designs, and Applications. 5th ed. 2016. Cham, New York: Springer. Online verfügbar unter http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1081958.

Hering, Ekbert; Schönfelder, Gert (2018): Sensoren in Wissenschaft und Technik. Funktionsweise und Einsatzgebiete. 2. Aufl. 2018. Online verfügbar unter http://dx.doi.org/10.1007/978-3-658-12562-2.

Strohrmann, Günther (2004): Messtechnik im Chemiebetrieb. Einführung in das Messen verfahrenstechnischer Größen. 10., durchges. Aufl. München: Oldenbourg.

Tränkler, Hans-Rolf; Reindl, Leonhard M. (2014): Sensortechnik. Handbuch für Praxis und Wissenschaft. 2., völlig neu bearb. Aufl. Berlin: Springer Vieweg (VDI-Buch). Online verfügbar unter http://dx.doi.org/10.1007/978-3-642-29942-1.

Webster, John G.; Eren, Halit B. (2014): Measurement, Instrumentation, and Sensors Handbook, Second Edition. Electromagnetic, Optical, Radiation, Chemical, and Biomedical Measurement. 2nd ed. Hoboken: Taylor and Francis. Online verfügbar unter http://gbv.eblib.com/patron/FullRecord.aspx?p=1407945.


Course L2269: Physical Fundamentals of Measurement Technology
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Christian Schroer
Language DE
Cycle WiSe
Content

Classical mechanics - kinematics, dynamics, energy, momentum and conservation laws, rigid bodies, translation and rotation, angular momentum.
Mechanics of gases and fluids - hydrostatics and hydrodynamics 
Thermodynamics - temperature, heat, heat transport, ideal gas, changes of state, cyclic processes, laws of thermodynamics
Electricity - electrostatics, electrical conduction, magnetism, Lorentz force, Maxwell's equations (integral form)

Literature Paul A. Tipler, Gene Mosca: Physik für Wissenschaftler und Ingenieure, Spektrum Verlag

D. Meschede (Hrsg.): Gerthsen Physik, Springer-Verlag

Jay Orear: Physik, Hanser Verlag

D. Halliday, R. Resnick, J. Walker: Physik, Wiley VCH

Module M1761: Biological and Biochemical Fundamentals

Courses
Title Typ Hrs/wk CP
Biological and Biochemical Fundamentals (L2900) Lecture 2 2
Fundamental Biological and Biochemical Practical Course (L2901) Practical Course 3 3
Introduction to the Biological and Biochemical Practical Course (L2902) Lecture 1 1
Module Responsible Prof. Johannes Gescher
Admission Requirements None
Recommended Previous Knowledge

The module is divided into two parts. In the winter semester, a lecture with 2 semester hours per week is offered. No previous knowledge is required for this lecture. In the following summer semester, the second part of the module is offered. This is divided into an internship and an introductory lecture. For these two parts of the module, attendance of the lecture in the winter semester is strongly recommended. 

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The module aims to teach you the basic principles of biological systems and biocatalysts. You will learn how organisms are constructed and what basic characteristics can be used to distinguish organisms from the three kingdoms of life. You will learn about the ways in which biological systems can produce energy and you will apply the principles of biological thermodynamics. In addition, you will learn how enzymes are constructed and, using some classes of enzymes as examples, you will learn how enzymes exert their effect. 

At the end of the module

- you will be able to describe basic principles of living systems and explain the metabolism of organisms by applying them.

- you will be able to assign organisms to the three kingdoms of life based on some basic characteristics

- you will be able to describe the tasks of enzymes generically on the basis of some example reactions

- you will be able to deduce from the basic characteristics of organisms and enzymes which biotechnological applications are possible with these systems. 

- you can understand and use the technical vocabulary of biological systems and processes

- you will be able to perform simple bioinformatic operations to assign DNA sequences to a function

- you can confidently apply the basic principles of using primary literature 

Skills

The students master the basic techniques of sterile work and molecular diagnostics. They can independently prepare media and maintain microorganisms in culture. In addition, they can isolate and characterize organisms from enrichment cultures and environmental samples. 

Personal Competence
Social Competence

The students are able,

- to gather knowledge in groups of about 2 to 10 students

- to introduce their own knowledge and to argue their view in discussions in teams

- to divide a complex task into subtasks, solve these and to present the combined results 

Autonomy

Students are able to independently structure their internship days and prioritize tasks. Furthermore, they are able to collect and process basic information on microorganisms via a literature search.

Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes None Presentation Zusammenstellung der Ergebnisse des Praktikums
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Chemical and Bioengineering: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Course L2900: Biological and Biochemical Fundamentals
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Johannes Gescher
Language DE
Cycle WiSe
Content

In the lecture we will learn the basic characteristics of organisms of all kingdoms of life. This includes cell biology as well as cell physiology. We understand the energetic foundations of living systems and the variety of possible metabolic concepts of life. From these basic laws we will understand how and to what extent an application and genetic reprogramming of organisms for application can take place.

Literature

Fuchs: Allgemeine Mikrobiologie, 11. vollständig überarbeitete Auflage 2022; ISBN: 9783132434776

Brock: Biology of Microorganisms, ISBN-13:  9780134626109

Course L2901: Fundamental Biological and Biochemical Practical Course
Typ Practical Course
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Johannes Gescher
Language DE
Cycle SoSe
Content

The aim of the practical course is to teach basic microbiological and molecular biological techniques on the basis of individual research assignments and control experiments. In doing so, organisms are to be isolated in this practical course, which will be further processed by students of the 4th and 6th semester in two independent modules. 

Literature

Steinbüchel: Mikrobiologisches Praktikum, ISBN:  978-3-662-63234-5

Course L2902: Introduction to the Biological and Biochemical Practical Course
Typ Lecture
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Johannes Gescher
Language DE
Cycle SoSe
Content

The aim of the introductory lecture is to explain different methods used and their range of application. In addition, we will clarify specific physiological characteristics of the microorganisms to be isolated.  

Literature

Steinbüchel: Mikrobiologisches Praktikum, ISBN:  978-3-662-63234-5

Module M0536: Fundamentals of Fluid Mechanics

Courses
Title Typ Hrs/wk CP
Fundamentals of Fluid Mechanics (L0091) Lecture 2 2
Fundamentals on Fluid Mechanics (L2933) Recitation Section (small) 2 2
Fluid Mechanics for Process Engineering (L0092) Recitation Section (large) 2 2
Module Responsible Prof. Michael Schlüter
Admission Requirements None
Recommended Previous Knowledge
  • Mathematics I+II+III
  • Technical Mechanics I+II
  • Technical Thermodynamics I+II
  • Working with force balances
  • Simplification and solving of partial differential equations
  • Integration
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to:

  • explain the difference between different types of flow
  • give an overview for different applications of the Reynolds Transport-Theorem in process engineering
  • explain simplifications of the Continuity- and Navier-Stokes-Equation by using physical boundary conditions
Skills

The students are able to

  • describe and model incompressible flows mathematically
  • reduce the governing equations of fluid mechanics by simplifications to archive quantitative solutions e.g. by integration
  • notice the dependency between theory and technical applications
  • use the learned basics for fluid dynamical applications in fields of process engineering 
Personal Competence
Social Competence

The students

  • are capable to gather information from subject related, professional publications and relate that information to the context of the lecture and
  • able to work together on subject related tasks in small groups. They are able to present their results effectively in English (e.g. during small group exercises)
  • are able to work out solutions for exercises by themselves, to discuss the solutions orally and to present the results.
Autonomy

The students are able to

  • search further literature for each topic and to expand their knowledge with this literature,
  • work on their exercises by their own and to evaluate their actual knowledge with the feedback.
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 5 % Midterm
Examination Written exam
Examination duration and scale 3 hours
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Green Technologies: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Chemical and Bioengineering: Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory
Integrated Building Technology: Core Qualification: Compulsory
Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Process Engineering: Core Qualification: Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory
Course L0091: Fundamentals of Fluid Mechanics
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Michael Schlüter
Language DE
Cycle SoSe
Content
  • fluid properties
  • hydrostatic
  • overall balances - theory of streamline
  • overall balances- conservation equations
  • differential balances - Navier Stokes equations
  • irrotational flows - Potenzialströmungen
  • flow around bodies - theory of physical similarity
  • turbulent flows
  • compressible flows
Literature
  1. Crowe, C. T.: Engineering fluid mechanics. Wiley, New York, 2009.
  2. Durst, F.: Strömungsmechanik: Einführung in die Theorie der Strömungen von Fluiden. Springer-Verlag, Berlin, Heidelberg, 2006.
  3. Fox, R.W.; et al.: Introduction to Fluid Mechanics. J. Wiley & Sons, 1994
  4. Herwig, H.: Strömungsmechanik: Eine Einführung in die Physik und die mathematische Modellierung von Strömungen. Springer Verlag, Berlin, Heidelberg, New York, 2006
  5. Herwig, H.: Strömungsmechanik: Einführung in die Physik von technischen Strömungen: Vieweg+Teubner Verlag / GWV Fachverlage GmbH, Wiesbaden, 2008
  6. Kuhlmann, H.C.:  Strömungsmechanik. München, Pearson Studium, 2007
  7. Oertl, H.: Strömungsmechanik: Grundlagen, Grundgleichungen, Lösungsmethoden, Softwarebeispiele. Vieweg+ Teubner Verlag / GWV Fachverlage GmbH, Wiesbaden, 2009
  8. Schade, H.; Kunz, E.: Strömungslehre. Verlag de Gruyter, Berlin, New York, 2007
  9. Truckenbrodt, E.: Fluidmechanik 1: Grundlagen und elementare Strömungsvorgänge dichtebeständiger Fluide. Springer-Verlag, Berlin, Heidelberg, 2008
  10. Schlichting, H. : Grenzschicht-Theorie. Springer-Verlag, Berlin, 2006
  11. van Dyke, M.: An Album of Fluid Motion. The Parabolic Press, Stanford California, 1882.
  12. White, F.: Fluid Mechanics, Mcgraw-Hill, ISBN-10: 0071311211, ISBN-13: 978-0071311212, 2011
Course L2933: Fundamentals on Fluid Mechanics
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Michael Schlüter
Language DE
Cycle SoSe
Content

In the group exercise, the contents of the lecture are taken up and deepened by means of exercises. The exercise tasks correspond in quality and scope to the tasks of the written exam. Topics: Reynolds transport-theorem, pipe flow, free jet, angular momentum, Navier-Stokes equations, potential theory, mock exam, pipe hydraulics, pump design.

Literature

Heinz Herwig: Strömungsmechanik, Eine Einführung in die Physik und die mathematische Modellierung von Strömungen, Springer Verlag, Berlin, 978-3-540-32441-6 (ISBN)

Herbert Oertel, Martin Böhle, Thomas Reviol: Strömungsmechanik für Ingenieure und Naturwissenschaftler, Springer Verlag, Berlin, ISBN: 978-3-658-07786-0

Joseph Spurk, Nuri Aksel: Strömungslehre, Einführung in die Theorie der Strömungen, Springer Verlag, Berlin, ISBN: 978-3-642-13143-1.

Course L0092: Fluid Mechanics for Process Engineering
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Michael Schlüter
Language DE
Cycle SoSe
Content

In the exercise-lecture the topics from the main lecture are discussed intensively and transferred into application. For that, the students receive example tasks for download. The students solve these problems based on the lecture material either independently or in small groups. The solution is discussed with the students under scientific supervision and parts of the solutions are presented on the chalk board. At the end of each exercise-lecture, the correct solution is presented on the chalk board. Parallel to the exercise-lecture tutorials are held where the student solve exam questions under a set time-frame in small groups and discuss the solutions afterwards.

  

Literature
  1. Crowe, C. T.: Engineering fluid mechanics. Wiley, New York, 2009.
  2. Durst, F.: Strömungsmechanik: Einführung in die Theorie der Strömungen von Fluiden. Springer-Verlag, Berlin, Heidelberg, 2006.
  3. Fox, R.W.; et al.: Introduction to Fluid Mechanics. J. Wiley & Sons, 1994
  4. Herwig, H.: Strömungsmechanik: Eine Einführung in die Physik und die mathematische Modellierung von Strömungen. Springer Verlag, Berlin, Heidelberg, New York, 2006
  5. Herwig, H.: Strömungsmechanik: Einführung in die Physik von technischen Strömungen: Vieweg+Teubner Verlag / GWV Fachverlage GmbH, Wiesbaden, 2008
  6. Kuhlmann, H.C.:  Strömungsmechanik. München, Pearson Studium, 2007
  7. Oertl, H.: Strömungsmechanik: Grundlagen, Grundgleichungen, Lösungsmethoden, Softwarebeispiele. Vieweg+ Teubner Verlag / GWV Fachverlage GmbH, Wiesbaden, 2009
  8. Schade, H.; Kunz, E.: Strömungslehre. Verlag de Gruyter, Berlin, New York, 2007
  9. Truckenbrodt, E.: Fluidmechanik 1: Grundlagen und elementare Strömungsvorgänge dichtebeständiger Fluide. Springer-Verlag, Berlin, Heidelberg, 2008
  10. Schlichting, H. : Grenzschicht-Theorie. Springer-Verlag, Berlin, 2006
  11. van Dyke, M.: An Album of Fluid Motion. The Parabolic Press, Stanford California, 1882.
  12. White, F.: Fluid Mechanics, Mcgraw-Hill, ISBN-10: 0071311211, ISBN-13: 978-0071311212, 2011

Module M0544: Phase Equilibria Thermodynamics

Courses
Title Typ Hrs/wk CP
Phase Equilibria Thermodynamics (L0114) Lecture 2 2
Phase Equilibria Thermodynamics (L0140) Recitation Section (small) 1 2
Phase Equilibria Thermodynamics (L0142) Recitation Section (large) 1 2
Module Responsible Prof. Irina Smirnova
Admission Requirements None
Recommended Previous Knowledge

Mathematics, Physical Chemistry, Thermodynamics I and II


Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Starting from the very basics of thermodynamics, the students learn the mathematical tools to describe thermodynamic equilibria.
  • They learn how state variables are influenced by the mixing of compounds and learn concepts to quantitatively describe these properties.
  • Moreover, the students learn how phase equilibria can be described mathematically and which phenomena may occur if different phases (vapor, liquid, solid) coexist in equilibrium. Furthermore the fundamentals of reaction equilibria are taught.
  • For different phase equilibria, several examples relevant for different kinds of processes are shown and the necessary knowledge for plotting and interpreting the equilibria are taught.




Skills
  • Applying their knowledge, the students are able to identify the correct equation for the determination of the equilibrium state and know how to simplify these equations meaningfully.
  • The students know models which can be used to determine the properties of the system in the equilibrium state and they are able to solve the resulting mathematical relations.
  • For specific applications, they are able to self-reliantly find necessary physico-chemical properties of compounds as well as model parameters in literature sources.
  • Beside pure compound properties the students are capable of describing the properties of mixtures.
  • The students know how to visualize phase equilibria graphically and they know how to interpret the occurring phenomena.
  • Based on their knowledge, the students are able to understand fundamental concepts that are the basis for many separation and reaction processes in chemical engineering.


Personal Competence
Social Competence The students are able to work in small groups, to solve the corresponding problems and to present them oraly to the tutors and other students
Autonomy
  • The students are able to find necessary information self-reliantly in literature sources and to judge their quality.
  • During the semester the students are able to check their learning progress continuously in exercises. Based on this knowledge the students can adept their learning process.


Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 minutes; theoretical questions and calculations
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Renewable Energy: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Chemical and Bioengineering: Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Bioresource Technology: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Systems: Elective Compulsory
Process Engineering: Core Qualification: Compulsory
Course L0114: Phase Equilibria Thermodynamics
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Irina Smirnova
Language DE
Cycle SoSe
Content


  1. Introduction: Applications of thermodynamics of mixtures
  2. Thermodynamic equations in multi-component systems: Fundamental equations, chemical potential, fugacity
  3. Phase equilibria of pure substances: thermodynamic equilibrium, vapor pressure, Gibbs’ phase rule
  4. Equations of state: virial equations, van-der-Waals equation, generalized equations of state
  5. Mixing properties: ideal and real mixtures, excess properties, partial molar properties
  6. Vapor-liquid-equilibria: binary systems, azeotropes, equilibrium condition
  7. Gas-liquid-equilibria: equilibrium condition, Henry-coefficient
  8. GE-Models: Hildebrand-model, Flory-Huggins-model, Wilson-model, UNIQUAC, UNIFAC
  9. Liquid-liquid-equilibria: equilibrium condition, phase equilibria in binary and ternary systems
  10. Solid-liquid-equilibria: equilibrium condition, binary systems
  11. Chemical reactions: reaction coordinate, mass action law, influence of pressure and temperature
  12. Osmotic pressure
Literature
  • Jürgen Gmehling, Bärbel Kolbe: Thermodynamik. VCH 1992
  • J.M. Prausnitz, R.N. Lichtenthaler, E.G. de Azevedo: Molecular Thermodynamics of Fluid-Phase Equilibria, 3rd ed. Prentice Hall, 1999.
  • J.W. Tester, M. Modell: Thermodynamics and its Applications. 3rd ed. Prentice Hall, 1997.J.P. O´Connell, J.M. Haile: Thermodynamics. Cambridge University Press, 2005.




Course L0140: Phase Equilibria Thermodynamics
Typ Recitation Section (small)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Irina Smirnova
Language DE
Cycle SoSe
Content
  1. Introduction: Applications of thermodynamics of mixtures
  2. Thermodynamic equations in multi-component systems: Fundamental equations, chemical potential, fugacity
  3. Phase equilibria of pure substances: thermodynamic equilibrium, vapor pressure, Gibbs’ phase rule
  4. Equations of state: virial equations, van-der-Waals equation, generalized equations of state
  5. Mixing properties: ideal and real mixtures, excess properties, partial molar properties
  6. Vapor-liquid-equilibria: binary systems, azeotropes, equilibrium condition
  7. Gas-liquid-equilibria: equilibrium condition, Henry-coefficient
  8. GE-Models: Hildebrand-model, Flory-Huggins-model, Wilson-model, UNIQUAC, UNIFAC
  9. Liquid-liquid-equilibria: equilibrium condition, phase equilibria in binary and ternary systems
  10. Solid-liquid-equilibria: equilibrium condition, binary systems
  11. Chemical reactions: reaction coordinate, mass action law, influence of pressure and temperature
  12. Osmotic pressure

The students work on tasks in small groups and present their results in front of all students.

Literature
  • Jürgen Gmehling, Bärbel Kolbe: Thermodynamik. VCH 1992
  • J.M. Prausnitz, R.N. Lichtenthaler, E.G. de Azevedo: Molecular Thermodynamics of Fluid-Phase Equilibria, 3rd ed. Prentice Hall, 1999.
  • J.W. Tester, M. Modell: Thermodynamics and its Applications. 3rd ed. Prentice Hall, 1997.J.P. O´Connell, J.M. Haile: Thermodynamics. Cambridge University Press, 2005.



Course L0142: Phase Equilibria Thermodynamics
Typ Recitation Section (large)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Irina Smirnova
Language DE
Cycle SoSe
Content
  1. Introduction: Applications of thermodynamics of mixtures
  2. Thermodynamic equations in multi-component systems: Fundamental equations, chemical potential, fugacity
  3. Phase equilibria of pure substances: thermodynamic equilibrium, vapor pressure, Gibbs’ phase rule
  4. Equations of state: virial equations, van-der-Waals equation, generalized equations of state
  5. Mixing properties: ideal and real mixtures, excess properties, partial molar properties
  6. Vapor-liquid-equilibria: binary systems, azeotropes, equilibrium condition
  7. Gas-liquid-equilibria: equilibrium condition, Henry-coefficient
  8. GE-Models: Hildebrand-model, Flory-Huggins-model, Wilson-model, UNIQUAC, UNIFAC
  9. Liquid-liquid-equilibria: equilibrium condition, phase equilibria in binary and ternary systems
  10. Solid-liquid-equilibria: equilibrium condition, binary systems
  11. Chemical reactions: reaction coordinate, mass action law, influence of pressure and temperature
  12. Osmotic pressure


Literature
  • Jürgen Gmehling, Bärbel Kolbe: Thermodynamik. VCH 1992
  • J.M. Prausnitz, R.N. Lichtenthaler, E.G. de Azevedo: Molecular Thermodynamics of Fluid-Phase Equilibria, 3rd ed. Prentice Hall, 1999.
  • J.W. Tester, M. Modell: Thermodynamics and its Applications. 3rd ed. Prentice Hall, 1997.J.P. O´Connell, J.M. Haile: Thermodynamics. Cambridge University Press, 2005.


Module M0877: Fundamentals in Molecular Biology

Courses
Title Typ Hrs/wk CP
Genetics and Molecular Biology (L0889) Project-/problem-based Learning 1 1
Genetics and Molecular Biology (L0886) Lecture 2 2
Lab Course in Microbiology and Biochemistry (L0890) Practical Course 3 3
Module Responsible Prof. Johannes Gescher
Admission Requirements None
Recommended Previous Knowledge

Lecture Biochemistry

Lecture Microbiology

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

After successfully finishing this module students are able

  • to give an overview of the basic genetic processes in the cell
  • to explain basic molecularbiological methods
  • to give an overview of -omics strategies
  • to explain genetic differences between pro- and eukaryotes

Skills

Students are able to

  • consider safety measurements when working in the laboratory
  • work sterile
  • cultivate microorganisms aerobically
  • measure enzyme activity
  • identify microorganisms based and physiological assays and 16S rRNA encoding gene sequences
  • apply core knowledge of the lectures "Biochemistry" and "Microbiology" in laboratory experiments
  • scientific poster design and presentation
Personal Competence
Social Competence

Students are able to

  • conduct laboratory experiments in teams
  • write protocols in teams
  • develop solutions for given problems
  • develop and distribute work assignments for given problems
  • present and reflect their specific knowledge in discussions with fellow students and tutors
  • present and discuss their own scientific poster
Autonomy

Students are able to

  • search information for a given problem by themselves
  • prepare summaries of their search results for the team
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes 10 % Subject theoretical and practical work Erstellung und Präsentation eines wissenschaftlichen Posters
Examination Written exam
Examination duration and scale 60 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Chemical and Bioengineering: Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Specialisation Bio Engineering: Compulsory
Course L0889: Genetics and Molecular Biology
Typ Project-/problem-based Learning
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Johannes Gescher
Language DE
Cycle WiSe/SoSe
Content See interlocking course
Literature See interlocking course
Course L0886: Genetics and Molecular Biology
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Johannes Gescher
Language DE
Cycle WiSe/SoSe
Content

- Organisation, structure and function of procaryotic DNA

- DNA replication, transcription, translation

- Regulation of gene expression

- Mechanisms of gene transfer, recombination, transposition

- Mutatuion and DNA repair

- DNA cloning

- DNA sequencing

- Polymerase chain reaction

- Genome sequencing, (meta)genomics, transcriptomics, proteomics


Literature

Rolf Knippers, Molekulare Genetik, Georg Thieme Verlag Stuttgart

Munk, K. (ed.), Genetik, 2010, Thieme Verlag

John Ringo, Genetik kompakt, 2006, Elsevier GmbH, München

T. A. Brown, Gene und Genome, 2007, 3. Aufl., Spektrum Akademischer Verlag,

Jochen Graw, Genetik, Springer Verlag, Berlin Heidelberg 

Course L0890: Lab Course in Microbiology and Biochemistry
Typ Practical Course
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Johannes Gescher, Dr. Paul Bubenheim
Language DE
Cycle WiSe/SoSe
Content

Widespread techniques of microbiological, biochemical and genetic approaches will be taught during this course.

Before the practical conduct of the experiments a colloquium takes place in which the students explain, reflect and discuss the theoretical basics and their translation into practice.

The students write up a report for every experiment. They receive feedback to their level of scientific writing (citation methods, labeling of graphs, etc.), so that they can improve their competence in this field over the course of the practical course.

Topics and Methods of the course include:

- Morphology and growth of different bacteria strains

- Measuring of microbial growth by turbidity

- Preparation of several culture media

- Strain identification by gram staining and analytical profile index (API test)

- Genetic background identification by 16S rRNA analysis

- Microscopy

- BLAST analyses

- Colony PCR procedure

- Enzyme activity measurements and kinetics (Michaelis-Menten equation, Lineweaver-Burk plot)

- Enzymes as biocatalysts (exemplarily use of enzymes in detergents)

- Measurement of protein concentrations (Bradford protein assay)

- Qualitative and quantitative enzyme activity assay

Literature

Brock Mikrobiologie / Brock Microbiology (Michael T. Madigan, John M. Martinko)


Mikrobiologisches Grundpraktikum (Steve K. Alexander, Dennis Strete)

Module M0892: Chemical Reaction Engineering

Courses
Title Typ Hrs/wk CP
Chemical Reaction Engineering (Fundamentals) (L0204) Lecture 2 2
Chemical Reaction Engineering (Fundamentals) (L0244) Recitation Section (large) 2 2
Experimental Course Chemical Engineering (Fundamentals) (L0221) Practical Course 2 2
Module Responsible Prof. Raimund Horn
Admission Requirements None
Recommended Previous Knowledge Contents of the previous modules mathematics I-III, physical chemistry, technical thermodynamics I+II as well as computational methods for engineers.
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge The students are able to explain basic concepts of chemical reaction engineering. They are able to point out differences between thermodynamical and kinetical processes. The students have a strong ability to outline parts of isothermal and non-isothermal ideal reactors and to describe their properties.
Skills

After successful completion of the module, students are able to:

- apply different computational methods to dimension isothermal and non-isothermal ideal reactors,

- determine and compute stable operation points for these reactors ,

- conduct experiments on a lab-scale pilot plants and document these according to scientific guidelines.

Personal Competence
Social Competence After successful completition of the lab-course the students have a strong ability to organize themselfes in small groups to solve issues in chemical reaction engineering. The students can discuss their subject related knowledge among each other and with their teachers.
Autonomy The students are able to obtain further information and assess their relevance autonomously. Students can apply their knowldege discretely to plan, prepare and conduct experiments.
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes None Subject theoretical and practical work
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Bioprocess Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Process Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Chemical and Bioengineering: Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Bioresource Technology: Elective Compulsory
Process Engineering: Core Qualification: Compulsory
Course L0204: Chemical Reaction Engineering (Fundamentals)
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Raimund Horn
Language DE
Cycle WiSe
Content

Fundamentals of chemical reaction engineering, definitions, calculation of species concentrations (reactor, reaction mixture, reactants, products, inerts and solvents, reaction volume, Reaktor volume, chemical reaction, mass, moles, mole fraction, volume, density, molar concentration, mass-concentration, molality, partial pressure, hydrodynamic residence time, space time, extent of reaction, reactor throughput, reactor load, conversion, selectivity, yield, concentration calculations in stationary and flowing multicomponent-mixtures)

Stoichiometry and stoichiometric calculations (simple reactions, complex reactions, key reactions, key species, matrix of stoichiometric coefficients, linear dependent and independent reactions, element-species-matrix, row reduced form of a matrix, rank of a matrix, Gauss Jordan elimination, relation between stoichiometry and kinetics, calculating the extent of reaction from mole number changes in complex reactions)

Thermodynamics (What is thermodynamics?, importance of thermodynamics in chemical reaction engineering, zeroth law of thermodynamics, temperature scales, temperature measurements in praxis, first law of thermodynamics, internal energy, enthalpy, calorimeter, heat of reaction, standard heat of formation, Hess law, heat capacity, Kirchhoff law, standard heat of reaction, pressure dependence of the heat of reaction, second law of thermodynamics, reversible and irreversible processes, entropy, Clausius inequality, free energy, Gibbs Energy, chemical potential, chemical equilibrium, activity, van't Hoff law, calculation of chemical equilibrium, principle of Le Chatelier and Braun, equilibrium calculations in multiple reaction systems, Lagrange Multipliers)

Chemical kinetics (reversible and irreversible reactions, homogeneous and heterogeneous reactions, elementary step, reaction mechanism, microkinetics, macrokinetics, formal kinetics, reaction rate, rate of change of species mole number, Arrhenius-equation, activation energy and pre-exponential factor for komplex reactions, reactions of 0., 1. and 2. order, analytical integration of rate laws, Damköhler-number, differential and integral method of kinetic analysis, laboratory reactors for kinetic measurements, half life, kinetics of complex reactions, parallel reactions, reversible reactions, sequence of reactions, irreversible reaction with pre-equilibrium, reduction of reaction mechanisms, quasi-stationarity principle of Bodenstein, rate limiting step, Michaelis-Menten kinetics, analytical integration of first order differential equations - integrating factor, numerical integration of complex kinetics)

Types of chemical Reaktors (chemical reactors in industry and laboratory, ideal vs. real reaktors, discontinuous, half continuous and continuous reactors, single phase - biphasic- and multiphase reactors, batch-reactor, semi-batch reactor, CSTR, Plug Flow reactor, fixed bed reactor, adiabatic staged reactors, rotating furnaces, fluidized bed reactors, gas-liquid-reactors, multi-phase reactors)

Isothermal ideal reactors (mole-balance of a chemical reactor, mole balance of a batch reactor, integration of the batch reactor mole balance for various kinetics, partial fraction decomposition, mole balance of the semi-batch reactor, mole balance of the plug flow reactor, analogy batch reactor - plug flow reactor, design of plug flow reactors for reactions with volume change and complex reactions, mole balance of a fixed bed reactor, design of a membrane reactor, mole balance of a continuously stirred tank reactor, comparison of CSTR and PFR with respect to conversion and selectivity, mole-balance of a cascade of tank reactors, numerical-interative calculation of a cascade of tank reactors, Newton-Raphson method, graphical analysis of a cascade of tank reactors)

non-isothermal ideal reactors (energy balance of a reactor, adiabatic reactor, adiabatic temperature rise, staged reactor for adiabatic exothermic reactions limited by chemical equilibrium, design of an adiabatic plug flow reactor, Levenspiel-plots, heat transfer through a reactor wall, heat transfer by convection, heat conduction, heat transfer through a cylindrical wall, design of a plug flow reactor in parallel and counter flow, heat balance of the cooling fluid, CSTR with heat exchange, multiple stationary states, ignition-extinction behavior, stability of a CSTR, complex reactions in non-isothermal reactors, optimum temperature profile of a reactor)

Literature

lecture notes Raimund Horn

skript Frerich Keil

Books:

M. Baerns, A. Behr, A. Brehm, J. Gmehling, H. Hofmann, U. Onken, A. Renken, Technische Chemie, Wiley-VCH

G. Emig, E. Klemm, Technische Chemie, Springer

A. Behr, D. W. Agar, J. Jörissen, Einführung in die Technische Chemie 

E. Müller-Erlwein, Chemische Reaktionstechnik 2012, 2. Auflage, Teubner Verlag

J. Hagen, Chemiereaktoren: Auslegung und Simulation, 2004, Wiley-VCH

H. S. Fogler, Elements of Chemical Reaction Engineering, Prentice Hall B

H. S. Fogler, Essentials of Chemical Reaction Engineering, Prentice Hall

O. Levenspiel, Chemical Reaction Engineering, John Wiley & Sons, 1998 

L. D. Schmidt, The Engineering of Chemical Reactions, Oxford Univ. Press, 2009

J. B. Butt, Reaction Kinetics and Reactor Design, 2000, Marcel Dekker

R. Aris, Elementary Chemical Reactor Analysis, Dover Pubn. Inc., 2000

M. E. Davis, R. J. Davis, Fundamentals of Chemical Reaction Engineering, McGraw Hill

G. F. Froment, K. B. Bischoff, J. De Wilde, Chemical Reactor Analysis and Design, John Wiley & Sons, 2010

A. Jess, P. Wasserscheid, Chemical Technology  An Integrated Textbook, WILEY-VCH 



Course L0244: Chemical Reaction Engineering (Fundamentals)
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Raimund Horn, Dr. Oliver Korup
Language DE
Cycle WiSe
Content

Fundamentals of chemical reaction engineering, definitions, calculation of species concentrations (reactor, reaction mixture, reactants, products, inerts and solvents, reaction volume, Reaktor volume, chemical reaction, mass, moles, mole fraction, volume, density, molar concentration, mass-concentration, molality, partial pressure, hydrodynamic residence time, space time, extent of reaction, reactor throughput, reactor load, conversion, selectivity, yield, concentration calculations in stationary and flowing multicomponent-mixtures)

Stoichiometry and stoichiometric calculations (simple reactions, complex reactions, key reactions, key species, matrix of stoichiometric coefficients, linear dependent and independent reactions, element-species-matrix, row reduced form of a matrix, rank of a matrix, Gauss Jordan elimination, relation between stoichiometry and kinetics, calculating the extent of reaction from mole number changes in complex reactions)

Thermodynamics (What is thermodynamics?, importance of thermodynamics in chemical reaction engineering, zeroth law of thermodynamics, temperature scales, temperature measurements in praxis, first law of thermodynamics, internal energy, enthalpy, calorimeter, heat of reaction, standard heat of formation, Hess law, heat capacity, Kirchhoff law, standard heat of reaction, pressure dependence of the heat of reaction, second law of thermodynamics, reversible and irreversible processes, entropy, Clausius inequality, free energy, Gibbs Energy, chemical potential, chemical equilibrium, activity, van't Hoff law, calculation of chemical equilibrium, principle of Le Chatelier and Braun, equilibrium calculations in multiple reaction systems, Lagrange Multipliers)

Chemical kinetics (reversible and irreversible reactions, homogeneous and heterogeneous reactions, elementary step, reaction mechanism, microkinetics, macrokinetics, formal kinetics, reaction rate, rate of change of species mole number, Arrhenius-equation, activation energy and pre-exponential factor for komplex reactions, reactions of 0., 1. and 2. order, analytical integration of rate laws, Damköhler-number, differential and integral method of kinetic analysis, laboratory reactors for kinetic measurements, half life, kinetics of complex reactions, parallel reactions, reversible reactions, sequence of reactions, irreversible reaction with pre-equilibrium, reduction of reaction mechanisms, quasi-stationarity principle of Bodenstein, rate limiting step, Michaelis-Menten kinetics, analytical integration of first order differential equations - integrating factor, numerical integration of complex kinetics)

Types of chemical Reaktors (chemical reactors in industry and laboratory, ideal vs. real reaktors, discontinuous, half continuous and continuous reactors, single phase - biphasic- and multiphase reactors, batch-reactor, semi-batch reactor, CSTR, Plug Flow reactor, fixed bed reactor, adiabatic staged reactors, rotating furnaces, fluidized bed reactors, gas-liquid-reactors, multi-phase reactors)

Isothermal ideal reactors (mole-balance of a chemical reactor, mole balance of a batch reactor, integration of the batch reactor mole balance for various kinetics, partial fraction decomposition, mole balance of the semi-batch reactor, mole balance of the plug flow reactor, analogy batch reactor - plug flow reactor, design of plug flow reactors for reactions with volume change and complex reactions, mole balance of a fixed bed reactor, design of a membrane reactor, mole balance of a continuously stirred tank reactor, comparison of CSTR and PFR with respect to conversion and selectivity, mole-balance of a cascade of tank reactors, numerical-interative calculation of a cascade of tank reactors, Newton-Raphson method, graphical analysis of a cascade of tank reactors)

non-isothermal ideal reactors (energy balance of a reactor, adiabatic reactor, adiabatic temperature rise, staged reactor for adiabatic exothermic reactions limited by chemical equilibrium, design of an adiabatic plug flow reactor, Levenspiel-plots, heat transfer through a reactor wall, heat transfer by convection, heat conduction, heat transfer through a cylindrical wall, design of a plug flow reactor in parallel and counter flow, heat balance of the cooling fluid, CSTR with heat exchange, multiple stationary states, ignition-extinction behavior, stability of a CSTR, complex reactions in non-isothermal reactors, optimum temperature profile of a reactor)

Literature

lecture notes Raimund Horn

skript Frerich Keil

Books:

M. Baerns, A. Behr, A. Brehm, J. Gmehling, H. Hofmann, U. Onken, A. Renken, Technische Chemie, Wiley-VCH

G. Emig, E. Klemm, Technische Chemie, Springer

A. Behr, D. W. Agar, J. Jörissen, Einführung in die Technische Chemie 

E. Müller-Erlwein, Chemische Reaktionstechnik 2012, 2. Auflage, Teubner Verlag

J. Hagen, Chemiereaktoren: Auslegung und Simulation, 2004, Wiley-VCH

H. S. Fogler, Elements of Chemical Reaction Engineering, Prentice Hall B

H. S. Fogler, Essentials of Chemical Reaction Engineering, Prentice Hall

O. Levenspiel, Chemical Reaction Engineering, John Wiley & Sons, 1998 

L. D. Schmidt, The Engineering of Chemical Reactions, Oxford Univ. Press, 2009

J. B. Butt, Reaction Kinetics and Reactor Design, 2000, Marcel Dekker

R. Aris, Elementary Chemical Reactor Analysis, Dover Pubn. Inc., 2000

M. E. Davis, R. J. Davis, Fundamentals of Chemical Reaction Engineering, McGraw Hill

G. F. Froment, K. B. Bischoff, J. De Wilde, Chemical Reactor Analysis and Design, John Wiley & Sons, 2010

A. Jess, P. Wasserscheid, Chemical Technology  An Integrated Textbook, WILEY-VCH 

Course L0221: Experimental Course Chemical Engineering (Fundamentals)
Typ Practical Course
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Raimund Horn
Language DE/EN
Cycle SoSe
Content

Performing and evaluation of experiments concerning chemical reaction engineering with emphasis on ideal reactors:

* Batch reactor - Estimation of kinetic parameters for the saponification of ethylacetate

*CSTR - Residence time distribution, reaction

*CSTR in Series - Residence time distribution, reaction

* Plug Flow Reactor - Residence time distribution, reaction

Before the practical conduct of the experiments a colloquium takes place in which the students explain, reflect and discuss the theoretical basics and their translation into practice.

The students write up a report for every experiment. They receive feedback to their level of scientific writing (citation methods, labeling of graphs, etc.), so that they can improve their competence in this field over the course of the practical course.




Literature

Levenspiel, O.: Chemical reaction engineering; John Wiley & Sons, New York, 3. Ed., 1999 VTM 309(LB)

Praktikumsskript

Skript Chemische Verfahrenstechnik 1 (F.Keil)



Module M1764: Bioprocess Technology I

Courses
Title Typ Hrs/wk CP
Bioprocess Technology I (L2906) Lecture 2 2
Bioprocess Technology I (L2907) Recitation Section (large) 2 2
Bioprocess Technology I - Fundamental Practical Course (L2908) Practical Course 2 2
Module Responsible Prof. Andreas Liese
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
Skills
Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Chemical and Bioengineering: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Course L2906: Bioprocess Technology I
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Andreas Liese
Language DE
Cycle WiSe
Content
Literature
Course L2907: Bioprocess Technology I
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Andreas Liese
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L2908: Bioprocess Technology I - Fundamental Practical Course
Typ Practical Course
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Andreas Liese
Language DE
Cycle WiSe
Content
Literature

Module M0546: Thermal Separation Processes

Courses
Title Typ Hrs/wk CP
Thermal Separation Processes (L0118) Lecture 2 2
Thermal Separation Processes (L0119) Recitation Section (small) 2 2
Thermal Separation Processes (L0141) Recitation Section (large) 1 1
Separation Processes (L1159) Practical Course 1 1
Module Responsible Prof. Irina Smirnova
Admission Requirements None
Recommended Previous Knowledge Recommended requirements: Thermodynamics III


Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • The students can distinguish and describe different types of separation processes such as distillation, extraction, and adsorption
  • The students develop an understanding for the course of concentration during a separation process, the estimation of the energy demand of a process, the possibilities of energy saving, and the selection of separation systems
  • They have good knowledge of designing methods for separation processes and devices



Skills
  • Using the gained knowledge the students can select a reasonable system boundary for a given separation process and can close the associated energy and material balances
  • The students can use different graphical methods for the designing of a separation process and define the amount of theoretical stages required
  • They can select and design a basic type of thermal separation process for a given case based on the advantages and disadvantages of the process
  • The students are capable to obtain independently the needed material properties from appropriate sources (diagrams and tables)
  • They can calculate continuous and discontinuous processes
  • The students are able to prove their theoretical knowledge in the experimental lab work.
  • The students are able to discuss the theoretical background and the content of the experimental work with the teachers in colloquium.

The students are capable of linking their gained knowledge with the content of other lectures and use it together for the solution of technical problems. Other lectures such as thermodynamics, fluid mechanics and chemical engineering.


Personal Competence
Social Competence
  • The students can work technical assignments in small groups and present the combined results in the tutorial

  • The students are able to carry out practical lab work in small groups and organize a functional division of labor between them. They are able to discuss their results and to document them scientifically in a report.
Autonomy
  • The students are capable to obtain the needed information from suitable sources by themselves and assess their quality
  • The students can proof the state of their knowledge with exam resembling assignments and in this way control their learning process


Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 minutes; theoretical questions and calculations
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Renewable Energy: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Renewable Energy: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Bioprocess Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Process Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Chemical and Bioengineering: Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Energy and Environmental Engineering: Core Qualification: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Systems: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Bioresource Technology: Elective Compulsory
Process Engineering: Core Qualification: Compulsory
Course L0118: Thermal Separation Processes
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Irina Smirnova
Language DE
Cycle WiSe
Content
  • Introduction in the thermal process engineering and to the main features of separation processes
  • Simple equilibrium processes, several steps processes
  • Distillation of binary mixtures, enthalpy-concentration diagrams
  • Extractive and azeotrope distillation, water vapor distillation, stepwise distillation
  • Extraction: separation ternary systems, ternary diagram
  • Multiphase separation including complex mixtures
  • Designing of separation devices without discrete stages
  • Drying
  • Chromatographic separation processes
  • Membrane separation
  • Energy demand of separation processes
  • Advance overview of separation processes
  • Selection of separation processes


Literature
  • G. Brunner: Skriptum Thermische Verfahrenstechnik
  • J. King: Separation Processes, McGraw-Hill, 2. Aufl. 1980
  • Sattler: Thermische Trennverfahren, VCH, Weinheim 1995
  • J.D. Seader, E.J. Henley: Separation Process Principles, Wiley, New York, 1998.
  • Mersmann: Thermische Verfahrenstechnik, Springer, 1980
  • Grassmann, Widmer, Sinn: Einführung in die Thermische Verfahrenstechnik, 3. Aufl., Walter de Gruyter, Berlin 1997
  • Brunner, G.: Gas extraction. An introduction to fundamentals of supercritical fluids and the application to separation processes. Steinkopff, Darmstadt; Springer, New York; 1994. ISBN 3-7985-0944-1 ; ISBN 0-387-91477-3 .
  • R. Goedecke (Hrsg.): Fluid-Verfahrenstechnik, Wiley-VCH Verlag, Weinheim, 2006.
    • Perry"s Chemical Engineers" Handbook, R.H. Perry, D.W. Green, J.O. Maloney (Hrsg.), 6th ed., McGraw-Hill, New York 1984 Ullmann"s Enzyklopädie der Technischen Chemie


Course L0119: Thermal Separation Processes
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Irina Smirnova
Language DE
Cycle WiSe
Content
  • Introduction in the thermal process engineering and to the main features of separation processes
  • Simple equilibrium processes, several steps processes
  • Distillation of binary mixtures, enthalpy-concentration diagrams
  • Extractive and azeotrope distillation, water vapor distillation, stepwise distillation
  • Extraction: separation ternary systems, ternary diagram
  • Multiphase separation including complex mixtures
  • Designing of separation devices without discrete stages
  • Drying
  • Chromatographic separation processes
  • Membrane separation
  • Energy demand of separation processes
  • Advance overview of separation processes
  • Selection of separation processes

The students work on tasks in small groups and present their results in front of all students.

Literature
  • G. Brunner: Skriptum Thermische Verfahrenstechnik
  • J. King: Separation Processes, McGraw-Hill, 2. Aufl. 1980
  • Sattler: Thermische Trennverfahren, VCH, Weinheim 1995
  • J.D. Seader, E.J. Henley: Separation Process Principles, Wiley, New York, 1998.
  • Mersmann: Thermische Verfahrenstechnik, Springer, 1980
  • Grassmann, Widmer, Sinn: Einführung in die Thermische Verfahrenstechnik, 3. Aufl., Walter de Gruyter, Berlin 1997
  • Brunner, G.: Gas extraction. An introduction to fundamentals of supercritical fluids and the application to separation processes. Steinkopff, Darmstadt; Springer, New York; 1994. ISBN 3-7985-0944-1 ; ISBN 0-387-91477-3 .
  • R. Goedecke (Hrsg.): Fluid-Verfahrenstechnik, Wiley-VCH Verlag, Weinheim, 2006.
  • Perry"s Chemical Engineers" Handbook, R.H. Perry, D.W. Green, J.O. Maloney (Hrsg.), 6th ed., McGraw-Hill, New York 1984 Ullmann"s Enzyklopädie der Technischen Chemie


Course L0141: Thermal Separation Processes
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Irina Smirnova
Language DE
Cycle WiSe
Content
  • Introduction in the thermal process engineering and to the main features of separation processes
  • Simple equilibrium processes, several steps processes
  • Distillation of binary mixtures, enthalpy-concentration diagrams
  • Extractive and azeotrope distillation, water vapor distillation, stepwise distillation
  • Extraction: separation ternary systems, ternary diagram
  • Multiphase separation including complex mixtures
  • Designing of separation devices without discrete stages
  • Drying
  • Chromatographic separation processes
  • Membrane separation
  • Energy demand of separation processes
  • Advance overview of separation processes
  • Selection of separation processes


Literature
  • G. Brunner: Skriptum Thermische Verfahrenstechnik
  • J. King: Separation Processes, McGraw-Hill, 2. Aufl. 1980
  • Sattler: Thermische Trennverfahren, VCH, Weinheim 1995
  • J.D. Seader, E.J. Henley: Separation Process Principles, Wiley, New York, 1998.
  • Mersmann: Thermische Verfahrenstechnik, Springer, 1980
  • Grassmann, Widmer, Sinn: Einführung in die Thermische Verfahrenstechnik, 3. Aufl., Walter de Gruyter, Berlin 1997
  • Brunner, G.: Gas extraction. An introduction to fundamentals of supercritical fluids and the application to separation processes. Steinkopff, Darmstadt; Springer, New York; 1994. ISBN 3-7985-0944-1 ; ISBN 0-387-91477-3 .
  • R. Goedecke (Hrsg.): Fluid-Verfahrenstechnik, Wiley-VCH Verlag, Weinheim, 2006.
  • Perry"s Chemical Engineers" Handbook, R.H. Perry, D.W. Green, J.O. Maloney (Hrsg.), 6th ed., McGraw-Hill, New York 1984 Ullmann"s Enzyklopädie der Technischen Chemie


Course L1159: Separation Processes
Typ Practical Course
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Irina Smirnova
Language DE/EN
Cycle WiSe
Content

The students work on eight different experiments in this practical course. For every one of the eight experiments, a colloquium takes place in which the students explain and discuss the theoretical background and its translation into practice with staff and fellow students.

The students work small groups with a high degree of division of labor. For every experiment, the students write a report. They receive instructions in terms of scientific writing as well as feedback on their own reports and level of scientific writing so they can increase their capabilities in this area.

Topics of the practical course:

  • Introduction in the thermal process engineering and to the main features of separation processes
  • Simple equilibrium processes, several steps processes
  • Distillation of binary mixtures, enthalpy-concentration diagrams
  • Extractive and azeotrope distillation, water vapor distillation, stepwise distillation
  • Extraction: separation ternary systems, ternary diagram
  • Multiphase separation including complex mixtures
  • Designing of separation devices without discrete stages
  • Drying
  • Chromatographic separation processes
  • Membrane separation
  • Energy demand of separation processes
  • Advance overview of separation processes
  • Selection of separation processes


Literature
  • G. Brunner: Skriptum Thermische Verfahrenstechnik
  • J. King: Separation Processes, McGraw-Hill, 2. Aufl. 1980
  • Sattler: Thermische Trennverfahren, VCH, Weinheim 1995
  • J.D. Seader, E.J. Henley: Separation Process Principles, Wiley, New York, 1998.
  • Mersmann: Thermische Verfahrenstechnik, Springer, 1980
  • Grassmann, Widmer, Sinn: Einführung in die Thermische Verfahrenstechnik, 3. Aufl., Walter de Gruyter, Berlin 1997
  • Brunner, G.: Gas extraction. An introduction to fundamentals of supercritical fluids and the application to separation processes. Steinkopff, Darmstadt; Springer, New York; 1994. ISBN 3-7985-0944-1 ; ISBN 0-387-91477-3 .
  • R. Goedecke (Hrsg.): Fluid-Verfahrenstechnik, Wiley-VCH Verlag, Weinheim, 2006.
  • Perry"s Chemical Engineers" Handbook, R.H. Perry, D.W. Green, J.O. Maloney (Hrsg.), 6th ed., McGraw-Hill, New York 1984 Ullmann"s Enzyklopädie der Technischen Chemie


Module M0538: Heat and Mass Transfer

Courses
Title Typ Hrs/wk CP
Heat and Mass Transfer (L0101) Lecture 2 2
Heat and Mass Transfer (L0102) Recitation Section (small) 1 2
Heat and Mass Transfer (L1868) Recitation Section (large) 1 2
Module Responsible Prof. Irina Smirnova
Admission Requirements None
Recommended Previous Knowledge

Basic knowledge: Technical Thermodynamics


Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • The students are capable of explaining qualitative and determining quantitative heat transfer in procedural apparatus (e. g. heat exchanger, chemical reactors).
  • They are capable of distinguish and characterize different kinds of heat transfer mechanisms namely heat conduction, heat transfer and thermal radiation.
  • The students have the ability to explain the physical basis for mass transfer in detail and to describe mass transfer qualitative and quantitative by using suitable mass transfer theories.
  • They are able to depict the analogy between heat- and mass transfer and to describe complex linked processes in detail.



Skills
  • The students are able to set reasonable system boundaries for a given transport problem by using the gained knowledge and to balance the corresponding energy and mass flow, respectively.
  • They are capable to solve specific heat transfer problems (e.g. heated chemical reactors, temperature alteration in fluids) and to calculate the corresponding heat flows.
  • Using dimensionless quantities, the students can execute scaling up of technical processes or apparatus.
  • They are able to distinguish between diffusion, convective mass transition and mass transfer. They can use this knowledge for the description and design of apparatus (e.g. extraction column, rectification column).
  • In this context, the students are capable to choose and design fundamental types of heat and mass exchanger for a specific application considering their advantages and disadvantages, respectively.
  • In addition, they can calculate both, steady-state and non-steady-state processes in procedural apparatus.
  •  The students are capable to connect their knowledge obtained in this course  with knowlegde of other courses (In particular the courses thermodynamics, fluid mechanics and chemical process engineering) to solve concrete technical problems.


Personal Competence
Social Competence
  • The students are capable to work on subject-specific challenges in teams and to present the results orally in a reasonable manner to tutors and other students.


Autonomy
  • The students are able to find and evaluate necessary information from suitable sources
  • They are able to prove their level of knowledge during the course with accompanying procedure continuously (clicker-system, exam-like assignments) and on this basis they can control their learning processes.


Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 minutes; theoretical questions and calculations
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Green Technologies: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Bioprocess Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Process Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Chemical and Bioengineering: Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Energy and Environmental Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Process Engineering: Core Qualification: Compulsory
Course L0101: Heat and Mass Transfer
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Irina Smirnova
Language DE
Cycle WiSe
Content
  1. Heat transfer
    • Introduction, one-dimensional heat conduction
    • Convective heat transfer
    • Multidimensional heat conduction
    • Non-steady heat conduction
    • Thermal radiation
  2. Mass transfer
    • one-way diffusion, equimolar countercurrent diffusion
    • boundary layer theory, non-steady mass transfer
    • Heat and mass transfer single particle/ fixed bed
    • Mass transfer and chemical reactions

Literature
  1. H.D. Baehr und K. Stephan: Wärme- und Stoffübertragung, Springer
  2. VDI-Wärmeatlas



Course L0102: Heat and Mass Transfer
Typ Recitation Section (small)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Irina Smirnova
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L1868: Heat and Mass Transfer
Typ Recitation Section (large)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Irina Smirnova
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1762: Material Engineering

Courses
Title Typ Hrs/wk CP
Material Engineering (L2894) Lecture 2 3
Module Responsible Dr. Marko Hoffmann
Admission Requirements None
Recommended Previous Knowledge
  • General and Inorganic Chemistry
  • Phase Equilibria Thermodynamics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

A basic knowledge of materials science is necessary for the design of process plants and apparatus with the associated piping. This module therefore focuses on ferrous materials, although polymer materials and ceramics are also covered. A basic understanding of atomic structure, microstructure, phase transformation, diffusion, state diagrams, and alloy formation, among other things, is necessary for materials selection and for the evaluation of corrosion and wear processes, which students should acquire in this one-semester module. Students will also have basic knowledge in the area of mechanical properties of materials including the essential methods of materials testing and the corrosion processes that are very relevant in practice. In addition, students gain knowledge of the main types of steel used in process engineering and knowledge of the most important heat treatment processes of steels in practice in the context of time-temperature transformation diagrams (TTT diagrams).

Skills

Students will be able to select suitable materials for the design of process plants and apparatus. Mechanical properties such as strength, ductility, toughness and fatigue strength are taken into account. Students can also specify measures to increase corrosion resistance. In addition to specifying strength-increasing measures, students may select other measures to modify mechanical properties, such as heat treatment processes.

Personal Competence
Social Competence

The students are able to work out results in groups and document them, provide appropriate feedback and handle feedback on their own performance constructively.

Autonomy

Students are able to independently assess their level of learning and reflect on their weaknesses and strengths in the field of materials engineering. Students are also able to independently seek out information from subject-specific publications and relate this to the context of the course, e.g. when selecting a material for a process engineering apparatus.

Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Credit points 3
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Chemical and Bioengineering: Compulsory
Chemical and Bioprocess Engineering: Specialisation Chemical Engineering: Compulsory
Chemical and Bioprocess Engineering: Specialisation Bio Engineering: Elective Compulsory
Course L2894: Material Engineering
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr. Marko Hoffmann
Language DE
Cycle WiSe
Content
  • Introduction
  • Atomic structure and bonding
  • Structure of solids
  • Miller indices
  • Imperfections in solids
  • Texture
  • Diffusion
  • Mechanical properties
  • Dislocations and strengthening mechanisms
  • Phase transformations
  • Phase diagrams, iron-carbon phase diagram
  • Metallic materials
  • Corrosion
  • Polymeric materials
  • Ceramic materials
Literature
  • Bargel, H.-J.; Schulze, G. (Hrsg.): Werkstoffkunde. Berlin u.a., Springer Vieweg, 2012.
  • Bergmann, W.: Werkstofftechnik 1. München u.a., Hanser, 2009.
  • Bergmann, W.: Werkstofftechnik 2. München u.a., Hanser, 2008.
  • Callister, W. D.; Rethwisch, D. G.: Materialwissenschaften und Werkstofftechnik: eine Einführung, Übersetzungshrsg.: Scheffler, M., 1. Auflage, Weinheim, Wiley-VCH, 2013.
  • Seidel, W. W.,Hahn, F.: Werkstofftechnik. München u.a., Hanser, 2012.

Module M0670: Particle Technology and Solids Process Engineering

Courses
Title Typ Hrs/wk CP
Particle Technology I (L0434) Lecture 2 3
Particle Technology I (L0435) Recitation Section (small) 1 1
Particle Technology I (L0440) Practical Course 2 2
Module Responsible Prof. Stefan Heinrich
Admission Requirements None
Recommended Previous Knowledge keine
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

After successful completion of the module students are able to

  • name and explain  processes and unit-operations of solids process engineering,
  • characterize particles, particle distributions and to discuss their bulk properties


Skills

Students are able to

  • choose and design apparatuses and processes for solids processing according to the desired solids properties of the product
  • asses solids with respect to their behavior in solids processing steps
  • document their work scientifically.
Personal Competence
Social Competence The students are able to discuss scientific topics orally with other students or scientific personal and to develop solutions for technical-scientific issues in a group.
Autonomy

Students are able to analyze and solve questions regarding solid particles independently.

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes None Written elaboration sechs Berichte (pro Versuch ein Bericht) à 5-10 Seiten
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Water and Environmental Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Bioprocess Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Process Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Chemical and Bioengineering: Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Energy and Environmental Engineering: Core Qualification: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Water: Elective Compulsory
Process Engineering: Core Qualification: Compulsory
Course L0434: Particle Technology I
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Stefan Heinrich
Language DE
Cycle SoSe
Content
  • Description of particles and particle distributions
  • Description of a separation process
  • Description of a particle mixture
  • Particle size reduction
  • Agglomeration, particle size enlargement
  • Storage and flow of bulk solids
  • Basics of fluid/particle flows
  • classifying processes
  • Separation of particles from fluids
  • Basic fluid mechanics of fluidized beds
  • Pneumatic and hydraulic transport


Literature

Schubert, H.; Heidenreich, E.; Liepe, F.; Neeße, T.: Mechanische Verfahrenstechnik. Deutscher Verlag für die Grundstoffindustrie, Leipzig, 1990.

Stieß, M.: Mechanische Verfahrenstechnik I und II. Springer Verlag, Berlin, 1992.


Course L0435: Particle Technology I
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Stefan Heinrich
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L0440: Particle Technology I
Typ Practical Course
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Stefan Heinrich
Language DE/EN
Cycle SoSe
Content
  • Sieving
  • Bulk properties
  • Size reduction
  • Mixing
  • Gas cyclone
  • Blaine-test, filtration
  • Sedimentation


Literature

Schubert, H.; Heidenreich, E.; Liepe, F.; Neeße, T.: Mechanische Verfahrenstechnik. Deutscher Verlag für die Grundstoffindustrie, Leipzig, 1990.

Stieß, M.: Mechanische Verfahrenstechnik I und II. Springer Verlag, Berlin, 1992.


Module M0539: Process and Plant Engineering I

Courses
Title Typ Hrs/wk CP
Process and Plant Engineering I (L0095) Lecture 2 4
Process and Plant Engineering I (L0096) Recitation Section (large) 1 1
Process and Plant Engineering I (L1214) Recitation Section (small) 1 1
Module Responsible Prof. Mirko Skiborowski
Admission Requirements None
Recommended Previous Knowledge

unit operation of thermal an dmechanical separation processes

chemical reactor eingineering

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

students can:

classify and formulate blobal balance equations of chemical processes

specify linear component equations of complex chemical processes

explain linear regression and data reconcilliation problems

explain pfd-diagrams

Skills

students are capable of

- formulation of mass and energy balance equations and estimation of product streams

- estimation of component streams of chemical plants using linear component balance models

- solution of data reconcilliation tasks

- conduction of process synthesis

- economic evaluation of processes and the estimation of production costs

Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes 10 % Subject theoretical and practical work
Examination Written exam
Examination duration and scale 120 Min. lectures notes and books
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Bioprocess Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Process Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Chemical and Bioengineering: Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Bioresource Technology: Elective Compulsory
Process Engineering: Core Qualification: Compulsory
Course L0095: Process and Plant Engineering I
Typ Lecture
Hrs/wk 2
CP 4
Workload in Hours Independent Study Time 92, Study Time in Lecture 28
Lecturer Prof. Mirko Skiborowski
Language DE
Cycle SoSe
Content
  1. Introduction
    Structure and operation of production plants
    Operational business process
    Technical process design
    Motivation and targets of process development
    Life cycle of production plants
  2. Engineering methods and tools
    Mass and energy balances
    Strategies of  process synthesis
    Graphical representation of processes
    Multidimensional regression
    Data reconciliation and data validation
  3. Process Synthesis
    Decision levels
    Experimental process development
    Reactor synthesis
    Synthesis of separation processes (process alternatives and criteria for selection)
    Integration of reaction systems/separation systems (interactions, recycle streams)
  4. Process safety
  5. Cost estimation of production plants
    Production costs, capital costs, economic evaluation


Literature

S.D. Barnicki, J.R. Fair, Ind. End. Chem., 29(1990), S. 421, Ind. End. Chem., 31(1992), S. 1679

H. Becker, S. Godorr, H. Kreis, Chemical Engineering, January 2001, S. 68-74

Behr, W. Ebbers, N. Wiese, Chem. -Ing.-Tech. 72(2000)Nr. 10, S.1157

E. Blass, Entwicklung verfahrenstechnischer Prozesse, Springer-Verlag, 2. Auflage 1997

M. H. Bauer, J. Stichlmair, Chem.-Ing.-Tech., 68(1996), Nr. 8, 911-916

R. Dittmeyer, W. Keim, G. Kreysa, A. Oberholz, Chemische Technik. Prozesse und Produkte,

     Band 2, Neue Technologien, 5. Auflage, Wiley-VCH GmbH&Co.KGaA, Weinheim, 2004

J.M. Douglas, Conceptual Design of Chemical Processes, Mc Graw-Hill, NY, 1988

G. Fieg, Inz. Chem. Proc., 5(1979), S.15-19

G. Fieg, G. Wozny, L. Jeromin, Chem. Eng. Technol. 17(1994),5, 301-306

G. Fieg, Heat and Mass Transfer 32(1996), S. 205-213

G. Fieg, Chem. Eng. Processing, Vol. 41/2(2001), S. 123-133

U.H. Felcht, Chemie eine reife Industrie oder weiterhin Innovationsmotor, Universitätsbuchhandlung Blazek und Bergamann, Frankfurt, 2000

J.P. van Gigch, Systems Design, Modeling and Metamodeling, Plenum Press, New York, 1991

T.F. Edgar, D.M. Himmelblau, L.S. Lasdon, Optimization of Chemical Processes, McGraw-Hill, 2001

G. Gruhn, Vorlesungsmanuskript „Prozess- und Anlagentechnik, TU Hamburg-Harburg

D. Hairston, Chemical Engineering, October 2001, S. 31-37

J.L.A. Koolen, Design of Simple and Robust Process Plants, Wiley-VCH, Weinheim, 2002

J. Krekel, G. Siekmann, Chem. -Ing.-Tech. 57(1985)Nr. 6, S. 511

K. Machej, G. Fieg, J. Wojcik, Inz. Chem. Proc., 2(1981), S.815-824

S. Meier, G. Kaibel, Chem. -Ing.-Tech. 62(1990)Nr. 13, S.169

J. Mittelstraß, Chem. -Ing.-Tech. 66(1994), S. 309

P. Li, M. Flender, K. Löwe, G. Wozny, G. Fieg, Fett/Lipid 100(1998), Nr. 12, S. 528-534

G. Kaibel, Dissertation, TU München, 1987

G. Kaibel, Chem.-Ing.-Tech. 61 (1989), Nr. 2, S. 104-112

G. Kaibel, Chem. Eng. Technol., 10(1987), Nr. 2, S. 92-98

H.J. Lang, Chem. Eng. 54(10),117, 1947

H.J. Lang, Chem. Eng. 55(6), 112, 1948

F. Lestak, C. Collins, Chemical Engineering, July 1997, S. 72-76

Course L0096: Process and Plant Engineering I
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Mirko Skiborowski, Dr. Thomas Waluga
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L1214: Process and Plant Engineering I
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Mirko Skiborowski, Dr. Thomas Waluga
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Specialization Electrical Engineering

The educational objective of the General Engineering Science BSc program’s electrical engineering specialization is to develop the ability to choose and combine fundamental methods and processes in order to solve technical tasks in engineering science and, especially, the specialization subject.

Graduates will have

1 ) A firm grounding in mathematics, physics, electrical engineering, and computer science

2) A basic knowledge of systems theory, control systems, and electrical power and energy or measurement technology

3) In-depth knowledge of engineering science areas, especially their specialization area (electrical engineering materials and components, semiconductor technology, communications engineering, electromagnetig theory). They will, in particular, have the methodological skills required for applying their knowledge to the solution of technical problems, taking technical, economic and societal requirements into account.

Module M0708: Electrical Engineering III: Circuit Theory and Transients

Courses
Title Typ Hrs/wk CP
Circuit Theory (L0566) Lecture 3 4
Circuit Theory (L0567) Recitation Section (small) 2 2
Module Responsible Prof. Alexander Kölpin
Admission Requirements None
Recommended Previous Knowledge

Electrical Engineering I and II, Mathematics I and II


Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to explain the basic methods for calculating electrical circuits. They know the Fourier series analysis of linear networks driven by periodic signals. They know the methods for transient analysis of linear networks in time and in frequency domain, and they are able to explain the frequency behaviour and the synthesis of passive two-terminal-circuits.


Skills

The students are able to calculate currents and voltages in linear networks by means of basic methods, also when driven by periodic signals. They are able to calculate transients in electrical circuits in time and frequency domain and are able to explain the respective transient behaviour. They are able to analyse and to synthesize the frequency behaviour of passive two-terminal-circuits.


Personal Competence
Social Competence

Students work on exercise tasks in small guided groups. They are encouraged to present and discuss their results within the group.


Autonomy

The students are able to find out the required methods for solving the given practice problems. Possibilities are given to test their knowledge during the lectures continuously by means of short-time tests. This allows them to control independently their educational objectives. They can link their gained knowledge to other courses like Electrical Engineering I and Mathematics I.


Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 150 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Compulsory
Electrical Engineering: Core Qualification: Compulsory
Engineering Science: Specialisation Electrical Engineering: Compulsory
Computer Science in Engineering: Specialisation II. Mathematics & Engineering Science: Elective Compulsory
Mechatronics: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0566: Circuit Theory
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Alexander Kölpin, Dr. Fabian Lurz
Language DE
Cycle WiSe
Content

- Circuit theorems

- N-port circuits

- Periodic excitation of linear circuits

- Transient analysis in time domain

- Transient analysis in frequency domain; Laplace Transform

- Frequency behaviour of passive one-ports


Literature

- M. Albach, "Grundlagen der Elektrotechnik 1", Pearson Studium (2011)

- M. Albach, "Grundlagen der Elektrotechnik 2", Pearson Studium (2011)

- L. P. Schmidt, G. Schaller, S. Martius, "Grundlagen der Elektrotechnik 3", Pearson Studium (2011)

- T. Harriehausen, D. Schwarzenau, "Moeller Grundlagen der Elektrotechnik", Springer (2013) 

- A. Hambley, "Electrical Engineering: Principles and Applications", Pearson (2008)

- R. C. Dorf, J. A. Svoboda, "Introduction to electrical circuits", Wiley (2006)

- L. Moura, I. Darwazeh, "Introduction to Linear Circuit Analysis and Modeling", Amsterdam Newnes (2005)


Course L0567: Circuit Theory
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Alexander Kölpin, Dr. Fabian Lurz
Language DE
Cycle WiSe
Content see interlocking course
Literature

siehe korrespondierende Lehrveranstaltung

Module M0730: Computer Engineering

Courses
Title Typ Hrs/wk CP
Computer Engineering (L0321) Lecture 3 4
Computer Engineering (L0324) Recitation Section (small) 1 2
Module Responsible Prof. Heiko Falk
Admission Requirements None
Recommended Previous Knowledge

Basic knowledge in electrical engineering

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

This module deals with the foundations of the functionality of computing systems. It covers the layers from the assembly-level programming down to gates. The module includes the following topics:

  • Introduction
  • Combinational logic: Gates, Boolean algebra, Boolean functions, hardware synthesis, combinational networks
  • Sequential logic: Flip-flops, automata, systematic hardware design
  • Technological foundations
  • Computer arithmetic: Integer addition, subtraction, multiplication and division
  • Basics of computer architecture: Programming models, MIPS single-cycle architecture, pipelining
  • Memories: Memory hierarchies, SRAM, DRAM, caches
  • Input/output: I/O from the perspective of the CPU, principles of passing data, point-to-point connections, busses
Skills

The students perceive computer systems from the architect's perspective, i.e., they identify the internal structure and the physical composition of computer systems. The students can analyze, how highly specific and individual computers can be built based on a collection of few and simple components. They are able to distinguish between and to explain the different abstraction layers of today's computing systems - from gates and circuits up to complete processors.

After successful completion of the module, the students are able to judge the interdependencies between a physical computer system and the software executed on it. In particular, they shall understand the consequences that the execution of software has on the hardware-centric abstraction layers from the assembly language down to gates. This way, they will be enabled to evaluate the impact that these low abstraction levels have on an entire system's performance and to propose feasible options.

Personal Competence
Social Competence

Students are able to solve similar problems alone or in a group and to present the results accordingly.

Autonomy

Students are able to acquire new knowledge from specific literature and to associate this knowledge with other classes.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes 10 % Excercises
Examination Written exam
Examination duration and scale 90 minutes, contents of course and labs
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Computer Science: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Materials in Engineering Sciences: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Renewable Energy: Elective Compulsory
Computer Science: Core Qualification: Compulsory
Data Science: Core Qualification: Elective Compulsory
Data Science: Specialisation I. Mathematics/Computer Science: Elective Compulsory
Electrical Engineering: Core Qualification: Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Integrated Building Technology: Core Qualification: Elective Compulsory
Technomathematics: Specialisation II. Informatics: Elective Compulsory
Course L0321: Computer Engineering
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Heiko Falk
Language DE/EN
Cycle WiSe
Content
  • Introduction
  • Combinational Logic
  • Sequential Logic
  • Technological Foundations
  • Representations of Numbers, Computer Arithmetics
  • Foundations of Computer Architecture
  • Memories
  • Input/Output
Literature
  • A. Clements. The Principles of Computer Hardware. 3. Auflage, Oxford University Press, 2000.
  • A. Tanenbaum, J. Goodman. Computerarchitektur. Pearson, 2001.
  • D. Patterson, J. Hennessy. Rechnerorganisation und -entwurf. Elsevier, 2005.
Course L0324: Computer Engineering
Typ Recitation Section (small)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Heiko Falk
Language DE/EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0567: Theoretical Electrical Engineering I: Time-Independent Fields

Courses
Title Typ Hrs/wk CP
Theoretical Electrical Engineering I: Time-Independent Fields (L0180) Lecture 3 5
Theoretical Electrical Engineering I: Time-Independent Fields (L0181) Recitation Section (small) 2 1
Module Responsible Prof. Christian Schuster
Admission Requirements None
Recommended Previous Knowledge

Basic principles of electrical engineering and advanced mathematics


Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can explain the fundamental formulas, relations, and methods of the theory of time-independent electromagnetic fields. They can explicate the principal behavior of electrostatic, magnetostatic, and current density fields with regard to respective sources. They can describe the properties of complex electromagnetic fields by means of superposition of solutions for simple fields. The students are aware of applications for the theory of time-independent electromagnetic fields and are able to explicate these.


Skills

Students can apply Maxwell’s Equations in integral notation in order to solve highly symmetrical, time-independent, electromagnetic field problems. Furthermore, they are capable of applying a variety of methods that require solving Maxwell’s Equations for more general problems. The students can assess the principal effects of given time-independent sources of fields and analyze these quantitatively. They can deduce meaningful quantities for the characterization of electrostatic, magnetostatic, and electrical flow fields (capacitances, inductances, resistances, etc.) from given fields and dimension them for practical applications.


Personal Competence
Social Competence

Students are able to work together on subject related tasks in small groups. They are able to present their results effectively (e.g. during exercise sessions).


Autonomy

Students are capable to gather necessary information from provided references and relate this information to the lecture. They are able to continually reflect their knowledge by means of activities that accompany the lecture, such as short oral quizzes during the lectures and exercises that are related to the exam. Based on respective feedback, students are expected to adjust their individual learning process. They are able to draw connections between their knowledge obtained in this lecture and the content of other lectures (e.g. Electrical Engineering I, Linear Algebra, and Analysis).


Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90-150 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Compulsory
Electrical Engineering: Core Qualification: Compulsory
Computer Science in Engineering: Specialisation II. Mathematics & Engineering Science: Elective Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0180: Theoretical Electrical Engineering I: Time-Independent Fields
Typ Lecture
Hrs/wk 3
CP 5
Workload in Hours Independent Study Time 108, Study Time in Lecture 42
Lecturer Prof. Christian Schuster
Language DE
Cycle SoSe
Content

- Maxwell’s Equations in integral and differential notation

- Boundary conditions

- Laws of conservation for energy and charge

- Classification of electromagnetic field properties

- Integral characteristics of time-independent fields (R, L, C)

- Generic approaches to solving Poisson’s Equation

- Electrostatic fields and specific methods of solving

- Magnetostatic fields and specific methods of solving

- Fields of electrical current density and specific methods of solving

- Action of force within time-independent fields

- Numerical methods for solving time-independent problems

The practical application of numerical methods will be trained within specifically prepared lectures in an interactive manner using small MATLAB programs.

Literature

- G. Lehner, "Elektromagnetische Feldtheorie: Für Ingenieure und Physiker", Springer (2010)

- H. Henke, "Elektromagnetische Felder: Theorie und Anwendung", Springer (2011)

- W. Nolting, "Grundkurs Theoretische Physik 3: Elektrodynamik", Springer (2011)

- D. Griffiths, "Introduction to Electrodynamics", Pearson (2012)

- J. Edminister, " Schaum's Outline of Electromagnetics", Mcgraw-Hill (2013)

- Richard Feynman, "Feynman Lectures on Physics: Volume 2", Basic Books (2011)


Course L0181: Theoretical Electrical Engineering I: Time-Independent Fields
Typ Recitation Section (small)
Hrs/wk 2
CP 1
Workload in Hours Independent Study Time 2, Study Time in Lecture 28
Lecturer Prof. Christian Schuster
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0748: Materials in Electrical Engineering

Courses
Title Typ Hrs/wk CP
Electrotechnical Experiments (L0714) Lecture 1 1
Materials in Electrical Engineering (L0685) Lecture 2 3
Materials in Electrical Engineering (Problem Solving Course) (L0687) Recitation Section (small) 2 2
Module Responsible Prof. Manfred Eich
Admission Requirements None
Recommended Previous Knowledge Highschool level physics and mathematics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can explain the composition and the structural properties of materials used in electrical engineering. Students can explicate the relevance of mechanical, electrical, thermal, dielectric, magnetic and chemical properties of materials in view of their applications in electrical engineering.

Skills

Students can identify appropriate descriptive models and apply them mathematically. They can derive approximative solutions and judge factors influential on the performance of materials in electrical engineering applications.


Personal Competence
Social Competence

Students can jointly solve subject related problems in groups. They can present their results effectively within the framework of the problem solving course.


Autonomy

Students are capable to extract relevant information from the provided references and to relate this information to the content of the lecture. They can reflect their acquired level of expertise with the help of lecture accompanying measures such as exam typical exam questions. Students are able to connect their knowledge with that acquired from other lectures.


Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 60 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Compulsory
Electrical Engineering: Core Qualification: Compulsory
Orientation Studies: Core Qualification: Elective Compulsory
Course L0714: Electrotechnical Experiments
Typ Lecture
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dr. Wieland Hingst
Language DE
Cycle SoSe
Content

Agenda:

- Natural sources of electricity

- Oscilloscope

- Characterizing signals

- 2 terminal circuit elements

- 2-ports

- Power

- Matching

- Inductive coupling

- Resonance

- Radio frequencies

- Transistor circuits

- Electrical measurement

- Materials for the EE

- Electrical fun


Literature

Tietze, Schenk: "Halbleiterschaltungstechnik", Springer


Course L0685: Materials in Electrical Engineering
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Manfred Eich
Language DE
Cycle SoSe
Content

The Hamiltonian approach to classical mechanics. Analysis of a simple oscillator.
Analysis of vibrations in a one-dimensional lattice.
Phononic bandgap
Introduction to quantum mechanics
Wave function, Schrödinger’s equation, observables and measurements.
Quantum mechanical harmonic oscillator and spectral decomposition.
Symmetries, conserved quantities, and the labeling of states.
Angular momentum
The hydrogen atom
Waves in periodic potentials
Reciprocal lattice and reciprocal lattice vectors
Band gap
Band diagrams
The free electron gas and the density of states
Fermi-Dirac distribution
Density of charge carriers in semiconductors
Conductivity in semiconductors. Engineering conductivity through doping.
The P-N junction (diode)
Light emitting diodes
Electromagnetic waves interacting with materials
Reflection and refraction
Photonic band gaps
Origins of magnetization
Hysteresis in ferromagnetic materials
Magnetic domains

Literature

1.Anikeeva, Beach, Holten-Andersen, Fink, Electronic, Optical and Magnetic Properties of Materials,
Massachusetts Institute of Technology (MIT), 2013

2.Hagelstein et al., Introductory Applied Quantum and Statistical Mechanics, Wiley 2004

3.Griffiths, Introduction to Quantum Mechanics, Prentice Hall, 1994

4.Shankar, Principles of Quantum Mechanics, 2nd ed., Plenum Press, 1994

5.Fick, Einführung in die Grundlagen der Quantentheorie, Akad. Verlagsges., 1979

6.Kittel, Introduction to Solid State Physics, 8th ed., Wiley, 2004

7.Ashcroft, Mermin, Solid State Physics, Harcourt, 1976

8.Pierret, Semiconductor Fundamentals Vol. 1, Addison Wesley, 1988

9.Sze, Physics of Semiconductor Devices, Wiley, 1981

10.Saleh, Teich, Fundamentals of Photonics, 2nd ed., 2007

11.Joannopoulos, Johnson, Winn Meade, Photonic Crystals, 2nd ed., Princeton Universty Press, 2008

12.Handley, Modern Magnetic Materials, Wiley, 2000

13.Wikipedia, Wikimedia

Course L0687: Materials in Electrical Engineering (Problem Solving Course)
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Manfred Eich
Language DE
Cycle SoSe
Content
  • Atom structure and periodic system
  • Atom binding and crystal structure
  • Structure and properties of alloys:
    diffusion, phase diagrams, phase separation and grain boundaries
  • Material properties:
    Mechanical, thermal, electrical, dielectric properties
  • Metals
  • Semiconductors
  • Ceramics and glasses
  • Polymers
  • Magnetic materials
  • Electrochemistry
    Oxidation numbers, electrolysis, batteries, fuel cells
Literature

H. Schaumburg: Einführung in die Werkstoffe der Elektrotechnik, Teubner (1993)

Module M0610: Electrical Machines and Actuators

Courses
Title Typ Hrs/wk CP
Electrical Machines and Actuators (L0293) Lecture 3 4
Electrical Machines and Actuators (L0294) Recitation Section (large) 2 2
Module Responsible Prof. Thorsten Kern
Admission Requirements None
Recommended Previous Knowledge

Basics of mathematics, in particular complexe numbers, integrals, differentials

Basics of electrical engineering and mechanical engineering

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can to draw and explain the basic principles of electric and magnetic fields. 

They can describe the function of the standard types of electric machines and present the corresponding equations and characteristic curves. For typically used drives they can explain the major parameters of the energy efficiency of the whole system from the power grid to the driven engine.

Skills

Students are able to calculate two-dimensional electric and magnetic fields in particular ferromagnetic circuits with air gap. For this they apply the usual methods of the design auf electric machines.

They can calulate the operational performance of electric machines from their given characteristic data and selected quantities and characteristic curves. They apply the usual equivalent circuits and graphical methods.


Personal Competence
Social Competence none
Autonomy

Students are able independently to calculate electric and magnatic fields for applications. They are able to analyse independently the operational performance of electric machines from the charactersitic data and theycan calculate thereof selected quantities and characteristic curves.


Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Subject theoretical and practical work
Examination duration and scale Design of four machines and actuators, review of design files
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Elective Compulsory
Digital Mechanical Engineering: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Elective Compulsory
Engineering Science: Specialisation Electrical Engineering: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory
Logistics and Mobility: Specialisation Engineering Science: Elective Compulsory
Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory
Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory
Mechanical Engineering: Core Qualification: Elective Compulsory
Mechatronics: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory
Course L0293: Electrical Machines and Actuators
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Thorsten Kern, Dennis Kähler
Language DE
Cycle SoSe
Content

Electric field: Coulomb´s law, flux (field) line, work, potential, capacitor, energy, force, capacitive actuators

Magnetic field: force, flux line, Ampere´s law, field at bounderies, flux, magnetic circuit, hysteresis, induction, self-induction, mutual inductance, transformer, electromagnetic actuators

Synchronous machines, construction and layout, equivalent single line diagrams, no-load and short-cuircuit characteristics, vector diagrams, motor and generator operation, stepper motors

DC-Machines: Construction and layout, torque generation mechanismen, torque vs speed characteristics, commutation,

Asynchronous Machines. Magnetic field, construction and layout, equivalent single line diagram, complex stator current diagram (Heylands´diagram), torque vs. speed characteristics, rotor layout (squirrel-cage vs. sliprings),

Drives with variable speed, inverter fed operation, special drives

Literature

Hermann Linse, Roland Fischer: "Elektrotechnik für Maschinenbauer", Vieweg-Verlag; Signatur der Bibliothek der TUHH: ETB 313

Ralf Kories, Heinz Schmitt-Walter: "Taschenbuch der Elektrotechnik"; Verlag Harri Deutsch; Signatur der Bibliothek der TUHH: ETB 122

"Grundlagen der Elektrotechnik" - anderer Autoren

Fachbücher "Elektrische Maschinen"

Course L0294: Electrical Machines and Actuators
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Thorsten Kern, Dennis Kähler
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0854: Mathematics IV

Courses
Title Typ Hrs/wk CP
Differential Equations 2 (Partial Differential Equations) (L1043) Lecture 2 1
Differential Equations 2 (Partial Differential Equations) (L1044) Recitation Section (small) 1 1
Differential Equations 2 (Partial Differential Equations) (L1045) Recitation Section (large) 1 1
Complex Functions (L1038) Lecture 2 1
Complex Functions (L1041) Recitation Section (small) 1 1
Complex Functions (L1042) Recitation Section (large) 1 1
Module Responsible Prof. Anusch Taraz
Admission Requirements None
Recommended Previous Knowledge Mathematics I - III
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students can name the basic concepts in Mathematics IV. They are able to explain them using appropriate examples.
  • Students can discuss logical connections between these concepts.  They are capable of illustrating these connections with the help of examples.
  • They know proof strategies and can reproduce them.


Skills
  • Students can model problems in Mathematics IV with the help of the concepts studied in this course. Moreover, they are capable of solving them by applying established methods.
  • Students are able to discover and verify further logical connections between the concepts studied in the course.
  • For a given problem, the students can develop and execute a suitable approach, and are able to critically evaluate the results.


Personal Competence
Social Competence
  • Students are able to work together in teams. They are capable to use mathematics as a common language.
  • In doing so, they can communicate new concepts according to the needs of their cooperating partners. Moreover, they can design examples to check and deepen the understanding of their peers.


Autonomy
  • Students are capable of checking their understanding of complex concepts on their own. They can specify open questions precisely and know where to get help in solving them.
  • Students have developed sufficient persistence to be able to work for longer periods in a goal-oriented manner on hard problems.


Workload in Hours Independent Study Time 68, Study Time in Lecture 112
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 60 min (Complex Functions) + 60 min (Differential Equations 2)
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Naval Architecture: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Elective Compulsory
Electrical Engineering: Core Qualification: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Electrical Engineering: Compulsory
Computer Science in Engineering: Specialisation II. Mathematics & Engineering Science: Elective Compulsory
Mechanical Engineering: Specialisation Mechatronics: Compulsory
Mechanical Engineering: Specialisation Theoretical Mechanical Engineering: Elective Compulsory
Mechatronics: Core Qualification: Compulsory
Naval Architecture: Core Qualification: Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course Core Studies: Elective Compulsory
Course L1043: Differential Equations 2 (Partial Differential Equations)
Typ Lecture
Hrs/wk 2
CP 1
Workload in Hours Independent Study Time 2, Study Time in Lecture 28
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle SoSe
Content

Main features of the theory and numerical treatment of partial differential equations 

  • Examples of partial differential equations
  • First order quasilinear differential equations
  • Normal forms of second order differential equations
  • Harmonic functions and maximum principle
  • Maximum principle for the heat equation
  • Wave equation
  • Liouville's formula
  • Special functions
  • Difference methods
  • Finite elements
Literature
  • http://www.math.uni-hamburg.de/teaching/export/tuhh/index.html


Course L1044: Differential Equations 2 (Partial Differential Equations)
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L1045: Differential Equations 2 (Partial Differential Equations)
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L1038: Complex Functions
Typ Lecture
Hrs/wk 2
CP 1
Workload in Hours Independent Study Time 2, Study Time in Lecture 28
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle SoSe
Content

Main features of complex analysis 

  • Functions of one complex variable
  • Complex differentiation
  • Conformal mappings
  • Complex integration
  • Cauchy's integral theorem
  • Cauchy's integral formula
  • Taylor and Laurent series expansion
  • Singularities and residuals
  • Integral transformations: Fourier and Laplace transformation
Literature
  • http://www.math.uni-hamburg.de/teaching/export/tuhh/index.html


Course L1041: Complex Functions
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L1042: Complex Functions
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1340: Introduction to Waveguides, Antennas, and Electromagnetic Compatibility

Courses
Title Typ Hrs/wk CP
Introduction to Waveguides, Antennas, and Electromagnetic Compatibility (L1669) Lecture 3 4
Introduction to Waveguides, Antennas, and Electromagnetic Compatibility (L1877) Recitation Section (small) 2 2
Module Responsible Prof. Christian Schuster
Admission Requirements None
Recommended Previous Knowledge Basic principles of physics and electrical engineering
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can explain the basic principles, relationships, and methods for the design of waveguides and antennas as well as of Electromagnetic Compatibility. Specific topics are:

- Fundamental properties and phenomena of electrical circuits
- Steady-state sinusoidal analysis of electrical circuits
- Fundamental properties and phenomena of electromagnetic fields and waves
- Steady-state sinusoidal description of electromagnetic fields and waves
- Useful microwave network parameters
- Transmission lines and basic results from transmission line theory
- Plane wave propagation, superposition, reflection and refraction
- General theory of waveguides
- Most important types of waveguides and their properties
- Radiation and basic antenna parameters
- Most important types of antennas and their properties
- Numerical techniques and CAD tools for waveguide and antenna design
- Fundamentals of Electromagnetic Compatibility
- Coupling mechanisms and countermeasures
- Shielding, grounding, filtering
- Standards and regulations
- EMC measurement techniques

Skills

Students know how to apply various methods and models for characterization and choice of waveguides and antennas. They are able to assess and qualify their basic electromagnetic properties. They can apply results and strategies from the field of Electromagnetic Compatibilty to the development of electrical components and systems.

Personal Competence
Social Competence

Students are able to work together on subject related tasks in small groups. They are able to present their results effectively in English (e.g. during small group exercises).

Autonomy Students are capable to gather information from subject related, professional publications and relate that information to the context of the lecture. They are able to make a connection between their knowledge obtained in this lecture with the content of other lectures (e.g. theory of electromagnetic fields, fundamentals of electrical engineering / physics). They can discuss technical problems and physical effects in English.
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Oral exam
Examination duration and scale 45 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Elective Compulsory
Electrical Engineering: Core Qualification: Elective Compulsory
Engineering Science: Specialisation Electrical Engineering: Elective Compulsory
Aircraft Systems Engineering: Core Qualification: Elective Compulsory
Mechatronics: Specialisation System Design: Elective Compulsory
Course L1669: Introduction to Waveguides, Antennas, and Electromagnetic Compatibility
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Christian Schuster
Language DE/EN
Cycle SoSe
Content

This course is intended as an introduction to the topics of wave propagation, guiding, sending, and receiving as well as Electromagnetic Compatibility (EMC). It will be useful for engineers that face the technical challenge of transmitting high frequency / high bandwidth data in e.g. medical, automotive, or avionic applications. Both circuit and field concepts of wave propagation and Electromagnetic Compatibility will be introduced and discussed.

Topics:

- Fundamental properties and phenomena of electrical circuits
- Steady-state sinusoidal analysis of electrical circuits
- Fundamental properties and phenomena of electromagnetic fields and waves
- Steady-state sinusoidal description of electromagnetic fields and waves
- Useful microwave network parameters
- Transmission lines and basic results from transmission line theory
- Plane wave propagation, superposition, reflection and refraction
- General theory of waveguides
- Most important types of waveguides and their properties
- Radiation and basic antenna parameters
- Most important types of antennas and their properties
- Numerical techniques and CAD tools for waveguide and antenna design
- Fundamentals of Electromagnetic Compatibility
- Coupling mechanisms and countermeasures
- Shielding, grounding, filtering
- Standards and regulations
- EMC measurement techniques




Literature

- Zinke, Brunswig, "Hochfrequenztechnik 1", Springer (1999)

- J. Detlefsen, U. Siart, "Grundlagen der Hochfrequenztechnik", Oldenbourg (2012)

- D. M. Pozar, "Microwave Engineering", Wiley (2011)

- Y. Huang, K. Boyle, "Antenna: From Theory to Practice", Wiley (2008)

- H. Ott, "Electromagnetic Compatibility Engineering", Wiley (2009)

- A. Schwab, W. Kürner, "Elektromagnetische Verträglichkeit", Springer (2007)

Course L1877: Introduction to Waveguides, Antennas, and Electromagnetic Compatibility
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Christian Schuster
Language DE/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0568: Theoretical Electrical Engineering II: Time-Dependent Fields

Courses
Title Typ Hrs/wk CP
Theoretical Electrical Engineering II: Time-Dependent Fields (L0182) Lecture 3 5
Theoretical Electrical Engineering II: Time-Dependent Fields (L0183) Recitation Section (small) 2 1
Module Responsible Prof. Christian Schuster
Admission Requirements None
Recommended Previous Knowledge

Electrical Engineering I, Electrical Engineering II, Theoretical Electrical Engineering I

Mathematics I, Mathematics II, Mathematics III, Mathematics IV


Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to explain fundamental formulas, relations, and methods related to the theory of time-dependent electromagnetic fields. They can assess the principal behavior and characteristics of quasistationary and fully dynamic fields with regard to respective sources. They can describe the properties of complex electromagnetic fields by means of superposition of solutions for simple fields. The students are aware of applications for the theory of time-dependent electromagnetic fields and are able to explicate these.


Skills

Students are able to apply a variety of procedures in order to solve the diffusion and the wave equation for general time-dependent field problems. They can assess the principal effects of given time-dependent sources of fields and analyze these quantitatively. They can deduce meaningful quantities for the characterization of fully dynamic fields (wave impedance, skin depth, Poynting-vector, radiation resistance, etc.) from given fields and interpret them with regard to practical applications.


Personal Competence
Social Competence

Students are able to work together on subject related tasks in small groups. They are able to present their results effectively (e.g. during exercise sessions).


Autonomy

Students are capable to gather necessary information from provided references and relate this information to the lecture. They are able to continually reflect their knowledge by means of activities that accompany the lecture, such as short oral quizzes during the lectures and exercises that are related to the exam. Based on respective feedback, students are expected to adjust their individual learning process. They are able to draw connections between acquired knowledge and ongoing research at the Hamburg University of Technology (TUHH), e.g. in the area of high frequency engineering and optics.


Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90-150 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Compulsory
Electrical Engineering: Core Qualification: Compulsory
Engineering Science: Specialisation Electrical Engineering: Compulsory
Engineering Science: Specialisation Mechatronics: Elective Compulsory
Engineering Science: Specialisation Mechatronics: Elective Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0182: Theoretical Electrical Engineering II: Time-Dependent Fields
Typ Lecture
Hrs/wk 3
CP 5
Workload in Hours Independent Study Time 108, Study Time in Lecture 42
Lecturer Prof. Christian Schuster
Language DE
Cycle WiSe
Content

- Theory and principal characteristics of quasistationary electromagnetic fields

- Electromagnetic induction and law of induction

- Skin effect and eddy currents

- Shielding of time variable magnetic fields

- Theory and principal characteristics of fully dynamic electromagnetic fields

- Wave equations and properties of planar waves

- Polarization and superposition of planar waves

- Reflection and refraction of planar waves at boundary surfaces

- Waveguide theory

- Rectangular waveguide, planar optical waveguide

- Elektrical and magnetical dipol radiation

- Simple arrays of antennas

The practical application of numerical methods will be trained within specifically prepared lectures in an interactive manner using small MATLAB programs.

Literature

- G. Lehner, "Elektromagnetische Feldtheorie: Für Ingenieure und Physiker", Springer (2010)

- H. Henke, "Elektromagnetische Felder: Theorie und Anwendung", Springer (2011)

- W. Nolting, "Grundkurs Theoretische Physik 3: Elektrodynamik", Springer (2011)

- D. Griffiths, "Introduction to Electrodynamics", Pearson (2012)

- J. Edminister, "Schaum's Outline of Electromagnetics", Mcgraw-Hill (2013)

- Richard Feynman, "Feynman Lectures on Physics: Volume 2", Basic Books (2011)


Course L0183: Theoretical Electrical Engineering II: Time-Dependent Fields
Typ Recitation Section (small)
Hrs/wk 2
CP 1
Workload in Hours Independent Study Time 2, Study Time in Lecture 28
Lecturer Prof. Christian Schuster
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1235: Electrical Power Systems I: Introduction to Electrical Power Systems

Courses
Title Typ Hrs/wk CP
Electrical Power Systems I: Introduction to Electrical Power Systems (L1670) Lecture 3 4
Electrical Power Systems I: Introduction to Electrical Power Systems (L1671) Recitation Section (small) 2 2
Module Responsible Prof. Christian Becker
Admission Requirements None
Recommended Previous Knowledge

Fundamentals of Electrical Engineering

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to give an overview of conventional and modern electric power systems.  They can explain in detail and critically evaluate technologies of electric power generation, transmission, storage, and distribution as well as integration of equipment into electric power systems.

Skills

With completion of this module the students are able to apply the acquired skills in applications of the design, integration, development of electric power systems and to assess the results.

Personal Competence
Social Competence

The students can participate in specialized and interdisciplinary discussions, advance ideas and represent their own work results in front of others.

Autonomy

Students can independently tap knowledge of the emphasis of the lectures. 

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 - 150 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Renewable Energy: Elective Compulsory
Data Science: Core Qualification: Elective Compulsory
Electrical Engineering: Core Qualification: Elective Compulsory
Energy Systems: Specialisation Energy Systems: Elective Compulsory
Engineering Science: Specialisation Electrical Engineering: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Systems: Elective Compulsory
Computer Science in Engineering: Specialisation II. Mathematics & Engineering Science: Elective Compulsory
Integrated Building Technology: Core Qualification: Compulsory
Renewable Energies: Core Qualification: Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Course L1670: Electrical Power Systems I: Introduction to Electrical Power Systems
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Christian Becker
Language DE
Cycle WiSe
Content
  • fundamentals and current development trends in electric power engineering 
  • tasks and history of electric power systems
  • symmetric three-phase systems
  • fundamentals and modelling of eletric power systems 
    • lines
    • transformers
    • synchronous machines
    • induction machines
    • loads and compensation
    • grid structures and substations 
  • fundamentals of energy conversion
    • electro-mechanical energy conversion
    • thermodynamics
    • power station technology
    • renewable energy conversion systems
  • steady-state network calculation
    • network modelling
    • load flow calculation
    • (n-1)-criterion
  • symmetric failure calculations, short-circuit power
  • control in networks and power stations
  • grid protection
  • grid planning
  • power economy fundamentals
Literature

K. Heuck, K.-D. Dettmann, D. Schulz: "Elektrische Energieversorgung", Vieweg + Teubner, 9. Auflage, 2013

A. J. Schwab: "Elektroenergiesysteme", Springer, 5. Auflage, 2017

R. Flosdorff: "Elektrische Energieverteilung" Vieweg + Teubner, 9. Auflage, 2008

Course L1671: Electrical Power Systems I: Introduction to Electrical Power Systems
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Christian Becker
Language DE
Cycle WiSe
Content
  • fundamentals and current development trends in electric power engineering 
  • tasks and history of electric power systems
  • symmetric three-phase systems
  • fundamentals and modelling of eletric power systems 
    • lines
    • transformers
    • synchronous machines
    • induction machines
    • loads and compensation
    • grid structures and substations 
  • fundamentals of energy conversion
    • electro-mechanical energy conversion
    • thermodynamics
    • power station technology
    • renewable energy conversion systems
  • steady-state network calculation
    • network modelling
    • load flow calculation
    • (n-1)-criterion
  • symmetric failure calculations, short-circuit power
  • control in networks and power stations
  • grid protection
  • grid planning
  • power economy fundamentals
Literature

K. Heuck, K.-D. Dettmann, D. Schulz: "Elektrische Energieversorgung", Vieweg + Teubner, 9. Auflage, 2013

A. J. Schwab: "Elektroenergiesysteme", Springer, 5. Auflage, 2017

R. Flosdorff: "Elektrische Energieverteilung" Vieweg + Teubner, 9. Auflage, 2008

Module M0675: Introduction to Communications and Random Processes

Courses
Title Typ Hrs/wk CP
Introduction to Communications and Random Processes (L0442) Lecture 3 4
Introduction to Communications and Random Processes (L0443) Recitation Section (large) 1 1
Introduction to Communications and Random Processes (L2354) Recitation Section (small) 1 1
Module Responsible Prof. Gerhard Bauch
Admission Requirements None
Recommended Previous Knowledge
  • Mathematics 1-3
  • Signals and Systems
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students know and understand the fundamental building blocks of a communications system. They can describe and analyse the individual building blocks using knowledge of signal and system theory as well as the theory of stochastic processes. The are aware of the essential resources and evaluation criteria of information transmission and are able to design and evaluate a basic communications system. 

The students are familiar with the contents of lecture and tutorials. They can explain and apply them to new problems.

Skills The students are able to design and evaluate a basic communications system. In particular, they can estimate the required resources in terms of bandwidth and power. They are able to assess essential evaluation parameters of a basic communications system such as bandwidth efficiency or bit error rate and to decide for a suitable transmission method.
Personal Competence
Social Competence

 The students can jointly solve specific problems.

Autonomy

The students are able to acquire relevant information from appropriate literature sources. They can control their level of knowledge during the lecture period by solving tutorial problems, software tools, clicker system.

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Compulsory
Data Science: Core Qualification: Elective Compulsory
Data Science: Specialisation I. Mathematics/Computer Science: Elective Compulsory
Electrical Engineering: Core Qualification: Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0442: Introduction to Communications and Random Processes
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Gerhard Bauch
Language DE/EN
Cycle WiSe
Content
  • Introduction to communications engineering
  • Open Systems Interconnection (OSI) reference model
  • Components of a digital communications system
  • Fundamentals of signals and systems
    • Analog and digital signals
    • Principles of Analog-to-digital (A/D) conversion
    • Deterministic and random signals
    • Power and energy of signals
    • Linear time-invariant (LTI) systems
    • Quadrature amplitude modulation (QAM) 
  • Introduction to stochastics
  • Probability theory
    • Random experiments
    • Probability model, probability space, sample space
    • Definitions of probability
      • Probability according to Bernoulli/Laplace
      • Probability according to van Mises, relative frequency
      • Bertrand’s paradox
      • Axiomatic definition of probability according to Kolmogorov
      • Probability of disjoint and non-disjoint events
      • Venn diagrams
    • Continuous and discrete random variables
      • Probability density function (pdf), cululative distribution function (cdf)
      • Expected value, mean, median, quadratic mean, variance, standard deviation, higher moments
      • Examples for probability distributions (Bernoulli distribution, two-point distribution, uniform distribution, Gaussian (normal) distribution, Rayleigh distribution, etc.)
    • Multiple random variables
      • Conditional probability, joint probability
      • Conditional and joint probability density function
      • Bayes’ rule
      • Correlation coefficient
      • Two-dimensional Gaussian distribution
      • Statistically independent, uncorrelated and orthogonal random variables
      • Independent identically distributed (iid) random variables
      • Properties of expected value and variance
      • Covariance
      • Probability density function (pdf) and cumulative distribution function (cdf) of the sum of statistically independent random variables
      • Central limit theorem
    • Probability density functions (pdfs) in data transmission
  • Continuous-time and discrete-time random processes
    • Examples for random processes
    • Ensemble average and time average
    • Ergodic random processes
    • Quadratic mean and variance
    • Probability density function (pdf) and cumulative distribution function (cdf)
    • Joint probability density function (pdf) and joint cumulative distribution function (cdf)
    • Statistically independent, uncorrelated and orthogonal random processes
    • Stationary random processes
    • Correlation functions: Autocorrelation function, crosscorrelation function, average autocorrelation function of non-stationary random processes, autocorrelation and crosscorrelation function of stationary processes, autocovariance function, crosscovariance function
    • Autocorrelation matrix, crosscorrelation matrix, autocovariance matrix, crosscovariance matrix
    • Pseudo-noise sequences, example: Code division multiple access (CDMA)
    • Autocorrelation function, power spectral density (psd), signal power, Einstein-Wiener-Khintchine relations
    • White (Gaussian) noise
  • Filtering of random processes by LTI systems
    • Transformation of the probability density function (pdf)
    • Transformation of the mean
    • Transformation of the power spectral density (psd)
    • Correlation functions of input and output signal
    • Filtering of white Gaussian noise
    • Bandlimitation for noise power limitation
    • Preemphasis and deemphasis
  • Companding, mu-law, A-law
  • Functions of random variables
    • Transformation of probabilities and of the probability density function (pdf)
    • Application: Non-linear amplifiers
  • Functions of two random variables
    • Probability density function
    • Examples: Rayleigh distribution, magnitude of an OFDM signal, magnitude of a received radio signal
  • Transmission channels and channel models
    • Wireline channels: Telephone cable, coaxial cable, optical fiber
    • Wireless channels: Fading radio channel, underwater channels
    • Frequency-flat and frequency-selective channels
    • Additive white Gaussian noise (AWGN) channel
    • Signal to noise power ratio (SNR)
    • Discrete-time channel models
    • Discrete memoryless channels (DMC)
  • Analog-to-digital conversion
    • Sampling
      • Sampling theorem
    • Pulse modulation
      • Pulse-amplitude modulation (PAM)
      • Pulse-duration modulation (PDM), pulse-width modulation (PWM)
      • Pulse-position modulation (PPM)
      • Pulse-code modulation (PCM)
    • Quantization
      • Linear quantizaton, midtread and midrise characteristic
      • Quantization error, quantization noise
      • Signal-to-quantization noise ratio
      • Non-linear quantization, compressor characteristics, mu-law, A-law
      • Speech transmission with PCM
    • Differential pulse-code modulation (DPCM)
      • Linear prediction according to the minimum mean squared error (MMSE) criterion.
      • DPCM with forward prediction and backward prediction
      • SNR gain of DPCM over PCM
      • Delta modulation
  • Fundamentals of information theory and coding
    • Definitions of information: Self-information, entropy
    • Binary entropy function
    • Source coding theorem
    • Source coding: Huffman code
    • Mutual information and channel capacity
    • Channel capacity of the AWGN channel and the binary input AWGN channel
    • Channel coding theorem
    • Principles of channel coding: Code rate and data rate, Hamming distance, minimum Hamming distance, error detection and error correction
    • Examples for channel codes: Block codes and convolutional codes, repetition code, single parity check code, Hamming code, Turbo codes
  • Combinatorics
    • Variation with and without repetition
    • Combination with and without repetition
    • Permutation, Permutation of multisets
    • Word error probabilities of linear block codes
  • Baseband transmission
    • Pulse shaping: Non-return to zero (NRZ) rectangular pulses, Manchester pulses, raised-cosine pulses, square-root raised-cosine pulses, Gaussian pulses
    • Transmit signal energy, average energy per symbol
    • Power spectral density (psd) of baseband signals
    • Definitions of signal bandwidth
    • Bandwidth efficiency
    • Intersymbol interference (ISI)
    • First and second Nyquist criterion
    • Eye patterns
    • Receive filter design: Matched filter
    • Matched-filter receiver and correlation receiver
    • Square-root Nyquist pulse shaping
    • Discrete-time AWGN channel model
  • Maximum a posteriori probability (MAP) and maximum likelihood (ML) detection
  • Bit error probability in AWGN channels for binary antipodal and on-off signaling
  • Band-pass transmission via carrier modulation
    • Amplitude modulation, frequency modulation, phase modulation
    • Linear digital modulation methods: On-off keying (OOK), phase-shift keying (PSK), amplitude shift keying (ASK), quadrature amplitude shift keying (QAM)

 


Literature

K. Kammeyer: Nachrichtenübertragung, Teubner

P.A. Höher: Grundlagen der digitalen Informationsübertragung, Teubner.

M. Bossert: Einführung in die Nachrichtentechnik, Oldenbourg.

J.G. Proakis, M. Salehi: Grundlagen der Kommunikationstechnik. Pearson Studium.

J.G. Proakis, M. Salehi: Digital Communications. McGraw-Hill.

S. Haykin: Communication Systems. Wiley

J.G. Proakis, M. Salehi: Communication Systems Engineering. Prentice-Hall.

J.G. Proakis, M. Salehi, G. Bauch, Contemporary Communication Systems. Cengage Learning.






Course L0443: Introduction to Communications and Random Processes
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Gerhard Bauch
Language DE/EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L2354: Introduction to Communications and Random Processes
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Gerhard Bauch
Language DE/EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0783: Measurements: Methods and Data Processing

Courses
Title Typ Hrs/wk CP
EE Experimental Lab (L0781) Practical Course 2 2
Measurements: Methods and Data Processing (L0779) Lecture 2 3
Measurements: Methods and Data Processing (L0780) Recitation Section (small) 1 1
Module Responsible Prof. Alexander Schlaefer
Admission Requirements None
Recommended Previous Knowledge

principles of mathematics
principles of electrical engineering 

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students are able to explain the purpose of metrology and the acquisition and processing of measurements. They can detail aspects of probability theory and errors, and explain the processing of stochastic signals. Students know methods to digitalize and describe measured signals.



Skills

The students are able to evaluate problems of metrology and to apply methods for describing and processing of measurements.


Personal Competence
Social Competence

The students solve problems in small groups.

Autonomy

The students can reflect their knowledge and discuss and evaluate their results.


Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes 10 % Excercises
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Elective Compulsory
Electrical Engineering: Core Qualification: Compulsory
Engineering Science: Specialisation Electrical Engineering: Elective Compulsory
Integrated Building Technology: Core Qualification: Elective Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0781: EE Experimental Lab
Typ Practical Course
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Alexander Schlaefer, Prof. Herbert Werner, Dozenten des SD E, Prof. Christian Becker, Prof. Heiko Falk, Prof. Bernd-Christian Renner, Prof. Thorsten Kern, Prof. Alexander Kölpin
Language DE
Cycle WiSe
Content lab experiments: digital circuits, semiconductors, micro controllers, analog circuits, AC power, electrical machines
Literature Wird in der Lehrveranstaltung festgelegt
Course L0779: Measurements: Methods and Data Processing
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Alexander Schlaefer
Language DE
Cycle WiSe
Content

introduction, systems and errors in metrology, probability theory, measuring stochastic signals, describing measurements, acquisition of analog signals, applied metrology

Literature

Puente León, Kiencke: Messtechnik, Springer 2012
Lerch: Elektrische Messtechnik, Springer 2012

Weitere Literatur wird in der Veranstaltung bekanntgegeben.

Course L0780: Measurements: Methods and Data Processing
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Alexander Schlaefer
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0760: Electronic Devices

Courses
Title Typ Hrs/wk CP
Electronic Devices (L0720) Lecture 3 4
Electronic Devices (L0721) Project-/problem-based Learning 2 2
Module Responsible Prof. Hoc Khiem Trieu
Admission Requirements None
Recommended Previous Knowledge

Atomic model and quantum theory, electrical currents in solid state materials, basics in solid-state physics

Successful participation of Physics for Engineers and Materials in Electrical Engineering or courses with equivalent contents

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge


Students are able

  • to represent the basics of semiconductor physics,

  • to explain the operating principle of important semiconductor devices,

  • to outline device characteristics and equivalent circuits as well as to explain their derivation and

  • to discuss the limitation of device models.


Skills


Students are capable

  • to apply devices in basic circuits,

  • to realize the physical context and to solve complex problems by oneself


Personal Competence
Social Competence

Students are able to prepare and perform their lab experiments in team work as well as to present and discuss the results in front of audience.

Autonomy Students are capable to acquire knowledge based on literature in order to prepare their experiments.
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes 10 % Subject theoretical and practical work Studierenden erarbeiten in Kleingruppen Wissen zu einem bestimmten Thema, demonstrieren dieses in Form eines Versuches mit Präsentation und Diskussion. Darüber hinaus betreut jede Gruppe eine Übungsaufgabe, die inhaltlich zu dem jeweiligen Versuch gehört.
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Compulsory
Electrical Engineering: Core Qualification: Compulsory
Engineering Science: Specialisation Electrical Engineering: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Electrical Engineering: Compulsory
Computer Science in Engineering: Specialisation II. Mathematics & Engineering Science: Elective Compulsory
Course L0720: Electronic Devices
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Hoc Khiem Trieu
Language DE
Cycle WiSe
Content
  • Uniformly doped semiconductor (semiconductor, crystal structure, energy band diagram, effective mass, density of state, probability of occupancy, mass action law, generation and recombination processes, generation and recombination lifetime, carrier transport mechanisms: drift current, diffusion current; equilibriums in semiconductor, semiconductor equations)
  • pn-junction (zero applied bias, energy band diagram in thermal equilibrium, current-voltage characteristics, derivation of diode equation, consideration of space charge recombination, transient behaviour, breakdown mechanisms, various types of diodes: Zener diode, tunnel diode, backward diode, photo diode, LED, laser diode)
  • Bipolar transistor (principle of operation, current-voltage characteristics: calculation of  base, collector and emitter current, operating modes; non-ideality: actual doping profile, Early effect, breakdown, generation and recombination current and high injection; Ebers-Moll model: family of characteristics, equivalent circuit; frequency response, switching characteristics, heterojunction bipolar transistor)
  • Unipolar devices (surface effects: surface states, work function, energy band diagram; metal-semiconductor junctions: Schottky contact, current-voltage characteristics, ohmic  contact; junction field effect transistor: operating principle, current-voltage characteristics, small-signal model, breakdown characteristics; MESFET: operating principle,  depletion mode and enhancement mode MESFET; MIS structure: accumulation, depletion, inversion, strong inversion, flatband voltage, oxide charges, threshold voltage, capacitance voltage characteristics; MOSFET: basic structure, principle of operation, current voltage characteristics, frequency response, subthreshold behaviour, threshold voltage, device scaling; CMOS)

 

Literature

S.M. Sze: Semiconductor devices, Physics and Technology, John Wiley & Sons (1985)F. Thuselt: Physik der Halbleiterbauelemente, Springer (2011)

T. Thille, D. Schmitt-Landsiedel: Mikroelektronik, Halbleiterbauelemente und deren Anwendung in elektronischen Schaltungen, Springer (2004)

B.L. Anderson, R.L. Anderson: Fundamentals of Semiconductor Devices, McGraw-Hill (2005)

D.A. Neamen: Semiconductor Physics and Devices, McGraw-Hill (2011)

M. Shur: Introduction to Electronic Devices, John Wiley & Sons (1996)

S.M. Sze: Physics of semiconductor devices, John Wiley & Sons (2007)

H. Schaumburg: Halbleiter, B.G. Teubner (1991)

A. Möschwitzer: Grundlagen der Halbleiter-&Mikroelektronik, Bd1 Elektronische Halbleiterbauelemente, Carl Hanser (1992)

H.-G. Unger, W. Schultz, G. Weinhausen: Elektronische Bauelemente und Netzwerke I, Physikalische Grundlagen der Halbleiterbauelemente, Vieweg (1985)
Course L0721: Electronic Devices
Typ Project-/problem-based Learning
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Hoc Khiem Trieu
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0777: Semiconductor Circuit Design

Courses
Title Typ Hrs/wk CP
Semiconductor Circuit Design (L0763) Lecture 3 4
Semiconductor Circuit Design (L0864) Recitation Section (small) 1 2
Module Responsible Prof. Matthias Kuhl
Admission Requirements None
Recommended Previous Knowledge

Fundamentals of electrical engineering

Basics of physics, especially semiconductor physics

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students are able to explain the functionality of different MOS devices in electronic circuits.
  • Students are able to explain how analog circuits functions and where they are applied.
  • Students are able to explain the functionality of fundamental operational amplifiers and their specifications.
  • Students know the fundamental digital logic circuits and can discuss their advantages and disadvantages.
  • Students have knowledge about memory circuits and can explain their functionality and specifications.
  • Students know the appropriate fields for the use of bipolar transistors.


Skills
  • Students can calculate the specifications of different MOS devices and can define the parameters of electronic circuits.
  • Students are able to develop different logic circuits and can design different types of logic circuits.
  • Students can use MOS devices, operational amplifiers and bipolar transistors for specific applications.


Personal Competence
Social Competence
  • Students are able work efficiently in heterogeneous teams.
  • Students working together in small groups can solve problems and answer professional  questions.


Autonomy
  • Students are able to assess their level of knowledge.


Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory
Data Science: Core Qualification: Elective Compulsory
Electrical Engineering: Core Qualification: Compulsory
Engineering Science: Specialisation Electrical Engineering: Compulsory
Engineering Science: Specialisation Mechatronics: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Electrical Engineering: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Mechatronics: Compulsory
Computer Science in Engineering: Specialisation II. Mathematics & Engineering Science: Elective Compulsory
Mechanical Engineering: Specialisation Mechatronics: Compulsory
Mechatronics: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0763: Semiconductor Circuit Design
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Matthias Kuhl
Language DE
Cycle SoSe
Content
  • Repetition Semiconductorphysics and Diodes
  • Functionality and characteristic curve of bipolar transistors
  • Basic circuits with bipolar transistors
  • Functionality and characteristic curve of MOS transistors
  • Basic circuits with MOS transistors for amplifiers
  • Operational amplifiers and their applications
  • Typical applications for analog and digital circuits
  • Realization of logical functions 
  • Basic circuits with MOS transistors for combinational logic
  • Memory circuits
  • Basic circuits with MOS transistors for sequential logic
  • Basic concepts of analog-to-digital and digital-to-analog-converters
Literature

U. Tietze und Ch. Schenk, E. Gamm, Halbleiterschaltungstechnik, Springer Verlag, 14. Auflage, 2012, ISBN 3540428496

R. J. Baker, CMOS - Circuit Design, Layout and Simulation, J. Wiley & Sons Inc., 3. Auflage, 2011, ISBN: 047170055S

H. Göbel, Einführung in die Halbleiter-Schaltungstechnik, Berlin, Heidelberg Springer-Verlag Berlin Heidelberg, 2011, ISBN: 9783642208874 ISBN: 9783642208867

URL: http://site.ebrary.com/lib/alltitles/docDetail.action?docID=10499499

URL: http://dx.doi.org/10.1007/978-3-642-20887-4

URL: http://ebooks.ciando.com/book/index.cfm/bok_id/319955

URL: http://www.ciando.com/img/bo


Course L0864: Semiconductor Circuit Design
Typ Recitation Section (small)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Matthias Kuhl, Weitere Mitarbeiter
Language DE
Cycle SoSe
Content
  • Basic circuits and characteristic curves of bipolar transistors 
  • Basic circuits and characteristic curves of MOS transistors for amplifiers
  • Realization and dimensioning of operational amplifiers
  • Realization of logic functions
  • Basic circuits with MOS transistors for combinational and sequential logic
  • Memory circuits
  • Circuits for analog-to-digital and digital-to-analog converters
  • Design of exemplary circuits
Literature

U. Tietze und Ch. Schenk, E. Gamm, Halbleiterschaltungstechnik, Springer Verlag, 14. Auflage, 2012, ISBN 3540428496

R. J. Baker, CMOS - Circuit Design, Layout and Simulation, J. Wiley & Sons Inc., 3. Auflage, 2011, ISBN: 047170055S

H. Göbel, Einführung in die Halbleiter-Schaltungstechnik, Berlin, Heidelberg Springer-Verlag Berlin Heidelberg, 2011, ISBN: 9783642208874 ISBN: 9783642208867

URL: http://site.ebrary.com/lib/alltitles/docDetail.action?docID=10499499

URL: http://dx.doi.org/10.1007/978-3-642-20887-4

URL: http://ebooks.ciando.com/book/index.cfm/bok_id/319955

URL: http://www.ciando.com/img/bo


Module M1693: Computer Science for Engineers - Programming Concepts, Data Handling & Communication

Courses
Title Typ Hrs/wk CP
Computer Science for Engineers - Programming Concepts, Data Handling & Communication (L2689) Lecture 3 3
Computer Science for Engineers - Programming Concepts, Data Handling & Communication (L2690) Recitation Section (small) 2 3
Module Responsible Prof. Sibylle Fröschle
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
Skills


Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 10 % Attestation Testate finden semesterbegleitend statt.
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Renewable Energy: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Elective Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Systems: Elective Compulsory
Logistics and Mobility: Specialisation Information Technology: Compulsory
Mechatronics: Core Qualification: Compulsory
Process Engineering: Core Qualification: Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Compulsory
Course L2689: Computer Science for Engineers - Programming Concepts, Data Handling & Communication
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Sibylle Fröschle
Language DE
Cycle SoSe
Content
Literature

John V. Guttag: Introduction to Computation and Programming Using Python.
With Application to Understanding Data. 2nd Edition. The MIT Press, 2016.

Course L2690: Computer Science for Engineers - Programming Concepts, Data Handling & Communication
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sibylle Fröschle
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0734: Electrical Engineering Project Laboratory

Courses
Title Typ Hrs/wk CP
Electrical Engineering Project Laboratory (L0640) Project-/problem-based Learning 8 6
Module Responsible Prof. Christian Becker
Admission Requirements None
Recommended Previous Knowledge

Electrical Engineering I, Electrical Engineering II




Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to give a summary of the technical details of projects in the area of electrical engineering and illustrate respective relationships. They are capable of describing and communicating relevant problems and questions using appropriate technical language. They can explain the typical process of solving practical problems and present related results.


Skills

The students can transfer their fundamental knowledge on electrical engineering to the process of solving practical problems. They identify and overcome typical problems during the realization of projects in the context of electrical engineering. Students are able to develop, compare, and choose conceptual solutions for non-standardized problems.


Personal Competence
Social Competence

Students are able to cooperate in small, mixed-subject groups in order to independently derive solutions to given problems in the context of electrical engineering. They are able to effectively present and explain their results alone or in groups in front of a qualified audience. Students have the ability to develop alternative approaches to an electrical engineering problem independently or in groups and discuss advantages as well as drawbacks.


Autonomy

Students are capable of independently solving electrical engineering problems using provided literature. They are able to fill gaps in as well as extent their knowledge using the literature and other sources provided by the supervisor. Furthermore, they can meaningfully extend given problems and pragmatically solve them by means of corresponding solutions and concepts.


Workload in Hours Independent Study Time 68, Study Time in Lecture 112
Credit points 6
Course achievement None
Examination Subject theoretical and practical work
Examination duration and scale based on task + presentation
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Compulsory
Electrical Engineering: Core Qualification: Compulsory
Engineering Science: Specialisation Electrical Engineering: Compulsory
Engineering Science: Specialisation Electrical Engineering: Elective Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0640: Electrical Engineering Project Laboratory
Typ Project-/problem-based Learning
Hrs/wk 8
CP 6
Workload in Hours Independent Study Time 68, Study Time in Lecture 112
Lecturer Prof. Christian Becker, Dozenten des SD E
Language DE
Cycle SoSe
Content

Topics and projects cover the entire field of applications of electrical engineering. Typically, the students will prototype functional units and self-contained systems, such as radar devices, networks of sensors, amateur radio transceiver, power electronics based inverters, discrete computers, or atomic force microscopes. Different projects are devised on a yearly basis.



Literature

Alle zur Durchführung der Projekte sinnvollen Quellen (Skripte, Fachbücher, Manuals, Datenblätter, Internetseiten). / All sources that are useful for completion of the projects (lecture notes, textbooks, manuals, data sheets, internet pages).




Specialization Green Technologies

Module M1711: Green Technologies I

Courses
Title Typ Hrs/wk CP
Introduction Green Technologies (L2727) Seminar 2 2
Meteorology and Climate Systems - Introduction (L2726) Lecture 2 2
Meteorology and Climate Systems - Introduction (L2829) Recitation Section (small) 2 2
Module Responsible Prof. Martin Kaltschmitt
Admission Requirements None
Recommended Previous Knowledge

none

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Upon completion of this module, students will be able to describe and critically evaluate current environmental and climate problems, especially in Hamburg. Furthermore, they are able to find and process suitable approaches to solutions.  The students can compare learned technologies in the field of climate and environmental protection, develop and take a standpoint on them and defend it in discussions.

In addition, students can give an overview of the basics of meterology and climate.

Skills

The students are able to apply the knowledge they have acquired on sustainable technologies in the area of the environmentally and climate-friendly water, energy and climate nexus in order to explain solution approaches for a supply-secure provision.

Furthermore, the students are able to explain the procedures and basics on the topics of climate and meterology and apply them to renewable energy projects in the context of other modules.


Personal Competence
Social Competence

Students can

  • work together in a team of about 3-5 people,
  • discuss tasks on the topics of environmental, resource and climate protection in a subject-specific manner and develop joint solutions,
  • present their own work results to fellow students and
  • assess the performance of fellow students in comparison to their own performance and deal with feedback on their own performance.

 
  

Autonomy

The students are able to independently access sources about the question to be worked on. They are able to assess their respective learning status in consultation with supervisors and, on this basis, define further questions and the work steps necessary to solve them.

Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes None Presentation
Examination Written exam
Examination duration and scale 60 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Green Technologies: Compulsory
Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory
Orientation Studies: Core Qualification: Elective Compulsory
Course L2727: Introduction Green Technologies
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Martin Kaltschmitt, Dr. Marvin Scherzinger
Language DE
Cycle WiSe
Content
  • Preliminary discussion of the seminar
  • Interesting presentations by people responsible for climate and environmental protection in Hamburg, keyword: Green Port of Hamburg
  • Handing out of topics and tasks from the area of the seminar topic (green port of Hamburg) to individual students / groups of students (depending on the number of participating students
  • Presentation of the task / the topic to be worked on with PPT presentation or poster presentation of the results
Literature

Eigenständiges Literaturstudium in der Bibliothek und aus anderen Quellen.

Course L2726: Meteorology and Climate Systems - Introduction
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Dr. Stefan Bühler, Prof. Dr. Felix Ament
Language DE
Cycle WiSe
Content

The Earth's energy balance
Conservation of energy, radiation, greenhouse effect, radiation balance, radiative forcing
Local climate
Energy balance at the surface, canopy effects (vegetation, city, ...), topography effects, evaporation, role of the pedosphere
The water cycle
Reservoirs of water, Clausius-Clapeyron, hydrological sensitivity, extreme precipitation
The vertical structure of the atmosphere
Hydrostatics, stability, spheres and pauses, radiative-convective equilibrium
Clouds
Life cycle of a cloud, from water vapour to precipitation
A windy planet
Pressure gradient force, Coriolis force, global wind system, turbulence and log. wind profile Wind profile
Climate sensitivity
Forcing-response approach, climate sensitivity, methods of determination, current knowledge
Synoptics
High and low pressure areas, air masses and fronts, instabilities
Fast feedbacks in climate
Water vapour, temperature gradient, ice albedo, clouds
Weather and climate modelling
Discretisation and num. Solution, parametrisation, data assimilation, boundary conditions, ensemble predictions, chaos, parallel computers
Carbon cycle and earth history
Reservoirs of carbon, fossil fuels, earth ages, Urey reaction
Weather extremes
Rain, wind and heat - meteorological basics, statistical description & climate trends
Ice and sea level
Is the sea level rising? Role of ice in Earth's history, snowballs and greenhouses, Milankovitch cycles
The view from space

Literature Folien aus Vorlesung
Course L2829: Meteorology and Climate Systems - Introduction
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Dr. Stefan Bühler, Prof. Dr. Felix Ament
Language DE
Cycle WiSe
Content

The Earth's energy balance
Conservation of energy, radiation, greenhouse effect, radiation balance, radiative forcing
Local climate
Energy balance at the surface, canopy effects (vegetation, city, ...), topography effects, evaporation, role of the pedosphere
The water cycle
Reservoirs of water, Clausius-Clapeyron, hydrological sensitivity, extreme precipitation
The vertical structure of the atmosphere
Hydrostatics, stability, spheres and pauses, radiative-convective equilibrium
Clouds
Life cycle of a cloud, from water vapour to precipitation
A windy planet
Pressure gradient force, Coriolis force, global wind system, turbulence and log. wind profile Wind profile
Climate sensitivity
Forcing-response approach, climate sensitivity, methods of determination, current knowledge
Synoptics
High and low pressure areas, air masses and fronts, instabilities
Fast feedbacks in climate
Water vapour, temperature gradient, ice albedo, clouds
Weather and climate modelling
Discretisation and num. Solution, parametrisation, data assimilation, boundary conditions, ensemble predictions, chaos, parallel computers
Carbon cycle and earth history
Reservoirs of carbon, fossil fuels, earth ages, Urey reaction
Weather extremes
Rain, wind and heat - meteorological basics, statistical description & climate trends
Ice and sea level
Is the sea level rising? Role of ice in Earth's history, snowballs and greenhouses, Milankovitch cycles
The view from space

Literature Folien aus Übung

Module M1497: Measurement Technology for Chemical and Bioprocess Engineering

Courses
Title Typ Hrs/wk CP
Practical Course Measurement Technology (L2270) Practical Course 2 2
Measurement Technology (L2268) Lecture 2 2
Physical Fundamentals of Measurement Technology (L2269) Lecture 2 2
Module Responsible Prof. Alexander Penn
Admission Requirements None
Recommended Previous Knowledge

Technical interest, logical skills, integral- and differential calculus, basic physical concepts such as temperature, mass, velocity, etc..

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Physical basics: kinematics and dynamics (theory of motion), rotation of rigid bodies, energy and momentum, electricity, magnetism, basics of hydrodynamics, temperature and heat, ideal gas.

Metrology: SI units, measurement and measurement uncertainty, basics of sensor technology, physical principles, temperature measurement, pressure measurement, level measurement, flow measurement. Usage of Matlab scripts.

Practical course: Pressure drop in piping, calorimetry, image data acquisition, flow measurement, concentration measurement and mass transfer, capacitive measurements of solid concentrations, spectroscopy, error calculation, chromatography

Skills

Literature research, categorisation of thematical topics, analysis of an experimental test stand, preparation of test protocol, first programming with Matlab, use of relevant laboratory measurement technology, preparation of a test protocol, execution of calculations.

Personal Competence
Social Competence

Arrangement and division of work in practical training and learning groups, assessment of own level of knowledge, work on the experimental stand in groups, consultation with persons responsible for teaching, presentation of the preparation of the experiment, tolerance of frustration

Autonomy

Time management of the workload, independent development of the thematic basics, personal responsibility for the provision of protective equipment and work clothing, practice of presentation in front of a group, active participation in the lectures, formulation of enquiries/detailed questions by using clicker.

Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 20 % Excercises Popup-Quizzes währen der Vorlesung
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Process Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Green Technologies: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Chemical and Bioengineering: Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory
Orientation Studies: Core Qualification: Elective Compulsory
Process Engineering: Core Qualification: Compulsory
Course L2270: Practical Course Measurement Technology
Typ Practical Course
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Alexander Penn
Language DE
Cycle WiSe
Content

In the Practical Course in Measurement Technology the theory from the lectures "Physical Fundamentals of Measurement Technology" and "Measurement Technology" will be applied in practice. In small groups students learn how to handle different measurement techniques from industry and research. During the practical course, a wide range of different measurement methods will be taught, including the use of HLPC columns for qualitative mass analysis, the determination of mass transfer coefficients using optical oxygen sensors or the evaluation of image data to obtain process parameters. The practical course also teaches how measurement data are statistically evaluated and experiments are correctly documented. 

Literature

Hug, H.: Instrumentelle Analytik. Theorie und Praxis. Verlag Europa-Lehrmittel, Haan-Gruiten, 2015.

Kamke, W.: Der Umgang mit experimentellen Daten, insbesondere Fehleranalyse, im physikalischen Anfänger-Praktikum. Eine elementare Einführung. W. Kamke, Kirchzarten [Keltenring 197], 2010.

Strohrmann, G.: Messtechnik im Chemiebetrieb. Einführung in das Messen verfahrenstechnischer Größen. Oldenbourg, München, 2004.

Course L2268: Measurement Technology
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Alexander Penn
Language DE
Cycle WiSe
Content

Basic introduction to measurement technology for process engineers. Includes error calculation, measurement units, calibration, measurement data analysis, measurement techniques and sensors. Particular attention is paid to the measurement of temperature, pressure, flow and level. The lecture provides insights into the latest developments in sensor technology in measurement technology and process engineering.



Literature

Fraden, Jacob (2016): Handbook of Modern Sensors. Physics, Designs, and Applications. 5th ed. 2016. Cham, New York: Springer. Online verfügbar unter http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1081958.

Hering, Ekbert; Schönfelder, Gert (2018): Sensoren in Wissenschaft und Technik. Funktionsweise und Einsatzgebiete. 2. Aufl. 2018. Online verfügbar unter http://dx.doi.org/10.1007/978-3-658-12562-2.

Strohrmann, Günther (2004): Messtechnik im Chemiebetrieb. Einführung in das Messen verfahrenstechnischer Größen. 10., durchges. Aufl. München: Oldenbourg.

Tränkler, Hans-Rolf; Reindl, Leonhard M. (2014): Sensortechnik. Handbuch für Praxis und Wissenschaft. 2., völlig neu bearb. Aufl. Berlin: Springer Vieweg (VDI-Buch). Online verfügbar unter http://dx.doi.org/10.1007/978-3-642-29942-1.

Webster, John G.; Eren, Halit B. (2014): Measurement, Instrumentation, and Sensors Handbook, Second Edition. Electromagnetic, Optical, Radiation, Chemical, and Biomedical Measurement. 2nd ed. Hoboken: Taylor and Francis. Online verfügbar unter http://gbv.eblib.com/patron/FullRecord.aspx?p=1407945.


Course L2269: Physical Fundamentals of Measurement Technology
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Christian Schroer
Language DE
Cycle WiSe
Content

Classical mechanics - kinematics, dynamics, energy, momentum and conservation laws, rigid bodies, translation and rotation, angular momentum.
Mechanics of gases and fluids - hydrostatics and hydrodynamics 
Thermodynamics - temperature, heat, heat transport, ideal gas, changes of state, cyclic processes, laws of thermodynamics
Electricity - electrostatics, electrical conduction, magnetism, Lorentz force, Maxwell's equations (integral form)

Literature Paul A. Tipler, Gene Mosca: Physik für Wissenschaftler und Ingenieure, Spektrum Verlag

D. Meschede (Hrsg.): Gerthsen Physik, Springer-Verlag

Jay Orear: Physik, Hanser Verlag

D. Halliday, R. Resnick, J. Walker: Physik, Wiley VCH

Module M0536: Fundamentals of Fluid Mechanics

Courses
Title Typ Hrs/wk CP
Fundamentals of Fluid Mechanics (L0091) Lecture 2 2
Fundamentals on Fluid Mechanics (L2933) Recitation Section (small) 2 2
Fluid Mechanics for Process Engineering (L0092) Recitation Section (large) 2 2
Module Responsible Prof. Michael Schlüter
Admission Requirements None
Recommended Previous Knowledge
  • Mathematics I+II+III
  • Technical Mechanics I+II
  • Technical Thermodynamics I+II
  • Working with force balances
  • Simplification and solving of partial differential equations
  • Integration
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to:

  • explain the difference between different types of flow
  • give an overview for different applications of the Reynolds Transport-Theorem in process engineering
  • explain simplifications of the Continuity- and Navier-Stokes-Equation by using physical boundary conditions
Skills

The students are able to

  • describe and model incompressible flows mathematically
  • reduce the governing equations of fluid mechanics by simplifications to archive quantitative solutions e.g. by integration
  • notice the dependency between theory and technical applications
  • use the learned basics for fluid dynamical applications in fields of process engineering 
Personal Competence
Social Competence

The students

  • are capable to gather information from subject related, professional publications and relate that information to the context of the lecture and
  • able to work together on subject related tasks in small groups. They are able to present their results effectively in English (e.g. during small group exercises)
  • are able to work out solutions for exercises by themselves, to discuss the solutions orally and to present the results.
Autonomy

The students are able to

  • search further literature for each topic and to expand their knowledge with this literature,
  • work on their exercises by their own and to evaluate their actual knowledge with the feedback.
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 5 % Midterm
Examination Written exam
Examination duration and scale 3 hours
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Green Technologies: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Chemical and Bioengineering: Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory
Integrated Building Technology: Core Qualification: Compulsory
Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Process Engineering: Core Qualification: Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory
Course L0091: Fundamentals of Fluid Mechanics
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Michael Schlüter
Language DE
Cycle SoSe
Content
  • fluid properties
  • hydrostatic
  • overall balances - theory of streamline
  • overall balances- conservation equations
  • differential balances - Navier Stokes equations
  • irrotational flows - Potenzialströmungen
  • flow around bodies - theory of physical similarity
  • turbulent flows
  • compressible flows
Literature
  1. Crowe, C. T.: Engineering fluid mechanics. Wiley, New York, 2009.
  2. Durst, F.: Strömungsmechanik: Einführung in die Theorie der Strömungen von Fluiden. Springer-Verlag, Berlin, Heidelberg, 2006.
  3. Fox, R.W.; et al.: Introduction to Fluid Mechanics. J. Wiley & Sons, 1994
  4. Herwig, H.: Strömungsmechanik: Eine Einführung in die Physik und die mathematische Modellierung von Strömungen. Springer Verlag, Berlin, Heidelberg, New York, 2006
  5. Herwig, H.: Strömungsmechanik: Einführung in die Physik von technischen Strömungen: Vieweg+Teubner Verlag / GWV Fachverlage GmbH, Wiesbaden, 2008
  6. Kuhlmann, H.C.:  Strömungsmechanik. München, Pearson Studium, 2007
  7. Oertl, H.: Strömungsmechanik: Grundlagen, Grundgleichungen, Lösungsmethoden, Softwarebeispiele. Vieweg+ Teubner Verlag / GWV Fachverlage GmbH, Wiesbaden, 2009
  8. Schade, H.; Kunz, E.: Strömungslehre. Verlag de Gruyter, Berlin, New York, 2007
  9. Truckenbrodt, E.: Fluidmechanik 1: Grundlagen und elementare Strömungsvorgänge dichtebeständiger Fluide. Springer-Verlag, Berlin, Heidelberg, 2008
  10. Schlichting, H. : Grenzschicht-Theorie. Springer-Verlag, Berlin, 2006
  11. van Dyke, M.: An Album of Fluid Motion. The Parabolic Press, Stanford California, 1882.
  12. White, F.: Fluid Mechanics, Mcgraw-Hill, ISBN-10: 0071311211, ISBN-13: 978-0071311212, 2011
Course L2933: Fundamentals on Fluid Mechanics
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Michael Schlüter
Language DE
Cycle SoSe
Content

In the group exercise, the contents of the lecture are taken up and deepened by means of exercises. The exercise tasks correspond in quality and scope to the tasks of the written exam. Topics: Reynolds transport-theorem, pipe flow, free jet, angular momentum, Navier-Stokes equations, potential theory, mock exam, pipe hydraulics, pump design.

Literature

Heinz Herwig: Strömungsmechanik, Eine Einführung in die Physik und die mathematische Modellierung von Strömungen, Springer Verlag, Berlin, 978-3-540-32441-6 (ISBN)

Herbert Oertel, Martin Böhle, Thomas Reviol: Strömungsmechanik für Ingenieure und Naturwissenschaftler, Springer Verlag, Berlin, ISBN: 978-3-658-07786-0

Joseph Spurk, Nuri Aksel: Strömungslehre, Einführung in die Theorie der Strömungen, Springer Verlag, Berlin, ISBN: 978-3-642-13143-1.

Course L0092: Fluid Mechanics for Process Engineering
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Michael Schlüter
Language DE
Cycle SoSe
Content

In the exercise-lecture the topics from the main lecture are discussed intensively and transferred into application. For that, the students receive example tasks for download. The students solve these problems based on the lecture material either independently or in small groups. The solution is discussed with the students under scientific supervision and parts of the solutions are presented on the chalk board. At the end of each exercise-lecture, the correct solution is presented on the chalk board. Parallel to the exercise-lecture tutorials are held where the student solve exam questions under a set time-frame in small groups and discuss the solutions afterwards.

  

Literature
  1. Crowe, C. T.: Engineering fluid mechanics. Wiley, New York, 2009.
  2. Durst, F.: Strömungsmechanik: Einführung in die Theorie der Strömungen von Fluiden. Springer-Verlag, Berlin, Heidelberg, 2006.
  3. Fox, R.W.; et al.: Introduction to Fluid Mechanics. J. Wiley & Sons, 1994
  4. Herwig, H.: Strömungsmechanik: Eine Einführung in die Physik und die mathematische Modellierung von Strömungen. Springer Verlag, Berlin, Heidelberg, New York, 2006
  5. Herwig, H.: Strömungsmechanik: Einführung in die Physik von technischen Strömungen: Vieweg+Teubner Verlag / GWV Fachverlage GmbH, Wiesbaden, 2008
  6. Kuhlmann, H.C.:  Strömungsmechanik. München, Pearson Studium, 2007
  7. Oertl, H.: Strömungsmechanik: Grundlagen, Grundgleichungen, Lösungsmethoden, Softwarebeispiele. Vieweg+ Teubner Verlag / GWV Fachverlage GmbH, Wiesbaden, 2009
  8. Schade, H.; Kunz, E.: Strömungslehre. Verlag de Gruyter, Berlin, New York, 2007
  9. Truckenbrodt, E.: Fluidmechanik 1: Grundlagen und elementare Strömungsvorgänge dichtebeständiger Fluide. Springer-Verlag, Berlin, Heidelberg, 2008
  10. Schlichting, H. : Grenzschicht-Theorie. Springer-Verlag, Berlin, 2006
  11. van Dyke, M.: An Album of Fluid Motion. The Parabolic Press, Stanford California, 1882.
  12. White, F.: Fluid Mechanics, Mcgraw-Hill, ISBN-10: 0071311211, ISBN-13: 978-0071311212, 2011

Module M1714: Conventional Energy Systems and Energy Industry

Courses
Title Typ Hrs/wk CP
Power Industry (L0316) Lecture 1 1
Energy markets and energy trading (L2744) Lecture 2 2
Fossil Energy Systems (L2745) Lecture 2 2
Fossil Energy Systems (L2746) Recitation Section (large) 1 1
Module Responsible Prof. Martin Kaltschmitt
Admission Requirements None
Recommended Previous Knowledge none
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Upon completion of this module, students will be able to provide an overview of characteristics of energy systems. They can explain the issues that arise. Furthermore, they are able to explain knowledge of energy production, energy distribution and energy trade in this context, taking into account contexts bordering on other disciplines. The students can explain this knowledge, which is applicable to almost all energy systems, in particular detail for conventional energy systems and take a critical stance on them. Furthermore, they can explain the environmental impact of using conventional energy systems. They also have an overview of reserves and resources as well as global and national market volumes. This also includes the legal framework, which should especially take into account the mitigation of climate change.

Skills

Students are able to apply methodologies for determining energy demand or energy supply to different types of energy systems. Furthermore, they can evaluate energy systems technically, ecologically and economically as well as systemically and are also able to design them under certain given conditions. They are able to select the regulations necessary for this in a subject-specific manner, especially by means of non-standard solutions to a problem.

Students are able to orally explain issues from the subject area and approaches to dealing with them and to classify them in the respective context.

Personal Competence
Social Competence

The students are able to analyze suitable technical alternatives and to assess them with technical, economical and ecological criteria under sustainability aspects.

Autonomy

Students can independently exploit sources , acquire the particular knowledge about the subject area and transform it to new questions.

Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Green Technologies: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Green Technologies: Compulsory
Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory
Course L0316: Power Industry
Typ Lecture
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Martin Kaltschmitt, Prof. Andreas Wiese
Language DE
Cycle SoSe
Content
  • Electrical energy in the energy system
  • Demand and use of electrical energy (households, industry, "new" buyers (including e-mobility))
  • Electricity generation
    • electricity generation technologies using fossil fuels and their characteristics
    • combined heat and power technologies and their production characteristics
    • electricity generation from renewable energy technologies and their characteristics
  • Power distribution
    • "classic" distribution of electrical energy
    • challenges of fluctuating electricity generation by distributed systems (electricity market, electricity stock exchange, emissions trading)
  • District heating industry
  • Legal and administrative aspects
    • Energy Act
    • support instruments for renewable energy
    • CHP Act
  • Cost and efficiency calculation
Literature

Folien der Vorlesung

Course L2744: Energy markets and energy trading
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Dr. Christian Wulf
Language DE
Cycle SoSe
Content

This lecture addresses the mechanisms by which price formation works in global and national energy markets. For this purpose, the global price formation mechanism for crude oil and for natural gas and coal is explained. The national energy markets (e.g. power exchange, gas markets) are also discussed. The legal framework, which is ultimately decisive for market price formation, is always addressed. In this context, the various instruments with which the energy markets are to be influenced in such a way that climate protection already takes effect with market-based measures are also discussed. The expected future development/change of the energy markets against the background of the increasing use of renewable energies will also be addressed.

Literature
Course L2745: Fossil Energy Systems
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Martin Kaltschmitt
Language DE
Cycle SoSe
Content

The aim of this lecture is to present and discuss the different fossil energy systems in their entirety. This includes the petroleum, natural gas, hard coal, lignite and nuclear energy systems. In each case, the formation processes, the exploration technologies, the exploration processes, the extraction technologies, the further processing processes and the corresponding utilization are presented. In addition, the respective markets and their development, the existing reserves and resources, and the environmental effects associated with extraction and utilization are discussed. A total system approach is pursued, which includes a presentation of the entire energy system including the given interdependencies and (geo)political dependencies. The current changes in these energy systems for Germany and internationally, and those that are expected in the coming years, are also discussed. In addition, the respective reserve and resource availability is illuminated.

Literature Vorlesungsunterlagen
Course L2746: Fossil Energy Systems
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Martin Kaltschmitt
Language DE
Cycle SoSe
Content

The goal of this exercise is to present and discuss the different fossil energy systems in their entirety. This includes the petroleum, natural gas, hard coal, lignite and nuclear energy systems. In each case, the formation processes, the exploration technologies, the exploration processes, the extraction technologies, the further processing processes and the corresponding utilization are presented. In addition, the respective markets and their development, the existing reserves and resources, and the environmental effects associated with extraction and utilization are discussed. A total system approach is pursued, which includes a presentation of the entire energy system including the given interdependencies and (geo)political dependencies. The current changes in these energy systems for Germany and internationally, and those that are expected to occur in the coming years, are also discussed. In addition, the respective reserve and resource availability is illuminated.

Literature Unterlagen des Übung

Module M1715: Renewable Energies

Courses
Title Typ Hrs/wk CP
Renewable Energies I (L2740) Lecture 2 2
Renewable Energies I (L2742) Recitation Section (large) 1 1
Renewable Energies II (L2741) Lecture 2 2
Renewable Energies II (L2743) Recitation Section (large) 1 1
Module Responsible Prof. Martin Kaltschmitt
Admission Requirements None
Recommended Previous Knowledge none
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Upon completion of this module, students will be able to provide an overview of characteristics of renewable energy systems. They will be able to explain the issues that arise in these systems. Furthermore, they are able to explain knowledge of energy supply, energy distribution and energy trading in this context, taking into account contexts bordering on specific disciplines. The students can explain this knowledge in detail for such energy systems and take a critical stand on it. Furthermore, they can explain the environmental impact of using renewable energy systems and have an overview of the economic classification of the respective options.

Skills

Students are able to apply methodologies for determining energy demand or energy supply to different types of renewable energy systems. Furthermore, they can evaluate such energy systems technically, ecologically and economically as well as systemically and also design them under certain given conditions. They are able to select the regulations necessary for this in a subject-specific manner, especially by means of non-standard solutions to a problem.

Students are able to orally explain issues from the subject area and approaches to dealing with them and to classify them in the respective context.

Personal Competence
Social Competence

Students are able to investigate suitable technical alternatives and ultimately evaluate them based on technical, economic and ecological criteria - and thus from a sustainability perspective.


Autonomy

Students will be able to independently access sources about the field, acquire knowledge and transform it to address new issues.


Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Green Technologies: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Green Technologies: Compulsory
Civil- and Environmental Engineering: Specialisation Civil Engineering: Elective Compulsory
Civil- and Environmental Engineering: Specialisation Traffic and Mobility: Elective Compulsory
Civil- and Environmental Engineering: Specialisation Water and Environment: Elective Compulsory
Chemical and Bioprocess Engineering: Specialisation Chemical Engineering: Compulsory
Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory
Process Engineering: Core Qualification: Compulsory
Course L2740: Renewable Energies I
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Martin Kaltschmitt
Language DE
Cycle SoSe
Content

This module includes a presentation of the renewable energy supply and a discussion of the respective technologies for providing the desired final or useful energy. Specifically, this includes the options for solar energy use for heat and power generation (i.e., passive solar energy use, solar collectors for low-temperature heat provision, solar thermal power generation, photovoltaic power generation), wind energy use for power generation (i.e. onshore and offshore wind power use), hydroelectric power use for electricity generation (i.e., run-of-river and storage hydroelectric power), ocean energy use for electricity generation (including tidal power plants), and geothermal energy use for heat and electricity generation (i.e., near-surface use by means of heat pumps, deep geothermal energy use for heat and/or electricity generation).

Literature

Kaltschmitt, M.; Streicher, W.; Wiese, A. (Hrsg.): Erneuerbare Energien - System­technik, Wirtschaft­lichkeit, Umweltaspekte; Springer, Berlin, Heidelberg, 2020, 6. Auflage

Course L2742: Renewable Energies I
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Martin Kaltschmitt
Language DE
Cycle SoSe
Content

Students work on different tasks in the field of renewable energies. They present their solutions in the exercise lesson and discuss it with other students and the lecturer.

Possible tasks in the field of renewable energies are:

  • Solar thermal heat
  • Concentrating solare power
  • Photovoltaic
  • Windenergie
  • Hydropower
  • Heat pump

Deep geothermal energy

Literature

Kaltschmitt, M.; Streicher, W.; Wiese, A. (Hrsg.): Erneuerbare Energien - System­technik, Wirtschaft­lichkeit, Umweltaspekte; Springer, Berlin, Heidelberg, 2020, 6. Auflage

Course L2741: Renewable Energies II
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Martin Kaltschmitt
Language DE
Cycle SoSe
Content

This lecture covers all options for energy supply from biomass; this includes the supply of heat, electricity and fuels. The biomass resource and its origin will be discussed first. Afterwards the biomass supply is addressed, which bridges the gap between biomass generation and utilization. Subsequently, the different conversion options are discussed. Only those options are presented in depth that have a corresponding significance on the market in Germany and Europe. This includes

(a) heat generation from biogenic solid fuels in small and large-scale plants

(b) power generation from solid biomass via combustion

(c) a biogas production from residues, by-products and waste,

(d) alcohol production from sugar and starch

(e) biodiesel production from vegetable oils.

Special attention is also paid to the corresponding environmental aspects. An economic classification of the various options is also provided.

Literature Unterlagen der Vorlesung
Course L2743: Renewable Energies II
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Martin Kaltschmitt
Language DE
Cycle SoSe
Content

The students work on tasks in the field of renewable energies the field "energy from biomass". They present their solution approaches in the exercise group and discuss them with their fellow students and the teaching staff afterwards.

Literature

Unterlagen der Vorlesung

Module M0686: Sanitary Engineering I

Courses
Title Typ Hrs/wk CP
Wastewater Disposal (L0276) Lecture 2 2
Wastewater Disposal (L0278) Recitation Section (large) 1 1
Drinking Water Supply (L0306) Lecture 2 1
Drinking Water Supply (L0308) Recitation Section (large) 1 2
Module Responsible Prof. Ralf Otterpohl
Admission Requirements None
Recommended Previous Knowledge
  • Basic knowledge on Chemistry and Biology
  • Hydraulics of pipe systems and open channels
  • Basic knowledge on water management: water quantity and water quality
  • Basic knowledge on Environmental Legislation: Federal Water Act
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students can examplify their expert knowledge on urban water infrastructures. They can present the derivation and detailed explanation of important standards for the design of drinking water supply and wastewater disposal systems in Germany and they are capable of reproducing the relevant empiricals assumptions and scientific simplifcations. The students are able to present and discuss sanitary engineering processes and the technologies used for drinking and wastewater treatment. They can also assess existing problems in the field of sanitary engineering by considering legal, risk and saftey aspects. Furthermore, they know how to draft the features and effectiveness of important  technologies of the future such as high- and low-pressure membrane filtration systems and techniques for the removal of trace pollutants.


Skills

The students are able to apply the relevant standards and guidelines for the design and operation of urban water infrastructures independently. Their expertise comprises expert skills to design drinking water supply and urban drainage systems as well as the associated treatment facilities. Besides the acquirement of technical skills the students are able to address and solve biochemical problems in the filed of drinking water and wastewater treatment. The students are also able to develop ideas of their own to improve the existing water related infrastructures, systems and concepts.


Personal Competence
Social Competence

Social skills are not targeted in this module.



Autonomy

Students are able to form concepts on their own to optimize urban water infrastructure processes. Therefore they can acquire appropriate knowledge when being given some clues or information with regard to the approach to problems (preparation and follow-up of the exercises).

Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Green Technologies: Compulsory
Civil- and Environmental Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory
Integrated Building Technology: Core Qualification: Compulsory
Course L0276: Wastewater Disposal
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Ralf Otterpohl
Language DE
Cycle SoSe
Content

This lecture focusses on urban drainage and wastewater treatment.

Urban Drainage 

  • Design of urban drainage systems (combined and separate sewer systems) 
  • Special structures  
  • Rainwater management

Wastewater treatement

  • Mechanical treatment (Screens, Grit chamber, Preliminary Sedimentation, Secondary Settlement Tanks, Membrane Filtration)
  • Biological Treatment (aerobic, anaerobic, anoxic)
  • Special Wastewater Treatment Processes (Ozonation, Adsorption)
Literature

Die hier aufgeführte Literatur ist in der Bibliothek der TUHH verfügbar.

The literature listed below is available in the library of the TUHH.

  • Taschenbuch der Stadtentwässerung : mit 10 Tafeln und 67 Tabellen, Imhoff, K., & . (2009). (31., verbesserte Aufl.). München: Oldenbourg Industrieverl.
  • Abwasser : Technik und Kontrolle. Neitzel, Volkmar, and. . Weinheim [u.a.]: Wiley-VCH, 1998.
  • Kommunale Kläranlagen : Bemessung, Erweiterung, Optimierung, Betrieb und Kosten, (2009). Günthert, F. Wolfgang: (3., völlig neu bearb. Aufl.). Renningen: expert-Verl.
  • Water and wastewater technology Hammer, M. J. 1., & . (2012). (7. ed., internat. ed.). Boston [u.a.]: Pearson Education International.
  • Water and wastewater engineering : design principles and practice: Davis, M. L. 1. (2011). . New York, NY: McGraw-Hill.
  • Biological wastewater treatment: (2011). C. P. Leslie Grady, Jr.  (3. ed.). London, Boca Raton,  Fla. [u.a.]: IWA Publ. 
Course L0278: Wastewater Disposal
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Ralf Otterpohl
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L0306: Drinking Water Supply
Typ Lecture
Hrs/wk 2
CP 1
Workload in Hours Independent Study Time 2, Study Time in Lecture 28
Lecturer Dr. Klaus Johannsen, Prof. Mathias Ernst
Language DE
Cycle SoSe
Content

The lecture on drinking water supply provides students with a basic understanding of the entire water supply system, encompassing water catchment, water treatment including pump systems, water storage, and the distribution system that carries water to the consumer.

Initially, basics in hydraulics and pump systems are presented (system curve and pump curve). Students learn how the duty point of the pump is determined.  Students learn about different water resources and will be able to design groundwater wells. Students learn how to determine water demand and derive planning values for designing the different elements of a water supply system (e.g. firefighting requirements). The functions of reservoirs, their design and arrangement in the water supply system are explained.  Students will be able to design simple water distribution systems.

A further part of the lecture deals with the processes involved in drinking water supply. This includes a presentation of the essential mechanisms and layout parameters for sedimentation, filtration, coagulation, membrane treatment, adsorption, water softening, gas exchange, ion exchange and disinfection. The basics of process treatment technology will be built on with parallel analysis of the impacts on chemical and physical water quality parameters.


Literature

Gujer, Willi (2007): Siedlungswasserwirtschaft. 3., bearb. Aufl., Springer-Verlag.

Karger, R., Cord-Landwehr, K., Hoffmann, F. (2005): Wasserversorgung. 12., vollst. überarb. Aufl., Teubner Verlag

Rautenberg, J. et al. (2014): Mutschmann/Stimmelmayr Taschenbuch der Wasserversorgung. 16. Aufl., Springer-Vieweg Verlag.

DVGW Lehr- und Handbuch Wasserversorgung: Wasseraufbereitung - Grundlagen und Verfahren, m. CD-ROM: Band 6 (2003).


Course L0308: Drinking Water Supply
Typ Recitation Section (large)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Dr. Klaus Johannsen, Prof. Mathias Ernst
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1712: Green Technologies II

Courses
Title Typ Hrs/wk CP
Practical Exercise Environmental Technology (L1387) Practical Course 1 1
Pollutant analysis (L2996) Lecture 2 3
Environmental Technologie (L0326) Lecture 2 2
Module Responsible Dr. Marvin Scherzinger
Admission Requirements None
Recommended Previous Knowledge

Fundamentals of inorganic/organic chemistry and biology.

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

With the completion of this modul the students obtain profound knowledge of environmental technology. They are able to describe the behaviour of chemicals in the environment. Students can give an overview of scientific disciplines involved. They can explain terms and allocate them to related methods.

Additional students acquire in-depth knowledge of important cause-effect chains of potential environmental problems which might occur from production processes, projects or construction measures. They have knowledge about the methodological diversity and are competent in dealing with different methods and instruments to assess environmental impacts. Besides the students are able to estimate the complexity of these environmental processes as well as uncertainties and difficulties with their measurement.

Skills

Students are able to propose appropriate management and mitigation measures for environmental problems. They are able to determine geochemical parameters and to assess the potential of pollutants to migrate and transform. The students are able to work out well founded opinions on how Environmental Technology contributes to sustainable development, and they can present and defend these opinons in front of and against the group.

The students are able to select a suitable method for the respective case from the variety of assessment methods. Thereby they can develop suitable solutions for managing and mitigating environmental problems in a business context. They are able to carry out Life Cycle Impact Assessments independently and can apply the software programs OpenLCA and the database EcoInvent. After finishing the course the students have the competence to critically judge research results or other publications on environmental impacts.

Personal Competence
Social Competence

The students are able to discuss the various technical and scientific tasks, both subject-specific and multidisciplinary. They are able to develop different approaches to the task as a group as well as to discuss their theoretical or practical implementation.

Due to the selected lecture topics, the students receive insights into the multi-layered issues of the environment protection and the concept of sustainability. Their sensitivity and consciousness towards these subjects are raised and which helps to raise their awareness of their future social responsibilities in their role as engineers.

Autonomy

The students learn to research, process and present a scientific topic independently. They are able to carry out independent scientific work. They can solve an environmental problem in a business context and are able to judge results of other publications.


Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Green Technologies: Compulsory
Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory
Course L1387: Practical Exercise Environmental Technology
Typ Practical Course
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Martin Kaltschmitt, Dr. Marvin Scherzinger
Language DE
Cycle SoSe
Content

The practical course Environmental Engineering currently consists of 5 experiments, which deal with the different focal points of environmental engineering in the areas of air, water, soil, energy and noise. The following experiments are carried out for this purpose:

biological degradation of artificial materials,

fine dust measurement in the air,

water analysis,

noise emission measurement,

photovoltaic energy 


Within the lab course students discuss the various technical and scientific tasks, both subject-specific and multidisciplinary. They discuss different approaches to the task as well as it's theoretical or practical implementation.

Literature Folien der Einführungsveranstaltung
Course L2996: Pollutant analysis
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr. Marvin Scherzinger
Language DE
Cycle WiSe
Content

In this course, modern analytical methods are presented that are used for the quantification of pollutants in the environmental compartments soil, water and air. In doing so, the students deepen their theoretical knowledge with regard to working with standardized methods and learn to make statements about the quality of test results.    

Literature Vorlesungsfolien
Course L0326: Environmental Technologie
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Martin Kaltschmitt, Dr. Marvin Scherzinger
Language DE
Cycle WiSe
Content
  1. Introductory seminar on environmental science:
  2. Environmental impact and adverse effects
  3. Wastewater technology
  4. Air pollution control
  5. Noise protection
  6. Waste and recycling management
  7. Soil and ground water protection
  8. Renewable energies
  9. Resource conservation and energy efficiency
Literature

Förster, U.: Umweltschutztechnik; 2012; Springer Berlin (Verlag) 8., Aufl. 2012; 978-3-642-22972-5 (ISBN)


Module M0538: Heat and Mass Transfer

Courses
Title Typ Hrs/wk CP
Heat and Mass Transfer (L0101) Lecture 2 2
Heat and Mass Transfer (L0102) Recitation Section (small) 1 2
Heat and Mass Transfer (L1868) Recitation Section (large) 1 2
Module Responsible Prof. Irina Smirnova
Admission Requirements None
Recommended Previous Knowledge

Basic knowledge: Technical Thermodynamics


Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • The students are capable of explaining qualitative and determining quantitative heat transfer in procedural apparatus (e. g. heat exchanger, chemical reactors).
  • They are capable of distinguish and characterize different kinds of heat transfer mechanisms namely heat conduction, heat transfer and thermal radiation.
  • The students have the ability to explain the physical basis for mass transfer in detail and to describe mass transfer qualitative and quantitative by using suitable mass transfer theories.
  • They are able to depict the analogy between heat- and mass transfer and to describe complex linked processes in detail.



Skills
  • The students are able to set reasonable system boundaries for a given transport problem by using the gained knowledge and to balance the corresponding energy and mass flow, respectively.
  • They are capable to solve specific heat transfer problems (e.g. heated chemical reactors, temperature alteration in fluids) and to calculate the corresponding heat flows.
  • Using dimensionless quantities, the students can execute scaling up of technical processes or apparatus.
  • They are able to distinguish between diffusion, convective mass transition and mass transfer. They can use this knowledge for the description and design of apparatus (e.g. extraction column, rectification column).
  • In this context, the students are capable to choose and design fundamental types of heat and mass exchanger for a specific application considering their advantages and disadvantages, respectively.
  • In addition, they can calculate both, steady-state and non-steady-state processes in procedural apparatus.
  •  The students are capable to connect their knowledge obtained in this course  with knowlegde of other courses (In particular the courses thermodynamics, fluid mechanics and chemical process engineering) to solve concrete technical problems.


Personal Competence
Social Competence
  • The students are capable to work on subject-specific challenges in teams and to present the results orally in a reasonable manner to tutors and other students.


Autonomy
  • The students are able to find and evaluate necessary information from suitable sources
  • They are able to prove their level of knowledge during the course with accompanying procedure continuously (clicker-system, exam-like assignments) and on this basis they can control their learning processes.


Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 minutes; theoretical questions and calculations
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Green Technologies: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Bioprocess Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Process Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Chemical and Bioengineering: Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Energy and Environmental Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Process Engineering: Core Qualification: Compulsory
Course L0101: Heat and Mass Transfer
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Irina Smirnova
Language DE
Cycle WiSe
Content
  1. Heat transfer
    • Introduction, one-dimensional heat conduction
    • Convective heat transfer
    • Multidimensional heat conduction
    • Non-steady heat conduction
    • Thermal radiation
  2. Mass transfer
    • one-way diffusion, equimolar countercurrent diffusion
    • boundary layer theory, non-steady mass transfer
    • Heat and mass transfer single particle/ fixed bed
    • Mass transfer and chemical reactions

Literature
  1. H.D. Baehr und K. Stephan: Wärme- und Stoffübertragung, Springer
  2. VDI-Wärmeatlas



Course L0102: Heat and Mass Transfer
Typ Recitation Section (small)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Irina Smirnova
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L1868: Heat and Mass Transfer
Typ Recitation Section (large)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Irina Smirnova
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Focus Renewable Energy

Module M1713: Green Technologies III

Courses
Title Typ Hrs/wk CP
Study Work Green Technologies (L2766) Project Seminar 2 4
Scientific Work and Writing (L2765) Seminar 2 2
Module Responsible Dozenten des Studiengangs
Admission Requirements None
Recommended Previous Knowledge keine
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students, based on a literature survey, learn to study in detail a subject theme from the disciplines of green technologies and deliver afterwards a summary presentation to a specialised audience. Environmental issues and their multidisciplinary linkages are preferred, when selecting the thematic area of these studies. Through their own written contribution the students communicate an overview over the subject and practice technical writing. With the discussion the students practice scientific debating on a specialised subject matter.

Skills

The students can, when working on a technical topic not familiar to them:

  • conduct a literature survey
  • choose the relevant information for their presentation
  • prepare a written summary
  • present results in front of peers and staff
  • correctly cite and reference sources.
Personal Competence
Social Competence

The students practice a critical assessment of the literature in a predefined specialised theme and learn to give presentations on their own technical sub-topic tailored to their public and discuss with the audience. When attending technical presentations, the students can formulate questions to other speakers and participate in the ensuing discussion.

The fulfilment of the tasks combines independent work with group and teamwork.

Autonomy

The students can, guided by instructors, critically reflect on their learning and work status, and write a scientific report.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Study work
Examination duration and scale ?
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Renewable Energy: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Water and Environmental Engineering: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Water: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Systems: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Bioresource Technology: Elective Compulsory
Course L2766: Study Work Green Technologies
Typ Project Seminar
Hrs/wk 2
CP 4
Workload in Hours Independent Study Time 92, Study Time in Lecture 28
Lecturer Dozenten des Studiengangs
Language DE
Cycle WiSe
Content

Students carry out a research project in a scientific field under the guidance of an academic staff member. For this purpose, the student can approach the staff of the respective institute and discuss a topic. The topic is then worked on within 4 weeks and regular consultations are held with the supervisor. The student research project should be the size of a scientific article.

Literature
Course L2765: Scientific Work and Writing
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Dozenten des Studiengangs, Dr. Detlev Bieler, Florian Hagen
Language DE
Cycle WiSe
Content

The seminar offers an introduction into the diverse aspects of academic research and writing: Finding the topic, finding specialized information, knowledge organisation, writing, presenting and publishing. Suggestions for reflecting own processes of learning, informing and writing - in addition to practical recommendations and tips - facilitate the start and the creation of bachelor and master theses, works, which bring thoroughly self-fulfillment and make fun.

Topics of the seminar will be in particular

  • Scientific scholarship and academic research methods:
  • Introduction, organization, attributes of science:
    How is scientific knowledge created?
    Work scheduling, finding topics, time management, specialities of academic research in engineering
  • Finding specialized information: Full texts and library resources, databases http://www.tub.tuhh.de/en/subject-information/informing-points-to-survive/
  • Reference management: http://www.tub.tuhh.de/en/publishing/reference-management/
    Knowledge organisation and creating publications with Citavi
  • Citing correctly and avoiding plagiarism
  • Preparing and doing presentations
Literature
  1. Semesterapparat "Wissenschaftliches Arbeiten" in der TU-Bibliothek: http://tinyurl.com/Semesterapparat-Wiss-Arbeiten
  2. Weblog Wissenschaftliches Arbeiten der TU-Bibliothek: https://www.tub.tuhh.de/wissenschaftliches-arbeiten/
  3. Online-Tutorial VISION der TU-Bibliothek zum wissenschaftlichen Arbeiten: https://www.vision.tuhh.de (funktioniert nur mit installiertem Flash)
  4. Andreas Hirsch-Weber, Stefan Scherer: Wissenschaftliches Arbeiten und Abschlussarbeit in Natur- und Ingenieurwissenschaften : Grundlagen, Praxisbeispiele, Übungen. Stuttgart: Ulmer, 2016.
  5. Werner Sesink: Einführung in das wissenschaftliche Arbeiten : inklusive E-Learning, Web-Recherche, digitale Präsentation u.a. 9., aktualisierte Aufl. München : Oldenbourg, 2012.
  6. Judith Theuerkauf: Schreiben im Ingenieurstudium : effektiv und effizient zur Bachelor-, Master- und Doktorarbeit. Paderborn : Schöningh, 2012.
  7. Wolfsberger, Judith: Frei geschrieben : Mut, Freiheit & Strategie für wissenschaftliche Abschlussarbeiten. Wien: Böhlau, 2010
  8. Biedermann, Wieland u.a.: Forschungsmethodik in den Ingenieurwissenschaften : Skript vom Lehrstuhl für Produktentwicklung, Prof. Dr.-Ing. Udo Lindemann, Technische Universität München (TUM), 2012. https://www.mw.tum.de/fileadmin/w00btx/lpl/Documents/Forschungsmethodik_Skript.pdf
  9. Wissenschaftliches Arbeiten - HOOU Angebot der HCU Hamburg: https://blogs.hoou.de/wissarbeiten/
  1. Course Reserves Collection "Scholarly Research Methods" in the TUHH library: http://tinyurl.com/Semesterapparat-Wiss-Arbeiten
  2. Scholarly research methods via TUHH library Website: https://www.tub.tuhh.de/en/scholarly-research-methods/
  3. VISION - Online-Tutorial on research methods by the TUHH library: http://www.vision.tuhh.de (Flash has to be installed)
  4. Scientific papers and presentations / Martha Davis. 3. ed. Amsterdam: Elsevier / Academic Press, 2013. http://www.sciencedirect.com/science/book/9780123847270 
  5. Writing for science and engineering : papers, presentations and reports / Heather Silyn-Roberts. 2nd ed. Amsterdam : Elsevier, 2013. http://www.sciencedirect.com/science/book/9780080982854
  6. How to research / Loraine Blaxter, Christina Hughes and Malcolm Tight. Maidenhead : Open Univ. Press, 2010.
  7. Managing information for research : practical help in researching, writing and designing dissertations / Elizabeth Orna and Graham Stevens. Maidenhead : Open University Press McGraw-Hill, 2009.
  8. Writing scientific research articles : strategy and steps / Margaret Cargill and Patrick O’Connor. Chichester : Wiley-Blackwell, 2009.

Module M0639: Gas and Steam Power Plants

Courses
Title Typ Hrs/wk CP
Gas and Steam Power Plants (L0206) Lecture 3 5
Gas and Steam Power Plants (L0210) Recitation Section (large) 1 1
Module Responsible Dr. Kristin Abel-Günther
Admission Requirements None
Recommended Previous Knowledge
  • "Technical Thermodynamics I and II"
  • "Heat Transfer"
  • "Fluid Mechanics"
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students can evaluate the development of the electricity demand and the energy conversion routes in the thermal power plant, describe the various types of power plant and the layout of the steam generator block. They are also able to determine the operation characteristics of the power plant. Additionally they can describe the exhaust gas cleaning apparatus and the combination possibilities of conventional fossil-fuelled power plants with solar thermal and geothermal power plants or plants equipped with Carbon Capture and Storage.

The students have basic knowledge about the principles, operation and design of turbomachinery

Skills

The students will be able, using theories and methods of the energy technology from fossil fuels and based on well-founded knowledge on the function and construction of gas and steam power plants, to identify basic associations in the production of heat and electricity, so as to develop conceptual solutions. Through analysis of the problem and exposure to the inherent interplay between heat and power generation the students are endowed with the capability and methodology to develop realistic optimal concepts for the generation of electricity and the production of heat. From the technical basics the students become the ability to follow better the deliberations on the electricity mix composition within the energy-political triangle (economy, secure supply and environmental protection).

Within the framework of the exercise the students learn the use of the specialised software suite EBSILON ProfessionalTM. With this tool small practical tasks are solved with the PC, to highlight aspects of the design and development of power plant cycles.

The students are able to do simplified calculations on turbomachinery either as part of a plant, as single component or at stage level.

Personal Competence
Social Competence An excursion within the framework of the lecture is planned for students that are interested. The students get in this manner direct contact with a modern power plant in this region. The students will obtain first-hand experience with a power plant in operation and gain insights into the conflicts between technical and political issues.
Autonomy

The students assisted by the tutors will be able to develop alone simple simulation models and run with these scenario analyses. In this manner the theoretical and practical knowledge from the lecture is consolidated and the potential effects from different process combinations and boundary conditions highlighted. The students are able independently to analyse the operational performance of steam power plants and calculate selected quantities and characteristic curves.



Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 5 % Presentation 15-minütiges, unbenotetes Testat über EBSILON Professional; nur bestanden/nicht bestanden (keine anteiligen Punkte)
No 5 % Excercises 10 Übungsaufgaben im Laufe der Vorlesungen à 5 Minuten; bis zu 5 % Bonus je nach Anteil richtiger Abgaben
No 5 % Group discussion gemeinsame Erarbeitung von Inhalten
No 5 % Written elaboration Zusammenfassung von Literatur
Examination Written exam
Examination duration and scale Written examination of 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Renewable Energy: Elective Compulsory
Energy and Environmental Engineering: Core Qualification: Elective Compulsory
Energy Systems: Technical Complementary Course Core Studies: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Systems: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory
Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Course L0206: Gas and Steam Power Plants
Typ Lecture
Hrs/wk 3
CP 5
Workload in Hours Independent Study Time 108, Study Time in Lecture 42
Lecturer Dr. Kristin Abel-Günther
Language DE
Cycle WiSe
Content

In the 1st part of the lecture an overview on thermal power plants is offered, including:

  • Electricity demand and Forecasting
  • Thermodynamic fundamentals
  • Energy Conversion in thermal power plants
  • Types of power plant
  • Layout of the power plant block
  • Individual elements of the power plant
  • Cooling systems
  • Flue gas cleaning
  • Operation characteristics of the power plant
  • Construction materials for power plants
  • Location of power plants
  • Solar thermal plants/geothermal plants/Carbon Capture and Storage plants.

These are complemented in the 2nd part of the module by the more specialised issues:

  • Energy balance of a turbomachine
  • Theory of turbine and compressor stage
  • Equal and positive pressure blading
  • Flow losses
  • Characteristic numbers
  • Axial and radial design
  • Design features
  • Hydraulic turbomachines
  • Pump and water turbine designs
  • Design examples of reciprocating engines and turbomachinery
  • Steam power plants
  • Gas turbine systems.


Literature
  • Kalide: Kraft- und Arbeitsmaschinen
  • Thomas, H.J.: Thermische Kraftanlagen. Springer-Verlag, 1985
  • Strauß, K.: Kraftwerkstechnik. Springer-Verlag, 2006
  • Kugeler und Phlippen: Energietechnik. Springer-Verlag, 1990
  • Bohn, T. (Hrsg.): Handbuchreihe Energie, Band 7: Gasturbinenkraftwerke, Kombikraftwerke, Heizkraftwerke und Industriekraftwerke, Technischer Verlag Resch / Verlag TÜV Rheinland
Course L0210: Gas and Steam Power Plants
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dr. Kristin Abel-Günther
Language DE
Cycle WiSe
Content

In the 1st part of the lecture a general introduction into fluid-flow machines and steam power plants is offered, including:

  • Energy balance of a fluid-flow machine
  • Theory of turbine and compressor stage
  • Equal and positive pressure blading
  • Flow losses
  • Characteristic numbers
  • Axial and radial design
  • Design features
  • Hydraulic fluid-flow machines
  • Pump and water turbine designs
  • Design examples of reciprocating engines and turbomachinery
  • Steam power plants
  • Gas turbine systems
  • Diesel engine systems
  • Waste heat utilisation

followed by the more specialised issues:

  • Electricity Demand and Forecasting
  • Thermodynamic fundamentals
  • Energy Conversion in Thermal Power Plants
  • Types of Power Plant
  • Layout of the power plant block
  • Individual elements of the power plant
  • Cooling systems
  • Flue gas cleaning
  • Operation characteristics of the power plant
  • Construction materials
  • Location of power plants

The environmental impact of acidification, fine particulate or CO2 emissions and the resulting climatic effects are a special focus of the lecture and the lecture hall exercise. The challenges in plant operation from interconnecting conventional power plants and renewable energy sources are discussed and the technical options for providing security of supply and network stability are presented, also under consideration of cost effectiveness. In this critical review, focus is especially placed on the compatibility of the different solutions with the environment and climate. With this, the awareness for the responsibility of an engineer's own actions are emphasized and the potential extent of the different solutions presented clearly.

Within the framework of the exercise the students learn the use of the specialised software suite EBSILON ProfessionalTM. With this tool small tasks are solved on the PC, to highlight aspects of the design and development of power plant cycles. The students present their results orally and can afterwards ask questions and get feedback. The course work has a positive effect on the students final grade.

Literature
  • Skripte
  • Kalide: Kraft- und Arbeitsmaschinen
  • Thomas, H.J.: Thermische Kraftanlagen. Springer-Verlag, 1985
  • Strauß, K.: Kraftwerkstechnik. Springer-Verlag, 2006
  • Kugeler und Phlippen: Energietechnik. Springer-Verlag, 1990
  • T. Bohn (Hrsg.): Handbuchreihe Energie, Band 7: Gasturbinenkraftwerke, Kombikraftwerke, Heizkraftwerke und Industriekraftwerke, Technischer Verlag Resch / Verlag TÜV Rheinland

Module M0546: Thermal Separation Processes

Courses
Title Typ Hrs/wk CP
Thermal Separation Processes (L0118) Lecture 2 2
Thermal Separation Processes (L0119) Recitation Section (small) 2 2
Thermal Separation Processes (L0141) Recitation Section (large) 1 1
Separation Processes (L1159) Practical Course 1 1
Module Responsible Prof. Irina Smirnova
Admission Requirements None
Recommended Previous Knowledge Recommended requirements: Thermodynamics III


Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • The students can distinguish and describe different types of separation processes such as distillation, extraction, and adsorption
  • The students develop an understanding for the course of concentration during a separation process, the estimation of the energy demand of a process, the possibilities of energy saving, and the selection of separation systems
  • They have good knowledge of designing methods for separation processes and devices



Skills
  • Using the gained knowledge the students can select a reasonable system boundary for a given separation process and can close the associated energy and material balances
  • The students can use different graphical methods for the designing of a separation process and define the amount of theoretical stages required
  • They can select and design a basic type of thermal separation process for a given case based on the advantages and disadvantages of the process
  • The students are capable to obtain independently the needed material properties from appropriate sources (diagrams and tables)
  • They can calculate continuous and discontinuous processes
  • The students are able to prove their theoretical knowledge in the experimental lab work.
  • The students are able to discuss the theoretical background and the content of the experimental work with the teachers in colloquium.

The students are capable of linking their gained knowledge with the content of other lectures and use it together for the solution of technical problems. Other lectures such as thermodynamics, fluid mechanics and chemical engineering.


Personal Competence
Social Competence
  • The students can work technical assignments in small groups and present the combined results in the tutorial

  • The students are able to carry out practical lab work in small groups and organize a functional division of labor between them. They are able to discuss their results and to document them scientifically in a report.
Autonomy
  • The students are capable to obtain the needed information from suitable sources by themselves and assess their quality
  • The students can proof the state of their knowledge with exam resembling assignments and in this way control their learning process


Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 minutes; theoretical questions and calculations
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Renewable Energy: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Renewable Energy: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Bioprocess Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Process Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Chemical and Bioengineering: Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Energy and Environmental Engineering: Core Qualification: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Systems: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Bioresource Technology: Elective Compulsory
Process Engineering: Core Qualification: Compulsory
Course L0118: Thermal Separation Processes
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Irina Smirnova
Language DE
Cycle WiSe
Content
  • Introduction in the thermal process engineering and to the main features of separation processes
  • Simple equilibrium processes, several steps processes
  • Distillation of binary mixtures, enthalpy-concentration diagrams
  • Extractive and azeotrope distillation, water vapor distillation, stepwise distillation
  • Extraction: separation ternary systems, ternary diagram
  • Multiphase separation including complex mixtures
  • Designing of separation devices without discrete stages
  • Drying
  • Chromatographic separation processes
  • Membrane separation
  • Energy demand of separation processes
  • Advance overview of separation processes
  • Selection of separation processes


Literature
  • G. Brunner: Skriptum Thermische Verfahrenstechnik
  • J. King: Separation Processes, McGraw-Hill, 2. Aufl. 1980
  • Sattler: Thermische Trennverfahren, VCH, Weinheim 1995
  • J.D. Seader, E.J. Henley: Separation Process Principles, Wiley, New York, 1998.
  • Mersmann: Thermische Verfahrenstechnik, Springer, 1980
  • Grassmann, Widmer, Sinn: Einführung in die Thermische Verfahrenstechnik, 3. Aufl., Walter de Gruyter, Berlin 1997
  • Brunner, G.: Gas extraction. An introduction to fundamentals of supercritical fluids and the application to separation processes. Steinkopff, Darmstadt; Springer, New York; 1994. ISBN 3-7985-0944-1 ; ISBN 0-387-91477-3 .
  • R. Goedecke (Hrsg.): Fluid-Verfahrenstechnik, Wiley-VCH Verlag, Weinheim, 2006.
    • Perry"s Chemical Engineers" Handbook, R.H. Perry, D.W. Green, J.O. Maloney (Hrsg.), 6th ed., McGraw-Hill, New York 1984 Ullmann"s Enzyklopädie der Technischen Chemie


Course L0119: Thermal Separation Processes
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Irina Smirnova
Language DE
Cycle WiSe
Content
  • Introduction in the thermal process engineering and to the main features of separation processes
  • Simple equilibrium processes, several steps processes
  • Distillation of binary mixtures, enthalpy-concentration diagrams
  • Extractive and azeotrope distillation, water vapor distillation, stepwise distillation
  • Extraction: separation ternary systems, ternary diagram
  • Multiphase separation including complex mixtures
  • Designing of separation devices without discrete stages
  • Drying
  • Chromatographic separation processes
  • Membrane separation
  • Energy demand of separation processes
  • Advance overview of separation processes
  • Selection of separation processes

The students work on tasks in small groups and present their results in front of all students.

Literature
  • G. Brunner: Skriptum Thermische Verfahrenstechnik
  • J. King: Separation Processes, McGraw-Hill, 2. Aufl. 1980
  • Sattler: Thermische Trennverfahren, VCH, Weinheim 1995
  • J.D. Seader, E.J. Henley: Separation Process Principles, Wiley, New York, 1998.
  • Mersmann: Thermische Verfahrenstechnik, Springer, 1980
  • Grassmann, Widmer, Sinn: Einführung in die Thermische Verfahrenstechnik, 3. Aufl., Walter de Gruyter, Berlin 1997
  • Brunner, G.: Gas extraction. An introduction to fundamentals of supercritical fluids and the application to separation processes. Steinkopff, Darmstadt; Springer, New York; 1994. ISBN 3-7985-0944-1 ; ISBN 0-387-91477-3 .
  • R. Goedecke (Hrsg.): Fluid-Verfahrenstechnik, Wiley-VCH Verlag, Weinheim, 2006.
  • Perry"s Chemical Engineers" Handbook, R.H. Perry, D.W. Green, J.O. Maloney (Hrsg.), 6th ed., McGraw-Hill, New York 1984 Ullmann"s Enzyklopädie der Technischen Chemie


Course L0141: Thermal Separation Processes
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Irina Smirnova
Language DE
Cycle WiSe
Content
  • Introduction in the thermal process engineering and to the main features of separation processes
  • Simple equilibrium processes, several steps processes
  • Distillation of binary mixtures, enthalpy-concentration diagrams
  • Extractive and azeotrope distillation, water vapor distillation, stepwise distillation
  • Extraction: separation ternary systems, ternary diagram
  • Multiphase separation including complex mixtures
  • Designing of separation devices without discrete stages
  • Drying
  • Chromatographic separation processes
  • Membrane separation
  • Energy demand of separation processes
  • Advance overview of separation processes
  • Selection of separation processes


Literature
  • G. Brunner: Skriptum Thermische Verfahrenstechnik
  • J. King: Separation Processes, McGraw-Hill, 2. Aufl. 1980
  • Sattler: Thermische Trennverfahren, VCH, Weinheim 1995
  • J.D. Seader, E.J. Henley: Separation Process Principles, Wiley, New York, 1998.
  • Mersmann: Thermische Verfahrenstechnik, Springer, 1980
  • Grassmann, Widmer, Sinn: Einführung in die Thermische Verfahrenstechnik, 3. Aufl., Walter de Gruyter, Berlin 1997
  • Brunner, G.: Gas extraction. An introduction to fundamentals of supercritical fluids and the application to separation processes. Steinkopff, Darmstadt; Springer, New York; 1994. ISBN 3-7985-0944-1 ; ISBN 0-387-91477-3 .
  • R. Goedecke (Hrsg.): Fluid-Verfahrenstechnik, Wiley-VCH Verlag, Weinheim, 2006.
  • Perry"s Chemical Engineers" Handbook, R.H. Perry, D.W. Green, J.O. Maloney (Hrsg.), 6th ed., McGraw-Hill, New York 1984 Ullmann"s Enzyklopädie der Technischen Chemie


Course L1159: Separation Processes
Typ Practical Course
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Irina Smirnova
Language DE/EN
Cycle WiSe
Content

The students work on eight different experiments in this practical course. For every one of the eight experiments, a colloquium takes place in which the students explain and discuss the theoretical background and its translation into practice with staff and fellow students.

The students work small groups with a high degree of division of labor. For every experiment, the students write a report. They receive instructions in terms of scientific writing as well as feedback on their own reports and level of scientific writing so they can increase their capabilities in this area.

Topics of the practical course:

  • Introduction in the thermal process engineering and to the main features of separation processes
  • Simple equilibrium processes, several steps processes
  • Distillation of binary mixtures, enthalpy-concentration diagrams
  • Extractive and azeotrope distillation, water vapor distillation, stepwise distillation
  • Extraction: separation ternary systems, ternary diagram
  • Multiphase separation including complex mixtures
  • Designing of separation devices without discrete stages
  • Drying
  • Chromatographic separation processes
  • Membrane separation
  • Energy demand of separation processes
  • Advance overview of separation processes
  • Selection of separation processes


Literature
  • G. Brunner: Skriptum Thermische Verfahrenstechnik
  • J. King: Separation Processes, McGraw-Hill, 2. Aufl. 1980
  • Sattler: Thermische Trennverfahren, VCH, Weinheim 1995
  • J.D. Seader, E.J. Henley: Separation Process Principles, Wiley, New York, 1998.
  • Mersmann: Thermische Verfahrenstechnik, Springer, 1980
  • Grassmann, Widmer, Sinn: Einführung in die Thermische Verfahrenstechnik, 3. Aufl., Walter de Gruyter, Berlin 1997
  • Brunner, G.: Gas extraction. An introduction to fundamentals of supercritical fluids and the application to separation processes. Steinkopff, Darmstadt; Springer, New York; 1994. ISBN 3-7985-0944-1 ; ISBN 0-387-91477-3 .
  • R. Goedecke (Hrsg.): Fluid-Verfahrenstechnik, Wiley-VCH Verlag, Weinheim, 2006.
  • Perry"s Chemical Engineers" Handbook, R.H. Perry, D.W. Green, J.O. Maloney (Hrsg.), 6th ed., McGraw-Hill, New York 1984 Ullmann"s Enzyklopädie der Technischen Chemie


Module M1726: System Integration Renewable Energies

Courses
Title Typ Hrs/wk CP
System Integration Renewable Energies I (L2767) Lecture 2 2
System Integration Renewable Energies I (L2768) Recitation Section (small) 1 1
System Integration Renewable Energies II (L2769) Lecture 2 2
System Integration Renewable Energies II (L2770) Recitation Section (small) 1 1
Module Responsible Prof. Martin Kaltschmitt
Admission Requirements None
Recommended Previous Knowledge

Fundamentals of renewable energies and the energy system

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

With the completion of the module the students are able to use and apply the previously learned technical basics of the different fields of renewable energies. Current problems concerning the integration of renewable energies in the energy system are presented and analyzed. In particular, the sectors electricity, heat and mobility will be addressed, giving students insights into sector coupling activities.

Skills

By completing this module, students can apply the basics learned to various sector coupling problems and, in this context, assess the potentials as well as the limits of sector coupling in the German energy system. In particular, the students should use the application and linking of already learned methods and knowledge here, so that a vision of the different technologies is achieved.

Personal Competence
Social Competence

The students will be able to discuss problems in the areas of sector coupling and the integration of renewable energies.

Autonomy

The students are able to acquire own sources based on the main topics of the lecture and to increase their knowledge. Furthermore, the students can search further technologies and interconnection possibilities for the energy system itself.

Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Renewable Energy: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Systems: Elective Compulsory
Course L2767: System Integration Renewable Energies I
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Dr. Volker Lenz
Language DE
Cycle WiSe
Content
  1. Introduction
  2. Fossil-dominated energy system
  3. Mega trends in energy transition
  4. Characteristics of renewable energy provision technologies - electricity
  5. Integration of renewables - electricity I
  6. Integration of renewables - electricity II
  7. Characteristics of renewable energy provision technologies - heat
  8. Integration of renewables - heat I
  9. Integration of renewables - heat II
  10. Characteristics of renewable energy provision technologies - mobility
  11. Integration of renewables - mobility
  12. Communications technology and control engineering
  13. Reduction in consumption
  14. Load management
  15. Interaction of renewable generation and controlled reduction in demand


Literature
  • D. Thrän (editor): Smart Bioenergy. Technologies and concepts for a more flexible bioenergy provision in future energy systems. Springer,Cham, Heielberg, New York, Dordrecht, London, 2015
  • R. von Miller (Hrsg.): Lexikon der Energietechnik und Kraftmaschinen Band 6 und 7. Deutsche Verlags-Anstalt Stuttgart 1965
  • K. Naumann et. al.: Monitoring Biokraftstoffsektor. 3. Auflage, DBFZ Report Nr. 1, Leipzig, 2016
  • M. Kaltschmitt, W. Streicher, A. Wiese (Hrsg.): Erneuerbare Energien. Systemtechnik, Wirtschaftlichkeit, Umweltaspekte. 4. Auflage, Springer


Course L2768: System Integration Renewable Energies I
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dr. Volker Lenz
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L2769: System Integration Renewable Energies II
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Dr. Volker Lenz
Language DE
Cycle SoSe
Content
  1. Introduction
  2. Power-to-Hydrogen
  3. Power-to-Gas
  4. Power-to-Liquid
  5. Power-to-Heat
  6. Hybrid Technologies
  7. Combined Technology Concepts I
  8. Combined Technology Concepts II
  9. Link-up with renewable industrial production
  10. Utilization of residual materials from renewable energy provision
  11. Biomass as system stabilizer I
  12. Biomass as system stabilizer II
  13. System modelling - fundamentals
  14. System modelling - approaches and results
  15. Planning tools


Literature
  • D. Thrän (editor): Smart Bioenergy. Technologies and concepts for a more flexible bioenergy provision in future energy systems. Springer,Cham, Heielberg, New York, Dordrecht, London, 2015
  • R. von Miller (Hrsg.): Lexikon der Energietechnik und Kraftmaschinen Band 6 und 7. Deutsche Verlags-Anstalt Stuttgart 1965
  • K. Naumann et. al.: Monitoring Biokraftstoffsektor. 3. Auflage, DBFZ Report Nr. 1, Leipzig, 2016
  • M. Kaltschmitt, W. Streicher, A. Wiese (Hrsg.): Erneuerbare Energien. Systemtechnik, Wirtschaftlichkeit, Umweltaspekte. 4. Auflage, Springer Berlin Heidelberg, 2006
  • Bundesministerium für Wirtschaft und Energie: Die Energie der Zukunft.


Course L2770: System Integration Renewable Energies II
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dr. Volker Lenz
Language DE
Cycle SoSe
Content
  1. Introduction
  2. Power-to-Hydrogen
  3. Power-to-Gas
  4. Power-to-Liquid
  5. Power-to-Heat
  6. Hybrid Technologies
  7. Combined Technology Concepts I
  8. Combined Technology Concepts II
  9. Link-up with renewable industrial production
  10. Utilization of residual materials from renewable energy provision
  11. Biomass as system stabilizer I
  12. Biomass as system stabilizer II
  13. System modelling - fundamentals
  14. System modelling - approaches and results
  15. Planning tools

Literature
  • D. Thrän (editor): Smart Bioenergy. Technologies and concepts for a more flexible bioenergy provision in future energy systems. Springer,Cham, Heielberg, New York, Dordrecht, London, 2015
  • R. von Miller (Hrsg.): Lexikon der Energietechnik und Kraftmaschinen Band 6 und 7. Deutsche Verlags-Anstalt Stuttgart 1965
  • K. Naumann et. al.: Monitoring Biokraftstoffsektor. 3. Auflage, DBFZ Report Nr. 1, Leipzig, 2016
  • M. Kaltschmitt, W. Streicher, A. Wiese (Hrsg.): Erneuerbare Energien. Systemtechnik, Wirtschaftlichkeit, Umweltaspekte. 4. Auflage, Springer Berlin Heidelberg, 2006
  • Bundesministerium für Wirtschaft und Energie: Die Energie der Zukunft.

Module M1235: Electrical Power Systems I: Introduction to Electrical Power Systems

Courses
Title Typ Hrs/wk CP
Electrical Power Systems I: Introduction to Electrical Power Systems (L1670) Lecture 3 4
Electrical Power Systems I: Introduction to Electrical Power Systems (L1671) Recitation Section (small) 2 2
Module Responsible Prof. Christian Becker
Admission Requirements None
Recommended Previous Knowledge

Fundamentals of Electrical Engineering

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to give an overview of conventional and modern electric power systems.  They can explain in detail and critically evaluate technologies of electric power generation, transmission, storage, and distribution as well as integration of equipment into electric power systems.

Skills

With completion of this module the students are able to apply the acquired skills in applications of the design, integration, development of electric power systems and to assess the results.

Personal Competence
Social Competence

The students can participate in specialized and interdisciplinary discussions, advance ideas and represent their own work results in front of others.

Autonomy

Students can independently tap knowledge of the emphasis of the lectures. 

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 - 150 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Renewable Energy: Elective Compulsory
Data Science: Core Qualification: Elective Compulsory
Electrical Engineering: Core Qualification: Elective Compulsory
Energy Systems: Specialisation Energy Systems: Elective Compulsory
Engineering Science: Specialisation Electrical Engineering: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Systems: Elective Compulsory
Computer Science in Engineering: Specialisation II. Mathematics & Engineering Science: Elective Compulsory
Integrated Building Technology: Core Qualification: Compulsory
Renewable Energies: Core Qualification: Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Course L1670: Electrical Power Systems I: Introduction to Electrical Power Systems
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Christian Becker
Language DE
Cycle WiSe
Content
  • fundamentals and current development trends in electric power engineering 
  • tasks and history of electric power systems
  • symmetric three-phase systems
  • fundamentals and modelling of eletric power systems 
    • lines
    • transformers
    • synchronous machines
    • induction machines
    • loads and compensation
    • grid structures and substations 
  • fundamentals of energy conversion
    • electro-mechanical energy conversion
    • thermodynamics
    • power station technology
    • renewable energy conversion systems
  • steady-state network calculation
    • network modelling
    • load flow calculation
    • (n-1)-criterion
  • symmetric failure calculations, short-circuit power
  • control in networks and power stations
  • grid protection
  • grid planning
  • power economy fundamentals
Literature

K. Heuck, K.-D. Dettmann, D. Schulz: "Elektrische Energieversorgung", Vieweg + Teubner, 9. Auflage, 2013

A. J. Schwab: "Elektroenergiesysteme", Springer, 5. Auflage, 2017

R. Flosdorff: "Elektrische Energieverteilung" Vieweg + Teubner, 9. Auflage, 2008

Course L1671: Electrical Power Systems I: Introduction to Electrical Power Systems
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Christian Becker
Language DE
Cycle WiSe
Content
  • fundamentals and current development trends in electric power engineering 
  • tasks and history of electric power systems
  • symmetric three-phase systems
  • fundamentals and modelling of eletric power systems 
    • lines
    • transformers
    • synchronous machines
    • induction machines
    • loads and compensation
    • grid structures and substations 
  • fundamentals of energy conversion
    • electro-mechanical energy conversion
    • thermodynamics
    • power station technology
    • renewable energy conversion systems
  • steady-state network calculation
    • network modelling
    • load flow calculation
    • (n-1)-criterion
  • symmetric failure calculations, short-circuit power
  • control in networks and power stations
  • grid protection
  • grid planning
  • power economy fundamentals
Literature

K. Heuck, K.-D. Dettmann, D. Schulz: "Elektrische Energieversorgung", Vieweg + Teubner, 9. Auflage, 2013

A. J. Schwab: "Elektroenergiesysteme", Springer, 5. Auflage, 2017

R. Flosdorff: "Elektrische Energieverteilung" Vieweg + Teubner, 9. Auflage, 2008

Module M1693: Computer Science for Engineers - Programming Concepts, Data Handling & Communication

Courses
Title Typ Hrs/wk CP
Computer Science for Engineers - Programming Concepts, Data Handling & Communication (L2689) Lecture 3 3
Computer Science for Engineers - Programming Concepts, Data Handling & Communication (L2690) Recitation Section (small) 2 3
Module Responsible Prof. Sibylle Fröschle
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
Skills


Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 10 % Attestation Testate finden semesterbegleitend statt.
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Renewable Energy: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Elective Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Systems: Elective Compulsory
Logistics and Mobility: Specialisation Information Technology: Compulsory
Mechatronics: Core Qualification: Compulsory
Process Engineering: Core Qualification: Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Compulsory
Course L2689: Computer Science for Engineers - Programming Concepts, Data Handling & Communication
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Sibylle Fröschle
Language DE
Cycle SoSe
Content
Literature

John V. Guttag: Introduction to Computation and Programming Using Python.
With Application to Understanding Data. 2nd Edition. The MIT Press, 2016.

Course L2690: Computer Science for Engineers - Programming Concepts, Data Handling & Communication
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sibylle Fröschle
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1719: Climate change impact & mitigation

Courses
Title Typ Hrs/wk CP
Metereology of climate change (L2749) Lecture 2 2
Technical measures to mitigate climate change (L2747) Lecture 2 2
Technical measures to mitigate climate change (L2748) Recitation Section (small) 2 2
Module Responsible Prof. Martin Kaltschmitt
Admission Requirements None
Recommended Previous Knowledge none
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Upon completion of the module, students will be able to use and apply the previously learned technical basics of the various fields of metereological climate change and technical climate protection in an interdisciplinary manner. Current problems are presented and analyzed in relation to solutions for the mitigation of climate change and the impact of human behavior on the climate is described and discussed.

Skills

Upon completion of this module, students will be able to apply the fundamentals they have learned to various cross-sectoral problems and, in this context, assess and evaluate the potentials but also the limitations of technical solutions for reducing greenhouse gas emissions and their impact on climate change. In particular, the application and linking of already learned methods and knowledge should be applied by the students here, so that a broad view of the different technologies is gained.

Personal Competence
Social Competence

Students will be able to discuss problems in the topic areas of reducing impacts and changing the climate with each other.

Autonomy

Students will be able to independently access sources and acquire knowledge based on the lecture focus on the subject area. Furthermore, students will be able to research further climate change mitigation technologies and climate conditions on their own.

Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Renewable Energy: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Systems: Elective Compulsory
Course L2749: Metereology of climate change
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Dr. Jana Sillmann
Language DE
Cycle SoSe
Content

Course Content:

This course provides a comprehensive introduction to the fundamentals of human-induced climate change. Important concepts such as the Earth's radiation budget, the greenhouse effect, and the various Earth system components (e.g., atmosphere, hydrosphere, cryosphere, biosphere) related to climate change are explained. Fundamentals of climate modeling and climate scenarios are explained. Findings from the Intergovernmental Panel on Climate Change's Assessment Reports are provided in relation to observed and model-based physical climate changes and their impacts on various Earth system components. Furthermore, the impacts of global and regional climate change on society (e.g. agriculture, infrastructure, energy) will be highlighted and especially the changes and impacts of weather and climate extremes will be discussed. In the last part of the lecture, current global and national climate change targets will be explained and discussed in the context of possible scenarios, options and challenges to reduce global warming. Concepts such as "net-zero" emissions and negative emissions will be addressed with important implications for the development of new technologies.

Learning Objective:

Basic knowledge of human-induced climate change, and how to model climate change, and its impacts on different sectors of the environment and society, and the options and consequences for different sectors to achieve the targeted climate goals (reduction of global warming).

Structure:

    Introduction Climate Change/Climate Change Reports.

    The climate system

    Observed climate change

    Climate variability

    Climate models

    Climate scenarios

    Physical climate changes under different scenarios

    Impacts of climate change on different regions and sectors

    Weather and climate extremes

    Climate risk and adaptation

    Scenarios, options and challenges to reduce global warming

    Climate Engineering

    Sustainability and climate change

    Climate quiz and discussion

Course Content:

This course provides a comprehensive introduction to the fundamentals of human-induced climate change. Important concepts such as the Earth's radiation budget, the greenhouse effect, and the various Earth system components (e.g., atmosphere, hydrosphere, cryosphere, biosphere) related to climate change are explained. Fundamentals of climate modeling and climate scenarios are explained. Findings from the Intergovernmental Panel on Climate Change's Assessment Reports are provided in relation to observed and model-based physical climate changes and their impacts on various Earth system components. Furthermore, the impacts of global and regional climate change on society (e.g. agriculture, infrastructure, energy) will be highlighted and especially the changes and impacts of weather and climate extremes will be discussed. In the last part of the lecture, current global and national climate change targets will be explained and discussed in the context of possible scenarios, options and challenges to reduce global warming. Concepts such as "net-zero" emissions and negative emissions will be addressed with important implications for the development of new technologies.

Learning Objective:

Basic knowledge of human-induced climate change, and how to model climate change, and its impacts on different sectors of the environment and society, and the options and consequences for different sectors to achieve the targeted climate goals (reduction of global warming).

Structure:

    Introduction Climate Change/Climate Change Reports.

    The climate system

    Observed climate change

    Climate variability

    Climate models

    Climate scenarios

    Physical climate changes under different scenarios

    Impacts of climate change on different regions and sectors

    Weather and climate extremes

    Climate risk and adaptation

    Scenarios, options and challenges to reduce global warming

    Climate Engineering

    Sustainability and climate change

    Climate quiz and discussion

Literature Vorlesungsunterlagen
Course L2747: Technical measures to mitigate climate change
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Martin Kaltschmitt, Dr. Ben Norden, Dr. Cornelia Schmidt-Hattenberger
Language DE
Cycle SoSe
Content

Lecturers: MK, Dr. Ben Norden (GFZ), Dr. Conny Schmidt-Hattenberger (GFZ)

Lecture Content:

The goal of this lecture is to address and present technical measures to mitigate climate change. This primarily includes the immediate means by which climate gas emissions can be reduced when they have already occurred. Specifically, the lecture includes the following content:

- Overview of the main greenhouse gases emitted, including their global warming potential and the average lifetime of the molecules in the atmosphere.

- Avoidance Methane (CH4) (point sources).

o Emission sources: Methane slip, methane emission from combustion, etc. 

o Reduction methane slip (including gas extraction, biogas plants, waste management).

o Reduction of methane from combustion (e.g. power plants, ship engines, car engines, CHP engines, etc.)

o Reduction of other sources if necessary

- Avoidance Nitrous oxide (N2O) (point sources).

o Emission sources: Combustion processes, production processes, biological nitrogen oxidation, etc.

o Reduction of combustion processes

o Reduction of production processes

o Reduction of biological nitrogen oxidation

o Reduction of further sources, if necessary

- Avoidance of other greenhouse gases (including F-gases) (point sources)

- Avoidance of carbon dioxide from fossil carbon (point sources)

o Emission sources: Combustion processes, production processes

o Capture technologies from exhaust gases

- Capture carbon dioxide from diffuse sources (ambient air)

- Temporary storage and transport of carbon dioxide

- Final storage of carbon dioxide

o Geological framework and storage options, infrastructure (assessment)

o Surface installations / modes of operation / conditioning of CO2 (phase behavior) etc.

o Thermodynamic framework and interactions

o Tightness of the storage complex (geomechanics) and long-term behavior (modeling), saltwater displacement and upwelling?

o Monitoring concepts (monitoring methods from geophysics, geochemistry, microbiology, applied on different spatial and temporal scales) and assessment of storage safety

o Modeling (static, dynamic, chemical, scale-dependent - borehole, reservoir, energy system modeling).

o Retrievability (interim storage) and after-use concepts (synthetic fuels)?, backfilling (cements, etc.).

o Examples

Literature Vorlesungsunterlagen
Course L2748: Technical measures to mitigate climate change
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Martin Kaltschmitt, Dr. Ben Norden, Dr. Cornelia Schmidt-Hattenberger
Language DE
Cycle SoSe
Content

- Overview of the main greenhouse gases emitted, including their global warming potential and the average lifetime of the molecules in the atmosphere.

- Avoidance Methane (CH4) (point sources).

o Emission sources: Methane slip, methane emission from combustion, etc. 

o Reduction methane slip (including gas extraction, biogas plants, waste management).

o Reduction of methane from combustion (e.g. power plants, ship engines, car engines, CHP engines, etc.)

o Reduction of other sources if necessary

- Avoidance Nitrous oxide (N2O) (point sources).

o Emission sources: Combustion processes, production processes, biological nitrogen oxidation, etc.

o Reduction of combustion processes

o Reduction of production processes

o Reduction of biological nitrogen oxidation

o Reduction of further sources, if necessary

- Avoidance of other greenhouse gases (including F-gases) (point sources)

- Avoidance of carbon dioxide from fossil carbon (point sources)

o Emission sources: Combustion processes, production processes

o Capture technologies from exhaust gases

- Capture carbon dioxide from diffuse sources (ambient air)

- Temporary storage and transport of carbon dioxide

- Final storage of carbon dioxide

o Geological framework and storage options, infrastructure (assessment)

o Surface installations / modes of operation / conditioning of CO2 (phase behavior) etc.

o Thermodynamic framework and interactions

o Tightness of the storage complex (geomechanics) and long-term behavior (modeling), saltwater displacement and upwelling?

o Monitoring concepts (monitoring methods from geophysics, geochemistry, microbiology, applied on different spatial and temporal scales) and assessment of storage safety

o Modeling (static, dynamic, chemical, scale-dependent - borehole, reservoir, energy system modeling).

o Retrievability (interim storage) and after-use concepts (synthetic fuels)?, backfilling (cements, etc.).

o Examples

Literature Vorlesungsunterlagen

Module M0544: Phase Equilibria Thermodynamics

Courses
Title Typ Hrs/wk CP
Phase Equilibria Thermodynamics (L0114) Lecture 2 2
Phase Equilibria Thermodynamics (L0140) Recitation Section (small) 1 2
Phase Equilibria Thermodynamics (L0142) Recitation Section (large) 1 2
Module Responsible Prof. Irina Smirnova
Admission Requirements None
Recommended Previous Knowledge

Mathematics, Physical Chemistry, Thermodynamics I and II


Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Starting from the very basics of thermodynamics, the students learn the mathematical tools to describe thermodynamic equilibria.
  • They learn how state variables are influenced by the mixing of compounds and learn concepts to quantitatively describe these properties.
  • Moreover, the students learn how phase equilibria can be described mathematically and which phenomena may occur if different phases (vapor, liquid, solid) coexist in equilibrium. Furthermore the fundamentals of reaction equilibria are taught.
  • For different phase equilibria, several examples relevant for different kinds of processes are shown and the necessary knowledge for plotting and interpreting the equilibria are taught.




Skills
  • Applying their knowledge, the students are able to identify the correct equation for the determination of the equilibrium state and know how to simplify these equations meaningfully.
  • The students know models which can be used to determine the properties of the system in the equilibrium state and they are able to solve the resulting mathematical relations.
  • For specific applications, they are able to self-reliantly find necessary physico-chemical properties of compounds as well as model parameters in literature sources.
  • Beside pure compound properties the students are capable of describing the properties of mixtures.
  • The students know how to visualize phase equilibria graphically and they know how to interpret the occurring phenomena.
  • Based on their knowledge, the students are able to understand fundamental concepts that are the basis for many separation and reaction processes in chemical engineering.


Personal Competence
Social Competence The students are able to work in small groups, to solve the corresponding problems and to present them oraly to the tutors and other students
Autonomy
  • The students are able to find necessary information self-reliantly in literature sources and to judge their quality.
  • During the semester the students are able to check their learning progress continuously in exercises. Based on this knowledge the students can adept their learning process.


Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 minutes; theoretical questions and calculations
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Renewable Energy: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Chemical and Bioengineering: Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Bioresource Technology: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Systems: Elective Compulsory
Process Engineering: Core Qualification: Compulsory
Course L0114: Phase Equilibria Thermodynamics
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Irina Smirnova
Language DE
Cycle SoSe
Content


  1. Introduction: Applications of thermodynamics of mixtures
  2. Thermodynamic equations in multi-component systems: Fundamental equations, chemical potential, fugacity
  3. Phase equilibria of pure substances: thermodynamic equilibrium, vapor pressure, Gibbs’ phase rule
  4. Equations of state: virial equations, van-der-Waals equation, generalized equations of state
  5. Mixing properties: ideal and real mixtures, excess properties, partial molar properties
  6. Vapor-liquid-equilibria: binary systems, azeotropes, equilibrium condition
  7. Gas-liquid-equilibria: equilibrium condition, Henry-coefficient
  8. GE-Models: Hildebrand-model, Flory-Huggins-model, Wilson-model, UNIQUAC, UNIFAC
  9. Liquid-liquid-equilibria: equilibrium condition, phase equilibria in binary and ternary systems
  10. Solid-liquid-equilibria: equilibrium condition, binary systems
  11. Chemical reactions: reaction coordinate, mass action law, influence of pressure and temperature
  12. Osmotic pressure
Literature
  • Jürgen Gmehling, Bärbel Kolbe: Thermodynamik. VCH 1992
  • J.M. Prausnitz, R.N. Lichtenthaler, E.G. de Azevedo: Molecular Thermodynamics of Fluid-Phase Equilibria, 3rd ed. Prentice Hall, 1999.
  • J.W. Tester, M. Modell: Thermodynamics and its Applications. 3rd ed. Prentice Hall, 1997.J.P. O´Connell, J.M. Haile: Thermodynamics. Cambridge University Press, 2005.




Course L0140: Phase Equilibria Thermodynamics
Typ Recitation Section (small)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Irina Smirnova
Language DE
Cycle SoSe
Content
  1. Introduction: Applications of thermodynamics of mixtures
  2. Thermodynamic equations in multi-component systems: Fundamental equations, chemical potential, fugacity
  3. Phase equilibria of pure substances: thermodynamic equilibrium, vapor pressure, Gibbs’ phase rule
  4. Equations of state: virial equations, van-der-Waals equation, generalized equations of state
  5. Mixing properties: ideal and real mixtures, excess properties, partial molar properties
  6. Vapor-liquid-equilibria: binary systems, azeotropes, equilibrium condition
  7. Gas-liquid-equilibria: equilibrium condition, Henry-coefficient
  8. GE-Models: Hildebrand-model, Flory-Huggins-model, Wilson-model, UNIQUAC, UNIFAC
  9. Liquid-liquid-equilibria: equilibrium condition, phase equilibria in binary and ternary systems
  10. Solid-liquid-equilibria: equilibrium condition, binary systems
  11. Chemical reactions: reaction coordinate, mass action law, influence of pressure and temperature
  12. Osmotic pressure

The students work on tasks in small groups and present their results in front of all students.

Literature
  • Jürgen Gmehling, Bärbel Kolbe: Thermodynamik. VCH 1992
  • J.M. Prausnitz, R.N. Lichtenthaler, E.G. de Azevedo: Molecular Thermodynamics of Fluid-Phase Equilibria, 3rd ed. Prentice Hall, 1999.
  • J.W. Tester, M. Modell: Thermodynamics and its Applications. 3rd ed. Prentice Hall, 1997.J.P. O´Connell, J.M. Haile: Thermodynamics. Cambridge University Press, 2005.



Course L0142: Phase Equilibria Thermodynamics
Typ Recitation Section (large)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Irina Smirnova
Language DE
Cycle SoSe
Content
  1. Introduction: Applications of thermodynamics of mixtures
  2. Thermodynamic equations in multi-component systems: Fundamental equations, chemical potential, fugacity
  3. Phase equilibria of pure substances: thermodynamic equilibrium, vapor pressure, Gibbs’ phase rule
  4. Equations of state: virial equations, van-der-Waals equation, generalized equations of state
  5. Mixing properties: ideal and real mixtures, excess properties, partial molar properties
  6. Vapor-liquid-equilibria: binary systems, azeotropes, equilibrium condition
  7. Gas-liquid-equilibria: equilibrium condition, Henry-coefficient
  8. GE-Models: Hildebrand-model, Flory-Huggins-model, Wilson-model, UNIQUAC, UNIFAC
  9. Liquid-liquid-equilibria: equilibrium condition, phase equilibria in binary and ternary systems
  10. Solid-liquid-equilibria: equilibrium condition, binary systems
  11. Chemical reactions: reaction coordinate, mass action law, influence of pressure and temperature
  12. Osmotic pressure


Literature
  • Jürgen Gmehling, Bärbel Kolbe: Thermodynamik. VCH 1992
  • J.M. Prausnitz, R.N. Lichtenthaler, E.G. de Azevedo: Molecular Thermodynamics of Fluid-Phase Equilibria, 3rd ed. Prentice Hall, 1999.
  • J.W. Tester, M. Modell: Thermodynamics and its Applications. 3rd ed. Prentice Hall, 1997.J.P. O´Connell, J.M. Haile: Thermodynamics. Cambridge University Press, 2005.


Focus Water and Environmental Engineering

Module M1627: Water and Environment

Courses
Title Typ Hrs/wk CP
Project on Water, Environment, Traffic (L2462) Project-/problem-based Learning 2 3
Water in the Environment (L2461) Lecture 2 3
Module Responsible Prof. Mathias Ernst
Admission Requirements None
Recommended Previous Knowledge Basic knowledge of chemistry
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge Students can define generic material interactions between the environmental media. The can demonstrate their knowledge about natural as well as anthropogenic materials. They are capable of explaining the natural condition of waters and other environmental media.
Skills

Students are able to research environment-specific aspects of civil engineering independent. They can present their findings using accredited academic media (e.g. posters) and can give a short summary including scientific references.

Personal Competence
Social Competence

Students can fulfil a complex environment-related assignment in the field of civil engineering by working in a team.

Autonomy
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes None Presentation Team-Projektarbeit mit Präsentation
Examination Written exam
Examination duration and scale 60 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Water and Environmental Engineering: Elective Compulsory
Civil- and Environmental Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Water: Elective Compulsory
Course L2462: Project on Water, Environment, Traffic
Typ Project-/problem-based Learning
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dozenten des SD B
Language DE
Cycle SoSe
Content

Lecturers of Civicl Engineering provide duties on environmentally relevant fields of civil engineering for smal student groups (max. 4 students).

Literature

aufgabenspeziifisch / according to corresponding tasks

Course L2461: Water in the Environment
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Mathias Ernst, Dozenten des SD B
Language DE
Cycle SoSe
Content
  • Basics of global/regional Water Cycle
  • quality of water
  • natural/anthropogenic water ingredients
  • Basics water science
  • water legislation (EU/D)
Literature

Schwoerbel, J. 2005: Einführung in die Limnologie. Heidelberg: Elsevier

Grohmann, A. u. a. 2011: Wasser. Berlin: de Gruyter

Kluth, W. & Schmeddinck, U. 2013: Umweltrecht: Ein Lehrbuch. Wiesbaden: Springer

Module M1722: New Trends in Water and Environmental Research

Courses
Title Typ Hrs/wk CP
Introduction to Microplastics in Environment (L2755) Integrated Lecture 2 2
Research Methods (L2756) Lecture 1 2
Research Trends (L2757) Seminar 2 2
Module Responsible Prof. Nima Shokri
Admission Requirements None
Recommended Previous Knowledge

Basic knowledge in water and environmental-related research

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students will be introduced to current research topics relevant to water and environment with a particular focus on the effects of microplastics in environment (introductory level). Data analysis, curation and presentation will be other skills discussed in this module.

Skills

Students' research and academics skills will be improved in this module. How to prepare and deliver an effective research presentation, how to write an abstract, research paper and proposal will be explained in this module. 

Personal Competence
Social Competence

Developing teamwork and problem solving skills through Research-Based Teaching approaches will be at the core of this module.

Autonomy

The students will be involved in writing individual project reports and giving research presentation. This will contribute to the students’ ability and willingness to work independently and responsibly.

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Written elaboration
Examination duration and scale Report and Presentation
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Water and Environmental Engineering: Elective Compulsory
Civil- and Environmental Engineering: Specialisation Water and Environment: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Water: Elective Compulsory
Course L2755: Introduction to Microplastics in Environment
Typ Integrated Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Nima Shokri
Language EN
Cycle WiSe
Content

Introduction - course objectives, expectations and format;

Source of microplastics in environment;

Microplastics sampling; Characterization of microplastics;

Fate and distribution of microplastics in terrestrial environments;

Effects of microplastics on terrestrial environments;

Health risks of microplastics in environments

Literature

1-  Characterization and Analysis of Microplastics, Volume 75 1st Edition

 Series Volume Editors: Teresa Rocha-Santos Armando Duarte

Elsevier, published in 2017

2- Microplastic Pollutants 1st Edition

 Authors: Christopher Blair Crawford, Brian Quinn

Elsevier Science, published in 2016

3- Microplastics in Terrestrial Environments

Authors: Defu He and Yongming Luo

Springer, published in 2020,  DOI https://doi.org/10.1007/978-3-030-56271-7

Course L2756: Research Methods
Typ Lecture
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Nima Shokri
Language EN
Cycle WiSe
Content

Introduction - course objectives, expectations and format

Analyzing the Audience, purpose and occasion

Constructing and delivering effective technical presentations

How to write an abstract

How to create a scientific poster

How to write a scientific paper

Individual project on water and environmental research

Presentation on water and environmental research

Literature
  • The Craft of Scientific Writing Fourth edition

    Author:  Michael Alley

    Springer-Verlag New York, Copyright 2018, DOI 10.1007/978-1-4419-8288-9

  • Supplemental materials and web links which will be available to registered students.
Course L2757: Research Trends
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Anna Luisa Hemshorn de Sánchez
Language EN
Cycle WiSe
Content

Introduction - course objectives, expectations and format

Analyzing the Audience, purpose and occasion

Constructing and delivering effective technical presentations

How to write an abstract

How to write a scientific paper

Developing competitive and persuasive research proposals

Databases and resources available for water and environmental research

Individual proposal on water and environmental research

Individual project on water and environmental research

Group projects and presentation on water and environmental research

Literature
  • The Craft of Scientific Writing Fourth edition

    Author:  Michael Alley

    Springer-Verlag New York, Copyright 2018, DOI 10.1007/978-1-4419-8288-9

  • Supplemental materials and web links which will be available to registered students.

Module M1713: Green Technologies III

Courses
Title Typ Hrs/wk CP
Study Work Green Technologies (L2766) Project Seminar 2 4
Scientific Work and Writing (L2765) Seminar 2 2
Module Responsible Dozenten des Studiengangs
Admission Requirements None
Recommended Previous Knowledge keine
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students, based on a literature survey, learn to study in detail a subject theme from the disciplines of green technologies and deliver afterwards a summary presentation to a specialised audience. Environmental issues and their multidisciplinary linkages are preferred, when selecting the thematic area of these studies. Through their own written contribution the students communicate an overview over the subject and practice technical writing. With the discussion the students practice scientific debating on a specialised subject matter.

Skills

The students can, when working on a technical topic not familiar to them:

  • conduct a literature survey
  • choose the relevant information for their presentation
  • prepare a written summary
  • present results in front of peers and staff
  • correctly cite and reference sources.
Personal Competence
Social Competence

The students practice a critical assessment of the literature in a predefined specialised theme and learn to give presentations on their own technical sub-topic tailored to their public and discuss with the audience. When attending technical presentations, the students can formulate questions to other speakers and participate in the ensuing discussion.

The fulfilment of the tasks combines independent work with group and teamwork.

Autonomy

The students can, guided by instructors, critically reflect on their learning and work status, and write a scientific report.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Study work
Examination duration and scale ?
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Renewable Energy: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Water and Environmental Engineering: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Water: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Systems: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Bioresource Technology: Elective Compulsory
Course L2766: Study Work Green Technologies
Typ Project Seminar
Hrs/wk 2
CP 4
Workload in Hours Independent Study Time 92, Study Time in Lecture 28
Lecturer Dozenten des Studiengangs
Language DE
Cycle WiSe
Content

Students carry out a research project in a scientific field under the guidance of an academic staff member. For this purpose, the student can approach the staff of the respective institute and discuss a topic. The topic is then worked on within 4 weeks and regular consultations are held with the supervisor. The student research project should be the size of a scientific article.

Literature
Course L2765: Scientific Work and Writing
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Dozenten des Studiengangs, Dr. Detlev Bieler, Florian Hagen
Language DE
Cycle WiSe
Content

The seminar offers an introduction into the diverse aspects of academic research and writing: Finding the topic, finding specialized information, knowledge organisation, writing, presenting and publishing. Suggestions for reflecting own processes of learning, informing and writing - in addition to practical recommendations and tips - facilitate the start and the creation of bachelor and master theses, works, which bring thoroughly self-fulfillment and make fun.

Topics of the seminar will be in particular

  • Scientific scholarship and academic research methods:
  • Introduction, organization, attributes of science:
    How is scientific knowledge created?
    Work scheduling, finding topics, time management, specialities of academic research in engineering
  • Finding specialized information: Full texts and library resources, databases http://www.tub.tuhh.de/en/subject-information/informing-points-to-survive/
  • Reference management: http://www.tub.tuhh.de/en/publishing/reference-management/
    Knowledge organisation and creating publications with Citavi
  • Citing correctly and avoiding plagiarism
  • Preparing and doing presentations
Literature
  1. Semesterapparat "Wissenschaftliches Arbeiten" in der TU-Bibliothek: http://tinyurl.com/Semesterapparat-Wiss-Arbeiten
  2. Weblog Wissenschaftliches Arbeiten der TU-Bibliothek: https://www.tub.tuhh.de/wissenschaftliches-arbeiten/
  3. Online-Tutorial VISION der TU-Bibliothek zum wissenschaftlichen Arbeiten: https://www.vision.tuhh.de (funktioniert nur mit installiertem Flash)
  4. Andreas Hirsch-Weber, Stefan Scherer: Wissenschaftliches Arbeiten und Abschlussarbeit in Natur- und Ingenieurwissenschaften : Grundlagen, Praxisbeispiele, Übungen. Stuttgart: Ulmer, 2016.
  5. Werner Sesink: Einführung in das wissenschaftliche Arbeiten : inklusive E-Learning, Web-Recherche, digitale Präsentation u.a. 9., aktualisierte Aufl. München : Oldenbourg, 2012.
  6. Judith Theuerkauf: Schreiben im Ingenieurstudium : effektiv und effizient zur Bachelor-, Master- und Doktorarbeit. Paderborn : Schöningh, 2012.
  7. Wolfsberger, Judith: Frei geschrieben : Mut, Freiheit & Strategie für wissenschaftliche Abschlussarbeiten. Wien: Böhlau, 2010
  8. Biedermann, Wieland u.a.: Forschungsmethodik in den Ingenieurwissenschaften : Skript vom Lehrstuhl für Produktentwicklung, Prof. Dr.-Ing. Udo Lindemann, Technische Universität München (TUM), 2012. https://www.mw.tum.de/fileadmin/w00btx/lpl/Documents/Forschungsmethodik_Skript.pdf
  9. Wissenschaftliches Arbeiten - HOOU Angebot der HCU Hamburg: https://blogs.hoou.de/wissarbeiten/
  1. Course Reserves Collection "Scholarly Research Methods" in the TUHH library: http://tinyurl.com/Semesterapparat-Wiss-Arbeiten
  2. Scholarly research methods via TUHH library Website: https://www.tub.tuhh.de/en/scholarly-research-methods/
  3. VISION - Online-Tutorial on research methods by the TUHH library: http://www.vision.tuhh.de (Flash has to be installed)
  4. Scientific papers and presentations / Martha Davis. 3. ed. Amsterdam: Elsevier / Academic Press, 2013. http://www.sciencedirect.com/science/book/9780123847270 
  5. Writing for science and engineering : papers, presentations and reports / Heather Silyn-Roberts. 2nd ed. Amsterdam : Elsevier, 2013. http://www.sciencedirect.com/science/book/9780080982854
  6. How to research / Loraine Blaxter, Christina Hughes and Malcolm Tight. Maidenhead : Open Univ. Press, 2010.
  7. Managing information for research : practical help in researching, writing and designing dissertations / Elizabeth Orna and Graham Stevens. Maidenhead : Open University Press McGraw-Hill, 2009.
  8. Writing scientific research articles : strategy and steps / Margaret Cargill and Patrick O’Connor. Chichester : Wiley-Blackwell, 2009.

Module M0869: Hydraulic Engineering

Courses
Title Typ Hrs/wk CP
Hydraulics (L0957) Lecture 1 1
Hydraulics (L0958) Project-/problem-based Learning 1 1
Hydraulic Engineering (L0959) Lecture 2 2
Hydraulic Engineering (L0960) Project-/problem-based Learning 1 2
Module Responsible Prof. Peter Fröhle
Admission Requirements None
Recommended Previous Knowledge Hydraulic Engineering I
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to define the basic terms of hydraulic engineering and hydraulics. They are able to explain the application of basic hydrodynamic formulations (conservation laws) to practical hydraulic engineering problems. Besides this, the students can illustrate important tasks of hydraulic engineering and give an overview over river engineering, flood protection, hydraulic power engineering and waterways engineering.

Skills

The students are able to apply hydraulic engineering methods and approaches to basic practical problems and design respective hydraulic engineering systems. Besides this, they are able to use and apply established approaches of hydraulics and determine water surfaces of channel flows, influences of constructions (weirs, etc.) on channel flows as well as flow conditions of pipe system. Furthermore, they are able to run, explain and document basic hydraulic experiments.

Personal Competence
Social Competence The students are able to deploy their gained knowledge in applied problems. Additionaly, they will be able to work in team with engineers of other disciplines in a goal-orientated, structured manner. They can explain their results by use of peer learning approaches.
Autonomy The students will be able to independently extend their knowledge and apply it to new problems. Furthermore, they are capable of organising their individual work flow to contribute to the conduct of experiments and to present discipline-specific knowledge.
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes None Subject theoretical and practical work Durchführung, Dokumentation und Präsentation zu einem Versuchs Hydromechanik oder Hydraulik
Examination Written exam
Examination duration and scale The duration of the examination is 2 hours. The examination includes tasks with respect to the general understanding of the lecture contents and calculations tasks.
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Civil Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Water and Environmental Engineering: Elective Compulsory
Civil- and Environmental Engineering: Core Qualification: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Civil Engineering: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Water: Elective Compulsory
Course L0957: Hydraulics
Typ Lecture
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Peter Fröhle
Language DE
Cycle WiSe/SoSe
Content

Flow of incompressible fluids in pipes and open channels

  • Hydraulics of pipes
  • Punps in hydraulic systems
  • Open channel flow
  • Regulative construction in open channel flow
    • Weirs
    • Sliding panels
    • Cross-section reduction by constructions


Literature

Zanke, Ulrich C. , Hydraulik für den WasserbauUrsprünglich erschienen unter: Schröder/Zanke "Technische Hydraulik", Springer-Verlag, 2003

Naudascher, E.:  Hydraulik der Gerinne und Gerinnebauwerke, Springer, 1992


Course L0958: Hydraulics
Typ Project-/problem-based Learning
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Peter Fröhle
Language DE
Cycle WiSe/SoSe
Content See interlocking course
Literature See interlocking course
Course L0959: Hydraulic Engineering
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Peter Fröhle
Language DE
Cycle WiSe/SoSe
Content

Fundamentals of hydraulic engineering

  • Introduction and hydrological cycle
  • River engineering
    • Regime theory of natural rivers
    • Sediment transport
    • Regulation of rivers
    • Bank protection / protection of river bed
    • Tidal rivers
  • Flood protection
    • Dikes
    • Flood contraol basins
  • Hydraulic power
  • Inland waterways engineering
    • waterways
    • Locks and ship lifts
    • Fish passages
  • Nature-oriented hydraulic engineering




Literature

Strobl, T. & Zunic, F: Wasserbau, Springer 2006

Patt, H. & Gonsowski, P: Wasserbau, Springer 2011

Course L0960: Hydraulic Engineering
Typ Project-/problem-based Learning
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Peter Fröhle
Language DE
Cycle WiSe/SoSe
Content See interlocking course
Literature See interlocking course

Module M1632: Applied Water Management

Courses
Title Typ Hrs/wk CP
Nature-oriented Hydraulic Engineering (L2472) Project-/problem-based Learning 2 2
Numerical modelling of soil water dynamics (L2471) Project-/problem-based Learning 2 2
Numerical modelling of soil water dynamics (L2470) Lecture 2 2
Module Responsible Prof. Peter Fröhle
Admission Requirements None
Recommended Previous Knowledge
  • Basic knowledge of analysis and differential equations
  • hydromechanical and hydraulic engineering principles
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to define the basic tasks and terms of nature-oriented hydraulic engineering und groundwater hydrology. They cam describe the basics concepts, the basic approaches and methods of nature-oriented hydraulic engineering, groundwater hydrology and groundwater modelling and are able to apply these to practical problems.

Skills

The students are able to apply the methods and approaches of nature-oriented hydraulic engineering and of groundwater hydrology to practical problems. They can demonstrate to transfer and apply these to simple hydraulic engineering systems. In addition, they are able to apply the approaches commonly used in groundwater hydrology. They can exemplarily explain and reason how to apply them as a basis for geo-hydrological questions. In addition, students can apply basic groundwater modelling methods to simple problems of groundwater movement and groundwater recharge.

Personal Competence
Social Competence

Students are able to help each other solving case studies. The students are able to deploy their gained knowledge in applied problems of the practical nature-based hydraulic engineering. Additionaly, they will be able to demonstrate to work cooperatively in teams consisting of engineers from different subject areas.

Autonomy

The students will be able to independently extend their knowledge and apply it to new problems.

Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Subject theoretical and practical work
Examination duration and scale Written-theoretical part and modeling
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Water and Environmental Engineering: Elective Compulsory
Civil- and Environmental Engineering: Specialisation Civil Engineering: Elective Compulsory
Civil- and Environmental Engineering: Specialisation Traffic and Mobility: Elective Compulsory
Civil- and Environmental Engineering: Specialisation Water and Environment: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Water: Elective Compulsory
Course L2472: Nature-oriented Hydraulic Engineering
Typ Project-/problem-based Learning
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Peter Fröhle
Language DE
Cycle SoSe
Content
  • Regime-theory and application for the development of environmental guiding priciples of rivers
  • Engineering-biological measures for the stabilization of rivers
  • design techniques for water engineering
  • hydraulic dimensioning of river bed and bank protection
  • design principles and design techniques for fish passages (fish ladder, ramps etc.)
     
Literature
Course L2471: Numerical modelling of soil water dynamics
Typ Project-/problem-based Learning
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Hannes Nevermann
Language EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L2470: Numerical modelling of soil water dynamics
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Nima Shokri
Language EN
Cycle SoSe
Content
  • Hydrologic water bilance
  • aquifertyps
  • groundwater velocities
  • Darcy law
  • groundwater contour lines
  • storage capacity
  • flow equation
  • pumping tests
  • method of Beyer
  • solute transport in groundwater
  • Basics and theoretical background of simulation methods for the analysis of water movement in vadose zone
  • groundwater recharge
Literature

Todd, K. (2005): Groundwater Hydrology

Fetter, C. W. (2001): Applied Hydrogeology

Hölting, B. & Coldewey, W. (2005): Hydrogeologie

Charbeneau, R. J. (2000): Groundwater Hydraulics and pollutant Transport

Module M0670: Particle Technology and Solids Process Engineering

Courses
Title Typ Hrs/wk CP
Particle Technology I (L0434) Lecture 2 3
Particle Technology I (L0435) Recitation Section (small) 1 1
Particle Technology I (L0440) Practical Course 2 2
Module Responsible Prof. Stefan Heinrich
Admission Requirements None
Recommended Previous Knowledge keine
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

After successful completion of the module students are able to

  • name and explain  processes and unit-operations of solids process engineering,
  • characterize particles, particle distributions and to discuss their bulk properties


Skills

Students are able to

  • choose and design apparatuses and processes for solids processing according to the desired solids properties of the product
  • asses solids with respect to their behavior in solids processing steps
  • document their work scientifically.
Personal Competence
Social Competence The students are able to discuss scientific topics orally with other students or scientific personal and to develop solutions for technical-scientific issues in a group.
Autonomy

Students are able to analyze and solve questions regarding solid particles independently.

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes None Written elaboration sechs Berichte (pro Versuch ein Bericht) à 5-10 Seiten
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Water and Environmental Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Bioprocess Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Process Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Chemical and Bioengineering: Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Energy and Environmental Engineering: Core Qualification: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Water: Elective Compulsory
Process Engineering: Core Qualification: Compulsory
Course L0434: Particle Technology I
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Stefan Heinrich
Language DE
Cycle SoSe
Content
  • Description of particles and particle distributions
  • Description of a separation process
  • Description of a particle mixture
  • Particle size reduction
  • Agglomeration, particle size enlargement
  • Storage and flow of bulk solids
  • Basics of fluid/particle flows
  • classifying processes
  • Separation of particles from fluids
  • Basic fluid mechanics of fluidized beds
  • Pneumatic and hydraulic transport


Literature

Schubert, H.; Heidenreich, E.; Liepe, F.; Neeße, T.: Mechanische Verfahrenstechnik. Deutscher Verlag für die Grundstoffindustrie, Leipzig, 1990.

Stieß, M.: Mechanische Verfahrenstechnik I und II. Springer Verlag, Berlin, 1992.


Course L0435: Particle Technology I
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Stefan Heinrich
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L0440: Particle Technology I
Typ Practical Course
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Stefan Heinrich
Language DE/EN
Cycle SoSe
Content
  • Sieving
  • Bulk properties
  • Size reduction
  • Mixing
  • Gas cyclone
  • Blaine-test, filtration
  • Sedimentation


Literature

Schubert, H.; Heidenreich, E.; Liepe, F.; Neeße, T.: Mechanische Verfahrenstechnik. Deutscher Verlag für die Grundstoffindustrie, Leipzig, 1990.

Stieß, M.: Mechanische Verfahrenstechnik I und II. Springer Verlag, Berlin, 1992.


Module M1630: Sanitary Engineering II

Courses
Title Typ Hrs/wk CP
Management of Wastewater Infrastructure (L2467) Seminar 2 3
Drinking Water Treatment (L2466) Seminar 2 3
Module Responsible Prof. Mathias Ernst
Admission Requirements None
Recommended Previous Knowledge

Basic knowledge in the field of drinking water supply and waste water disposal.

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students can examplify their expert knowledge on drinking water, waste water treatment and the associated infrastructure systems. They are capable of reproducing the relevant empiricals assumptions and scientific simplifcations in detail. The students can model some processes mathematically. They can also assess existing problems in the field of sanitary engineering, such as removal of nitrate, and place them in a socio-political context. Furthermore, they know how to draft the features and effectiveness of important  technologies of the future such as high- and low-pressure membrane filtration systems and techniques.

Skills

The students are able to apply the relevant standards and guidelines for the design and operation of urban water infrastructures independently. Their expertise comprises expert skills to design drinking water supply and urban drainage systems as well as the associated treatment facilities. Besides the acquirement of technical skills the students are able to address and solve biochemical problems in the filed of drinking water and wastewater treatment. The students are also able to develop ideas of their own to improve the existing water related infrastructures, systems and concepts.

Personal Competence
Social Competence

The students are able to develop a specific topic in a team and to work out milestones according to a given plan.

Autonomy

Students are in a position to work on a subject and to organize their work flow independently. They can also present on this subject.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Subject theoretical and practical work
Examination duration and scale Written-theoretical part and modelling
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Water and Environmental Engineering: Elective Compulsory
Civil- and Environmental Engineering: Specialisation Water and Environment: Compulsory
Civil- and Environmental Engineering: Specialisation Civil Engineering: Elective Compulsory
Civil- and Environmental Engineering: Specialisation Traffic and Mobility: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Water: Elective Compulsory
Course L2467: Management of Wastewater Infrastructure
Typ Seminar
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Ralf Otterpohl
Language DE
Cycle SoSe
Content

The seminar ""Infrastructure Management Wastewater"" develops the understanding of infrastructure systems in relation to wastewater systems, but also addresses other infrastructure systems. 

Initially, an overview of the entire system is given, including water catchment areas, water distribution, the origin of wastewater in households and industry, stormwater runoff management, and the treatment and reuse of water (constituents ). Thereby the design tools especially of digital modelling are understood by practical application. Energetic considerations as well as planning and restoration of pipeline systems are covered.  

For wastewater treatment, the basis developed in Sanitary Engineering I will be deepened and significantly expanded, especially the resource recovery of nutrients and water. Sanitary solutions for different socio-economic and climatic conditions are understood and calculated.

Literature

Gujer, W. (2007): Siedlungswasserwirtschaft, Springer, Berlin Heidelberg

Metcalf and Eddy (2003): Wastewater Engineering : Treatment and Reuse, Boston, McGraw-Hill

Henze, M. (1997): Wastewater Treatment : Biological and Chemical Processes, Berlin, Springer

Stein D., Stein R. (2014): Instandhaltung von Kanalisationen, Verlag Prof. Dr.-Ing. Stein & Partner GmbH

Wossog, G. (2016): Handbuch für den Rohrleitungsbau Band 1 und 2

Deutsche Vereinigung für Wasserwirtschaft, Abwasser und Abfall (2009): Abwasserableitung : Bemessungsgrundlagen, Regenwasserbewirtschaftung, Fremdwasser, Netzsanierung, Grundstücksentwässerung, Weimar, Univ.-Verl.

DWA Arbeitsblätter

Course L2466: Drinking Water Treatment
Typ Seminar
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Mathias Ernst, Dr. Klaus Johannsen
Language DE
Cycle SoSe
Content

The seminar deepens and expands the knowledge of the processes of drinking water treatment. The seminar deals with ion exchange, oxidation, disinfection, gas exchange and hybrid treatment processes. Further topics include pH adjustment and energy efficiency in water supply. Within the scope of the course, the students work out a seminar performance (presentation, design, modelling) on the basis of a task.

Literature

Worch, E. (2019): Drinking Water Treatment, De Gruyter-Verlag 

Worch, E. (2015): Hydrochemistry, De Gruyter-Verlag

Jekel, M., Czekalla, C. (2016): Wasseraufbereitung - Grundlagen und Verfahren (DVGW Lehr- und Handbuch Wasserversorgung, Band 6), DIV Deutscher Industrieverlag

Specialization Computer Science

The specialization in "Computer Science" allows the graduates to work in the IT sector and to enter Master studies. The Graduates are able to cooperate with Computer Scientists for the design and realization of complex IT tasks. The Graduates should be in the position to adapt to new developments. They should be able to become professionals in almost all branches.

The specialization in "Computer Science" consists of core courses in fundamentals of mathematics and computer science, and specialized courses in software or hardware.


Module M0730: Computer Engineering

Courses
Title Typ Hrs/wk CP
Computer Engineering (L0321) Lecture 3 4
Computer Engineering (L0324) Recitation Section (small) 1 2
Module Responsible Prof. Heiko Falk
Admission Requirements None
Recommended Previous Knowledge

Basic knowledge in electrical engineering

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

This module deals with the foundations of the functionality of computing systems. It covers the layers from the assembly-level programming down to gates. The module includes the following topics:

  • Introduction
  • Combinational logic: Gates, Boolean algebra, Boolean functions, hardware synthesis, combinational networks
  • Sequential logic: Flip-flops, automata, systematic hardware design
  • Technological foundations
  • Computer arithmetic: Integer addition, subtraction, multiplication and division
  • Basics of computer architecture: Programming models, MIPS single-cycle architecture, pipelining
  • Memories: Memory hierarchies, SRAM, DRAM, caches
  • Input/output: I/O from the perspective of the CPU, principles of passing data, point-to-point connections, busses
Skills

The students perceive computer systems from the architect's perspective, i.e., they identify the internal structure and the physical composition of computer systems. The students can analyze, how highly specific and individual computers can be built based on a collection of few and simple components. They are able to distinguish between and to explain the different abstraction layers of today's computing systems - from gates and circuits up to complete processors.

After successful completion of the module, the students are able to judge the interdependencies between a physical computer system and the software executed on it. In particular, they shall understand the consequences that the execution of software has on the hardware-centric abstraction layers from the assembly language down to gates. This way, they will be enabled to evaluate the impact that these low abstraction levels have on an entire system's performance and to propose feasible options.

Personal Competence
Social Competence

Students are able to solve similar problems alone or in a group and to present the results accordingly.

Autonomy

Students are able to acquire new knowledge from specific literature and to associate this knowledge with other classes.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes 10 % Excercises
Examination Written exam
Examination duration and scale 90 minutes, contents of course and labs
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Computer Science: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Materials in Engineering Sciences: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Renewable Energy: Elective Compulsory
Computer Science: Core Qualification: Compulsory
Data Science: Core Qualification: Elective Compulsory
Data Science: Specialisation I. Mathematics/Computer Science: Elective Compulsory
Electrical Engineering: Core Qualification: Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Integrated Building Technology: Core Qualification: Elective Compulsory
Technomathematics: Specialisation II. Informatics: Elective Compulsory
Course L0321: Computer Engineering
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Heiko Falk
Language DE/EN
Cycle WiSe
Content
  • Introduction
  • Combinational Logic
  • Sequential Logic
  • Technological Foundations
  • Representations of Numbers, Computer Arithmetics
  • Foundations of Computer Architecture
  • Memories
  • Input/Output
Literature
  • A. Clements. The Principles of Computer Hardware. 3. Auflage, Oxford University Press, 2000.
  • A. Tanenbaum, J. Goodman. Computerarchitektur. Pearson, 2001.
  • D. Patterson, J. Hennessy. Rechnerorganisation und -entwurf. Elsevier, 2005.
Course L0324: Computer Engineering
Typ Recitation Section (small)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Heiko Falk
Language DE/EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1423: Algorithms and Data Structures

Courses
Title Typ Hrs/wk CP
Algorithms and Data Structures (L2046) Lecture 4 4
Algorithms and Data Structures (L2047) Recitation Section (small) 1 2
Module Responsible Prof. Matthias Mnich
Admission Requirements None
Recommended Previous Knowledge
  • Discrete Algebraic Structures
  • Mathematics I
  • Mathematics II
  • Procedual Programming
  • Objectoriented Programming
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students can name the basic concepts in algorithm design, algorithm analysis and problem reductions. They are able to explain them using appropriate examples.
  • Students can discuss logical connections between these concepts.  They are capable of illustrating these connections with the help of examples.
  • They know proof strategies and can reproduce them.
Skills
  • Students can model discrete decision, search and optimization problems with the help of the concepts studied in this course. Moreover, they are capable of solving them, and reducing them to each other, by applying established methods.
  • Students are able to discover and verify further logical connections between the concepts studied in the course.
  • For a given problem, the students can develop and execute a suitable approach, and are able to critically evaluate the results.
Personal Competence
Social Competence
  • Students are able to work together in teams. They are capable to use mathematics as a common language.
  • In doing so, they can communicate new concepts according to the needs of their cooperating partners. Moreover, they can design examples to check and deepen the understanding of their peers.
Autonomy
  • Students are capable of checking their understanding of complex concepts on their own. They can specify open questions precisely and know where to get help in solving them.
  • Students have developed sufficient persistence to be able to work for longer periods in a goal-oriented manner on hard problems.
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Computer Science: Compulsory
Computer Science: Core Qualification: Compulsory
Data Science: Core Qualification: Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Logistics and Mobility: Specialisation Information Technology: Elective Compulsory
Technomathematics: Specialisation II. Informatics: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory
Course L2046: Algorithms and Data Structures
Typ Lecture
Hrs/wk 4
CP 4
Workload in Hours Independent Study Time 64, Study Time in Lecture 56
Lecturer Prof. Matthias Mnich
Language DE/EN
Cycle WiSe
Content
  • Insertion sort
  • Register machines
  • Asymptotic analysis, Landau notation
  • Polynomial-time algorithms and NP-completeness
  • Divide-and-conquer, merge sort
  • Strassen algorithm
  • Greedy algorithm
  • Dynamic programming
  • Quick sort
  • AVL-trees, B-trees
  • Hashing
  • Depth first search, breadth first search
  • Shortest paths
  • Flow problems, Ford-Fulkerson algorithm
Literature
  • T. Cormen, Ch. Leiserson, R. Rivest, C. Stein: Introduction to Algorithms. MIT Press, 2013
  • S. Skiena: The Algorithm Design Manual. Springer, 2008
  • J. M. Kleinberg and É. Tardos. Algorithm Design. Addison-Wesley, 2005.
Course L2047: Algorithms and Data Structures
Typ Recitation Section (small)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Matthias Mnich
Language DE/EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0852: Graph Theory and Optimization

Courses
Title Typ Hrs/wk CP
Graph Theory and Optimization (L1046) Lecture 2 3
Graph Theory and Optimization (L1047) Recitation Section (small) 2 3
Module Responsible Prof. Anusch Taraz
Admission Requirements None
Recommended Previous Knowledge
  • Discrete Algebraic Structures
  • Mathematics I
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students can name the basic concepts in Graph Theory and Optimization. They are able to explain them using appropriate examples.
  • Students can discuss logical connections between these concepts.  They are capable of illustrating these connections with the help of examples.
  • They know proof strategies and can reproduce them.
Skills
  • Students can model problems in Graph Theory and Optimization with the help of the concepts studied in this course. Moreover, they are capable of solving them by applying established methods.
  • Students are able to discover and verify further logical connections between the concepts studied in the course.
  • For a given problem, the students can develop and execute a suitable approach, and are able to critically evaluate the results.


Personal Competence
Social Competence
  • Students are able to work together in teams. They are capable to use mathematics as a common language.
  • In doing so, they can communicate new concepts according to the needs of their cooperating partners. Moreover, they can design examples to check and deepen the understanding of their peers.


Autonomy
  • Students are capable of checking their understanding of complex concepts on their own. They can specify open questions precisely and know where to get help in solving them.
  • Students have developed sufficient persistence to be able to work for longer periods in a goal-oriented manner on hard problems.


Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Computer Science: Compulsory
Computer Science: Core Qualification: Compulsory
Data Science: Core Qualification: Compulsory
Logistics and Mobility: Specialisation Engineering Science: Elective Compulsory
Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory
Logistics and Mobility: Specialisation Information Technology: Elective Compulsory
Technomathematics: Specialisation I. Mathematics: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory
Course L1046: Graph Theory and Optimization
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Anusch Taraz
Language DE/EN
Cycle SoSe
Content
  • Graphs, search algorithms for graphs, trees
  • planar graphs
  • shortest paths
  • minimum spanning trees
  • maximum flow and minimum cut
  • theorems of Menger, König-Egervary, Hall
  • NP-complete problems
  • backtracking and heuristics
  • linear programming
  • duality
  • integer linear programming

Literature
  • M. Aigner: Diskrete Mathematik, Vieweg, 2004
  • T. Cormen, Ch. Leiserson, R. Rivest, C. Stein: Algorithmen - Eine Einführung, Oldenbourg, 2013
  • J. Matousek und J. Nesetril: Diskrete Mathematik, Springer, 2007
  • A. Steger: Diskrete Strukturen (Band 1), Springer, 2001
  • A. Taraz: Diskrete Mathematik, Birkhäuser, 2012
  • V. Turau: Algorithmische Graphentheorie, Oldenbourg, 2009
  • K.-H. Zimmermann: Diskrete Mathematik, BoD, 2006
Course L1047: Graph Theory and Optimization
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Anusch Taraz
Language DE/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0727: Stochastics

Courses
Title Typ Hrs/wk CP
Stochastics (L0777) Lecture 2 4
Stochastics (L0778) Recitation Section (small) 2 2
Module Responsible Prof. Matthias Schulte
Admission Requirements None
Recommended Previous Knowledge
  • Calculus
  • Discrete algebraic structures (combinatorics)
  • Propositional logic
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students can name the basic concepts in Stochastics. They are able to explain them using appropriate examples.
  • Students can discuss logical connections between these concepts.  They are capable of illustrating these connections with the help of examples.
  • They know proof strategies and can reproduce them.
Skills
  • Students can model problems from stochastics with the help of the concepts studied in this course. Moreover, they are capable of solving them by applying established methods.
  • Students are able to discover and verify further logical connections between the concepts studied in the course.
  • For a given problem, the students can develop and execute a suitable approach, and are able to critically evaluate the results.
Personal Competence
Social Competence
  • Students are able to work together (e.g. on their regular home work) in heterogeneously composed teams (i.e., teams from different study programs and background knowledge) and to present their results appropriately (e.g. during exercise class).
  • In doing so, they can communicate new concepts according to the needs of their cooperating partners. Moreover, they can design examples to check and deepen the understanding of their peers.

Autonomy
  • Students are capable of checking their understanding of complex concepts on their own. They can specify open questions precisely and know where to get help in solving them.
  • Students can put their knowledge in relation to the contents of other lectures.
  • Students have developed sufficient persistence to be able to work for longer periods in a goal-oriented manner on hard problems.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Computer Science: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Elective Compulsory
Computer Science: Core Qualification: Compulsory
Data Science: Core Qualification: Compulsory
Engineering Science: Specialisation Advanced Materials: Elective Compulsory
Engineering Science: Specialisation Electrical Engineering: Elective Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Logistics and Mobility: Specialisation Engineering Science: Elective Compulsory
Logistics and Mobility: Specialisation Information Technology: Elective Compulsory
Orientation Studies: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Core Qualification: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory
Course L0777: Stochastics
Typ Lecture
Hrs/wk 2
CP 4
Workload in Hours Independent Study Time 92, Study Time in Lecture 28
Lecturer Prof. Matthias Schulte
Language DE/EN
Cycle SoSe
Content
  • Definitions of probability, conditional probability
  • Random variables
  • Independence
  • Distributions and density functions
  • Characteristics: expectation, variance, standard deviation, moments
  • Multivariate distributions
  • Law of large numbers and central limit theorem
  • Basic notions of stochastic processes
  • Basic concepts of statistics (point estimators, confidence intervals, hypothesis testing)
Literature
  • L. Dümbgen (2003): Stochastik für Informatiker, Springer.
  • H.-O. Georgii (2012): Stochastics: Introduction to Probability and Statistics, 2nd edition, De Gruyter.
  • N. Henze (2018): Stochastik für Einsteiger, 12th edition, Springer.
  • A. Klenke (2014): Probability Theory: A Comprehensive Course, 2nd edition, Springer.
  • U. Krengel (2005): Einführung in die Wahrscheinlichkeitstheorie und Statistik, 8th edition, Vieweg.
  • A.N. Shiryaev (2012): Problems in probability, Springer.
Course L0778: Stochastics
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Matthias Schulte
Language DE/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0624: Automata Theory and Formal Languages

Courses
Title Typ Hrs/wk CP
Automata Theory and Formal Languages (L0332) Lecture 2 4
Automata Theory and Formal Languages (L0507) Recitation Section (small) 2 2
Module Responsible Prof. Matthias Mnich
Admission Requirements None
Recommended Previous Knowledge

Participating students should be able to

- specify algorithms for simple data structures (such as, e.g., arrays) to solve computational problems 

- apply propositional logic and predicate logic for specifying and understanding mathematical proofs

- apply the knowledge and skills taught in the module Discrete Algebraic Structures

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can explain syntax, semantics, and decision problems of propositional logic, and they are able to give algorithms for solving decision problems. Students can show correspondences to Boolean algebra. Students can describe which application problems are hard to represent with propositional logic, and therefore, the students can motivate predicate logic, and define syntax, semantics, and decision problems for this representation formalism. Students can explain unification and resolution for solving the predicate logic SAT decision problem. Students can also describe syntax, semantics, and decision problems for various kinds of temporal logic, and identify their application areas. The participants of the course can define various kinds of finite automata and can identify relationships to logic and formal grammars. The spectrum that students can explain ranges from deterministic and nondeterministic finite automata and pushdown automata to Turing machines. Students can name those formalism for which nondeterminism is more expressive than determinism. They are also able to demonstrate which decision problems require which expressivity, and, in addition, students can transform decision problems w.r.t. one formalism into decision problems w.r.t. other formalisms. They understand that some formalisms easily induce algorithms whereas others are best suited for specifying systems and their properties. Students can describe the relationships between formalisms such as logic, automata, or grammars.



Skills

Students can apply propositional logic as well as predicate logic resolution to a given set of formulas. Students analyze application problems in order to derive propositional logic, predicate logic, or temporal logic formulas to represent them. They can evaluate which formalism is best suited for a particular application problem, and they can demonstrate the application of algorithms for decision problems to specific formulas. Students can also transform nondeterministic automata into deterministic ones, or derive grammars from automata and vice versa. They can show how parsers work, and they can apply algorithms for the language emptiness problem in case of infinite words.

Personal Competence
Social Competence
  • Students are able to work together in teams. They are capable to use mathematics as a common language.
  • In doing so, they can communicate new concepts according to the needs of their cooperating partners. Moreover, they can design examples to check and deepen the understanding of their peers.
Autonomy
  • Students are capable of checking their understanding of complex concepts on their own. They can specify open questions precisely and know where to get help in solving them.
  • Students have developed sufficient persistence to be able to work for longer periods in a goal-oriented manner on hard problems.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Computer Science: Compulsory
Computer Science: Core Qualification: Compulsory
Data Science: Core Qualification: Compulsory
Engineering Science: Specialisation Mechatronics: Elective Compulsory
Engineering Science: Specialisation Mechatronics: Elective Compulsory
General Engineering Science (English program, 7 semester): Specialisation Mechatronics: Elective Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Orientation Studies: Core Qualification: Elective Compulsory
Technomathematics: Specialisation II. Informatics: Elective Compulsory
Course L0332: Automata Theory and Formal Languages
Typ Lecture
Hrs/wk 2
CP 4
Workload in Hours Independent Study Time 92, Study Time in Lecture 28
Lecturer Prof. Matthias Mnich
Language EN
Cycle SoSe
Content
  1. Propositional logic, Boolean algebra, propositional resolution, SAT-2KNF
  2. Predicate logic, unification, predicate logic resolution
  3. Temporal Logics (LTL, CTL)
  4. Deterministic finite automata, definition and construction
  5. Regular languages, closure properties, word problem, string matching
  6. Nondeterministic automata: 
    Rabin-Scott transformation of nondeterministic into deterministic automata
  7. Epsilon automata, minimization of automata,
    elimination of e-edges, uniqueness of the minimal automaton (modulo renaming of states)
  8. Myhill-Nerode Theorem: 
    Correctness of the minimization procedure, equivalence classes of strings induced by automata
  9. Pumping Lemma for regular languages:
    provision of a tool which, in some cases, can be used to show that a finite automaton principally cannot be expressive enough to solve a word problem for some given language
  10. Regular expressions vs. finite automata:
    Equivalence of formalisms, systematic transformation of representations, reductions
  11. Pushdown automata and context-free grammars:
    Definition of pushdown automata, definition of context-free grammars, derivations, parse trees, ambiguities, pumping lemma for context-free grammars, transformation of formalisms (from pushdown automata to context-free grammars and back)
  12. Chomsky normal form
  13. CYK algorithm for deciding the word problem for context-free grammrs
  14. Deterministic pushdown automata
  15. Deterministic vs. nondeterministic pushdown automata:
    Application for parsing, LL(k) or LR(k) grammars and parsers vs. deterministic pushdown automata, compiler compiler
  16. Regular grammars
  17. Outlook: Turing machines and linear bounded automata vs general and context-sensitive grammars
  18. Chomsky hierarchy
  19. Mealy- and Moore automata:
    Automata with output (w/o accepting states), infinite state sequences, automata networks
  20. Omega automata: Automata for infinite input words, Büchi automata, representation of state transition systems, verification w.r.t. temporal logic specifications (in particular LTL)
  21. LTL safety conditions and model checking with Büchi automata, relationships between automata and logic
  22. Fixed points, propositional mu-calculus
  23. Characterization of regular languages by monadic second-order logic (MSO)
Literature
  1. Logik für Informatiker Uwe Schöning, Spektrum, 5. Aufl.
  2. Logik für Informatiker Martin Kreuzer, Stefan Kühling, Pearson Studium, 2006
  3. Grundkurs Theoretische Informatik, Gottfried Vossen, Kurt-Ulrich Witt, Vieweg-Verlag, 2010.
  4. Principles of Model Checking, Christel Baier, Joost-Pieter Katoen, The MIT Press, 2007

Course L0507: Automata Theory and Formal Languages
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Matthias Mnich
Language EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0803: Embedded Systems

Courses
Title Typ Hrs/wk CP
Embedded Systems (L0805) Lecture 3 3
Embedded Systems (L2938) Project-/problem-based Learning 1 1
Embedded Systems (L0806) Recitation Section (small) 1 2
Module Responsible Prof. Heiko Falk
Admission Requirements None
Recommended Previous Knowledge Computer Engineering
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Embedded systems can be defined as information processing systems embedded into enclosing products. This course teaches the foundations of such systems. In particular, it deals with an introduction into these systems (notions, common characteristics) and their specification languages (models of computation, hierarchical automata, specification of distributed systems, task graphs, specification of real-time applications, translations between different models).

Another part covers the hardware of embedded systems: Sonsors, A/D and D/A converters, real-time capable communication hardware, embedded processors, memories, energy dissipation, reconfigurable logic and actuators. The course also features an introduction into real-time operating systems, middleware and real-time scheduling. Finally, the implementation of embedded systems using hardware/software co-design (hardware/software partitioning, high-level transformations of specifications, energy-efficient realizations, compilers for embedded processors) is covered.

Skills After having attended the course, students shall be able to realize simple embedded systems. The students shall realize which relevant parts of technological competences to use in order to obtain a functional embedded systems. In particular, they shall be able to compare different models of computations and feasible techniques for system-level design. They shall be able to judge in which areas of embedded system design specific risks exist.
Personal Competence
Social Competence

Students are able to solve similar problems alone or in a group and to present the results accordingly.

Autonomy

Students are able to acquire new knowledge from specific literature and to associate this knowledge with other classes.

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes 10 % Subject theoretical and practical work
Examination Written exam
Examination duration and scale 90 minutes, contents of course and labs
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Computer Science: Compulsory
Computer Science: Specialisation I. Computer and Software Engineering: Elective Compulsory
Electrical Engineering: Core Qualification: Elective Compulsory
Engineering Science: Specialisation Mechatronics: Elective Compulsory
Engineering Science: Specialisation Electrical Engineering: Elective Compulsory
Aircraft Systems Engineering: Core Qualification: Elective Compulsory
General Engineering Science (English program, 7 semester): Specialisation Mechatronics: Elective Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Mechatronics: Specialisation System Design: Elective Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Microelectronics and Microsystems: Specialisation Embedded Systems: Elective Compulsory
Course L0805: Embedded Systems
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Heiko Falk
Language EN
Cycle SoSe
Content
  • Introduction
  • Specifications and Modeling
  • Embedded/Cyber-Physical Systems Hardware
  • System Software
  • Evaluation and Validation
  • Mapping of Applications to Execution Platforms
  • Optimization
Literature
  • Peter Marwedel. Embedded System Design - Embedded Systems Foundations of Cyber-Physical Systems. 2nd Edition, Springer, 2012., Springer, 2012.
Course L2938: Embedded Systems
Typ Project-/problem-based Learning
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Heiko Falk
Language EN
Cycle SoSe
Content
  • Introduction
  • Specifications and Modeling
  • Embedded/Cyber-Physical Systems Hardware
  • System Software
  • Evaluation and Validation
  • Mapping of Applications to Execution Platforms
  • Optimization
Literature
  • Peter Marwedel. Embedded System Design - Embedded Systems Foundations of Cyber-Physical Systems. 2nd Edition, Springer, 2012., Springer, 2012.
Course L0806: Embedded Systems
Typ Recitation Section (small)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Heiko Falk
Language EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0662: Numerical Mathematics I

Courses
Title Typ Hrs/wk CP
Numerical Mathematics I (L0417) Lecture 2 3
Numerical Mathematics I (L0418) Recitation Section (small) 2 3
Module Responsible Prof. Sabine Le Borne
Admission Requirements None
Recommended Previous Knowledge
  • Mathematik I + II for Engineering Students (german or english) or Analysis & Linear Algebra I + II for Technomathematicians
  • basic MATLAB/Python knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to

  • name numerical methods for interpolation, integration, least squares problems, eigenvalue problems, nonlinear root finding problems and to explain their core ideas,
  • repeat convergence statements for the numerical methods,
  • explain aspects for the practical execution of numerical methods with respect to computational and storage complexitx.


Skills

Students are able to

  • implement, apply and compare numerical methods using MATLAB/Python,
  • justify the convergence behaviour of numerical methods with respect to the problem and solution algorithm,
  • select and execute a suitable solution approach for a given problem.
Personal Competence
Social Competence

Students are able to

  • work together in heterogeneously composed teams (i.e., teams from different study programs and background knowledge), explain theoretical foundations and support each other with practical aspects regarding the implementation of algorithms.
Autonomy

Students are capable

  • to assess whether the supporting theoretical and practical excercises are better solved individually or in a team,
  • to assess their individual progess and, if necessary, to ask questions and seek help.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Computer Science: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Materials in Engineering Sciences: Compulsory
Bioprocess Engineering: Specialisation A - General Bioprocess Engineering: Elective Compulsory
Computer Science: Specialisation II. Mathematics and Engineering Science: Elective Compulsory
Data Science: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Elective Compulsory
Engineering Science: Core Qualification: Compulsory
Engineering Science: Core Qualification: Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Mechanical Engineering: Specialisation Theoretical Mechanical Engineering: Compulsory
Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course Core Studies: Elective Compulsory
Process Engineering: Specialisation Process Engineering: Elective Compulsory
Course L0417: Numerical Mathematics I
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sabine Le Borne
Language EN
Cycle WiSe
Content
  1. Finite precision arithmetic, error analysis, conditioning and stability
  2. Linear systems of equations: LU and Cholesky factorization, condition
  3. Interpolation: polynomial, spline and trigonometric interpolation
  4. Nonlinear equations: fixed point iteration, root finding algorithms, Newton's method
  5. Linear and nonlinear least squares problems: normal equations, Gram Schmidt and Householder orthogonalization, singular value decomposition, regularizatio, Gauss-Newton and Levenberg-Marquardt methods
  6. Eigenvalue problems: power iteration, inverse iteration, QR algorithm
  7. Numerical differentiation
  8. Numerical integration: Newton-Cotes rules, error estimates, Gauss quadrature, adaptive quadrature
Literature
  • Gander/Gander/Kwok: Scientific Computing: An introduction using Maple and MATLAB, Springer (2014)
  • Stoer/Bulirsch: Numerische Mathematik 1, Springer
  • Dahmen, Reusken: Numerik für Ingenieure und Naturwissenschaftler, Springer


Course L0418: Numerical Mathematics I
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sabine Le Borne, Dr. Jens-Peter Zemke
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0731: Functional Programming

Courses
Title Typ Hrs/wk CP
Functional Programming (L0624) Lecture 2 2
Functional Programming (L0625) Recitation Section (large) 2 2
Functional Programming (L0626) Recitation Section (small) 2 2
Module Responsible Prof. Sibylle Schupp
Admission Requirements None
Recommended Previous Knowledge Discrete mathematics at high-school level 
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students apply the principles, constructs, and simple design techniques of functional programming. They demonstrate their ability to read Haskell programs and to explain Haskell syntax as well as Haskell's read-eval-print loop. They interpret warnings and find errors in programs. They apply the fundamental data structures, data types, and type constructors. They employ strategies for unit tests of functions and simple proof techniques for partial and total correctness. They distinguish laziness from other evaluation strategies. 

Skills

Students break a natural-language description down in parts amenable to a formal specification and develop a functional program in a structured way. They assess different language constructs, make conscious selections both at specification and implementations level, and justify their choice. They analyze given programs and rewrite them in a controlled way. They design and implement unit tests and can assess the quality of their tests. They argue for the correctness of their program.

Personal Competence
Social Competence

Students practice peer programming with varying peers. They explain problems and solutions to their peer. They defend their programs orally. They communicate in English.

Autonomy

In programming labs, students learn  under supervision (a.k.a. "Betreutes Programmieren") the mechanics of programming. In exercises, they develop solutions individually and independently, and receive feedback. 

Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes 15 % Excercises
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Computer Science: Elective Compulsory
Computer Science: Core Qualification: Compulsory
Data Science: Core Qualification: Elective Compulsory
Data Science: Specialisation I. Mathematics/Computer Science: Elective Compulsory
Engineering Science: Specialisation Mechatronics: Elective Compulsory
General Engineering Science (English program, 7 semester): Specialisation Mechatronics: Elective Compulsory
Computer Science in Engineering: Specialisation I. Computer Science: Elective Compulsory
Technomathematics: Specialisation II. Informatics: Elective Compulsory
Course L0624: Functional Programming
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Sibylle Schupp
Language EN
Cycle WiSe
Content
  • Functions, Currying, Recursive Functions, Polymorphic Functions, Higher-Order Functions
  • Conditional Expressions, Guarded Expressions, Pattern Matching, Lambda Expressions
  • Types (simple, composite), Type Classes, Recursive Types, Algebraic Data Type
  • Type Constructors: Tuples, Lists, Trees, Associative Lists (Dictionaries, Maps)
  • Modules
  • Interactive Programming
  • Lazy Evaluation, Call-by-Value, Strictness
  • Design Recipes
  • Testing (axiom-based, invariant-based, against reference implementation)
  • Reasoning about Programs (equation-based, inductive)
  • Idioms of Functional Programming
  • Haskell Syntax and Semantics
Literature

Graham Hutton, Programming in Haskell, Cambridge University Press 2007.

Course L0625: Functional Programming
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Sibylle Schupp
Language EN
Cycle WiSe
Content
  • Functions, Currying, Recursive Functions, Polymorphic Functions, Higher-Order Functions
  • Conditional Expressions, Guarded Expressions, Pattern Matching, Lambda Expressions

  • Types (simple, composite), Type Classes, Recursive Types, Algebraic Data Type
  • Type Constructors: Tuples, Lists, Trees, Associative Lists (Dictionaries, Maps)
  • Modules
  • Interactive Programming
  • Lazy Evaluation, Call-by-Value, Strictness
  • Design Recipes
  • Testing (axiom-based, invariant-based, against reference implementation)
  • Reasoning about Programs (equation-based, inductive)
  • Idioms of Functional Programming
  • Haskell Syntax and Semantics

Literature

Graham Hutton, Programming in Haskell, Cambridge University Press 2007.

Course L0626: Functional Programming
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Sibylle Schupp
Language EN
Cycle WiSe
Content
  • Functions, Currying, Recursive Functions, Polymorphic Functions, Higher-Order Functions
  • Conditional Expressions, Guarded Expressions, Pattern Matching, Lambda Expressions

  • Types (simple, composite), Type Classes, Recursive Types, Algebraic Data Type
  • Type Constructors: Tuples, Lists, Trees, Associative Lists (Dictionaries, Maps)
  • Modules
  • Interactive Programming
  • Lazy Evaluation, Call-by-Value, Strictness
  • Design Recipes
  • Testing (axiom-based, invariant-based, against reference implementation)
  • Reasoning about Programs (equation-based, inductive)
  • Idioms of Functional Programming
  • Haskell Syntax and Semantics

Literature

Graham Hutton, Programming in Haskell, Cambridge University Press 2007.

Module M1578: Seminars Computer Science

Courses
Title Typ Hrs/wk CP
Introductory Seminar Computer Science I (L2362) Seminar 2 3
Introductory Seminar Computer Science II (L2361) Seminar 2 3
Module Responsible Dozenten des SD E
Admission Requirements None
Recommended Previous Knowledge

Basic knowledge of Computer Science and Mathematics at the Bachelor's level.

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students are able to

  • explicate a specific topic in the field of Computer Science,
  • describe complex issues,
  • present different views and evaluate in a critical way. 
Skills

The students are able to

  • familiarize in a specific topic of Computer Science in limited time,
  • realize a literature survey on the specific topic and cite in a correct way,
  • elaborate a presentation and give a lecture to a selected audience,
  • sum up the presentation in 10-15 lines,
  • answer questions in the final discussion.
Personal Competence
Social Competence

The students are able to

  • elaborate and introduce a topic for a certain audience,
  • discuss the topic, content and structure of the presentation with the instructor,
  • discuss certain aspects with the audience, and
  • as the lecturer listen and respond to questions from the audience.
Autonomy

The students are able to

  • define the task in question in an autonomous way,
  • develop the necessary knowledge,
  • use appropriate work equipment, and
  • guided by an instructor critically check the working status.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Presentation
Examination duration and scale x
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Computer Science: Elective Compulsory
Computer Science: Core Qualification: Compulsory
Data Science: Core Qualification: Compulsory
Data Science: Core Qualification: Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Course L2362: Introductory Seminar Computer Science I
Typ Seminar
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dozenten des SD E
Language DE/EN
Cycle WiSe/SoSe
Content
Literature
Course L2361: Introductory Seminar Computer Science II
Typ Seminar
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dozenten des SD E
Language DE/EN
Cycle WiSe/SoSe
Content
Literature

Module M0791: Computer Architecture

Courses
Title Typ Hrs/wk CP
Computer Architecture (L0793) Lecture 2 3
Computer Architecture (L0794) Project-/problem-based Learning 2 2
Computer Architecture (L1864) Recitation Section (small) 1 1
Module Responsible Prof. Heiko Falk
Admission Requirements None
Recommended Previous Knowledge

Module "Computer Engineering"

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

This module presents advanced concepts from the discipline of computer architecture. In the beginning, a broad overview over various programming models is given, both for general-purpose computers and for special-purpose machines (e.g., signal processors). Next, foundational aspects of the micro-architecture of processors are covered. Here, the focus particularly lies on the so-called pipelining and the methods used for the acceleration of instruction execution used in this context. The students get to know concepts for dynamic scheduling, branch prediction, superscalar execution of machine instructions and for memory hierarchies.

Skills

The students are able to describe the organization of processors. They know the different architectural principles and programming models. The students examine various structures of pipelined processor architectures and are able to explain their concepts and to analyze them w.r.t. criteria like, e.g., performance or energy efficiency. They evaluate different structures of memory hierarchies, know parallel computer architectures and are able to distinguish between instruction- and data-level parallelism.

Personal Competence
Social Competence

Students are able to solve similar problems alone or in a group and to present the results accordingly.

Autonomy

Students are able to acquire new knowledge from specific literature and to associate this knowledge with other classes.

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 15 % Subject theoretical and practical work
Examination Written exam
Examination duration and scale 90 minutes, contents of course and 4 attestations from the PBL "Computer architecture"
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Computer Science: Elective Compulsory
Computer Science: Specialisation I. Computer and Software Engineering: Elective Compulsory
Aircraft Systems Engineering: Core Qualification: Elective Compulsory
Computer Science in Engineering: Specialisation I. Computer Science: Elective Compulsory
Microelectronics and Microsystems: Specialisation Embedded Systems: Elective Compulsory
Course L0793: Computer Architecture
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Heiko Falk
Language DE/EN
Cycle WiSe
Content
  • Introduction
  • VHDL Basics
  • Programming Models
  • Realization of Elementary Data Types
  • Dynamic Scheduling
  • Branch Prediction
  • Superscalar Machines
  • Memory Hierarchies

The theoretical tutorials amplify the lecture's content by solving and discussing exercise sheets and thus serve as exam preparation. Practical aspects of computer architecture are taught in the FPGA-based PBL on computer architecture whose attendance is mandatory.

Literature
  • D. Patterson, J. Hennessy. Rechnerorganisation und -entwurf. Elsevier, 2005.
  • A. Tanenbaum, J. Goodman. Computerarchitektur. Pearson, 2001.
Course L0794: Computer Architecture
Typ Project-/problem-based Learning
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Heiko Falk
Language DE/EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L1864: Computer Architecture
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Heiko Falk
Language DE/EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0834: Computernetworks and Internet Security

Courses
Title Typ Hrs/wk CP
Computer Networks and Internet Security (L1098) Lecture 3 5
Computer Networks and Internet Security (L1099) Recitation Section (small) 1 1
Module Responsible Prof. Andreas Timm-Giel
Admission Requirements None
Recommended Previous Knowledge

Basics of Computer Science

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to explain important and common Internet protocols in detail and classify them, in order to be able to analyse and develop networked systems in further studies and job.

Skills

Students are able to analyse common Internet protocols and evaluate the use of them in different domains.

Personal Competence
Social Competence


Autonomy

Students can select relevant parts out of high amount of professional knowledge and can independently learn and understand it.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Computer Science: Elective Compulsory
Computer Science: Core Qualification: Compulsory
Data Science: Specialisation I. Mathematics/Computer Science: Elective Compulsory
Data Science: Core Qualification: Elective Compulsory
Electrical Engineering: Core Qualification: Elective Compulsory
Engineering Science: Specialisation Electrical Engineering: Elective Compulsory
Engineering Science: Specialisation Mechatronics: Elective Compulsory
Engineering Science: Specialisation Mechatronics: Elective Compulsory
General Engineering Science (English program, 7 semester): Specialisation Mechatronics: Elective Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Technomathematics: Specialisation II. Informatics: Elective Compulsory
Course L1098: Computer Networks and Internet Security
Typ Lecture
Hrs/wk 3
CP 5
Workload in Hours Independent Study Time 108, Study Time in Lecture 42
Lecturer Prof. Andreas Timm-Giel, Prof. Dieter Gollmann, Dr.-Ing. Koojana Kuladinithi
Language EN
Cycle WiSe
Content

In this class an introduction to computer networks with focus on the Internet and its security is given. Basic functionality of complex protocols are introduced. Students learn to understand these and identify common principles. In the exercises these basic principles and an introduction to performance modelling are addressed using computing tasks and (virtual) labs.

In the second part of the lecture an introduction to Internet security is given.

This class comprises:

  • Application layer protocols (HTTP, FTP, DNS)
  • Transport layer protocols (TCP, UDP)
  • Network Layer (Internet Protocol, routing in the Internet)
  • Data link layer with media access at the example of Ethernet
  • Multimedia applications in the Internet
  • Network management
  • Internet security: IPSec
  • Internet security: Firewalls
Literature


  • Kurose, Ross, Computer Networking - A Top-Down Approach, 6th Edition, Addison-Wesley
  • Kurose, Ross, Computernetzwerke - Der Top-Down-Ansatz, Pearson Studium; Auflage: 6. Auflage
  • W. Stallings: Cryptography and Network Security: Principles and Practice, 6th edition



Further literature is announced at the beginning of the lecture.


Course L1099: Computer Networks and Internet Security
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Andreas Timm-Giel, Prof. Dieter Gollmann
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1592: Statistics

Courses
Title Typ Hrs/wk CP
Statistics (L2430) Lecture 3 4
Statistics (L2431) Recitation Section (small) 1 2
Module Responsible Prof. Matthias Schulte
Admission Requirements None
Recommended Previous Knowledge Stochastics (or a comparable class)
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students can name the basic concepts in Statistics. They are able to explain them using appropriate examples.
  • Students can discuss logical connections between these concepts.  They are capable of illustrating these connections with the help of examples.
Skills
  • Students can model statistical problems with the help of the concepts studied in this course. Moreover, they are capable of solving them by applying established methods. They are able to use the statistical software R.
  • Students are able to discover and verify further logical connections between the concepts studied in the course.
  • For a given problem, the students can develop and execute a suitable approach, and are able to critically evaluate the results.
Personal Competence
Social Competence
  • Students are able to work together (e.g. on their regular home work) in heterogeneously composed teams and to present their results appropriately (e.g. during exercise class).
  • In doing so, they can communicate new concepts according to the needs of their cooperating partners. Moreover, they can design examples to check and deepen the understanding of their peers. 
Autonomy
  • Students are capable of checking their understanding of complex concepts on their own. They can specify open questions precisely and know where to get help in solving them.
  • Students can put their knowledge in relation to the contents of other lectures.
  • Students have developed sufficient persistence to be able to work for longer periods in a goal-oriented manner on hard problems.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Computer Science: Elective Compulsory
Computer Science: Specialisation II. Mathematics and Engineering Science: Elective Compulsory
Data Science: Core Qualification: Compulsory
Engineering Science: Specialisation Advanced Materials: Elective Compulsory
Logistics and Mobility: Specialisation Information Technology: Elective Compulsory
Technomathematics: Specialisation I. Mathematics: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory
Course L2430: Statistics
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Matthias Schulte
Language DE/EN
Cycle WiSe
Content
  • Multivariate distributions and stochastic convergence
  • Point estimators
  • Confidence intervals
  • Hypothesis testing
  • Nonparametric statistics
  • Linear Regression
  • Time series analysis
  • Statistical software (R)
Literature
  • L. Dümbgen (2016): Einführung in die Statistik, Birkhäuser.
  • L. Dümbgen (2003): Stochastik für Informatiker, Springer.
  • H.-O. Georgii (2012): Stochastics: Introduction to Probability and Statistics, 2nd edition, De Gruyter.
  • N. Henze (2018): Stochastik für Einsteiger, 12th edition, Springer.
  • A. Klenke (2014): Probability Theory: A Comprehensive Course, 2nd edition, Springer.
  • U. Krengel (2005): Einführung in die Wahrscheinlichkeitstheorie und Statistik, 8th edition, Vieweg.
Course L2431: Statistics
Typ Recitation Section (small)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Matthias Schulte
Language DE/EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0562: Computability and Complexity Theory

Courses
Title Typ Hrs/wk CP
Computability and Complexity Theory (L0166) Lecture 2 3
Computability and Complexity Theory (L0167) Recitation Section (small) 2 3
Module Responsible NN
Admission Requirements None
Recommended Previous Knowledge Discrete Algebraic Structures, Automata Theory, Logic, and Formal Language Theory.
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students known the important machine models of computability, the class of partial recursive functions, universal computability, Gödel numbering of computations, the theorems of Kleene, Rice, and Rice-Shapiro, the concept of decidable and undecidable sets, the word problems for semi-Thue systems, Thue systems, semi-groups, and Post correspondence systems, Hilbert's 10-th problem, and the basic concepts of complexity theory.

Skills

Students are able to investigate the computability of sets and functions and to analyze the complexity of computable functions.

Personal Competence
Social Competence

Students are able to solve specific problems alone or in a group and to present the results accordingly.

Autonomy

Students are able to acquire new knowledge from newer literature and to associate the acquired knowledge with other classes.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 60 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Computer Science: Elective Compulsory
Computer Science: Core Qualification: Compulsory
Data Science: Core Qualification: Elective Compulsory
Data Science: Specialisation I. Mathematics/Computer Science: Elective Compulsory
Computer Science in Engineering: Specialisation I. Computer Science: Elective Compulsory
Technomathematics: Specialisation II. Informatics: Elective Compulsory
Course L0166: Computability and Complexity Theory
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer NN
Language DE/EN
Cycle SoSe
Content
Literature
Course L0167: Computability and Complexity Theory
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer NN
Language DE/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0971: Operating Systems

Courses
Title Typ Hrs/wk CP
Operating Systems (L1153) Lecture 2 3
Operating Systems (L1154) Recitation Section (small) 2 3
Module Responsible Prof. Volker Turau
Admission Requirements None
Recommended Previous Knowledge
  • Object-oriented programming, algorithms, and data structures
  • Procedural programming
  • Experience in using tools related to operating systems such as editors, linkers, compilers
  • Experience in using C-libraries
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students explain the main abstractions process, virtual memory, deadlock, lifelock, and file of operations systems, describe the process states and their transitions, and paraphrase the architectural variants of operating systems. They give examples of existing operating systems and explain their architectures. The participants of the course write concurrent programs using threads, conditional variables and semaphores. Students can describe the variants of realizing a file system. Students explain at least three different scheduling algorithms.

Skills

Students are able to use the POSIX libraries for concurrent programming in a correct and efficient way. They are able to judge the efficiency of a scheduling algorithm for a given scheduling task in a given environment.

Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Computer Science: Elective Compulsory
Computer Science: Specialisation I. Computer and Software Engineering: Elective Compulsory
Computer Science in Engineering: Specialisation I. Computer Science: Elective Compulsory
Technomathematics: Specialisation II. Informatics: Elective Compulsory
Course L1153: Operating Systems
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Volker Turau
Language DE
Cycle SoSe
Content
  • Architectures for Operating Systems
  • Processes
  • Concurrency
  • Deadlocks
  • Memory organization
  • Scheduling
  • File systems
Literature
  1. Operating Systems, William Stallings, Pearson International Edition
  2. Moderne Betriebssysteme, Andrew Tanenbaum, Pearson Studium


Course L1154: Operating Systems
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Volker Turau
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0732: Software Engineering

Courses
Title Typ Hrs/wk CP
Software Engineering (L0627) Lecture 2 3
Software Engineering (L0628) Recitation Section (small) 2 3
Module Responsible Prof. Sibylle Schupp
Admission Requirements None
Recommended Previous Knowledge
  • Automata theory and formal languages
  • Procedural programming or Functional programming
  • Object-oriented programming, algorithms, and data structures
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students explain the phases of the software life cycle, describe the fundamental terminology and concepts of software engineering, and paraphrase the principles of structured software development. They give examples of software-engineering tasks of existing large-scale systems. They write test cases for different test strategies and devise specifications or models using different notations, and critique both. They explain simple design patterns and the major activities in requirements analysis, maintenance, and project planning.

Skills

For a given task in the software life cycle, students identify the corresponding phase and select an appropriate method. They choose the proper approach for quality assurance. They design tests for realistic systems, assess the quality of the tests, and find errors at different levels. They apply and modify non-executable artifacts. They integrate components based on interface specifications.

Personal Competence
Social Competence

Students practice peer programming. They explain problems and solutions to their peer. They communicate in English. 

Autonomy

Using on-line quizzes and accompanying material for self study, students can assess their level of knowledge continuously and adjust it appropriately.  Working on exercise problems, they receive additional feedback.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes 15 % Excercises
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Computer Science: Elective Compulsory
Computer Science: Core Qualification: Compulsory
Data Science: Specialisation I. Mathematics/Computer Science: Elective Compulsory
Computer Science in Engineering: Specialisation I. Computer Science: Elective Compulsory
Technomathematics: Specialisation II. Informatics: Elective Compulsory
Course L0627: Software Engineering
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sibylle Schupp
Language EN
Cycle SoSe
Content


  • Model-based software engineering
    • Information modeling (use case diagrams)
    • Behavioral modeling (finite state machines, Petri Nets, behavioral UML diagrams)
    • Structural modeling (OOA, UML class diagrams, OCL)
    • Model-based testing
  • Engineering software products
    • Agile processes
    • Architecture
    • Code-based testing
    • System-level testing
  • Software management
    • Maintenance
    •  Project management
    • Software processes
Literature

Ian Sommerville, Engineering Software Products: An Introduction to Modern Software Engineering, Pearson 2020.

Kassem A. Saleh, Software Engineering, J. Ross Publishing 2009.

Course L0628: Software Engineering
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sibylle Schupp
Language EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1269: Lab Cyber-Physical Systems

Courses
Title Typ Hrs/wk CP
Lab Cyber-Physical Systems (L1740) Project-/problem-based Learning 4 6
Module Responsible Prof. Heiko Falk
Admission Requirements None
Recommended Previous Knowledge Module "Embedded Systems"
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Cyber-Physical Systems (CPS) are tightly integrated with their surrounding environment, via sensors, A/D and D/A converters, and actors. Due to their particular application areas, highly specialized sensors, processors and actors are common. Accordingly, there is a large variety of different specification approaches for CPS - in contrast to classical software engineering approaches.

Based on practical experiments using robot kits and computers, the basics of specification and modelling of CPS are taught. The lab introduces into the area (basic notions, characteristical properties) and their specification techniques (models of computation, hierarchical automata, data flow models, petri nets, imperative approaches). Since CPS frequently perform control tasks, the lab's experiments will base on simple control applications. The experiments will use state-of-the-art industrial specification tools (MATLAB/Simulink, LabVIEW, NXC) in order to model cyber-physical models that interact with the environment via sensors and actors.


Skills After successful attendance of the lab, students are able to develop simple CPS. They understand the interdependencies between a CPS and its surrounding processes which stem from the fact that a CPS interacts with the environment via sensors, A/D converters, digital processors, D/A converters and actors. The lab enables students to compare modelling approaches, to evaluate their advantages and limitations, and to decide which technique to use for a concrete task. They will be able to apply these techniques to practical problems. They obtain first experiences in hardware-related software development, in industry-relevant specification tools and in the area of simple control applications.
Personal Competence
Social Competence

Students are able to solve similar problems alone or in a group and to present the results accordingly.

Autonomy

Students are able to acquire new knowledge from specific literature and to associate this knowledge with other classes.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written elaboration
Examination duration and scale Execution and documentation of all lab experiments
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Computer Science: Elective Compulsory
Computer Science: Specialisation II. Mathematics and Engineering Science: Elective Compulsory
Computer Science in Engineering: Specialisation II. Mathematics & Engineering Science: Elective Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Mechatronics: Specialisation System Design: Elective Compulsory
Mechatronics: Technical Complementary Course: Elective Compulsory
Course L1740: Lab Cyber-Physical Systems
Typ Project-/problem-based Learning
Hrs/wk 4
CP 6
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Lecturer Prof. Heiko Falk
Language DE/EN
Cycle SoSe
Content
  • Experiment 1: Programming in NXC
  • Experiment 2: Programming the Robot in Matlab/Simulink
  • Experiment 3: Programming the Robot in LabVIEW
Literature
  • Peter Marwedel. Embedded System Design - Embedded System Foundations of Cyber-Physical Systems. 2nd Edition, Springer, 2012.
  • Begleitende Foliensätze

Specialization Mechanical Engineering

The educational goal of this Bachelor’s program is to develop the skills to select and link fundamental methods and procedures in order to solve technical problems in the field of General Engineering science, especially in the selected subject area of specialisation.
Graduates have:

1) Sound knowledge in the subject areas mathematics, thermodynamics, mechanics, electrical Engineering and computer science.

2) A basic knowledge in the field of measurement and control engineering, fluid mechanics and materials science.

3) In-depth knowledge in Engineering applications, especially in the selected subject area of specialisation (product development and manufacturing, material science, aircrafts, energy Engineering, mechatronics, medical engineering, theoretical mechanical engineering). They have in particular the necessary methodological knowledge and its application to engineering problems, taking into account technical specifications and economic and social parameters.
4) The ability to work scientifically and to expand their specialized knowledge independently.
Graduates are able to work responsibly and competently as mechanical engineers, especially in occupations related to the selected subject area of specialisation.

Module M0598: Mechanical Engineering: Design

Courses
Title Typ Hrs/wk CP
Embodiment Design and 3D-CAD Introduction and Practical Training (L0268) Lecture 2 1
Mechanical Design Project I (L0695) Project-/problem-based Learning 3 2
Mechanical Design Project II (L0592) Project-/problem-based Learning 3 2
Team Project Design Methodology (L0267) Project-/problem-based Learning 2 1
Module Responsible Prof. Dieter Krause
Admission Requirements None
Recommended Previous Knowledge
  • Fundamentals of Mechanical Engineering Design
  • Mechanics
  • Fundamentals of Materials Science
  • Production Engineering
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

After passing the module, students are able to:

  • explain design guidelines for machinery parts e.g. considering load situation, materials and manufacturing requirements,
  • describe basics of 3D CAD,
  • explain basics methods of engineering designing.
Skills

After passing the module, students are able to:

  • independently create sketches, technical drawings and documentations e.g. using 3D CAD,
  • design components based on design guidelines autonomously,
  • dimension (calculate) used components,
  • use methods to design and solve engineering design tasks systamtically and solution-oriented,
  • apply creativity techniques in teams.
Personal Competence
Social Competence

After passing the module, students are able to:

  • develop and evaluate solutions in groups including making and documenting decisions,
  • moderate the use of scientific methods,
  • present and discuss solutions and technical drawings within groups,
  • reflect the own results in the work groups of the course.
Autonomy

Students are able

  •  to estimate their level of knowledge using  activating methods within the lectures (e.g. with clickers),
  • To solve engineering design tasks systematically.
Workload in Hours Independent Study Time 40, Study Time in Lecture 140
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes None Written elaboration Teamprojekt Konstruktionsmethodik
Yes None Written elaboration Konstruktionsprojekt 1
Yes None Written elaboration Konstruktionsprojekt 2
Yes None Written elaboration 3D-CAD-Praktikum
Examination Written exam
Examination duration and scale 180
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
Digital Mechanical Engineering: Core Qualification: Compulsory
Engineering Science: Specialisation Mechatronics: Compulsory
Engineering Science: Specialisation Mechanical Engineering: Compulsory
Engineering Science: Specialisation Biomedical Engineering: Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Naval Architecture: Core Qualification: Compulsory
Course L0268: Embodiment Design and 3D-CAD Introduction and Practical Training
Typ Lecture
Hrs/wk 2
CP 1
Workload in Hours Independent Study Time 2, Study Time in Lecture 28
Lecturer Prof. Dieter Krause
Language DE
Cycle WiSe
Content
  • Basics of 3D CAD technology
  • Practical course to apply a 3D CAD system
    • Introduction to the system
    • Sketching and creation of components
    • Creation of assemblies
    • Deriving technical drawings
Literature
  • CAx für Ingenieure eine praxisbezogene Einführung; Vajna, S., Weber, C., Bley, H., Zeman, K.; Springer-Verlag, aktuelle Auflage.
  • Handbuch Konstruktion; Rieg, F., Steinhilper, R.; Hanser; aktuelle Auflage.
  • Dubbel, Taschenbuch für den Maschinenbau; Grote, K.-H., Feldhusen, J.(Hrsg.); Springer-Verlag, aktuelle Auflage.
  • Technisches Zeichnen: Grundlagen, Normen, Beispiele, Darstellende Geometrie, Hoischen, H; Hesser, W; Cornelsen, aktuelle Auflage.
  • Maschinenelemente, Band I-III; Niemann, G., Springer-Verlag, aktuelle Auflage.
  • Maschinen- und Konstruktionselemente; Steinhilper, W., Röper, R., Springer Verlag, aktuelle Auflage.
  • Konstruktionslehre, Pahl, G.; Beitz, W., Springer-Verlag, aktuelle Auflage.
  • Maschinenelemente 1-2; Schlecht, B., Pearson Verlag, aktuelle Auflage.
  • Maschinenelemente - Gestaltung, Berechnung, Anwendung; Haberhauer, H., Bodenstein, F., Springer-Verlag, aktuelle Auflage.
  • Roloff/Matek Maschinenelemente; Wittel, H., Muhs, D., Jannasch, D., Voßiek, J., Springer Vieweg, aktuelle Auflage.
Course L0695: Mechanical Design Project I
Typ Project-/problem-based Learning
Hrs/wk 3
CP 2
Workload in Hours Independent Study Time 18, Study Time in Lecture 42
Lecturer Prof. Thorsten Schüppstuhl
Language DE
Cycle WiSe
Content
  • Create a technical documentation of an existing mechanical model
  • Consolidation of the following aspects of technical drawings:
    • Presentation of technical objects and standardized parts
      (bearings, seals, shaft-hub joints, detachable connections, springs, axes and shafts)
    • Sectional views
    • Dimensioning
    • Tolerances and surface specifications
    • Creating a tally sheet


Literature
  1. Hoischen, H.; Hesser, W.: Technisches Zeichnen. Grundlagen, Normen, Beispiele, darstellende Geometrie, 33. Auflage. Berlin 2011.
  2. Labisch, S.; Weber, C.: Technisches Zeichnen. Selbstständig lernen und effektiv üben, 4. Auflage. Wiesbaden 2008.
  3. Fischer, U.: Tabellenbuch Metall, 43. Auflage. Haan-Gruiten 2005.


Course L0592: Mechanical Design Project II
Typ Project-/problem-based Learning
Hrs/wk 3
CP 2
Workload in Hours Independent Study Time 18, Study Time in Lecture 42
Lecturer Prof. Wolfgang Hintze
Language DE
Cycle SoSe
Content
  • Generation of sketches for functions and sub-functions
  • Approximately calculation of shafts
  • Dimension of bearings, screw connections and weld
  • Generation of engineering drawings (assembly drawings, manufacturing drawing)
Literature

Dubbel, Taschenbuch für Maschinenbau, Beitz, W., Küttner, K.-H, Springer-Verlag.

Maschinenelemente, Band I - III, Niemann, G., Springer-Verlag.

Maschinen- und Konstruktionselemente, Steinhilper, W., Röper, R., Springer-Verlag.

Einführung in die DIN-Normen, Klein, M., Teubner-Verlag.

Konstruktionslehre, Pahl, G., Beitz, W., Springer-Verlag.

Course L0267: Team Project Design Methodology
Typ Project-/problem-based Learning
Hrs/wk 2
CP 1
Workload in Hours Independent Study Time 2, Study Time in Lecture 28
Lecturer Prof. Dieter Krause
Language DE
Cycle SoSe
Content
  • Introduction to engineering designing methodology
  • Team Project Design Methodology
    • Creating requirement lists
    • Problem formulation
    • Creating functional structures
    • Finding solutions
    • Evaluation of the found concepts
    • Documentation of the taken methodological steps and the concepts using presentation slides
Literature
  • Dubbel, Taschenbuch für den Maschinenbau; Grote, K.-H., Feldhusen, J.(Hrsg.); Springer-Verlag, aktuelle Auflage.
  • Maschinenelemente, Band I-III; Niemann, G., Springer-Verlag, aktuelle Auflage.
  •  Maschinen- und Konstruktionselemente; Steinhilper, W., Röper, R., Springer Verlag, aktuelle Auflage.
  •  Einführung in die DIN-Normen; Klein, M., Teubner-Verlag.
  •  Konstruktionslehre, Pahl, G.; Beitz, W., Springer-Verlag, aktuelle Auflage.
  •  Maschinenelemente 1-2; Schlecht, B., Pearson Verlag, aktuelle Auflage.
  •  Maschinenelemente - Gestaltung, Berechnung, Anwendung; Haberhauer, H., Bodenstein, F., Springer-Verlag, aktuelle Auflage.
  • Roloff/Matek Maschinenelemente; Wittel, H., Muhs, D., Jannasch, D., Voßiek, J., Springer Vieweg, aktuelle Auflage.
  • Sowie weitere Bücher zu speziellen Themen

Module M0597: Advanced Mechanical Engineering Design

Courses
Title Typ Hrs/wk CP
Advanced Mechanical Engineering Design II (L0264) Lecture 2 2
Advanced Mechanical Engineering Design II (L0265) Recitation Section (large) 2 1
Advanced Mechanical Engineering Design I (L0262) Lecture 2 2
Advanced Mechanical Engineering Design I (L0263) Recitation Section (large) 2 1
Module Responsible Prof. Dieter Krause
Admission Requirements None
Recommended Previous Knowledge
  • Fundamentals of Mechanical Engineering Design
  • Mechanics
  • Fundamentals of Materials Science
  • Production Engineering
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

After passing the module, students are able to: 

  • explain complex working principles and functions of machine elements and of basic elements of fluidics,
  • explain requirements, selection criteria, application scenarios and practical examples of complex machine elements,
  • indicate the background of dimensioning calculations.
Skills

After passing the module, students are able to:

  • accomplish dimensioning calculations of covered machine elements,
  • transfer knowledge learned in the module to new requirements and tasks (problem solving skills),
  • recognize the content of technical drawings and schematic sketches,
  • evaluate complex designs, technically.
Personal Competence
Social Competence
  • Students are able to discuss technical information in the lecture supported by activating methods.
Autonomy
  • Students are able to independently deepen their acquired knowledge in exercises.
  • Students are able to acquire additional knowledge and to recapitulate poorly understood content e.g. by using the video recordings of the lectures.
Workload in Hours Independent Study Time 68, Study Time in Lecture 112
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering: Compulsory
Energy and Environmental Engineering: Core Qualification: Elective Compulsory
Energy Systems: Technical Complementary Course Core Studies: Elective Compulsory
Engineering Science: Specialisation Mechanical Engineering: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering: Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Naval Architecture: Core Qualification: Compulsory
Course L0264: Advanced Mechanical Engineering Design II
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Dieter Krause, Prof. Otto von Estorff
Language DE
Cycle SoSe
Content

Advanced Mechanical Engineering Design I & II

Lecture

  • Fundamentals of the following machine elements:
    • Linear rolling bearings
    • Axes & shafts
    • Seals
    • Clutches & brakes
    • Belt & chain drives
    • Gear drives
    • Epicyclic gears
    • Crank drives
    • Sliding bearings
  •  Elements of fluidics

Exercise

  • Calculation methods of the following machine elements:
    • Linear rolling bearings
    • Axes & shafts
    • Clutches & brakes
    • Belt & chain drives
    • Gear drives
    • Epicyclic gears
    • Crank gears
    • Sliding bearings
  •  Calculations of hydrostatic systems (fluidics)
Literature
  • Dubbel, Taschenbuch für den Maschinenbau; Grote, K.-H., Feldhusen, J.(Hrsg.); Springer-Verlag, aktuelle Auflage.
  • Maschinenelemente, Band I-III; Niemann, G., Springer-Verlag, aktuelle Auflage.
  •  Maschinen- und Konstruktionselemente; Steinhilper, W., Röper, R., Springer Verlag, aktuelle Auflage.
  •  Einführung in die DIN-Normen; Klein, M., Teubner-Verlag.
  •  Konstruktionslehre, Pahl, G.; Beitz, W., Springer-Verlag, aktuelle Auflage.
  •  Maschinenelemente 1-2; Schlecht, B., Pearson Verlag, aktuelle Auflage.
  •  Maschinenelemente - Gestaltung, Berechnung, Anwendung; Haberhauer, H., Bodenstein, F., Springer-Verlag, aktuelle Auflage.
  • Roloff/Matek Maschinenelemente; Wittel, H., Muhs, D., Jannasch, D., Voßiek, J., Springer Vieweg, aktuelle Auflage.
Sowie weitere Bücher zu speziellen Themen
Course L0265: Advanced Mechanical Engineering Design II
Typ Recitation Section (large)
Hrs/wk 2
CP 1
Workload in Hours Independent Study Time 2, Study Time in Lecture 28
Lecturer Prof. Dieter Krause, Prof. Otto von Estorff
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L0262: Advanced Mechanical Engineering Design I
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Dieter Krause, Prof. Otto von Estorff
Language DE
Cycle WiSe
Content

Advanced Mechanical Engineering Design I & II

Lecture

  • Fundamentals of the following machine elements:
    • Linear rolling bearings
    • Axes & shafts
    • Seals
    • Clutches & brakes
    • Belt & chain drives
    • Gear drives
    • Epicyclic gears
    • Crank drives
    • Sliding bearings
  •  Elements of fluidics

Exercise

  • Calculation methods of the following machine elements:
    • Linear rolling bearings
    • Axes & shafts
    • Clutches & brakes
    • Belt & chain drives
    • Gear drives
    • Epicyclic gears
    • Crank gears
    • Sliding bearings
  •  Calculations of hydrostatic systems (fluidics)
Literature
  • Dubbel, Taschenbuch für den Maschinenbau; Grote, K.-H., Feldhusen, J.(Hrsg.); Springer-Verlag, aktuelle Auflage.
  • Maschinenelemente, Band I-III; Niemann, G., Springer-Verlag, aktuelle Auflage.
  •  Maschinen- und Konstruktionselemente; Steinhilper, W., Röper, R., Springer Verlag, aktuelle Auflage.
  •  Einführung in die DIN-Normen; Klein, M., Teubner-Verlag.
  •  Konstruktionslehre, Pahl, G.; Beitz, W., Springer-Verlag, aktuelle Auflage.
  •  Maschinenelemente 1-2; Schlecht, B., Pearson Verlag, aktuelle Auflage.
  •  Maschinenelemente - Gestaltung, Berechnung, Anwendung; Haberhauer, H., Bodenstein, F., Springer-Verlag, aktuelle Auflage.
  • Roloff/Matek Maschinenelemente; Wittel, H., Muhs, D., Jannasch, D., Voßiek, J., Springer Vieweg, aktuelle Auflage.
Sowie weitere Bücher zu speziellen Themen
Course L0263: Advanced Mechanical Engineering Design I
Typ Recitation Section (large)
Hrs/wk 2
CP 1
Workload in Hours Independent Study Time 2, Study Time in Lecture 28
Lecturer Prof. Dieter Krause, Prof. Otto von Estorff
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0933: Fundamentals of Materials Science

Courses
Title Typ Hrs/wk CP
Fundamentals of Materials Science I (L1085) Lecture 2 2
Fundamentals of Materials Science II (Advanced Ceramic Materials, Polymers and Composites) (L0506) Lecture 2 2
Physical and Chemical Basics of Materials Science (L1095) Lecture 2 2
Module Responsible Prof. Jörg Weißmüller
Admission Requirements None
Recommended Previous Knowledge

Highschool-level physics, chemistry und mathematics


Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students have acquired a fundamental knowledge on metals, ceramics and polymers and can describe this knowledge comprehensively. Fundamental knowledge here means specifically the issues of atomic structure, microstructure, phase diagrams, phase transformations, corrosion and mechanical properties. The students know about the key aspects of characterization methods for materials and can identify relevant approaches for characterizing specific properties. They are able to trace materials phenomena back to the underlying physical and chemical laws of nature.



Skills

The students are able to trace materials phenomena back to the underlying physical and chemical laws of nature. Materials phenomena here refers to mechanical properties such as strength, ductility, and stiffness, chemical properties such as corrosion resistance, and to phase transformations such as solidification, precipitation, or melting. The students can explain the relation between processing conditions and the materials microstructure, and they can account for the impact of microstructure on the material’s behavior.


Personal Competence
Social Competence -
Autonomy -
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 180 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Naval Architecture: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
Data Science: Specialisation II. Application: Elective Compulsory
Digital Mechanical Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory
Logistics and Mobility: Specialisation Engineering Science: Elective Compulsory
Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Naval Architecture: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory
Course L1085: Fundamentals of Materials Science I
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Jörg Weißmüller
Language DE
Cycle WiSe
Content
Literature

Vorlesungsskript

W.D. Callister: Materials Science and Engineering - An Introduction. 5th ed., John Wiley & Sons, Inc., New York, 2000, ISBN 0-471-32013-7

P. Haasen: Physikalische Metallkunde. Springer 1994


Course L0506: Fundamentals of Materials Science II (Advanced Ceramic Materials, Polymers and Composites)
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Bodo Fiedler, Prof. Gerold Schneider
Language DE
Cycle SoSe
Content Chemische Bindungen und Aufbau von Festkörpern; Kristallaufbau; Werkstoffprüfung; Schweißbarkeit; Herstellung von Keramiken; Aufbau und Eigenschaften der Keramik; Herstellung, Aufbau und Eigenschaften von Gläsern; Polymerwerkstoffe, Makromolekularer Aufbau; Struktur und Eigenschaften der Polymere; Polymerverarbeitung; Verbundwerkstoffe     
Literature

Vorlesungsskript

W.D. Callister: Materials Science and Engineering -An Introduction-5th ed., John Wiley & Sons, Inc., New York, 2000, ISBN 0-471-32013-7

Course L1095: Physical and Chemical Basics of Materials Science
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Gregor Vonbun-Feldbauer
Language DE
Cycle WiSe
Content
  • Motivation: „Atoms in Mechanical Engineering?“
  • Basics: Force and Energy
  • The electromagnetic Interaction
  • „Detour“: Mathematics (complex e-funktion etc.)
  • The atom: Bohr's model of the atom
  • Chemical bounds
  • The multi part problem: Solutions and strategies
  • Descriptions of using statistical thermodynamics
  • Elastic theory of atoms
  • Consequences of atomar properties on makroskopic Properties: Discussion of examples (metals, semiconductors, hybrid systems)
Literature

Für den Elektromagnetismus:

  • Bergmann-Schäfer: „Lehrbuch der Experimentalphysik“, Band 2: „Elektromagnetismus“, de Gruyter

Für die Atomphysik:

  • Haken, Wolf: „Atom- und Quantenphysik“, Springer

Für die Materialphysik und Elastizität:

  • Hornbogen, Warlimont: „Metallkunde“, Springer


Module M0680: Fluid Dynamics

Courses
Title Typ Hrs/wk CP
Fluid Mechanics (L0454) Lecture 3 4
Fluid Mechanics (L0455) Recitation Section (large) 2 2
Module Responsible Prof. Thomas Rung
Admission Requirements None
Recommended Previous Knowledge

Students should have sound knowledge of engineering mathematics, engineering mechanics and thermodynamics.

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students will have the required sound knowledge to explain the general principles of fluid engineering and physics of fluids. They are familiar with the similarities and differences between fluid mechanics and neighbouring subjects (thermodynamics, structural mechanics). Students can scientifically outline the rationale of flow physics using mathematical models. They are familiar with most performance analysis methods -in particular their realms and limitations- and the prediction of fluid engineering devices.

Skills

Students are able to apply fluid-engineering principles and flow-physics models for the analysis of technical systems. They are able to explain physical relationships used to design fluid engineering devices. The lecture enables the student to carry out all necessary theoretical calculations for the fluid dynamic design of engineering devices on a scientific level.

Personal Competence
Social Competence

The students are able to discuss problems, present the results of their own analysis, and jointly develop solution strategies that address given technical goals.


Autonomy

The students are able to develop solution strategies for complex problems self-consistent. They are able to critically analyse own results as well as external data with regards to the plausibility and reliability.


Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 180 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Naval Architecture: Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Naval Architecture: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0454: Fluid Mechanics
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Thomas Rung
Language DE/EN
Cycle SoSe
Content
  • continuum physics definition of fluids, difference to solids/structures and material properties of fluids
  • dimensional analysis and similitude
  • fluid forces and fluid statics
  • transport and conservation of mass, momentum & energy 
  • fluid kinematics
  • technically relevant flow models for incompressible fluids
    • control volume & stream tube analysis
    • vortical flow models
    • potential flows
    • boundary layer flows
    • different types of conservation equations and their realm
      (Navier-Stokes/Euler/Bernoulli equations)
    • analytical solutions for Navier-Stokes systems
  • Analysis of internal flows (channels, pipes, open channels) and external flows, fundamentals of wing aerodynamics
  • turbulent flows
  • fundamentals of gas dynamics (1D compressible flows)
Literature
  • the course primarily refers to / das Modul stütz sich bevorzugt auf :
    Munson, B.R.; Rothmayer, A.P.; Okiishi, T.H.; Huebsch, W.W.: Fundamentals of Fluid Mechanics, John Wiley & Sons.

  • Spurk, J.; Aksel, N.: Strömungslehre, Springer.
  • Schade, H.; Kunz, E., Kameier, F.; Paschereit, C.O.: Strömungslehere, De Gruyter.
  • Herwig, H.: Strömungsmechanik, Springer.
  • Herwig, H.: Strömungsmechanik von A-Z, Vieweg.

Course L0455: Fluid Mechanics
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Thomas Rung
Language DE/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1805: Computational Mechanics

Courses
Title Typ Hrs/wk CP
Computational Mechanics (Exercises) (L1138) Recitation Section (small) 2 2
Computational Multibody Dynamics (L1137) Integrated Lecture 2 2
Computational Stuctural Mechanics (L2475) Integrated Lecture 2 2
Module Responsible Prof. Robert Seifried
Admission Requirements None
Recommended Previous Knowledge

Mathematics I-III and Engineering Mechanics I-III

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students can

  • describe the axiomatic procedure used in mechanical contexts;
  • explain important steps in model design;
  • present technical knowledge.
Skills

The students can

  • explain the important elements of mathematical / mechanical analysis and model formation, and apply it to the context of their own problems;
  • apply basic methods from numerical mechanics to engineering problems;
  • estimate the reach and boundaries of the methods and extend them to be applicable to wider problem sets.
Personal Competence
Social Competence

The students can work in groups and support each other to overcome difficulties.

Autonomy

Students are capable of determining their own strengths and weaknesses and to organize their time and learning based on those.

Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Naval Architecture: Compulsory
Energy Systems: Technical Complementary Course Core Studies: Elective Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Naval Architecture: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course Core Studies: Elective Compulsory
Course L1138: Computational Mechanics (Exercises)
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Robert Seifried, Prof. Christian Cyron
Language DE
Cycle SoSe
Content
Literature K. Magnus, H.H. Müller-Slany: Grundlagen der Technischen Mechanik. 7. Auflage, Teubner (2009).
D. Gross, W. Hauger, J. Schröder, W. Wall: Technische Mechanik 1-4. 11. Auflage, Springer (2011).
Course L1137: Computational Multibody Dynamics
Typ Integrated Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Robert Seifried
Language DE
Cycle SoSe
Content
  • Linear versus nonlinear vibration
  • Numerical methods for time integration
  • Concepts from analytical mechanics
  • Spatial multibody systems
  • Linearization of multibody systems
  • Vibrations with multiple degrees of freedom: free, damped, forced, modal  transformation
  • Impacts
  • Introduction to Matlab
Literature

K. Magnus, H.H. Müller-Slany: Grundlagen der Technischen Mechanik. 7. Auflage, Teubner (2009). 
D. Gross, W. Hauger, J. Schröder, W. Wall: Technische Mechanik 1-4. 11. Auflage, Springer (2011).

W. Schiehlen, P. Eberhard: Technische Dynamik, Springer (2012).


Course L2475: Computational Stuctural Mechanics
Typ Integrated Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Christian Cyron
Language DE
Cycle SoSe
Content

The lecture Computational Structural Mechanics extends the content of the lecture Engineering Mechanic II. It bridges the gap between the manual calculation of mechanical stress and deformation in systems with a particularly simple geometry and the efficent computer-based computation of general mechanical systems:

  • Basics of linear continuum mechanics
  • Planar structures: plate, membrane, slab
  • Linientragwerke: beam, cable, truss
  • Weak form and Galerkin's method
  • Finite element method: theory and application
  • Principles of mechanics: principle of virtual work, virtual displacements, virtual forces
Literature Gross, Hauger, Wriggers, "Technische Mechanik 4", Springer

Module M0956: Measurement Technology for Mechanical Engineers

Courses
Title Typ Hrs/wk CP
Practical Course: Measurement and Control Systems (L1119) Practical Course 2 2
Measurement Technology for Mechanical Engineering (L1116) Lecture 2 3
Measurement Technology for Mechanical Engineering (L1118) Recitation Section (large) 1 1
Module Responsible Prof. Thorsten Kern
Admission Requirements None
Recommended Previous Knowledge

Basic knowledge of physics, chemistry and electrical engineering

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to name the most important fundmentals of the Measurement Technology (Quantities and Units, Uncertainty, Calibration,  Static and Dynamic Properties of Sensors and Systems).

They can outline the most important measuring methods for different kinds of quantities to be maesured (Electrical Quantities, Temperature, mechanical quantities,  Flow, Time, Frequency).

They can describe important methods of chemical Analysis (Gas Sensors, Spectroscopy, Gas Chromatography)


Skills

Students can select suitable measuring methods to given problems and can use refering measurement devices in practice.

The students are able to orally explain issues in the subject area of measurement technology and solution approaches as well as place the issues into the right context and application area.

Personal Competence
Social Competence

Students can arrive at work results in groups and document them in a common report.


Autonomy

Students are able to familiarize themselves with new measurement technologies.

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes None Subject theoretical and practical work
Examination Subject theoretical and practical work
Examination duration and scale 105 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Elective Compulsory
Digital Mechanical Engineering: Core Qualification: Compulsory
Energy and Environmental Engineering: Core Qualification: Compulsory
Engineering Science: Specialisation Mechatronics: Compulsory
Engineering Science: Specialisation Mechanical Engineering: Compulsory
Engineering Science: Specialisation Biomedical Engineering: Elective Compulsory
Engineering Science: Specialisation Advanced Materials: Elective Compulsory
General Engineering Science (English program, 7 semester): Specialisation Mechatronics: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Elective Compulsory
Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory
Course L1119: Practical Course: Measurement and Control Systems
Typ Practical Course
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Thorsten Kern
Language DE
Cycle WiSe/SoSe
Content

Experiment 1: Emission and immission measurement of gaseous pollutants: different technologies to determine different gaseous pollutants in automotive exhaust are used.

Experiment 2: Simulation and measurement of asynchrone engine and rotary pump: the dynamic behaviour of e pump engine will be investigated. The starting will be simulated on a PC and compared with measurement.

Experiment 3: Michelson interferometer and fiber optic: fundamental optical phenonema will be understood and applications with Michelson interferometer and optical fibers demonstrated.

Experiment 4:Identification of the parameters of a control system and optimal control parameters

Literature

Versuch 1:

  • Leith, W.: Die Analyse der Luft und ihrer Verunreinigung in der freien Atmosphäre und am Arbeitsplatz. 2. Aufl., Wissenschaftliche Verlagsgesellschaft, Stuttgart, 1974
  • Birkle, M.: Meßtechnik für den Immissionsschutz, Messen der gas- und partikelförmigen Luftverunreinigungen. R. Oldenburg Verlag, München-Wien, 1979
  • Luftbericht 83/84, Freie und Hansestadt Hamburg, Behörde für Bezirksangelegenheiten, Naturschutz und Umweltgestaltung
  • Gebrauchs- und Bedienungsanweisungen
  • VDI-Handbuch Reinhaltung der Luft, Band 5: VDI-Richtlinien 2450 Bl.1, 2451 Bl.4, 2453 Bl.5, 2455 Bl.1
Versuch 2:
  • Grundlagen über elektrische Maschinen, speziell: Asynchronmotoren
  • Simulationsmethoden, speziell: Verwendung von Blockschaltbildern
  • Betriebsverhalten von Kreispumpen, speziell: Kennlinien, Ähnlichkeitsgesetze
Versuch 3:
  • Unger, H.-G.: Optische Nachrichtentechnik, Teil 1: Optische Wellenleiter. Hüthing Verlag, Heidelberg, 1984
  • Dakin, J., Cushaw, B.: Optical Fibre Sensors: Principles and Components. Artech House Boston, 1988
  • Culshaw, B., Dakin, J.: Optical Fibre Sensors: Systems and Application. Artech House Boston, 1989
Versuch 4: 
  • Leonhard: Einführung in die Regelungstechnik. Vieweg Verlag, Braunschweig-Wiesbaden
  • Jan Lunze: Systemtheoretische Grundlagen, Analyse und Entwurf einschleifiger Regelungen



Course L1116: Measurement Technology for Mechanical Engineering
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Thorsten Kern, Dennis Kähler
Language EN
Cycle WiSe
Content

1 Fundamentals

1.1 Quantities and Units

1.2 Uncertainty

1.3 Calibration

1.4 Static and Dynamic Properties of Sensors and Systems

2 Measurement of Electrical Quantities

2.1 Current and Voltage

2.2 Impedance

2.3 Amplification

2.4 Oscilloscope

2.5 Analog-to-Digital Conversion

2.6 Data Transmission

3 Measurement of Nonelectric Quantities

3.1 Temperature

3.2 Length, Displacement, Angle

3.3 Strain, Force, Pressure

3.4 Flow

3.5 Time, Frequency

Literature

Lerch, R.: „Elektrische Messtechnik; Analoge, digitale und computergestützte Verfahren“, Springer, 2006, ISBN: 978-3-540-34055-3.

 Profos, P. Pfeifer, T.: „Handbuch der industriellen Messtechnik“, Oldenbourg, 2002, ISBN: 978-3486217940.

Course L1118: Measurement Technology for Mechanical Engineering
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Thorsten Kern
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Focus Biomechanics

Students with the emphasis Biomechanics get in addition to their core engineering skills, a basic understanding of the medical field focusing on fracture healing and implants.  This enables them to understand operational planning as well as research and development in this highly interdisciplinary area.

Module M1277: MED I: Introduction to Anatomy

Courses
Title Typ Hrs/wk CP
Introduction to Anatomy (L0384) Lecture 2 3
Module Responsible Prof. Udo Schumacher
Admission Requirements None
Recommended Previous Knowledge

Students can listen to the lectures without any prior knowledge. Basic school knowledge of biology, chemistry / biochemistry, physics and Latin can be useful.

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The lectures are about microscopic anatomy, describing the microscopic structure of tissues and organs, and about macroscopic anatomy which is about organs and organ systems. The lectures also contain an introduction to cell biology, human development and to the central nervous system. The fundamentals of radiologic imaging are described as well, using projectional x-ray and cross-sectional images. The Latin terms are introduced.

Skills

At the end of the lecture series the students are able to describe the microscopic as well as the macroscopic assembly and functions of the human body. The Latin terms are the prerequisite to understand medical literature. This knowledge is needed to understand und further develop medical devices.

These insights in human anatomy are the fundamentals to explain the role of structure and function for the development of common diseases and their impact on the human body.


Personal Competence
Social Competence

The students can participate in current discussions in biomedical research and medicine on a professional level. The Latin terms are prerequisite for communication with physicians on a professional level.


Autonomy

The lectures are an introduction to the basics of anatomy and should encourage students to improve their knowledge by themselves. Advice is given as to which further literature is suitable for this purpose. Likewise, the lecture series encourages students to recognize and think critically about biomedical problems.


Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Credit points 3
Course achievement None
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
Data Science: Specialisation II. Application: Elective Compulsory
Electrical Engineering: Specialisation Medical Technology: Elective Compulsory
Engineering Science: Specialisation Biomedical Engineering: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Compulsory
Mechanical Engineering: Specialisation Biomechanics: Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0384: Introduction to Anatomy
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Tobias Lange
Language DE
Cycle SoSe
Content

General Anatomy

1st week:             The Eucaryote Cell

2nd week:             The Tissues

3rd week:             Cell Cycle, Basics in Development

4th week:             Musculoskeletal System

5th week:             Cardiovascular System

6th week:             Respiratory System   

7th week:             Genito-urinary System

8th week:             Immune system

9th week:             Digestive System I

10th week:           Digestive System II

11th week:           Endocrine System

12th week:           Nervous System

13th week:           Exam



Literature

Adolf Faller/Michael Schünke, Der Körper des Menschen, 17. Auflage, Thieme Verlag Stuttgart, 2016

Module M1278: MED I: Introduction to Radiology and Radiation Therapy

Courses
Title Typ Hrs/wk CP
Introduction to Radiology and Radiation Therapy (L0383) Lecture 2 3
Module Responsible Prof. Ulrich Carl
Admission Requirements None
Recommended Previous Knowledge None
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge Therapy

The students can distinguish different types of currently used equipment with respect to its use in radiation therapy.

The students can explain treatment plans used in radiation therapy in interdisciplinary contexts (e.g. surgery, internal medicine).

The students can describe the patients' passage from their initial admittance through to follow-up care.

Diagnostics

The students can illustrate the technical base concepts of projection radiography, including angiography and mammography, as well as sectional imaging techniques (CT, MRT, US).

The students can explain the diagnostic as well as therapeutic use of imaging techniques, as well as the technical basis for those techniques.

The students can choose the right treatment method depending on the patient's clinical history and needs.

The student can explain the influence of technical errors on the imaging techniques.

The student can draw the right conclusions based on the images' diagnostic findings or the error protocol.

Skills Therapy

The students can distinguish curative and palliative situations and motivate why they came to that conclusion.

The students can develop adequate therapy concepts and relate it to the radiation biological aspects.

The students can use the therapeutic principle (effects vs adverse effects)

The students can distinguish different kinds of radiation, can choose the best one depending on the situation (location of the tumor) and choose the energy needed in that situation (irradiation planning).

The student can assess what an individual psychosocial service should look like (e.g. follow-up treatment, sports, social help groups, self-help groups, social services, psycho-oncology).

Diagnostics

The students can suggest solutions for repairs of imaging instrumentation after having done error analyses.

The students can classify results of imaging techniques according to different groups of diseases based on their knowledge of anatomy, pathology and pathophysiology.

Personal Competence
Social Competence The students can assess the special social situation of tumor patients and interact with them in a professional way.

The students are aware of the special, often fear-dominated behavior of sick people caused by diagnostic and therapeutic measures and can meet them appropriately.

Autonomy The students can apply their new knowledge and skills to a concrete therapy case.

The students can introduce younger students to the clinical daily routine.

The students are able to access anatomical knowledge by themselves, can participate competently in conversations on the topic and acquire the relevant knowledge themselves.

Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Credit points 3
Course achievement None
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
Data Science: Specialisation II. Application: Elective Compulsory
Electrical Engineering: Specialisation Medical Technology: Elective Compulsory
Engineering Science: Specialisation Biomedical Engineering: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Compulsory
Mechanical Engineering: Specialisation Biomechanics: Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0383: Introduction to Radiology and Radiation Therapy
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Ulrich Carl, Prof. Thomas Vestring
Language DE
Cycle SoSe
Content

The students will be given an understanding of the technological possibilities in the field of medical imaging, interventional radiology and radiation therapy/radiation oncology. It is assumed, that students in the beginning of the course have heard the word “X-ray” at best. It will be distinguished between the two arms of diagnostic (Prof. Dr. med. Thomas Vestring) and therapeutic (Prof. Dr. med. Ulrich Carl) use of X-rays. Both arms depend on special big units, which determine a predefined sequence in their respective departments



Literature
  • "Technik der medizinischen Radiologie"  von T. + J. Laubenberg –

    7. Auflage – Deutscher Ärzteverlag –  erschienen 1999

  • "Klinische Strahlenbiologie" von Th. Herrmann, M. Baumann und W. Dörr –

    4. Auflage - Verlag Urban & Fischer –  erschienen 02.03.2006

    ISBN: 978-3-437-23960-1

  • "Strahlentherapie und Onkologie für MTA-R" von R. Sauer –

             5. Auflage 2003 - Verlag Urban & Schwarzenberg – erschienen 08.12.2009

             ISBN: 978-3-437-47501-6

  • "Taschenatlas der Physiologie" von S. Silbernagel und A. Despopoulus‑                

    8. Auflage – Georg Thieme Verlag - erschienen 19.09.2012

    ISBN: 978-3-13-567708-8

  • "Der Körper des Menschen " von A. Faller  u. M. Schünke -

    16. Auflage 2004 – Georg Thieme Verlag –  erschienen 18.07.2012

    ISBN: 978-3-13-329716-5

  • „Praxismanual Strahlentherapie“ von Stöver / Feyer –

    1. Auflage - Springer-Verlag GmbH –  erschienen 02.06.2000



Module M0662: Numerical Mathematics I

Courses
Title Typ Hrs/wk CP
Numerical Mathematics I (L0417) Lecture 2 3
Numerical Mathematics I (L0418) Recitation Section (small) 2 3
Module Responsible Prof. Sabine Le Borne
Admission Requirements None
Recommended Previous Knowledge
  • Mathematik I + II for Engineering Students (german or english) or Analysis & Linear Algebra I + II for Technomathematicians
  • basic MATLAB/Python knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to

  • name numerical methods for interpolation, integration, least squares problems, eigenvalue problems, nonlinear root finding problems and to explain their core ideas,
  • repeat convergence statements for the numerical methods,
  • explain aspects for the practical execution of numerical methods with respect to computational and storage complexitx.


Skills

Students are able to

  • implement, apply and compare numerical methods using MATLAB/Python,
  • justify the convergence behaviour of numerical methods with respect to the problem and solution algorithm,
  • select and execute a suitable solution approach for a given problem.
Personal Competence
Social Competence

Students are able to

  • work together in heterogeneously composed teams (i.e., teams from different study programs and background knowledge), explain theoretical foundations and support each other with practical aspects regarding the implementation of algorithms.
Autonomy

Students are capable

  • to assess whether the supporting theoretical and practical excercises are better solved individually or in a team,
  • to assess their individual progess and, if necessary, to ask questions and seek help.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Computer Science: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Materials in Engineering Sciences: Compulsory
Bioprocess Engineering: Specialisation A - General Bioprocess Engineering: Elective Compulsory
Computer Science: Specialisation II. Mathematics and Engineering Science: Elective Compulsory
Data Science: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Elective Compulsory
Engineering Science: Core Qualification: Compulsory
Engineering Science: Core Qualification: Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Mechanical Engineering: Specialisation Theoretical Mechanical Engineering: Compulsory
Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course Core Studies: Elective Compulsory
Process Engineering: Specialisation Process Engineering: Elective Compulsory
Course L0417: Numerical Mathematics I
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sabine Le Borne
Language EN
Cycle WiSe
Content
  1. Finite precision arithmetic, error analysis, conditioning and stability
  2. Linear systems of equations: LU and Cholesky factorization, condition
  3. Interpolation: polynomial, spline and trigonometric interpolation
  4. Nonlinear equations: fixed point iteration, root finding algorithms, Newton's method
  5. Linear and nonlinear least squares problems: normal equations, Gram Schmidt and Householder orthogonalization, singular value decomposition, regularizatio, Gauss-Newton and Levenberg-Marquardt methods
  6. Eigenvalue problems: power iteration, inverse iteration, QR algorithm
  7. Numerical differentiation
  8. Numerical integration: Newton-Cotes rules, error estimates, Gauss quadrature, adaptive quadrature
Literature
  • Gander/Gander/Kwok: Scientific Computing: An introduction using Maple and MATLAB, Springer (2014)
  • Stoer/Bulirsch: Numerische Mathematik 1, Springer
  • Dahmen, Reusken: Numerik für Ingenieure und Naturwissenschaftler, Springer


Course L0418: Numerical Mathematics I
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sabine Le Borne, Dr. Jens-Peter Zemke
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1279: MED II: Introduction to Biochemistry and Molecular Biology

Courses
Title Typ Hrs/wk CP
Introduction to Biochemistry and Molecular Biology (L0386) Lecture 2 3
Module Responsible Prof. Hans-Jürgen Kreienkamp
Admission Requirements None
Recommended Previous Knowledge None
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge The students can
  • describe basic biomolecules;
  • explain how genetic information is coded in the DNA;
  • explain the connection between DNA and proteins;
Skills The students can
  • recognize the importance of molecular parameters for the course of a disease;
  • describe selected molecular-diagnostic procedures;
  • explain the relevance of these procedures for some diseases
Personal Competence
Social Competence

The students can participate in discussions in research and medicine on a technical level.

Students will have an improved understanding of current medical problems (e.g. Corona pandemic)and will be able to explain these issues to others.


Autonomy

The students can develop an understanding of topics from the course, using technical literature, by themselves.

Students will be better equipped to recognize fake news in the media regarding medical research topics. 


Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Credit points 3
Course achievement None
Examination Written exam
Examination duration and scale 60 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
Electrical Engineering: Specialisation Medical Technology: Elective Compulsory
Engineering Science: Specialisation Biomedical Engineering: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Compulsory
Mechanical Engineering: Specialisation Biomechanics: Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0386: Introduction to Biochemistry and Molecular Biology
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Hans-Jürgen Kreienkamp
Language DE
Cycle WiSe
Content
Literature

Müller-Esterl, Biochemie, Spektrum Verlag, 2010; 2. Auflage

Löffler, Basiswissen Biochemie, 7. Auflage, Springer, 2008




Module M1333: BIO I: Implants and Fracture Healing

Courses
Title Typ Hrs/wk CP
Implants and Fracture Healing (L0376) Lecture 2 3
Module Responsible Prof. Michael Morlock
Admission Requirements None
Recommended Previous Knowledge

It is recommended to participate in "Introduction into Anatomie" before attending "Implants and Fracture Healing".

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge The students can describe the different ways how bones heal, and the requirements for their existence.

The students can name different treatments for the spine and hollow bones under given fracture morphologies.

Skills

The students can determine the forces acting within the human body under quasi-static situations under specific assumptions.

Personal Competence
Social Competence

The students can, in groups, solve basic numerical modeling tasks for the calculation of internal forces.

Autonomy

The students can, in groups, solve basic numerical modeling tasks for the calculation of internal forces.

Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Credit points 3
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
Engineering Science: Specialisation Biomedical Engineering: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Compulsory
Mechanical Engineering: Specialisation Biomechanics: Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Orientation Studies: Core Qualification: Elective Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0376: Implants and Fracture Healing
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Michael Morlock
Language DE
Cycle WiSe
Content

Topics to be covered include:

1.    Introduction (history, definitions, background importance)

2.    Bone (anatomy, properties, biology, adaptations in femur, tibia, humerus, radius)

3.    Spine (anatomy, biomechanics, function, vertebral bodies, intervertebral disc, ligaments)

3.1  The spine in its entirety

3.2  Cervical spine

3.3  Thoracic spine

3.4  Lumbar spine

3.5  Injuries and diseases

4.    Pelvis (anatomy, biomechanics, fracture treatment)

5     Fracture Healing

5.1  Basics and biology of fracture repair

5.2  Clinical principals and terminology of fracture treatment

5.3  Biomechanics of fracture treatment

5.3.1    Screws

5.3.2    Plates

5.3.3    Nails

5.3.4    External fixation devices

5.3.5    Spine implants

6.0       New Implants


Literature

Cochran V.B.: Orthopädische Biomechanik

Mow V.C., Hayes W.C.: Basic Orthopaedic Biomechanics

White A.A., Panjabi M.M.: Clinical biomechanics of the spine

Nigg, B.: Biomechanics of the musculo-skeletal system

Schiebler T.H., Schmidt W.: Anatomie

Platzer: dtv-Atlas der Anatomie, Band 1 Bewegungsapparat



Module M1280: MED II: Introduction to Physiology

Courses
Title Typ Hrs/wk CP
Introduction to Physiology (L0385) Lecture 2 3
Module Responsible Dr. Roger Zimmermann
Admission Requirements None
Recommended Previous Knowledge None
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge The students can
  • describe the basics of the energy metabolism;
  • describe physiological relations in selected fields of muscle, heart/circulation, neuro- and sensory physiology.
Skills The students can describe the effects of basic bodily functions (sensory, transmission and processing of information, development of forces and vital functions) and relate them to similar technical systems.
Personal Competence
Social Competence The students can conduct discussions in research and medicine on a technical level.

The students can find solutions to problems in the field of physiology, both analytical and metrological.

Autonomy

The students can derive answers to questions arising in the course and other physiological areas, using technical literature, by themselves.

Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Credit points 3
Course achievement None
Examination Written exam
Examination duration and scale 60 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
Data Science: Specialisation Medicine: Compulsory
Electrical Engineering: Specialisation Medical Technology: Elective Compulsory
Engineering Science: Specialisation Biomedical Engineering: Elective Compulsory
General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Elective Compulsory
Mechanical Engineering: Specialisation Biomechanics: Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0385: Introduction to Physiology
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr. Gerhard Engler
Language DE
Cycle SoSe
Content
Literature

Taschenatlas der Physiologie, Silbernagl Despopoulos, ISBN 978-3-135-67707-1, Thieme

Repetitorium Physiologie, Speckmann, ISBN 978-3-437-42321-5, Elsevier

Module M1332: BIO I: Experimental Methods in Biomechanics

Courses
Title Typ Hrs/wk CP
Experimental Methods in Biomechanics (L0377) Lecture 2 3
Module Responsible Prof. Michael Morlock
Admission Requirements None
Recommended Previous Knowledge

It is recommended to participate in "Implantate und Frakturheilung" before attending "Experimentelle Methoden".

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The course deals with common experimental methods used in biomechanics. For each topic an overview and some basic practical knowledge is provided.

1. Tribology
2. Optical Methods
3. Motion Analysis
4. Pressure Distribution
5. Strain Gauges
6. Pre-clinical testing
7. Specimen Preparation and Storage


The students can describe the different ways how bones heal, and the requirements for their existence.

The students can name different treatments for the spine and hollow bones under given fracture morphologies.

The students can describe different measurement techniques for forces and movements, and choose the adequate technique for a given task.

Skills

The students can describe the basic handling of several experimental techniques used in biomechanics.

Personal Competence
Social Competence

Students are able to organize themselves as a group to solve simple experimental tasks together. On the one hand, the division of tasks must be organized during the experiment as well as during the short written elaboration, but on the other hand, the knowledge acquired must be available to all participants of the group afterwards. The challenge here is that the topics change quickly because fundamentally different measurement principles are taught. In addition, a strict time management is expected.

Autonomy

Students perform simple experimental tasks in small groups or create simple sensors (e.g. strain gauges). The preceding lecture serves as a basis for these experiments. As preparation or follow-up, the theoretical knowledge has to be worked up and related to the experimental result. In particular, independent transfer performance is necessary to clarify why experimental observations can show deviations from the theoretical values and how these deviations can be compensated.

Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Credit points 3
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
Engineering Science: Specialisation Biomedical Engineering: Elective Compulsory
General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Elective Compulsory
Mechanical Engineering: Specialisation Biomechanics: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0377: Experimental Methods in Biomechanics
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Michael Morlock
Language DE
Cycle SoSe
Content

The course deals with common experimental methods used in biomechanics. For each topic an overview and some basic practical knowledge is provided.

1. Tribology
2. Optical Methods
3. Motion Analysis
4. Pressure Distribution
5. Strain Gauges
6. Pre-clinical testing
7. Specimen Preparation and Storage

Literature

Hoffmann K., Eine Einführung in die Technik des Messens mit Dehnmessstreifen

White A.A., Panjabi M.M.: Clinical biomechanics of the spine

Nigg, B.: Biomechanics of the musculo-skeletal system

Online Hilfe von Mathworks: https://de.mathworks.com/help/matlab/

Module M0934: Advanced Materials for Sustainability

Courses
Title Typ Hrs/wk CP
Advanced Materials Characterization (L1087) Lecture 2 2
Advanced Materials for Sustainability (L1091) Lecture 2 2
Advanced Materials for Sustainability (L1092) Recitation Section (large) 2 2
Module Responsible Prof. Patrick Huber
Admission Requirements None
Recommended Previous Knowledge Fundamentals of Materials Science (I and II)
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students will be able to explain the properties of advanced materials along with their applications in technology, in particular metallic, ceramic, polymeric, semiconductor, modern composite materials (biomaterials) and nanomaterials.

Skills

The students will be able to select material configurations according to the technical needs and, if necessary, to design new materials considering architectural principles from the micro- to the macroscale. The students will also gain an overview on modern materials science, which enables them to select optimum materials combinations depending on the technical applications.

Personal Competence
Social Competence

The students are able to present solutions to specialists and to develop ideas further.


Autonomy

The students are able to ...

  • assess their own strengths and weaknesses.
  • define tasks independently.


Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Materials in Engineering Sciences: Compulsory
Engineering Science: Specialisation Mechanical Engineering: Elective Compulsory
Engineering Science: Specialisation Advanced Materials: Compulsory
Mechanical Engineering: Core Qualification: Elective Compulsory
Course L1087: Advanced Materials Characterization
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Patrick Huber
Language DE
Cycle SoSe
Content
Literature

William D. Callister und David G. Rethwisch, Materialwissenschaften und Werkstofftechnik, Wiley&Sons, Asia (2011).

William D. Callister, Materials Science and Technology, Wiley& Sons, Inc. (2007).



Course L1091: Advanced Materials for Sustainability
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Patrick Huber, Prof. Stefan Fritz Müller, Prof. Patrick Huber, Prof. Gerold Schneider, Prof. Jörg Weißmüller
Language DE/EN
Cycle SoSe
Content


Literature Vorlesungsunterlagen
Course L1092: Advanced Materials for Sustainability
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Bodo Fiedler, Prof. Stefan Fritz Müller, Prof. Patrick Huber, Prof. Gerold Schneider, Prof. Jörg Weißmüller
Language DE/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1693: Computer Science for Engineers - Programming Concepts, Data Handling & Communication

Courses
Title Typ Hrs/wk CP
Computer Science for Engineers - Programming Concepts, Data Handling & Communication (L2689) Lecture 3 3
Computer Science for Engineers - Programming Concepts, Data Handling & Communication (L2690) Recitation Section (small) 2 3
Module Responsible Prof. Sibylle Fröschle
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
Skills


Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 10 % Attestation Testate finden semesterbegleitend statt.
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Renewable Energy: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Elective Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Systems: Elective Compulsory
Logistics and Mobility: Specialisation Information Technology: Compulsory
Mechatronics: Core Qualification: Compulsory
Process Engineering: Core Qualification: Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Compulsory
Course L2689: Computer Science for Engineers - Programming Concepts, Data Handling & Communication
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Sibylle Fröschle
Language DE
Cycle SoSe
Content
Literature

John V. Guttag: Introduction to Computation and Programming Using Python.
With Application to Understanding Data. 2nd Edition. The MIT Press, 2016.

Course L2690: Computer Science for Engineers - Programming Concepts, Data Handling & Communication
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sibylle Fröschle
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Focus Energy Systems

The aim of the specialization Energy Systems in the field of study Mechanical Engineering of the course of study General Engineering Science is to familiarize students with different technologies for energy conversion, energy distribution and energy application. Graduates are qualified to analyse, abstract and model processes. They are able to evaluate data and results and to develop strategies for finding innovative, energy efficient solutions. They take the connection of different problems into account. Furthermore the graduates are able to document and to communicate scientific results.

The specialization Energy Systems enables a consecutive study of the Master Energy Systems or an economical oriented master study.





 

Module M0684: Heat Transfer

Courses
Title Typ Hrs/wk CP
Heat Transfer (L0458) Lecture 3 4
Heat Transfer (L0459) Recitation Section (large) 2 2
Module Responsible Dr. Andreas Moschallski
Admission Requirements None
Recommended Previous Knowledge Technical Thermodynamics I, II and Fluid Dynamics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students can

- explain the technical terms,

- classify the various physical processes of heat transfer in terms of conduction-based and radiation-based mechanisms,

- simplify and critically analyze complex heat transfer processes using models,

- methodically develop solutions to tasks.




Skills

The students are able to

- describe the physics of the different Heat Transfer mechanism,

- simplifywith models, calculate and evaluate complex Heat Transfer processes,

- critically question and answer statements on heat transfer,

- solve excersises self-consistent and in small groups.

Personal Competence
Social Competence

In lectures and exercises, the students can use many examples and experiments to discuss in small groups in a goal-oriented manner, develop a solution and present it. Within the exercises, the students can independently develop further questions and work out targeted solutions.


Autonomy

The students can check their level of knowledge by means of repetition questions at the beginning of the lectures and describe and discuss answers in exchange with the other students. In the exercises, the students work in small groups on the methods taught in the lectures in complex tasks and critically analyze the results in the auditorium.


Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Compulsory
Energy Systems: Technical Complementary Course Core Studies: Elective Compulsory
Integrated Building Technology: Core Qualification: Compulsory
Mechanical Engineering: Specialisation Energy Systems: Compulsory
Mechanical Engineering: Specialisation Theoretical Mechanical Engineering: Elective Compulsory
Course L0458: Heat Transfer
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Dr. Andreas Moschallski
Language DE
Cycle WiSe
Content

Dimensional analysis, Heat Conduction (steady and unsteady) , Convective Heat Transfer (natural convection, forced convection), Two-phase Heat Transfer (evaporation, condensation), Thermal Radiation, Heat Transfer on a thermodynamic view, thermotechnical devices, measures of temperature and heat flux


Literature

- Herwig, H.; Moschallski, A.: Wärmeübertragung, 4. Auflage, Springer Vieweg Verlag, Wiesbaden, 2019

- Herwig, H.: Wärmeübertragung von A-Z, Springer- Verlag, Berlin, Heidelberg, 2000

- Baehr, H.D.; Stephan, K.: Wärme- und Stoffübertragung, 2. Auflage, Springer Verlag, Berlin, Heidelberg, 1996

Course L0459: Heat Transfer
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Dr. Andreas Moschallski
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1022: Reciprocating Machinery

Courses
Title Typ Hrs/wk CP
Fundamentals of Reciprocating Engines and Turbomachinery - Part Reciprocating Engines (L0633) Lecture 1 1
Fundamentals of Reciprocating Engines and Turbomachinery - Part Reciprocating Engines (L0634) Recitation Section (large) 1 1
Internal Combustion Engines I (L0059) Lecture 2 2
Internal Combustion Engines I (L0639) Recitation Section (large) 1 2
Module Responsible Prof. Christopher Friedrich Wirz
Admission Requirements None
Recommended Previous Knowledge Thermodynamics, Mechanics, Machine Elements
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

As a result of the part module „Fundamentals of Reciprocating Machinery”, the students are able to reflect fundamentals regarding power and working machinery and describe the qualitative and quantitative correlations of operating methods and efficiencies of multiple types of engines, compressors and pumps. They are able to utilize technical terms and parameters as well as aspects regarding the development of power density and efficiency, furthermore to give an overview of charging systems, fuels and emissions. The students are able to select specific types of machinery and assess design related and operational problems.

As a result of the part module “Internal Combustion Engines I”, the students are able reflect and utilize the state-of-the-art regarding efficiency limits. In addition, they are able to utilize their knowledge of design, mechanical and thermodynamic characteristics and the approach of similarity. They are able to explain, assess and develop engines as well as charging systems. Detailed knowledge is present regarding computer-aided process design. 

Skills

The students are skilled to employ basic and detail knowledge regarding reciprocating machinery, their selection and operation. They are further able to assess, analyse and solve technical and operational problems and to perform mechanical and thermodynamic design.


Personal Competence
Social Competence

The students are able to communicate and cooperate in a professional environment in the field of machinery design and application.


Autonomy

The widespread scope of gained knowledge enables the students to handle situations in their future profession independently and confidently.


Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Compulsory
Energy and Environmental Engineering: Core Qualification: Elective Compulsory
Energy Systems: Technical Complementary Course Core Studies: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory
Mechanical Engineering: Specialisation Energy Systems: Compulsory
Course L0633: Fundamentals of Reciprocating Engines and Turbomachinery - Part Reciprocating Engines
Typ Lecture
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Christopher Friedrich Wirz
Language DE
Cycle WiSe
Content
  • Verbrennungsmotoren
    • Historischer Rückblick
    • Einteilung der Verbrennungsmotoren
    • Arbeitsverfahren
    • Vergleichsprozesse
    • Arbeit, Mitteldrücke, Leistungen
    • Arbeitsprozess des wirklichen Motors
    • Wirkungsgrade
    • Gemischbildung und Verbrennung
    • Motorkennfeld und Betriebskennlinien
    • Abgasentgiftung
    • Gaswechsel
    • Aufladung
    • Kühl- und Schmiersystem
    • Kräfte im Triebwerk
  • Kolbenverdichter
    • Thermodynamik des Kolbenverdichters
    • Einteilung und Verwendung
  • Kolbenpumpen
    • Prinzip der Kolbenpumpen
    • Einteilung und Verwendung
Literature
  • A. Urlaub: Verbrennungsmotoren
  • W. Kalide: Kraft- und Arbeitsmaschinen
Course L0634: Fundamentals of Reciprocating Engines and Turbomachinery - Part Reciprocating Engines
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Christopher Friedrich Wirz
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L0059: Internal Combustion Engines I
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Wolfgang Thiemann
Language DE
Cycle SoSe
Content
  • The beginnings of engine development
  • Design of of motors
  • Real process calculation
  • Charging methods
  • Kinematics of the crank mechanism
  • Forces in the engine
Literature
  • Vorlesungsskript
  • Übungsaufgaben mit Lösungsweg
  • Literaturliste


Course L0639: Internal Combustion Engines I
Typ Recitation Section (large)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Wolfgang Thiemann
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0662: Numerical Mathematics I

Courses
Title Typ Hrs/wk CP
Numerical Mathematics I (L0417) Lecture 2 3
Numerical Mathematics I (L0418) Recitation Section (small) 2 3
Module Responsible Prof. Sabine Le Borne
Admission Requirements None
Recommended Previous Knowledge
  • Mathematik I + II for Engineering Students (german or english) or Analysis & Linear Algebra I + II for Technomathematicians
  • basic MATLAB/Python knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to

  • name numerical methods for interpolation, integration, least squares problems, eigenvalue problems, nonlinear root finding problems and to explain their core ideas,
  • repeat convergence statements for the numerical methods,
  • explain aspects for the practical execution of numerical methods with respect to computational and storage complexitx.


Skills

Students are able to

  • implement, apply and compare numerical methods using MATLAB/Python,
  • justify the convergence behaviour of numerical methods with respect to the problem and solution algorithm,
  • select and execute a suitable solution approach for a given problem.
Personal Competence
Social Competence

Students are able to

  • work together in heterogeneously composed teams (i.e., teams from different study programs and background knowledge), explain theoretical foundations and support each other with practical aspects regarding the implementation of algorithms.
Autonomy

Students are capable

  • to assess whether the supporting theoretical and practical excercises are better solved individually or in a team,
  • to assess their individual progess and, if necessary, to ask questions and seek help.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Computer Science: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Materials in Engineering Sciences: Compulsory
Bioprocess Engineering: Specialisation A - General Bioprocess Engineering: Elective Compulsory
Computer Science: Specialisation II. Mathematics and Engineering Science: Elective Compulsory
Data Science: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Elective Compulsory
Engineering Science: Core Qualification: Compulsory
Engineering Science: Core Qualification: Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Mechanical Engineering: Specialisation Theoretical Mechanical Engineering: Compulsory
Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course Core Studies: Elective Compulsory
Process Engineering: Specialisation Process Engineering: Elective Compulsory
Course L0417: Numerical Mathematics I
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sabine Le Borne
Language EN
Cycle WiSe
Content
  1. Finite precision arithmetic, error analysis, conditioning and stability
  2. Linear systems of equations: LU and Cholesky factorization, condition
  3. Interpolation: polynomial, spline and trigonometric interpolation
  4. Nonlinear equations: fixed point iteration, root finding algorithms, Newton's method
  5. Linear and nonlinear least squares problems: normal equations, Gram Schmidt and Householder orthogonalization, singular value decomposition, regularizatio, Gauss-Newton and Levenberg-Marquardt methods
  6. Eigenvalue problems: power iteration, inverse iteration, QR algorithm
  7. Numerical differentiation
  8. Numerical integration: Newton-Cotes rules, error estimates, Gauss quadrature, adaptive quadrature
Literature
  • Gander/Gander/Kwok: Scientific Computing: An introduction using Maple and MATLAB, Springer (2014)
  • Stoer/Bulirsch: Numerische Mathematik 1, Springer
  • Dahmen, Reusken: Numerik für Ingenieure und Naturwissenschaftler, Springer


Course L0418: Numerical Mathematics I
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sabine Le Borne, Dr. Jens-Peter Zemke
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0655: Computational Fluid Dynamics I

Courses
Title Typ Hrs/wk CP
Computational Fluid Dynamics I (L0235) Lecture 2 3
Computational Fluid Dynamics I (L0419) Recitation Section (large) 2 3
Module Responsible Prof. Thomas Rung
Admission Requirements None
Recommended Previous Knowledge

Students should have sound knowledge of engineering mathematics (series expansions, internal & vector calculus), and be familiar with the foundations of partial/ordinary differential equations. They should also be familiar with engineering fluid mechanics and thermodynamics.

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students will have the required combined knowledge of thermo-/fluid dynamics and numerical analysis to translate general principles of thermo-/fluid engineering into discrete algorithms on the basis of local (finite differences/volumes) and global (potential theory) ansatz functions. They are familiar with the similarities and differences between different discretisation and approximation concepts for investigating coupled systems of non-linear, convective partial differential equations (PDE), and explain the motivation for applying them. Students have the required background knowledge to develop, code, explain and apply numerical algorithms dedicated to the solution of thermofluid  dynamic PDEs. They are familiar with most numerical methods used to predict thermofluid dynamic fields, in particular their realms and limitations.

Skills

The students are able choose and apply appropriate numerical procedures that integrate the governing thermofluid dynamic PDEs in space and time. They can apply/optimise numerical analysis concepts to/for fluid dynamic applications. They can code computational algorithms in a structured way, apply these codes for parameter investigations and supplement interfaces to extract simulation data for an engineering analysis.  



Personal Competence
Social Competence

The students are able to discuss problems, present the results of their own analysis, and jointly develop, implement and report on solution strategies that address given technical reference problems.


Autonomy

The students can independently analyse numerical methods to solving fluid engineering problems. They are able to critically analyse own results as well as external data with regards to the plausibility and reliability.



Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 2h
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Naval Architecture: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Elective Compulsory
Energy Systems: Technical Complementary Course Core Studies: Elective Compulsory
Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Naval Architecture: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0235: Computational Fluid Dynamics I
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Thomas Rung
Language DE
Cycle WiSe
Content

Fundamentals of computational modelling of thermofluid dynamic problems. Development of numerical algorithms.

  1. Partial differential equations
  2. Foundations of finite numerical approximations
  3. Computation of potential flows
  4. Introduction of finite-differences
  5. Approximation of convective, diffusive and transient transport processes
  6. Formulation of boundary conditions and initial conditions
  7. Assembly and solution of algebraic equation systems
  8. Facets of weighted -residual approaches
  9. Finite volume methods
  10. Basics of grid generation
Literature

Ferziger and Peric: Computational Methods for Fluid Dynamics, Springer

Course L0419: Computational Fluid Dynamics I
Typ Recitation Section (large)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Thomas Rung
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0610: Electrical Machines and Actuators

Courses
Title Typ Hrs/wk CP
Electrical Machines and Actuators (L0293) Lecture 3 4
Electrical Machines and Actuators (L0294) Recitation Section (large) 2 2
Module Responsible Prof. Thorsten Kern
Admission Requirements None
Recommended Previous Knowledge

Basics of mathematics, in particular complexe numbers, integrals, differentials

Basics of electrical engineering and mechanical engineering

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can to draw and explain the basic principles of electric and magnetic fields. 

They can describe the function of the standard types of electric machines and present the corresponding equations and characteristic curves. For typically used drives they can explain the major parameters of the energy efficiency of the whole system from the power grid to the driven engine.

Skills

Students are able to calculate two-dimensional electric and magnetic fields in particular ferromagnetic circuits with air gap. For this they apply the usual methods of the design auf electric machines.

They can calulate the operational performance of electric machines from their given characteristic data and selected quantities and characteristic curves. They apply the usual equivalent circuits and graphical methods.


Personal Competence
Social Competence none
Autonomy

Students are able independently to calculate electric and magnatic fields for applications. They are able to analyse independently the operational performance of electric machines from the charactersitic data and theycan calculate thereof selected quantities and characteristic curves.


Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Subject theoretical and practical work
Examination duration and scale Design of four machines and actuators, review of design files
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Elective Compulsory
Digital Mechanical Engineering: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Elective Compulsory
Engineering Science: Specialisation Electrical Engineering: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory
Logistics and Mobility: Specialisation Engineering Science: Elective Compulsory
Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory
Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory
Mechanical Engineering: Core Qualification: Elective Compulsory
Mechatronics: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory
Course L0293: Electrical Machines and Actuators
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Thorsten Kern, Dennis Kähler
Language DE
Cycle SoSe
Content

Electric field: Coulomb´s law, flux (field) line, work, potential, capacitor, energy, force, capacitive actuators

Magnetic field: force, flux line, Ampere´s law, field at bounderies, flux, magnetic circuit, hysteresis, induction, self-induction, mutual inductance, transformer, electromagnetic actuators

Synchronous machines, construction and layout, equivalent single line diagrams, no-load and short-cuircuit characteristics, vector diagrams, motor and generator operation, stepper motors

DC-Machines: Construction and layout, torque generation mechanismen, torque vs speed characteristics, commutation,

Asynchronous Machines. Magnetic field, construction and layout, equivalent single line diagram, complex stator current diagram (Heylands´diagram), torque vs. speed characteristics, rotor layout (squirrel-cage vs. sliprings),

Drives with variable speed, inverter fed operation, special drives

Literature

Hermann Linse, Roland Fischer: "Elektrotechnik für Maschinenbauer", Vieweg-Verlag; Signatur der Bibliothek der TUHH: ETB 313

Ralf Kories, Heinz Schmitt-Walter: "Taschenbuch der Elektrotechnik"; Verlag Harri Deutsch; Signatur der Bibliothek der TUHH: ETB 122

"Grundlagen der Elektrotechnik" - anderer Autoren

Fachbücher "Elektrische Maschinen"

Course L0294: Electrical Machines and Actuators
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Thorsten Kern, Dennis Kähler
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1693: Computer Science for Engineers - Programming Concepts, Data Handling & Communication

Courses
Title Typ Hrs/wk CP
Computer Science for Engineers - Programming Concepts, Data Handling & Communication (L2689) Lecture 3 3
Computer Science for Engineers - Programming Concepts, Data Handling & Communication (L2690) Recitation Section (small) 2 3
Module Responsible Prof. Sibylle Fröschle
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
Skills


Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 10 % Attestation Testate finden semesterbegleitend statt.
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Renewable Energy: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Elective Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Systems: Elective Compulsory
Logistics and Mobility: Specialisation Information Technology: Compulsory
Mechatronics: Core Qualification: Compulsory
Process Engineering: Core Qualification: Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Compulsory
Course L2689: Computer Science for Engineers - Programming Concepts, Data Handling & Communication
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Sibylle Fröschle
Language DE
Cycle SoSe
Content
Literature

John V. Guttag: Introduction to Computation and Programming Using Python.
With Application to Understanding Data. 2nd Edition. The MIT Press, 2016.

Course L2690: Computer Science for Engineers - Programming Concepts, Data Handling & Communication
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sibylle Fröschle
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0618: Renewables Energy Systems und Energy Economy

Courses
Title Typ Hrs/wk CP
Power Industry (L0316) Lecture 1 1
Energy Systems and Energy Industry (L0315) Lecture 2 2
Renewable Energy (L0313) Lecture 2 2
Renewable Energy (L1434) Recitation Section (small) 1 1
Module Responsible Prof. Martin Kaltschmitt
Admission Requirements None
Recommended Previous Knowledge none
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

With completion of this module, the students can provide an overview of characteristics of energy systems and their economic efficiency. They can explain the issues occurring in this context. Furthermore, they can explain details of power generation, power distribution and power trading wih regard to subject-related contexts. The students can explain these aspects, which are applicable to many energy systems in general, especially for renewable energy systems and critical discuss them. Furthermore, the students can explain the environmental benefits from the use of such systems.




Skills

Students are able to apply methodologies for detailed determination of energy demand or energy production for various types of energy systems. Furthermore, they can evaluate energy systems technically, environmentally and economically and design them under certain given conditions. Therefore, they can choose the necessary subject-specific calculation rules, also for not standardized solutions of a problem.

The students are able to explain questions and possible approaches to its processing from the field of renewable energies orally and to put them them into the right context. 

Personal Competence
Social Competence

The students are able to analyze suitable technical alternatives and to assess them with technical, economical and ecological criteria under sustainability aspects. This allows them to make an effective contribuition to a more sustainable power supply.

Autonomy

Students can independently exploit sources , acquire the particular knowledge about the subject area and transform it to new questions.

Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 3 hours written exam
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Elective Compulsory
Energy and Environmental Engineering: Core Qualification: Compulsory
Course L0316: Power Industry
Typ Lecture
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Martin Kaltschmitt, Prof. Andreas Wiese
Language DE
Cycle SoSe
Content
  • Electrical energy in the energy system
  • Demand and use of electrical energy (households, industry, "new" buyers (including e-mobility))
  • Electricity generation
    • electricity generation technologies using fossil fuels and their characteristics
    • combined heat and power technologies and their production characteristics
    • electricity generation from renewable energy technologies and their characteristics
  • Power distribution
    • "classic" distribution of electrical energy
    • challenges of fluctuating electricity generation by distributed systems (electricity market, electricity stock exchange, emissions trading)
  • District heating industry
  • Legal and administrative aspects
    • Energy Act
    • support instruments for renewable energy
    • CHP Act
  • Cost and efficiency calculation
Literature

Folien der Vorlesung

Course L0315: Energy Systems and Energy Industry
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Martin Kaltschmitt
Language DE
Cycle SoSe
Content
  • Energy: development and significance
  • Fundamentals and basic concepts
  • Energy demand and future trends (heat, electricity, fuels)
  • Energy reserve and sources
  • Cost and efficiency calculation
  • Final and effective energy from petroleum, natural gas, coal, uranium and other
  • Legal, administrative and organizational aspects of energy systems
  • Energy systems as a permanent optimization task
Literature
  • Kopien der Folien
Course L0313: Renewable Energy
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Martin Kaltschmitt
Language DE/EN
Cycle SoSe
Content
  • introduction
  • solar energy for heat and power generation
  • wind power for electricity generation
  • hydropower for electricity generation
  • ocean energy for electricity generation
  • geothermal energy for heat and electricty generation
Literature
  • Kaltschmitt, M.; Streicher, W.; Wiese, A. (Hrsg.): Erneuerbare Energien - System­technik, Wirtschaft­lichkeit, Umweltaspekte; Springer, Berlin, Heidelberg, 2006, 4. Auflage
  • Kaltschmitt, M.; Streicher, W.; Wiese, A. (Hrsg.): Renewable Energy - Technology, Economics and Environment; Springer, Berlin, Heidelberg,2007
Course L1434: Renewable Energy
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Martin Kaltschmitt
Language DE/EN
Cycle SoSe
Content

Students work on different tasks in the field of renewable energies. They present their solutions in the exercise lesson and discuss it with other students and the lecturer.

Possible tasks in the field of renewable energies are:

  • Solar thermal heat
  • Concentrating solare power
  • Photovoltaic
  • Windenergie
  • Hydropower
  • Heat pump
  • Deep geothermal energy
Literature
  • Kaltschmitt, M.; Streicher, W.; Wiese, A. (Hrsg.): Erneuerbare Energien - System­technik, Wirtschaft­lichkeit, Umweltaspekte; Springer, Berlin, Heidelberg, 2006, 4. Auflage
  • Kaltschmitt, M.; Streicher, W.; Wiese, A. (Hrsg.): Renewable Energy - Technology, Economics and Environment; Springer, Berlin, Heidelberg,2007

Focus Aircraft Systems Engineering

The area of specialization „Aircraft System Engineering“ prepares participating students for diverse kind of professions in the field of aviation and related industries. Students learn how to use typical methods of systems engineering as well as the application of modern, computer-based techniques for system design, analysis and evaluation. Furthermore required knowledge from different fields of aviation including aircraft systems and air transportation system is discussed.

Additionally students get insight into current research activities, e.g. in the area of fuel cells and electrical energy supply, actuators, avionics systems and software or hydraulic energy supply.

Module M0596: Advanced Mechanical Design Project

Courses
Title Typ Hrs/wk CP
Advanced Mechanical Design Project (L0266) Project-/problem-based Learning 4 6
Module Responsible Dr. Jens Schmidt
Admission Requirements None
Recommended Previous Knowledge
  • Mechanical Engineering: Design
  • Advanced Mechanical Engineering Design
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

After passing the module, students are able to:

  • express the procedure for systematically handling of
  • complex design tasks ,
  • describe working principles, their use and combination possibilities,
  • explain guidelines for designing for function and manufacturing,
  • explain advanced use-oriented knowledge of machine elements.
Skills

After passing the module, students are able to:

  • analyze complex tasks and develop principle solutions using sketches,
  • convert principle solutions into a detailed design,
  • use methods to design and solve engineering design tasks systematically and solution-oriented,
  • create a technical documentation including all necessary technical drawings to understand the functions of the system,
  • document calculations of selected machine elements clearly and in detail.
Personal Competence
Social Competence

After passing the module, students are able to:

  • present and discuss solutions and technical drawings within groups,
  • reflect the own results in the work groups of the course
Autonomy

After passing the module, students are able to:

  • independently solve complex design projects, while motivating themselves, acquiring necessary knowledge and selecting appropriate methods,
  • to independently solve problems.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes None Attestation
Examination Written exam
Examination duration and scale 180
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Course L0266: Advanced Mechanical Design Project
Typ Project-/problem-based Learning
Hrs/wk 4
CP 6
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Lecturer Dr. Jens Schmidt, Dr. Volkert Wollesen
Language DE
Cycle WiSe
Content

Das Konstruktionsprojekt gliedert sich in den Entwurf eines Getriebes sowie die Lösungsfindung.

  • Getriebekonstruktion in Einzelarbeit
    • Erarbeitung von Lösungsprinzipien
    • Berechnung von Maschinenelementen
    • Entwurf eines Getriebes im Hauptschnitt plus allen Außenansichten
    • Erstellung einer ausführlichen Dokumentation
  • Lösungsfindung
    • Methodische  Erarbeitung von prinzipiellen Lösungskonzepten
    • Erstellen einer Dokumentation
Literature
  • Dubbel, Taschenbuch für den Maschinenbau; Grote, K.-H., Feldhusen, J.(Hrsg.); Springer-Verlag, aktuelle Auflage.
  • Maschinenelemente, Band I-III; Niemann, G., Springer-Verlag, aktuelle Auflage.
  •  Maschinen- und Konstruktionselemente; Steinhilper, W., Röper, R., Springer Verlag, aktuelle Auflage.
  •  Einführung in die DIN-Normen; Klein, M., Teubner-Verlag.
  •  Konstruktionslehre, Pahl, G.; Beitz, W., Springer-Verlag, aktuelle Auflage.
  •  Maschinenelemente 1-2; Schlecht, B., Pearson Verlag, aktuelle Auflage.
  •  Maschinenelemente - Gestaltung, Berechnung, Anwendung; Haberhauer, H., Bodenstein, F., Springer-Verlag, aktuelle Auflage.
  • Roloff/Matek Maschinenelemente; Wittel, H., Muhs, D., Jannasch, D., Voßiek, J., Springer Vieweg, aktuelle Auflage.
  • Sowie weitere Bücher zu speziellen Themen

Module M0655: Computational Fluid Dynamics I

Courses
Title Typ Hrs/wk CP
Computational Fluid Dynamics I (L0235) Lecture 2 3
Computational Fluid Dynamics I (L0419) Recitation Section (large) 2 3
Module Responsible Prof. Thomas Rung
Admission Requirements None
Recommended Previous Knowledge

Students should have sound knowledge of engineering mathematics (series expansions, internal & vector calculus), and be familiar with the foundations of partial/ordinary differential equations. They should also be familiar with engineering fluid mechanics and thermodynamics.

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students will have the required combined knowledge of thermo-/fluid dynamics and numerical analysis to translate general principles of thermo-/fluid engineering into discrete algorithms on the basis of local (finite differences/volumes) and global (potential theory) ansatz functions. They are familiar with the similarities and differences between different discretisation and approximation concepts for investigating coupled systems of non-linear, convective partial differential equations (PDE), and explain the motivation for applying them. Students have the required background knowledge to develop, code, explain and apply numerical algorithms dedicated to the solution of thermofluid  dynamic PDEs. They are familiar with most numerical methods used to predict thermofluid dynamic fields, in particular their realms and limitations.

Skills

The students are able choose and apply appropriate numerical procedures that integrate the governing thermofluid dynamic PDEs in space and time. They can apply/optimise numerical analysis concepts to/for fluid dynamic applications. They can code computational algorithms in a structured way, apply these codes for parameter investigations and supplement interfaces to extract simulation data for an engineering analysis.  



Personal Competence
Social Competence

The students are able to discuss problems, present the results of their own analysis, and jointly develop, implement and report on solution strategies that address given technical reference problems.


Autonomy

The students can independently analyse numerical methods to solving fluid engineering problems. They are able to critically analyse own results as well as external data with regards to the plausibility and reliability.



Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 2h
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Naval Architecture: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Elective Compulsory
Energy Systems: Technical Complementary Course Core Studies: Elective Compulsory
Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Naval Architecture: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0235: Computational Fluid Dynamics I
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Thomas Rung
Language DE
Cycle WiSe
Content

Fundamentals of computational modelling of thermofluid dynamic problems. Development of numerical algorithms.

  1. Partial differential equations
  2. Foundations of finite numerical approximations
  3. Computation of potential flows
  4. Introduction of finite-differences
  5. Approximation of convective, diffusive and transient transport processes
  6. Formulation of boundary conditions and initial conditions
  7. Assembly and solution of algebraic equation systems
  8. Facets of weighted -residual approaches
  9. Finite volume methods
  10. Basics of grid generation
Literature

Ferziger and Peric: Computational Methods for Fluid Dynamics, Springer

Course L0419: Computational Fluid Dynamics I
Typ Recitation Section (large)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Thomas Rung
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0662: Numerical Mathematics I

Courses
Title Typ Hrs/wk CP
Numerical Mathematics I (L0417) Lecture 2 3
Numerical Mathematics I (L0418) Recitation Section (small) 2 3
Module Responsible Prof. Sabine Le Borne
Admission Requirements None
Recommended Previous Knowledge
  • Mathematik I + II for Engineering Students (german or english) or Analysis & Linear Algebra I + II for Technomathematicians
  • basic MATLAB/Python knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to

  • name numerical methods for interpolation, integration, least squares problems, eigenvalue problems, nonlinear root finding problems and to explain their core ideas,
  • repeat convergence statements for the numerical methods,
  • explain aspects for the practical execution of numerical methods with respect to computational and storage complexitx.


Skills

Students are able to

  • implement, apply and compare numerical methods using MATLAB/Python,
  • justify the convergence behaviour of numerical methods with respect to the problem and solution algorithm,
  • select and execute a suitable solution approach for a given problem.
Personal Competence
Social Competence

Students are able to

  • work together in heterogeneously composed teams (i.e., teams from different study programs and background knowledge), explain theoretical foundations and support each other with practical aspects regarding the implementation of algorithms.
Autonomy

Students are capable

  • to assess whether the supporting theoretical and practical excercises are better solved individually or in a team,
  • to assess their individual progess and, if necessary, to ask questions and seek help.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Computer Science: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Materials in Engineering Sciences: Compulsory
Bioprocess Engineering: Specialisation A - General Bioprocess Engineering: Elective Compulsory
Computer Science: Specialisation II. Mathematics and Engineering Science: Elective Compulsory
Data Science: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Elective Compulsory
Engineering Science: Core Qualification: Compulsory
Engineering Science: Core Qualification: Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Mechanical Engineering: Specialisation Theoretical Mechanical Engineering: Compulsory
Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course Core Studies: Elective Compulsory
Process Engineering: Specialisation Process Engineering: Elective Compulsory
Course L0417: Numerical Mathematics I
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sabine Le Borne
Language EN
Cycle WiSe
Content
  1. Finite precision arithmetic, error analysis, conditioning and stability
  2. Linear systems of equations: LU and Cholesky factorization, condition
  3. Interpolation: polynomial, spline and trigonometric interpolation
  4. Nonlinear equations: fixed point iteration, root finding algorithms, Newton's method
  5. Linear and nonlinear least squares problems: normal equations, Gram Schmidt and Householder orthogonalization, singular value decomposition, regularizatio, Gauss-Newton and Levenberg-Marquardt methods
  6. Eigenvalue problems: power iteration, inverse iteration, QR algorithm
  7. Numerical differentiation
  8. Numerical integration: Newton-Cotes rules, error estimates, Gauss quadrature, adaptive quadrature
Literature
  • Gander/Gander/Kwok: Scientific Computing: An introduction using Maple and MATLAB, Springer (2014)
  • Stoer/Bulirsch: Numerische Mathematik 1, Springer
  • Dahmen, Reusken: Numerik für Ingenieure und Naturwissenschaftler, Springer


Course L0418: Numerical Mathematics I
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sabine Le Borne, Dr. Jens-Peter Zemke
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0599: Integrated Product Development and Lightweight Design

Courses
Title Typ Hrs/wk CP
CAE-Team Project (L0271) Project-/problem-based Learning 2 2
Development of Lightweight Design Products (L0270) Lecture 2 2
Integrated Product Development I (L0269) Lecture 2 2
Module Responsible Prof. Dieter Krause
Admission Requirements None
Recommended Previous Knowledge

Advanced Knowledge about engineering design:

Fundamentals of Mechanical Engineering Design

Mechanical Engineering: Design

Advanced Mechanical Engineering Design

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

After completing the module, students are capable of:

  • explaining the functional principle of 3D-CAD-Systems, PDM- and FEM-Systems
  • describing the interaction of the different CAE-Systems in the product development process
Skills


After completing the module, students are able to:


  • evaluate different CAD- and PDM-Systems with regards to the desired requirements such as classification schemes and product structuring
  • design an exemplary product using CAD-,PDM- and/or FEM-Systems with shared workload


Personal Competence
Social Competence

After completing the module, students are able to:

  • To develop a project plan and allocate work appropriate work packages  in the framework of group discussions
  • Present project results as a team for instance in a presentation
Autonomy

Students are capable of:

  • independently adapt to a CAE-Tool and complete a given practical task with it
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes 20 % Subject theoretical and practical work CAE-Teamprojekt inkl. Vortrag und Ausarbeitung
Examination Written exam
Examination duration and scale 90
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Compulsory
Engineering Science: Specialisation Mechanical Engineering: Elective Compulsory
General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering: Elective Compulsory
Mechanical Engineering: Specialisation Product Development and Production: Compulsory
Mechanical Engineering: Specialisation Aircraft Systems Engineering: Compulsory
Product Development, Materials and Production: Technical Complementary Course Core Studies: Elective Compulsory
Course L0271: CAE-Team Project
Typ Project-/problem-based Learning
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Dieter Krause
Language DE
Cycle SoSe
Content
  • Practical Introduction in the used software systems (Creo, Windchill, Hyperworks)
  • Team formation, allocation of tasks and generation of a project plan
  • Collective creation of one product out of CAD models supported by FEM calculations and PDM system
  • Manufacturing of selected parts using 3D printer
  • Presentation of results

Description

Part of the module is a project based team orientated practical course using the PBL method. In this course, students learn the handling of modern CAD, PDM and FEM systems (Creo, Windchill and Hyperworks). After a short introduction in the applied software systems, students work in teams on a task during the semester. The aim is the development of one product out of several CAD parts models using a PDM system including FEM calculations of selected parts and 3D printing of parts. The developed product must be presented in a joint presentation.

Literature -
Course L0270: Development of Lightweight Design Products
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Dieter Krause, Prof. Benedikt Kriegesmann
Language DE
Cycle SoSe
Content
  • Lightweight design materials
  • Product development process for lightweight structures
  • Dimensioning of lightweight structures
Literature
  • Schürmann, H., „Konstruieren mit Faser-Kunststoff-Verbunden“, Springer, Berlin, 2005.
  • Klein, B., „Leichtbau-Konstruktion", Vieweg & Sohn, Braunschweig, 1989.
  • Krause, D., „Leichtbau”,  In: Handbuch Konstruktion, Hrsg.: Rieg, F., Steinhilper, R., München, Carl Hanser Verlag, 2012.
  • Schulte, K., Fiedler, B., „Structure and Properties of Composite Materials”, Hamburg, TUHH - TuTech Innovation GmbH, 2005.
  • Wiedemann, J., „Leichtbau Band 1: Elemente“, Springer, Berlin, Heidelberg, 1986.
Course L0269: Integrated Product Development I
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Dieter Krause
Language DE
Cycle SoSe
Content
  • Introduction to Integrated Product Development
  • 3D CAD -Systems and CAD interfaces
  • Administration of part lists / PDM systems
  • PDM in different industries
  • Selection of CAD-/PDM Systems
  • Simulation
  • Construction methods
  • Design for X
Literature
  • Ehrlenspiel, K.: Integrierte Produktentwicklung, München, Carl Hanser Verlag
  • Lee, K.: Principles of CAD / CAM / CAE Systems, Addison Wesles
  • Schichtel, M.: Produktdatenmodellierung in der Praxis, München, Carl Hanser Verlag
  • Anderl, R.: CAD Schnittstellen, München, Carl Hanser Verlag
  • Spur, G., Krause, F.: Das virtuelle Produkt, München, Carl Hanser Verlag

Module M0865: Fundamentals of Production and Quality Management

Courses
Title Typ Hrs/wk CP
Production Process Organization (L0925) Lecture 2 3
Quality Management (L0926) Lecture 2 3
Module Responsible Prof. Hermann Lödding
Admission Requirements None
Recommended Previous Knowledge None
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge Students are able to explain the contents of the lecture of the module.
Skills Students are able to apply the methods and models in the module to industrial problems.
Personal Competence
Social Competence -
Autonomy -
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 180 Minuten
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Elective Compulsory
Engineering Science: Core Qualification: Compulsory
Engineering Science: Specialisation Mechatronics: Elective Compulsory
Engineering Science: Specialisation Mechanical Engineering: Elective Compulsory
Engineering Science: Specialisation Advanced Materials: Elective Compulsory
Logistics and Mobility: Specialisation Production Management and Processes: Compulsory
Logistics and Mobility: Specialisation Engineering Science: Elective Compulsory
Mechanical Engineering: Core Qualification: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Compulsory
Course L0925: Production Process Organization
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Hermann Lödding
Language EN
Cycle SoSe
Content

(A)        Introduction

(B)        Product planning

(C)        Process planning

(D)        Procurement

(E)         Manufacturing

(F)         Production planning and control (PPC)

(G)        Distribution

(H)        Cooperation

Literature

Wiendahl, H.-P.: Betriebsorganisation für Ingenieure

Vorlesungsskript

Course L0926: Quality Management
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Hermann Lödding
Language EN
Cycle SoSe
Content
  • Definition and Relevance of Quality
  • Continuous Quality Improvement
  • Quality Management in Product Development
  • Quality Management in Production Processes
  • Design of Experiments
Literature
  • Pfeifer, Tilo: Quality Management. Strategies, Methods, Techniques; Hanser-Verlag, München 2002
  • Pfeifer, Tilo: Qualitätsmanagement. Strategien, Methoden, Techniken; Hanser-Verlag, München, 3. Aufl. 2001
  • Mitra, Amitava: Fundamentals of Quality Control and Improvement; Wiley; Macmillan, 2008
  • Kleppmann, W.: Taschenbuch Versuchsplanung. Produkte und Prozesse optimieren; Hanser-Verlag, München, 6. Aufl. 2009

Module M0767: Aeronautical Systems

Courses
Title Typ Hrs/wk CP
Fundamentals of Aircraft Systems (L0741) Lecture 2 2
Fundamentals of Aircraft Systems (L0742) Recitation Section (small) 1 1
Air Transportation Systems (L0591) Lecture 2 2
Air Transportation Systems (L0816) Recitation Section (large) 1 1
Module Responsible Prof. Frank Thielecke
Admission Requirements None
Recommended Previous Knowledge Basics of mathematics, mechanics and thermodynamics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge Students get a basic understanding of the structure and design of an aircraft, as well as an overview of the systems inside an aircraft. In addition, a basic knowledge of the relationchips, the key parameters, roles and ways of working in different subsystems in the air transport is acquired.
Skills Due to the learned cross-system thinking students can gain a deeper understanding of different system concepts and their technical system implementation. In addition, they can apply the learned methods for the design and assessment of subsystems of the air transportation system in the context of the overall system.
Personal Competence
Social Competence Students are made aware of interdisciplinary communication in groups.
Autonomy Students are able to independently analyze different system concepts and their technical implementation as well as to think system oriented.
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 150 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Compulsory
Logistics and Mobility: Specialisation Logistics and Mobility: Elective Compulsory
Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory
Mechanical Engineering: Specialisation Aircraft Systems Engineering: Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory
Course L0741: Fundamentals of Aircraft Systems
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Frank Thielecke
Language DE
Cycle SoSe
Content

- Development of aircrafts, fundamentals of flight physics, propulsion systems, analysis of ranges and loads, aircraft-structures and materials
- Hydraulic and electrical power systems, landing gear systems, flight-control and high-lift systems, air conditioning systems

Literature

- Shevell, R. S.: Fundamentals of Flight
- TÜV Rheinland: Luftfahrtzeugtechnik in Theorie und Praxis
- Wild: Transport Category Aircraft Systems

Course L0742: Fundamentals of Aircraft Systems
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Frank Thielecke
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L0591: Air Transportation Systems
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Volker Gollnick
Language DE
Cycle SoSe
Content
  1. Air transport as part of the global transportation system
  2. Legal basis of air transportation
  3. Safety and security aspects
  4. Aircraft basics
  5. The role of the aircraft amnufacturer
  6. The role of the aircraft operator
  7. Airport operation
  8. The principles of air traffic management
  9. Environmental aspects of air transportation
Literature
  1. V. Gollnick, D. Schmitt: "Air Transport System", Springer-Verlag, ISBN 978-3-7091-1879-5
  2. H. Mensen: "Handbuch der Luftfahrt", Springer-Verlag, 2003
  3. J.P. Clark: “Buying the Big Jets”, ISBN 9781317170341 , Taylor & Francis, 2017
  4. Mike Hirst: The Air Transport System, AIAA, 2008
  5. D.P. Raymer: "Aircraft Design - A Conceptual Approach", AIAA Education Series, 2006, ISBN 1-56347-281-3
  6. N. Ashford: "Airport Operations", McGraw-Hill, 1997, ISBN 0-07-003077-4
  7. P. Maurer: "Luftverkehrsmanagement", Oldenbourg-Verlag, ISBN 3-486-27422-8
  8. H. Mensen: "Moderne Flugsicherung", Springer-Verlag, 2004, ISBN 3-540-20581-0
Course L0816: Air Transportation Systems
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Volker Gollnick
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1693: Computer Science for Engineers - Programming Concepts, Data Handling & Communication

Courses
Title Typ Hrs/wk CP
Computer Science for Engineers - Programming Concepts, Data Handling & Communication (L2689) Lecture 3 3
Computer Science for Engineers - Programming Concepts, Data Handling & Communication (L2690) Recitation Section (small) 2 3
Module Responsible Prof. Sibylle Fröschle
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
Skills


Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 10 % Attestation Testate finden semesterbegleitend statt.
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Renewable Energy: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Elective Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Systems: Elective Compulsory
Logistics and Mobility: Specialisation Information Technology: Compulsory
Mechatronics: Core Qualification: Compulsory
Process Engineering: Core Qualification: Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Compulsory
Course L2689: Computer Science for Engineers - Programming Concepts, Data Handling & Communication
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Sibylle Fröschle
Language DE
Cycle SoSe
Content
Literature

John V. Guttag: Introduction to Computation and Programming Using Python.
With Application to Understanding Data. 2nd Edition. The MIT Press, 2016.

Course L2690: Computer Science for Engineers - Programming Concepts, Data Handling & Communication
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sibylle Fröschle
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1573: Modeling, Simulation and Optimization (EN)

Courses
Title Typ Hrs/wk CP
Modeling, Simulation and Optimization (EN) (L2446) Integrated Lecture 4 6
Module Responsible Prof. Benedikt Kriegesmann
Admission Requirements None
Recommended Previous Knowledge

Sound knowledge of engineering mathematics, engineering mechanics and fluid mechanics

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students will have an overview of various technical problems and the differential equations, which describe them. Students will gave an overview of different solution approaches and for which kind of problems they can be used for.

Skills

Students are able to solve different technical problems with the introduced discretization methods.

Personal Competence
Social Competence

The students are able to discuss problems and jointly develop solution strategies.

Autonomy

The students are able to develop solution strategies for complex problems self-consistent and critically analyse results.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Elective Compulsory
Engineering Science: Core Qualification: Compulsory
Mechanical Engineering: Specialisation Theoretical Mechanical Engineering: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L2446: Modeling, Simulation and Optimization (EN)
Typ Integrated Lecture
Hrs/wk 4
CP 6
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Lecturer Prof. Benedikt Kriegesmann, Prof. Thomas Rung, Prof. Alexander Düster, Prof. Robert Seifried
Language EN
Cycle SoSe
Content
  • Partial Differential Equations in technical problems
  • Overview of modelling approaches
  • Finite Approximation Methods - Finite Differences / Elements / Volumes
  • Introduction to the Discrete Element Method
  • Numerical methods for time dependent problems
  • Gradient-based optimization
Literature

Michael Schäfer, Computational Engineering - Introduction to Numerical Methods, Springer.

Focus Mechatronics

In the focus "Mechatronics" students learn next to the knowledge and skills of mechanical engineering deeper knowledge and skills of electrical and mechatronics engineering and are therefore able to solve interdisciplinary problems in mechatronics, those sub-disciplines and related disciplines.

Module M0708: Electrical Engineering III: Circuit Theory and Transients

Courses
Title Typ Hrs/wk CP
Circuit Theory (L0566) Lecture 3 4
Circuit Theory (L0567) Recitation Section (small) 2 2
Module Responsible Prof. Alexander Kölpin
Admission Requirements None
Recommended Previous Knowledge

Electrical Engineering I and II, Mathematics I and II


Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to explain the basic methods for calculating electrical circuits. They know the Fourier series analysis of linear networks driven by periodic signals. They know the methods for transient analysis of linear networks in time and in frequency domain, and they are able to explain the frequency behaviour and the synthesis of passive two-terminal-circuits.


Skills

The students are able to calculate currents and voltages in linear networks by means of basic methods, also when driven by periodic signals. They are able to calculate transients in electrical circuits in time and frequency domain and are able to explain the respective transient behaviour. They are able to analyse and to synthesize the frequency behaviour of passive two-terminal-circuits.


Personal Competence
Social Competence

Students work on exercise tasks in small guided groups. They are encouraged to present and discuss their results within the group.


Autonomy

The students are able to find out the required methods for solving the given practice problems. Possibilities are given to test their knowledge during the lectures continuously by means of short-time tests. This allows them to control independently their educational objectives. They can link their gained knowledge to other courses like Electrical Engineering I and Mathematics I.


Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 150 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Compulsory
Electrical Engineering: Core Qualification: Compulsory
Engineering Science: Specialisation Electrical Engineering: Compulsory
Computer Science in Engineering: Specialisation II. Mathematics & Engineering Science: Elective Compulsory
Mechatronics: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0566: Circuit Theory
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Alexander Kölpin, Dr. Fabian Lurz
Language DE
Cycle WiSe
Content

- Circuit theorems

- N-port circuits

- Periodic excitation of linear circuits

- Transient analysis in time domain

- Transient analysis in frequency domain; Laplace Transform

- Frequency behaviour of passive one-ports


Literature

- M. Albach, "Grundlagen der Elektrotechnik 1", Pearson Studium (2011)

- M. Albach, "Grundlagen der Elektrotechnik 2", Pearson Studium (2011)

- L. P. Schmidt, G. Schaller, S. Martius, "Grundlagen der Elektrotechnik 3", Pearson Studium (2011)

- T. Harriehausen, D. Schwarzenau, "Moeller Grundlagen der Elektrotechnik", Springer (2013) 

- A. Hambley, "Electrical Engineering: Principles and Applications", Pearson (2008)

- R. C. Dorf, J. A. Svoboda, "Introduction to electrical circuits", Wiley (2006)

- L. Moura, I. Darwazeh, "Introduction to Linear Circuit Analysis and Modeling", Amsterdam Newnes (2005)


Course L0567: Circuit Theory
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Alexander Kölpin, Dr. Fabian Lurz
Language DE
Cycle WiSe
Content see interlocking course
Literature

siehe korrespondierende Lehrveranstaltung

Module M1320: Simulation and Design of Mechatronic Systems

Courses
Title Typ Hrs/wk CP
Simulation and Design of Mechatronic Systems (L1822) Lecture 2 2
Simulation and Design of Mechatronic Systems (L1823) Recitation Section (large) 1 2
Simulation and Design of Mechatronic Systems (L1824) Practical Course 1 2
Module Responsible NN
Admission Requirements None
Recommended Previous Knowledge Fundatmentals of mechanics, control theory and electrical engineering
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to describe methods and calculations for design, modeling, simulation and optimization of mechatronic systems.

Skills

Students are able to apply modern algorithms for modeling of mechatronic systems. They can identify, simulate and design simple systems and implement those in laboratory conditions.

Personal Competence
Social Competence

Students are able to work goal-oriented in small mixed groups and present results to target groups.

Autonomy

Students are able to recognize and improve knowledge deficits independently.

With instructor assistance, students are able to evaluate their own knowledge level and define a further course of study.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Elective Compulsory
Digital Mechanical Engineering: Core Qualification: Compulsory
Mechanical Engineering: Specialisation Aircraft Systems Engineering: Compulsory
Mechanical Engineering: Specialisation Mechatronics: Compulsory
Mechatronics: Core Qualification: Compulsory
Course L1822: Simulation and Design of Mechatronic Systems
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer NN
Language DE
Cycle WiSe
Content

Mechatronic Design

Modeling

Model Identifikation

Numerical Methods in simulation

Applications and examples in Matlab® and Simulink®

Literature

Skript zur Veranstaltung

Weitere Literatur in der Veranstaltung

Course L1823: Simulation and Design of Mechatronic Systems
Typ Recitation Section (large)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer NN
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L1824: Simulation and Design of Mechatronic Systems
Typ Practical Course
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer NN
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0662: Numerical Mathematics I

Courses
Title Typ Hrs/wk CP
Numerical Mathematics I (L0417) Lecture 2 3
Numerical Mathematics I (L0418) Recitation Section (small) 2 3
Module Responsible Prof. Sabine Le Borne
Admission Requirements None
Recommended Previous Knowledge
  • Mathematik I + II for Engineering Students (german or english) or Analysis & Linear Algebra I + II for Technomathematicians
  • basic MATLAB/Python knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to

  • name numerical methods for interpolation, integration, least squares problems, eigenvalue problems, nonlinear root finding problems and to explain their core ideas,
  • repeat convergence statements for the numerical methods,
  • explain aspects for the practical execution of numerical methods with respect to computational and storage complexitx.


Skills

Students are able to

  • implement, apply and compare numerical methods using MATLAB/Python,
  • justify the convergence behaviour of numerical methods with respect to the problem and solution algorithm,
  • select and execute a suitable solution approach for a given problem.
Personal Competence
Social Competence

Students are able to

  • work together in heterogeneously composed teams (i.e., teams from different study programs and background knowledge), explain theoretical foundations and support each other with practical aspects regarding the implementation of algorithms.
Autonomy

Students are capable

  • to assess whether the supporting theoretical and practical excercises are better solved individually or in a team,
  • to assess their individual progess and, if necessary, to ask questions and seek help.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Computer Science: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Materials in Engineering Sciences: Compulsory
Bioprocess Engineering: Specialisation A - General Bioprocess Engineering: Elective Compulsory
Computer Science: Specialisation II. Mathematics and Engineering Science: Elective Compulsory
Data Science: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Elective Compulsory
Engineering Science: Core Qualification: Compulsory
Engineering Science: Core Qualification: Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Mechanical Engineering: Specialisation Theoretical Mechanical Engineering: Compulsory
Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course Core Studies: Elective Compulsory
Process Engineering: Specialisation Process Engineering: Elective Compulsory
Course L0417: Numerical Mathematics I
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sabine Le Borne
Language EN
Cycle WiSe
Content
  1. Finite precision arithmetic, error analysis, conditioning and stability
  2. Linear systems of equations: LU and Cholesky factorization, condition
  3. Interpolation: polynomial, spline and trigonometric interpolation
  4. Nonlinear equations: fixed point iteration, root finding algorithms, Newton's method
  5. Linear and nonlinear least squares problems: normal equations, Gram Schmidt and Householder orthogonalization, singular value decomposition, regularizatio, Gauss-Newton and Levenberg-Marquardt methods
  6. Eigenvalue problems: power iteration, inverse iteration, QR algorithm
  7. Numerical differentiation
  8. Numerical integration: Newton-Cotes rules, error estimates, Gauss quadrature, adaptive quadrature
Literature
  • Gander/Gander/Kwok: Scientific Computing: An introduction using Maple and MATLAB, Springer (2014)
  • Stoer/Bulirsch: Numerische Mathematik 1, Springer
  • Dahmen, Reusken: Numerik für Ingenieure und Naturwissenschaftler, Springer


Course L0418: Numerical Mathematics I
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sabine Le Borne, Dr. Jens-Peter Zemke
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0610: Electrical Machines and Actuators

Courses
Title Typ Hrs/wk CP
Electrical Machines and Actuators (L0293) Lecture 3 4
Electrical Machines and Actuators (L0294) Recitation Section (large) 2 2
Module Responsible Prof. Thorsten Kern
Admission Requirements None
Recommended Previous Knowledge

Basics of mathematics, in particular complexe numbers, integrals, differentials

Basics of electrical engineering and mechanical engineering

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can to draw and explain the basic principles of electric and magnetic fields. 

They can describe the function of the standard types of electric machines and present the corresponding equations and characteristic curves. For typically used drives they can explain the major parameters of the energy efficiency of the whole system from the power grid to the driven engine.

Skills

Students are able to calculate two-dimensional electric and magnetic fields in particular ferromagnetic circuits with air gap. For this they apply the usual methods of the design auf electric machines.

They can calulate the operational performance of electric machines from their given characteristic data and selected quantities and characteristic curves. They apply the usual equivalent circuits and graphical methods.


Personal Competence
Social Competence none
Autonomy

Students are able independently to calculate electric and magnatic fields for applications. They are able to analyse independently the operational performance of electric machines from the charactersitic data and theycan calculate thereof selected quantities and characteristic curves.


Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Subject theoretical and practical work
Examination duration and scale Design of four machines and actuators, review of design files
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Elective Compulsory
Digital Mechanical Engineering: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Elective Compulsory
Engineering Science: Specialisation Electrical Engineering: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory
Logistics and Mobility: Specialisation Engineering Science: Elective Compulsory
Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory
Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory
Mechanical Engineering: Core Qualification: Elective Compulsory
Mechatronics: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory
Course L0293: Electrical Machines and Actuators
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Thorsten Kern, Dennis Kähler
Language DE
Cycle SoSe
Content

Electric field: Coulomb´s law, flux (field) line, work, potential, capacitor, energy, force, capacitive actuators

Magnetic field: force, flux line, Ampere´s law, field at bounderies, flux, magnetic circuit, hysteresis, induction, self-induction, mutual inductance, transformer, electromagnetic actuators

Synchronous machines, construction and layout, equivalent single line diagrams, no-load and short-cuircuit characteristics, vector diagrams, motor and generator operation, stepper motors

DC-Machines: Construction and layout, torque generation mechanismen, torque vs speed characteristics, commutation,

Asynchronous Machines. Magnetic field, construction and layout, equivalent single line diagram, complex stator current diagram (Heylands´diagram), torque vs. speed characteristics, rotor layout (squirrel-cage vs. sliprings),

Drives with variable speed, inverter fed operation, special drives

Literature

Hermann Linse, Roland Fischer: "Elektrotechnik für Maschinenbauer", Vieweg-Verlag; Signatur der Bibliothek der TUHH: ETB 313

Ralf Kories, Heinz Schmitt-Walter: "Taschenbuch der Elektrotechnik"; Verlag Harri Deutsch; Signatur der Bibliothek der TUHH: ETB 122

"Grundlagen der Elektrotechnik" - anderer Autoren

Fachbücher "Elektrische Maschinen"

Course L0294: Electrical Machines and Actuators
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Thorsten Kern, Dennis Kähler
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0777: Semiconductor Circuit Design

Courses
Title Typ Hrs/wk CP
Semiconductor Circuit Design (L0763) Lecture 3 4
Semiconductor Circuit Design (L0864) Recitation Section (small) 1 2
Module Responsible Prof. Matthias Kuhl
Admission Requirements None
Recommended Previous Knowledge

Fundamentals of electrical engineering

Basics of physics, especially semiconductor physics

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students are able to explain the functionality of different MOS devices in electronic circuits.
  • Students are able to explain how analog circuits functions and where they are applied.
  • Students are able to explain the functionality of fundamental operational amplifiers and their specifications.
  • Students know the fundamental digital logic circuits and can discuss their advantages and disadvantages.
  • Students have knowledge about memory circuits and can explain their functionality and specifications.
  • Students know the appropriate fields for the use of bipolar transistors.


Skills
  • Students can calculate the specifications of different MOS devices and can define the parameters of electronic circuits.
  • Students are able to develop different logic circuits and can design different types of logic circuits.
  • Students can use MOS devices, operational amplifiers and bipolar transistors for specific applications.


Personal Competence
Social Competence
  • Students are able work efficiently in heterogeneous teams.
  • Students working together in small groups can solve problems and answer professional  questions.


Autonomy
  • Students are able to assess their level of knowledge.


Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory
Data Science: Core Qualification: Elective Compulsory
Electrical Engineering: Core Qualification: Compulsory
Engineering Science: Specialisation Electrical Engineering: Compulsory
Engineering Science: Specialisation Mechatronics: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Electrical Engineering: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Mechatronics: Compulsory
Computer Science in Engineering: Specialisation II. Mathematics & Engineering Science: Elective Compulsory
Mechanical Engineering: Specialisation Mechatronics: Compulsory
Mechatronics: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0763: Semiconductor Circuit Design
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Matthias Kuhl
Language DE
Cycle SoSe
Content
  • Repetition Semiconductorphysics and Diodes
  • Functionality and characteristic curve of bipolar transistors
  • Basic circuits with bipolar transistors
  • Functionality and characteristic curve of MOS transistors
  • Basic circuits with MOS transistors for amplifiers
  • Operational amplifiers and their applications
  • Typical applications for analog and digital circuits
  • Realization of logical functions 
  • Basic circuits with MOS transistors for combinational logic
  • Memory circuits
  • Basic circuits with MOS transistors for sequential logic
  • Basic concepts of analog-to-digital and digital-to-analog-converters
Literature

U. Tietze und Ch. Schenk, E. Gamm, Halbleiterschaltungstechnik, Springer Verlag, 14. Auflage, 2012, ISBN 3540428496

R. J. Baker, CMOS - Circuit Design, Layout and Simulation, J. Wiley & Sons Inc., 3. Auflage, 2011, ISBN: 047170055S

H. Göbel, Einführung in die Halbleiter-Schaltungstechnik, Berlin, Heidelberg Springer-Verlag Berlin Heidelberg, 2011, ISBN: 9783642208874 ISBN: 9783642208867

URL: http://site.ebrary.com/lib/alltitles/docDetail.action?docID=10499499

URL: http://dx.doi.org/10.1007/978-3-642-20887-4

URL: http://ebooks.ciando.com/book/index.cfm/bok_id/319955

URL: http://www.ciando.com/img/bo


Course L0864: Semiconductor Circuit Design
Typ Recitation Section (small)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Matthias Kuhl, Weitere Mitarbeiter
Language DE
Cycle SoSe
Content
  • Basic circuits and characteristic curves of bipolar transistors 
  • Basic circuits and characteristic curves of MOS transistors for amplifiers
  • Realization and dimensioning of operational amplifiers
  • Realization of logic functions
  • Basic circuits with MOS transistors for combinational and sequential logic
  • Memory circuits
  • Circuits for analog-to-digital and digital-to-analog converters
  • Design of exemplary circuits
Literature

U. Tietze und Ch. Schenk, E. Gamm, Halbleiterschaltungstechnik, Springer Verlag, 14. Auflage, 2012, ISBN 3540428496

R. J. Baker, CMOS - Circuit Design, Layout and Simulation, J. Wiley & Sons Inc., 3. Auflage, 2011, ISBN: 047170055S

H. Göbel, Einführung in die Halbleiter-Schaltungstechnik, Berlin, Heidelberg Springer-Verlag Berlin Heidelberg, 2011, ISBN: 9783642208874 ISBN: 9783642208867

URL: http://site.ebrary.com/lib/alltitles/docDetail.action?docID=10499499

URL: http://dx.doi.org/10.1007/978-3-642-20887-4

URL: http://ebooks.ciando.com/book/index.cfm/bok_id/319955

URL: http://www.ciando.com/img/bo


Module M0854: Mathematics IV

Courses
Title Typ Hrs/wk CP
Differential Equations 2 (Partial Differential Equations) (L1043) Lecture 2 1
Differential Equations 2 (Partial Differential Equations) (L1044) Recitation Section (small) 1 1
Differential Equations 2 (Partial Differential Equations) (L1045) Recitation Section (large) 1 1
Complex Functions (L1038) Lecture 2 1
Complex Functions (L1041) Recitation Section (small) 1 1
Complex Functions (L1042) Recitation Section (large) 1 1
Module Responsible Prof. Anusch Taraz
Admission Requirements None
Recommended Previous Knowledge Mathematics I - III
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students can name the basic concepts in Mathematics IV. They are able to explain them using appropriate examples.
  • Students can discuss logical connections between these concepts.  They are capable of illustrating these connections with the help of examples.
  • They know proof strategies and can reproduce them.


Skills
  • Students can model problems in Mathematics IV with the help of the concepts studied in this course. Moreover, they are capable of solving them by applying established methods.
  • Students are able to discover and verify further logical connections between the concepts studied in the course.
  • For a given problem, the students can develop and execute a suitable approach, and are able to critically evaluate the results.


Personal Competence
Social Competence
  • Students are able to work together in teams. They are capable to use mathematics as a common language.
  • In doing so, they can communicate new concepts according to the needs of their cooperating partners. Moreover, they can design examples to check and deepen the understanding of their peers.


Autonomy
  • Students are capable of checking their understanding of complex concepts on their own. They can specify open questions precisely and know where to get help in solving them.
  • Students have developed sufficient persistence to be able to work for longer periods in a goal-oriented manner on hard problems.


Workload in Hours Independent Study Time 68, Study Time in Lecture 112
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 60 min (Complex Functions) + 60 min (Differential Equations 2)
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Naval Architecture: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Elective Compulsory
Electrical Engineering: Core Qualification: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Electrical Engineering: Compulsory
Computer Science in Engineering: Specialisation II. Mathematics & Engineering Science: Elective Compulsory
Mechanical Engineering: Specialisation Mechatronics: Compulsory
Mechanical Engineering: Specialisation Theoretical Mechanical Engineering: Elective Compulsory
Mechatronics: Core Qualification: Compulsory
Naval Architecture: Core Qualification: Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course Core Studies: Elective Compulsory
Course L1043: Differential Equations 2 (Partial Differential Equations)
Typ Lecture
Hrs/wk 2
CP 1
Workload in Hours Independent Study Time 2, Study Time in Lecture 28
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle SoSe
Content

Main features of the theory and numerical treatment of partial differential equations 

  • Examples of partial differential equations
  • First order quasilinear differential equations
  • Normal forms of second order differential equations
  • Harmonic functions and maximum principle
  • Maximum principle for the heat equation
  • Wave equation
  • Liouville's formula
  • Special functions
  • Difference methods
  • Finite elements
Literature
  • http://www.math.uni-hamburg.de/teaching/export/tuhh/index.html


Course L1044: Differential Equations 2 (Partial Differential Equations)
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L1045: Differential Equations 2 (Partial Differential Equations)
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L1038: Complex Functions
Typ Lecture
Hrs/wk 2
CP 1
Workload in Hours Independent Study Time 2, Study Time in Lecture 28
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle SoSe
Content

Main features of complex analysis 

  • Functions of one complex variable
  • Complex differentiation
  • Conformal mappings
  • Complex integration
  • Cauchy's integral theorem
  • Cauchy's integral formula
  • Taylor and Laurent series expansion
  • Singularities and residuals
  • Integral transformations: Fourier and Laplace transformation
Literature
  • http://www.math.uni-hamburg.de/teaching/export/tuhh/index.html


Course L1041: Complex Functions
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L1042: Complex Functions
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1693: Computer Science for Engineers - Programming Concepts, Data Handling & Communication

Courses
Title Typ Hrs/wk CP
Computer Science for Engineers - Programming Concepts, Data Handling & Communication (L2689) Lecture 3 3
Computer Science for Engineers - Programming Concepts, Data Handling & Communication (L2690) Recitation Section (small) 2 3
Module Responsible Prof. Sibylle Fröschle
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
Skills


Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 10 % Attestation Testate finden semesterbegleitend statt.
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Renewable Energy: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Elective Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Systems: Elective Compulsory
Logistics and Mobility: Specialisation Information Technology: Compulsory
Mechatronics: Core Qualification: Compulsory
Process Engineering: Core Qualification: Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Compulsory
Course L2689: Computer Science for Engineers - Programming Concepts, Data Handling & Communication
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Sibylle Fröschle
Language DE
Cycle SoSe
Content
Literature

John V. Guttag: Introduction to Computation and Programming Using Python.
With Application to Understanding Data. 2nd Edition. The MIT Press, 2016.

Course L2690: Computer Science for Engineers - Programming Concepts, Data Handling & Communication
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sibylle Fröschle
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Focus Product Development and Production

The specialization Product Development and Production in the field of study Mechanical Engineering of the course of study General Engineering Science enables a consecutive study of the master Product Development and Production. The specialization maps the product creation process from systematic and methodical development of products, including concept development, design, utilisation of 3D-CAD and Product data management systems, material selection, simulation and test to production, the planning and control and the use of modern manufacturing processes, to high-performance materials.

Module M0596: Advanced Mechanical Design Project

Courses
Title Typ Hrs/wk CP
Advanced Mechanical Design Project (L0266) Project-/problem-based Learning 4 6
Module Responsible Dr. Jens Schmidt
Admission Requirements None
Recommended Previous Knowledge
  • Mechanical Engineering: Design
  • Advanced Mechanical Engineering Design
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

After passing the module, students are able to:

  • express the procedure for systematically handling of
  • complex design tasks ,
  • describe working principles, their use and combination possibilities,
  • explain guidelines for designing for function and manufacturing,
  • explain advanced use-oriented knowledge of machine elements.
Skills

After passing the module, students are able to:

  • analyze complex tasks and develop principle solutions using sketches,
  • convert principle solutions into a detailed design,
  • use methods to design and solve engineering design tasks systematically and solution-oriented,
  • create a technical documentation including all necessary technical drawings to understand the functions of the system,
  • document calculations of selected machine elements clearly and in detail.
Personal Competence
Social Competence

After passing the module, students are able to:

  • present and discuss solutions and technical drawings within groups,
  • reflect the own results in the work groups of the course
Autonomy

After passing the module, students are able to:

  • independently solve complex design projects, while motivating themselves, acquiring necessary knowledge and selecting appropriate methods,
  • to independently solve problems.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes None Attestation
Examination Written exam
Examination duration and scale 180
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Course L0266: Advanced Mechanical Design Project
Typ Project-/problem-based Learning
Hrs/wk 4
CP 6
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Lecturer Dr. Jens Schmidt, Dr. Volkert Wollesen
Language DE
Cycle WiSe
Content

Das Konstruktionsprojekt gliedert sich in den Entwurf eines Getriebes sowie die Lösungsfindung.

  • Getriebekonstruktion in Einzelarbeit
    • Erarbeitung von Lösungsprinzipien
    • Berechnung von Maschinenelementen
    • Entwurf eines Getriebes im Hauptschnitt plus allen Außenansichten
    • Erstellung einer ausführlichen Dokumentation
  • Lösungsfindung
    • Methodische  Erarbeitung von prinzipiellen Lösungskonzepten
    • Erstellen einer Dokumentation
Literature
  • Dubbel, Taschenbuch für den Maschinenbau; Grote, K.-H., Feldhusen, J.(Hrsg.); Springer-Verlag, aktuelle Auflage.
  • Maschinenelemente, Band I-III; Niemann, G., Springer-Verlag, aktuelle Auflage.
  •  Maschinen- und Konstruktionselemente; Steinhilper, W., Röper, R., Springer Verlag, aktuelle Auflage.
  •  Einführung in die DIN-Normen; Klein, M., Teubner-Verlag.
  •  Konstruktionslehre, Pahl, G.; Beitz, W., Springer-Verlag, aktuelle Auflage.
  •  Maschinenelemente 1-2; Schlecht, B., Pearson Verlag, aktuelle Auflage.
  •  Maschinenelemente - Gestaltung, Berechnung, Anwendung; Haberhauer, H., Bodenstein, F., Springer-Verlag, aktuelle Auflage.
  • Roloff/Matek Maschinenelemente; Wittel, H., Muhs, D., Jannasch, D., Voßiek, J., Springer Vieweg, aktuelle Auflage.
  • Sowie weitere Bücher zu speziellen Themen

Module M0726: Production Technology

Courses
Title Typ Hrs/wk CP
Fundamentals of Machine Tools (L0689) Lecture 2 2
Fundamentals of Machine Tools (L1992) Recitation Section (large) 1 1
Forming and Cutting Technology (L0613) Lecture 2 2
Forming and Cutting Technology (L0614) Recitation Section (large) 1 1
Module Responsible Prof. Wolfgang Hintze
Admission Requirements None
Recommended Previous Knowledge

without major course assessment

internship recommended

Previous knowledge in mathematics, mechanics and electrical engineering

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to ...

  • explain the basics of chip formation and mechanisms and models of machining.
  • explain methods and parameters for design and analysis of metal forming, machining processes and tools.
  • explain technical concepts of machine tool building and give an overview on trends in the machine tool industry.
  • explain types, constructions and functions of CNC-machines and give an overview on multi-machine systems.
  • explain equipment components.
Skills

Students are able to...

  • select tool geometry, cutting materials, process parameters and appropriate measuring technique in accordance with the requirements.
  • estimate occurring forces and temperatures during chip formation.
  • select appropriate machine tools for machining and create NC programs for turning and milling.
  • assess the quality of a machine tools and to detect weak points.
Personal Competence
Social Competence

Students are able to ...

  • develop solutions in a production environment with qualified personnel at technical level and represent decisions.


Autonomy Students are able to ...
  • interpret independently cutting processes.
  • create independently NC programs.
  • select independently machine tools by reference to appropriate requirements.
  • assess own strengths and weaknesses in general.
  • assess their learning progress and define gaps to be improved.
  • assess possible consequences of their actions.
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 180 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Compulsory
Mechanical Engineering: Specialisation Product Development and Production: Compulsory
Product Development, Materials and Production: Technical Complementary Course Core Studies: Elective Compulsory
Course L0689: Fundamentals of Machine Tools
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Thorsten Schüppstuhl
Language DE
Cycle WiSe
Content

Terminology and trends in machine tool building

CNC controls

NC programming and NC programming systems

Types, construction and function of CNC machines

Multi-machinesystems

Equipmentcomponents for machine tools

Assessment of machine tools

Literature

Conrad, K.J

Taschenbuch der Werkzeugmaschinen

9783446406414

Fachbuchverlag 2006

 

Perović, Božina

Spanende Werkzeugmaschinen - Ausführungsformen und Vergleichstabellen

ISBN: 3540899529

Berlin [u.a.]: Springer, 2009

 

Weck, Manfred

Werkzeugmaschinen 1 - Maschinenarten und Anwendungsbereiche

ISBN: 9783540225041

Berlin [u.a.]: Springer, 2005

 

Weck, Manfred; Brecher, Christian

Werkzeugmaschinen 4 - Automatisierung von Maschinen und Anlagen

ISBN: 3540225072

Berlin [u.a.]: Springer, 2006

 

Weck, Manfred; Brecher, Christian

Werkzeugmaschinen 5 - Messtechnische Untersuchung und Beurteilung, dynamische Stabilität

ISBN: 3540225056

Berlin [u.a.]: Springer, 2006

Course L1992: Fundamentals of Machine Tools
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Thorsten Schüppstuhl
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L0613: Forming and Cutting Technology
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Wolfgang Hintze
Language DE
Cycle WiSe
Content
  • Thermomechanical Principles and Models of Machining
  • Chip Formation, Forces, Temperature and Tribology process
  • Wear mechanisms and wear patterns
  • Machinability by Cutting and Forming, Specific Problems of Light Weight Structures
  • Cutting Material and Coatings
  • Methods and Parameters for Analysis and Configuration of Forming and Cutting Processes and Tools
Literature

Lange, K.; Umformtechnik Grundlagen, 2. Auflage, Springer (2002)

Tönshoff, H.; Spanen Grundlagen, 2. Auflage, Springer Verlag (2004)

König, W., Klocke, F.; Fertigungsverfahren Bd. 4 Massivumformung, 4. Auflage, VDI-Verlag (1996)

König, W., Klocke, F.; Fertigungsverfahren Bd. 5 Blechbearbeitung, 3. Auflage, VDI-Verlag (1995)

Klocke, F., König, W.; Fertigungsverfahren Schleifen, Honen, Läppen, 4. Auflage, Springer Verlag (2005)

König, W., Klocke, F.: Fertigungsverfahren Drehen, Fräsen, Bohren, 7. Auflage, Springer Verlag (2002)

Course L0614: Forming and Cutting Technology
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Wolfgang Hintze
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0725: Production Engineering

Courses
Title Typ Hrs/wk CP
Production Engineering I (L0608) Lecture 2 2
Production Engineering I (L0612) Recitation Section (large) 1 1
Production Engineering II (L0610) Lecture 2 2
Production Engineering II (L0611) Recitation Section (large) 1 1
Module Responsible Prof. Wolfgang Hintze
Admission Requirements None
Recommended Previous Knowledge

no course assessments required

internship recommended

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to ...

  • name basic criteria for the selection of manufacturing processes.
  • name the main groups of Manufacturing Technology.
  • name the application areas of different manufacturing processes.
  • name boundaries, advantages and disadvantages of the different manufacturing process.
  • describe elements, geometric properties and kinematic variables and requirements for tools, workpiece and process.
  • explain the essential models of manufacturing technology.


Skills

Students are able to...

  • select manufacturing processes in accordance with the requirements.
  • design manufacturing processes for simple tasks to meet the required tolerances of the component to be produced.
  • assess components in terms of their production-oriented construction.


Personal Competence
Social Competence

Students are able to ...

  • develop solutions in a production environment with qualified personnel at technical level and represent decisions.


Autonomy

Students are able to  ..

  • interpret independently the manufacturing process.
  • assess own strengths and weaknesses in general.
  • assess  their learning progress and define gaps to be improved.
  • assess possible consequences of their  actions.


Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Elective Compulsory
Digital Mechanical Engineering: Core Qualification: Compulsory
Engineering Science: Specialisation Mechanical Engineering: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering: Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory
Logistics and Mobility: Specialisation Production Management and Processes: Compulsory
Logistics and Mobility: Specialisation Engineering Science: Elective Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Compulsory
Course L0608: Production Engineering I
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Wolfgang Hintze
Language DE
Cycle WiSe
Content
  • Manufacturing Accuracy
  • Manufacturing Metrology
  • Measurement Errors and Uncertainties
  • Introduction to Forming
  • Massiv forming and Sheet Metal Forming
  • Introduction to Machining Technology
  • Geometrically defined machining (Turning, milling, drilling, broaching, planning)


Literature

Dubbel, Heinrich (Grote, Karl-Heinrich.; Feldhusen, Jörg.; Dietz, Peter,; Ziegmann, Gerhard,;)  Taschenbuch für den Maschinenbau : mit Tabellen. Berlin [u.a.] : Springer, 2007

Fritz, Alfred Herbert: Fertigungstechnik : mit 62 Tabellen. Berlin [u.a.] : Springer, 2004

Keferstein, Claus P (Dutschke, Wolfgang,;): Fertigungsmesstechnik : praxisorientierte Grundlagen, moderne Messverfahren. Wiesbaden : Teubner, 2008

Mohr, Richard: Statistik für Ingenieure und Naturwissenschaftler : Grundlagen und Anwendung statistischer Verfahren. Renningen : expert-Verl, 2008

Klocke, F., König, W.: Fertigungsverfahren Bd. 1 Drehen, Fäsen, Bohren. 8. Aufl., Springer (2008)

Klocke, Fritz (König, Wilfried,;): Umformen. Berlin [u.a.] : Springer, 2006

Paucksch, E.: Zerspantechnik, Vieweg-Verlag, 1996

Tönshoff, H.K.; Denkena, B., Spanen. Grundlagen, Springer-Verlag (2004)

Course L0612: Production Engineering I
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Wolfgang Hintze
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L0610: Production Engineering II
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Wolfgang Hintze, Prof. Claus Emmelmann
Language DE
Cycle SoSe
Content
  • Geometrically undefined machining (grinding, lapping, honing)
  • Introduction into erosion technology
  • Introduction into blastig processes
  • Introduction to the manufacturing process forming (Casting, Powder Metallurgy, Composites)
  • Fundamentals of Laser Technology
  • Process versions and Fundamentals of Laser Joining Technology
Literature

Klocke, F., König, W.: Fertigungsverfahren Bd. 2 Schleifen, Honen, Läppen, 4. Aufl., Springer (2005)

Klocke, F., König, W.: Fertigungsverfahren Bd. 3 Abtragen, Generieren und Lasermaterialbearbeitung. 4. Aufl., Springer (2007)

Spur, Günter (Stöferle, Theodor.;): Urformen. München [u.a.] : Hanser, 1981

Schatt, Werner (Wieters, Klaus-Peter,; Kieback, Bernd,;): Pulvermetallurgie : Technologien und Werkstoffe. Berlin [u.a.] : Springer, 2007


Course L0611: Production Engineering II
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Wolfgang Hintze, Prof. Claus Emmelmann
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1009: Material Science Laboratory

Courses
Title Typ Hrs/wk CP
Companion Lecture for Materials Science Laboratory (L1088) Lecture 2 2
Material Science Laboratory (L1235) Practical Course 4 4
Module Responsible Prof. Kaline Pagnan Furlan
Admission Requirements None
Recommended Previous Knowledge none
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to give a summary of the technical details of experiments in the area of materials sciences and illustrate respective relationships. They are capable of describing and communicating relevant problems and questions using appropriate technical language. They can explain the typical process of solving practical problems and present related results.

Skills

The students can transfer their fundamental knowledge on material sciences to the process of solving practical problems. They identify and overcome typical problems during the realization of experiments in the context of material sciences.

Personal Competence
Social Competence

Students are able to cooperate in small groups in order to conduct experiments in the context of materials sciences. They are able to effectively present and explain their results alone or in groups in front of a qualified audience.

Autonomy Students are capable of solving problems in the context of materials sciences  using provided literature. They are able to fill gaps in as well as extent their knowledge using the literature and other sources provided by the supervisor.
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Subject theoretical and practical work
Examination duration and scale Test reports on the respective tests and online learning modules with integrated success control
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Materials in Engineering Sciences: Compulsory
Engineering Science: Specialisation Advanced Materials: Compulsory
Mechanical Engineering: Specialisation Product Development and Production: Compulsory
Mechanical Engineering: Specialisation Materials in Engineering Sciences: Compulsory
Product Development, Materials and Production: Technical Complementary Course Core Studies: Elective Compulsory
Course L1088: Companion Lecture for Materials Science Laboratory
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Kaline Pagnan Furlan
Language DE/EN
Cycle WiSe
Content

- Introduction to the Materials Science Laboratory practical course and learning modules;
- Collection of data: source of errors and sample distribution;
- Error calculation;
- Report writing and presentation of results;
- Graph plotting using software(s).



Literature

1) W.D. Callister, Materials science and engineering: an introduction, Wiley 2000  https://katalog.tub.tuhh.de/Record/270018409 or https://katalog.tub.tuhh.de/Record/1696922097 (online link at ‘Exemplare’)

2) John R. Taylor, Fehleranalyse: eine Einführung in die Untersuchung von Unsicherheiten in physikalischen Messungen, 1. Aufl., VCH Verlag, 1988  https://katalog.tub.tuhh.de/Record/027422038     // An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements, 2d Edition, University Science Books, 1997 https://katalog.tub.tuhh.de/Record/024511676


Course L1235: Material Science Laboratory
Typ Practical Course
Hrs/wk 4
CP 4
Workload in Hours Independent Study Time 64, Study Time in Lecture 56
Lecturer Prof. Kaline Pagnan Furlan, Prof. Stefan Fritz Müller, Prof. Patrick Huber, Prof. Bodo Fiedler, Prof. Gerold Schneider, Prof. Jörg Weißmüller
Language DE/EN
Cycle WiSe
Content

5 laboratory experiments:

- Metals: Tensile test

- Plastics: Scanning electron microscopy on fracture surfaces of fiber reinforced plastics

- Plastics: Bending test - bending properties of carbon fiber reinforced plastics

- Ceramics: Ceramic synthesis - From raw material up to sintered product

- Ceramics: Mechanical testing - hardness and fracture toughness of ceramic materials

Literature

1) Vorlesungsunterlagen Grundlagen der Werkstoffwissenschaft I & II

2) W.D. Callister, Materials science and engineering: an introduction, Wiley 2000  https://katalog.tub.tuhh.de/Record/270018409 or https://katalog.tub.tuhh.de/Record/1696922097 (online link at ‘Exemplare’)


Module M0599: Integrated Product Development and Lightweight Design

Courses
Title Typ Hrs/wk CP
CAE-Team Project (L0271) Project-/problem-based Learning 2 2
Development of Lightweight Design Products (L0270) Lecture 2 2
Integrated Product Development I (L0269) Lecture 2 2
Module Responsible Prof. Dieter Krause
Admission Requirements None
Recommended Previous Knowledge

Advanced Knowledge about engineering design:

Fundamentals of Mechanical Engineering Design

Mechanical Engineering: Design

Advanced Mechanical Engineering Design

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

After completing the module, students are capable of:

  • explaining the functional principle of 3D-CAD-Systems, PDM- and FEM-Systems
  • describing the interaction of the different CAE-Systems in the product development process
Skills


After completing the module, students are able to:


  • evaluate different CAD- and PDM-Systems with regards to the desired requirements such as classification schemes and product structuring
  • design an exemplary product using CAD-,PDM- and/or FEM-Systems with shared workload


Personal Competence
Social Competence

After completing the module, students are able to:

  • To develop a project plan and allocate work appropriate work packages  in the framework of group discussions
  • Present project results as a team for instance in a presentation
Autonomy

Students are capable of:

  • independently adapt to a CAE-Tool and complete a given practical task with it
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes 20 % Subject theoretical and practical work CAE-Teamprojekt inkl. Vortrag und Ausarbeitung
Examination Written exam
Examination duration and scale 90
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Compulsory
Engineering Science: Specialisation Mechanical Engineering: Elective Compulsory
General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering: Elective Compulsory
Mechanical Engineering: Specialisation Product Development and Production: Compulsory
Mechanical Engineering: Specialisation Aircraft Systems Engineering: Compulsory
Product Development, Materials and Production: Technical Complementary Course Core Studies: Elective Compulsory
Course L0271: CAE-Team Project
Typ Project-/problem-based Learning
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Dieter Krause
Language DE
Cycle SoSe
Content
  • Practical Introduction in the used software systems (Creo, Windchill, Hyperworks)
  • Team formation, allocation of tasks and generation of a project plan
  • Collective creation of one product out of CAD models supported by FEM calculations and PDM system
  • Manufacturing of selected parts using 3D printer
  • Presentation of results

Description

Part of the module is a project based team orientated practical course using the PBL method. In this course, students learn the handling of modern CAD, PDM and FEM systems (Creo, Windchill and Hyperworks). After a short introduction in the applied software systems, students work in teams on a task during the semester. The aim is the development of one product out of several CAD parts models using a PDM system including FEM calculations of selected parts and 3D printing of parts. The developed product must be presented in a joint presentation.

Literature -
Course L0270: Development of Lightweight Design Products
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Dieter Krause, Prof. Benedikt Kriegesmann
Language DE
Cycle SoSe
Content
  • Lightweight design materials
  • Product development process for lightweight structures
  • Dimensioning of lightweight structures
Literature
  • Schürmann, H., „Konstruieren mit Faser-Kunststoff-Verbunden“, Springer, Berlin, 2005.
  • Klein, B., „Leichtbau-Konstruktion", Vieweg & Sohn, Braunschweig, 1989.
  • Krause, D., „Leichtbau”,  In: Handbuch Konstruktion, Hrsg.: Rieg, F., Steinhilper, R., München, Carl Hanser Verlag, 2012.
  • Schulte, K., Fiedler, B., „Structure and Properties of Composite Materials”, Hamburg, TUHH - TuTech Innovation GmbH, 2005.
  • Wiedemann, J., „Leichtbau Band 1: Elemente“, Springer, Berlin, Heidelberg, 1986.
Course L0269: Integrated Product Development I
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Dieter Krause
Language DE
Cycle SoSe
Content
  • Introduction to Integrated Product Development
  • 3D CAD -Systems and CAD interfaces
  • Administration of part lists / PDM systems
  • PDM in different industries
  • Selection of CAD-/PDM Systems
  • Simulation
  • Construction methods
  • Design for X
Literature
  • Ehrlenspiel, K.: Integrierte Produktentwicklung, München, Carl Hanser Verlag
  • Lee, K.: Principles of CAD / CAM / CAE Systems, Addison Wesles
  • Schichtel, M.: Produktdatenmodellierung in der Praxis, München, Carl Hanser Verlag
  • Anderl, R.: CAD Schnittstellen, München, Carl Hanser Verlag
  • Spur, G., Krause, F.: Das virtuelle Produkt, München, Carl Hanser Verlag

Module M0865: Fundamentals of Production and Quality Management

Courses
Title Typ Hrs/wk CP
Production Process Organization (L0925) Lecture 2 3
Quality Management (L0926) Lecture 2 3
Module Responsible Prof. Hermann Lödding
Admission Requirements None
Recommended Previous Knowledge None
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge Students are able to explain the contents of the lecture of the module.
Skills Students are able to apply the methods and models in the module to industrial problems.
Personal Competence
Social Competence -
Autonomy -
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 180 Minuten
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Elective Compulsory
Engineering Science: Core Qualification: Compulsory
Engineering Science: Specialisation Mechatronics: Elective Compulsory
Engineering Science: Specialisation Mechanical Engineering: Elective Compulsory
Engineering Science: Specialisation Advanced Materials: Elective Compulsory
Logistics and Mobility: Specialisation Production Management and Processes: Compulsory
Logistics and Mobility: Specialisation Engineering Science: Elective Compulsory
Mechanical Engineering: Core Qualification: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Compulsory
Course L0925: Production Process Organization
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Hermann Lödding
Language EN
Cycle SoSe
Content

(A)        Introduction

(B)        Product planning

(C)        Process planning

(D)        Procurement

(E)         Manufacturing

(F)         Production planning and control (PPC)

(G)        Distribution

(H)        Cooperation

Literature

Wiendahl, H.-P.: Betriebsorganisation für Ingenieure

Vorlesungsskript

Course L0926: Quality Management
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Hermann Lödding
Language EN
Cycle SoSe
Content
  • Definition and Relevance of Quality
  • Continuous Quality Improvement
  • Quality Management in Product Development
  • Quality Management in Production Processes
  • Design of Experiments
Literature
  • Pfeifer, Tilo: Quality Management. Strategies, Methods, Techniques; Hanser-Verlag, München 2002
  • Pfeifer, Tilo: Qualitätsmanagement. Strategien, Methoden, Techniken; Hanser-Verlag, München, 3. Aufl. 2001
  • Mitra, Amitava: Fundamentals of Quality Control and Improvement; Wiley; Macmillan, 2008
  • Kleppmann, W.: Taschenbuch Versuchsplanung. Produkte und Prozesse optimieren; Hanser-Verlag, München, 6. Aufl. 2009

Module M1693: Computer Science for Engineers - Programming Concepts, Data Handling & Communication

Courses
Title Typ Hrs/wk CP
Computer Science for Engineers - Programming Concepts, Data Handling & Communication (L2689) Lecture 3 3
Computer Science for Engineers - Programming Concepts, Data Handling & Communication (L2690) Recitation Section (small) 2 3
Module Responsible Prof. Sibylle Fröschle
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
Skills


Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 10 % Attestation Testate finden semesterbegleitend statt.
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Renewable Energy: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Elective Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Systems: Elective Compulsory
Logistics and Mobility: Specialisation Information Technology: Compulsory
Mechatronics: Core Qualification: Compulsory
Process Engineering: Core Qualification: Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Compulsory
Course L2689: Computer Science for Engineers - Programming Concepts, Data Handling & Communication
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Sibylle Fröschle
Language DE
Cycle SoSe
Content
Literature

John V. Guttag: Introduction to Computation and Programming Using Python.
With Application to Understanding Data. 2nd Edition. The MIT Press, 2016.

Course L2690: Computer Science for Engineers - Programming Concepts, Data Handling & Communication
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sibylle Fröschle
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Focus Theoretical Mechanical Engineering

The graduates acquire basic research and methodological oriented content mechanical engineering knowledge and associated mechanical engineering expertise to develop mathematical descriptions, analysis and synthesis of basic technical systems methods, products or processes. This course, concentrates on simulation technology, advanced mathematics and heat transfer, such that a continuous study in the Master program in Theoretical Mechanical Engineering is possible.

Module M0662: Numerical Mathematics I

Courses
Title Typ Hrs/wk CP
Numerical Mathematics I (L0417) Lecture 2 3
Numerical Mathematics I (L0418) Recitation Section (small) 2 3
Module Responsible Prof. Sabine Le Borne
Admission Requirements None
Recommended Previous Knowledge
  • Mathematik I + II for Engineering Students (german or english) or Analysis & Linear Algebra I + II for Technomathematicians
  • basic MATLAB/Python knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to

  • name numerical methods for interpolation, integration, least squares problems, eigenvalue problems, nonlinear root finding problems and to explain their core ideas,
  • repeat convergence statements for the numerical methods,
  • explain aspects for the practical execution of numerical methods with respect to computational and storage complexitx.


Skills

Students are able to

  • implement, apply and compare numerical methods using MATLAB/Python,
  • justify the convergence behaviour of numerical methods with respect to the problem and solution algorithm,
  • select and execute a suitable solution approach for a given problem.
Personal Competence
Social Competence

Students are able to

  • work together in heterogeneously composed teams (i.e., teams from different study programs and background knowledge), explain theoretical foundations and support each other with practical aspects regarding the implementation of algorithms.
Autonomy

Students are capable

  • to assess whether the supporting theoretical and practical excercises are better solved individually or in a team,
  • to assess their individual progess and, if necessary, to ask questions and seek help.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Computer Science: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Materials in Engineering Sciences: Compulsory
Bioprocess Engineering: Specialisation A - General Bioprocess Engineering: Elective Compulsory
Computer Science: Specialisation II. Mathematics and Engineering Science: Elective Compulsory
Data Science: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Elective Compulsory
Engineering Science: Core Qualification: Compulsory
Engineering Science: Core Qualification: Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Mechanical Engineering: Specialisation Theoretical Mechanical Engineering: Compulsory
Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course Core Studies: Elective Compulsory
Process Engineering: Specialisation Process Engineering: Elective Compulsory
Course L0417: Numerical Mathematics I
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sabine Le Borne
Language EN
Cycle WiSe
Content
  1. Finite precision arithmetic, error analysis, conditioning and stability
  2. Linear systems of equations: LU and Cholesky factorization, condition
  3. Interpolation: polynomial, spline and trigonometric interpolation
  4. Nonlinear equations: fixed point iteration, root finding algorithms, Newton's method
  5. Linear and nonlinear least squares problems: normal equations, Gram Schmidt and Householder orthogonalization, singular value decomposition, regularizatio, Gauss-Newton and Levenberg-Marquardt methods
  6. Eigenvalue problems: power iteration, inverse iteration, QR algorithm
  7. Numerical differentiation
  8. Numerical integration: Newton-Cotes rules, error estimates, Gauss quadrature, adaptive quadrature
Literature
  • Gander/Gander/Kwok: Scientific Computing: An introduction using Maple and MATLAB, Springer (2014)
  • Stoer/Bulirsch: Numerische Mathematik 1, Springer
  • Dahmen, Reusken: Numerik für Ingenieure und Naturwissenschaftler, Springer


Course L0418: Numerical Mathematics I
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sabine Le Borne, Dr. Jens-Peter Zemke
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0684: Heat Transfer

Courses
Title Typ Hrs/wk CP
Heat Transfer (L0458) Lecture 3 4
Heat Transfer (L0459) Recitation Section (large) 2 2
Module Responsible Dr. Andreas Moschallski
Admission Requirements None
Recommended Previous Knowledge Technical Thermodynamics I, II and Fluid Dynamics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students can

- explain the technical terms,

- classify the various physical processes of heat transfer in terms of conduction-based and radiation-based mechanisms,

- simplify and critically analyze complex heat transfer processes using models,

- methodically develop solutions to tasks.




Skills

The students are able to

- describe the physics of the different Heat Transfer mechanism,

- simplifywith models, calculate and evaluate complex Heat Transfer processes,

- critically question and answer statements on heat transfer,

- solve excersises self-consistent and in small groups.

Personal Competence
Social Competence

In lectures and exercises, the students can use many examples and experiments to discuss in small groups in a goal-oriented manner, develop a solution and present it. Within the exercises, the students can independently develop further questions and work out targeted solutions.


Autonomy

The students can check their level of knowledge by means of repetition questions at the beginning of the lectures and describe and discuss answers in exchange with the other students. In the exercises, the students work in small groups on the methods taught in the lectures in complex tasks and critically analyze the results in the auditorium.


Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Compulsory
Energy Systems: Technical Complementary Course Core Studies: Elective Compulsory
Integrated Building Technology: Core Qualification: Compulsory
Mechanical Engineering: Specialisation Energy Systems: Compulsory
Mechanical Engineering: Specialisation Theoretical Mechanical Engineering: Elective Compulsory
Course L0458: Heat Transfer
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Dr. Andreas Moschallski
Language DE
Cycle WiSe
Content

Dimensional analysis, Heat Conduction (steady and unsteady) , Convective Heat Transfer (natural convection, forced convection), Two-phase Heat Transfer (evaporation, condensation), Thermal Radiation, Heat Transfer on a thermodynamic view, thermotechnical devices, measures of temperature and heat flux


Literature

- Herwig, H.; Moschallski, A.: Wärmeübertragung, 4. Auflage, Springer Vieweg Verlag, Wiesbaden, 2019

- Herwig, H.: Wärmeübertragung von A-Z, Springer- Verlag, Berlin, Heidelberg, 2000

- Baehr, H.D.; Stephan, K.: Wärme- und Stoffübertragung, 2. Auflage, Springer Verlag, Berlin, Heidelberg, 1996

Course L0459: Heat Transfer
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Dr. Andreas Moschallski
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0725: Production Engineering

Courses
Title Typ Hrs/wk CP
Production Engineering I (L0608) Lecture 2 2
Production Engineering I (L0612) Recitation Section (large) 1 1
Production Engineering II (L0610) Lecture 2 2
Production Engineering II (L0611) Recitation Section (large) 1 1
Module Responsible Prof. Wolfgang Hintze
Admission Requirements None
Recommended Previous Knowledge

no course assessments required

internship recommended

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to ...

  • name basic criteria for the selection of manufacturing processes.
  • name the main groups of Manufacturing Technology.
  • name the application areas of different manufacturing processes.
  • name boundaries, advantages and disadvantages of the different manufacturing process.
  • describe elements, geometric properties and kinematic variables and requirements for tools, workpiece and process.
  • explain the essential models of manufacturing technology.


Skills

Students are able to...

  • select manufacturing processes in accordance with the requirements.
  • design manufacturing processes for simple tasks to meet the required tolerances of the component to be produced.
  • assess components in terms of their production-oriented construction.


Personal Competence
Social Competence

Students are able to ...

  • develop solutions in a production environment with qualified personnel at technical level and represent decisions.


Autonomy

Students are able to  ..

  • interpret independently the manufacturing process.
  • assess own strengths and weaknesses in general.
  • assess  their learning progress and define gaps to be improved.
  • assess possible consequences of their  actions.


Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Elective Compulsory
Digital Mechanical Engineering: Core Qualification: Compulsory
Engineering Science: Specialisation Mechanical Engineering: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering: Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory
Logistics and Mobility: Specialisation Production Management and Processes: Compulsory
Logistics and Mobility: Specialisation Engineering Science: Elective Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Compulsory
Course L0608: Production Engineering I
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Wolfgang Hintze
Language DE
Cycle WiSe
Content
  • Manufacturing Accuracy
  • Manufacturing Metrology
  • Measurement Errors and Uncertainties
  • Introduction to Forming
  • Massiv forming and Sheet Metal Forming
  • Introduction to Machining Technology
  • Geometrically defined machining (Turning, milling, drilling, broaching, planning)


Literature

Dubbel, Heinrich (Grote, Karl-Heinrich.; Feldhusen, Jörg.; Dietz, Peter,; Ziegmann, Gerhard,;)  Taschenbuch für den Maschinenbau : mit Tabellen. Berlin [u.a.] : Springer, 2007

Fritz, Alfred Herbert: Fertigungstechnik : mit 62 Tabellen. Berlin [u.a.] : Springer, 2004

Keferstein, Claus P (Dutschke, Wolfgang,;): Fertigungsmesstechnik : praxisorientierte Grundlagen, moderne Messverfahren. Wiesbaden : Teubner, 2008

Mohr, Richard: Statistik für Ingenieure und Naturwissenschaftler : Grundlagen und Anwendung statistischer Verfahren. Renningen : expert-Verl, 2008

Klocke, F., König, W.: Fertigungsverfahren Bd. 1 Drehen, Fäsen, Bohren. 8. Aufl., Springer (2008)

Klocke, Fritz (König, Wilfried,;): Umformen. Berlin [u.a.] : Springer, 2006

Paucksch, E.: Zerspantechnik, Vieweg-Verlag, 1996

Tönshoff, H.K.; Denkena, B., Spanen. Grundlagen, Springer-Verlag (2004)

Course L0612: Production Engineering I
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Wolfgang Hintze
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L0610: Production Engineering II
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Wolfgang Hintze, Prof. Claus Emmelmann
Language DE
Cycle SoSe
Content
  • Geometrically undefined machining (grinding, lapping, honing)
  • Introduction into erosion technology
  • Introduction into blastig processes
  • Introduction to the manufacturing process forming (Casting, Powder Metallurgy, Composites)
  • Fundamentals of Laser Technology
  • Process versions and Fundamentals of Laser Joining Technology
Literature

Klocke, F., König, W.: Fertigungsverfahren Bd. 2 Schleifen, Honen, Läppen, 4. Aufl., Springer (2005)

Klocke, F., König, W.: Fertigungsverfahren Bd. 3 Abtragen, Generieren und Lasermaterialbearbeitung. 4. Aufl., Springer (2007)

Spur, Günter (Stöferle, Theodor.;): Urformen. München [u.a.] : Hanser, 1981

Schatt, Werner (Wieters, Klaus-Peter,; Kieback, Bernd,;): Pulvermetallurgie : Technologien und Werkstoffe. Berlin [u.a.] : Springer, 2007


Course L0611: Production Engineering II
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Wolfgang Hintze, Prof. Claus Emmelmann
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0610: Electrical Machines and Actuators

Courses
Title Typ Hrs/wk CP
Electrical Machines and Actuators (L0293) Lecture 3 4
Electrical Machines and Actuators (L0294) Recitation Section (large) 2 2
Module Responsible Prof. Thorsten Kern
Admission Requirements None
Recommended Previous Knowledge

Basics of mathematics, in particular complexe numbers, integrals, differentials

Basics of electrical engineering and mechanical engineering

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can to draw and explain the basic principles of electric and magnetic fields. 

They can describe the function of the standard types of electric machines and present the corresponding equations and characteristic curves. For typically used drives they can explain the major parameters of the energy efficiency of the whole system from the power grid to the driven engine.

Skills

Students are able to calculate two-dimensional electric and magnetic fields in particular ferromagnetic circuits with air gap. For this they apply the usual methods of the design auf electric machines.

They can calulate the operational performance of electric machines from their given characteristic data and selected quantities and characteristic curves. They apply the usual equivalent circuits and graphical methods.


Personal Competence
Social Competence none
Autonomy

Students are able independently to calculate electric and magnatic fields for applications. They are able to analyse independently the operational performance of electric machines from the charactersitic data and theycan calculate thereof selected quantities and characteristic curves.


Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Subject theoretical and practical work
Examination duration and scale Design of four machines and actuators, review of design files
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Elective Compulsory
Digital Mechanical Engineering: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Elective Compulsory
Engineering Science: Specialisation Electrical Engineering: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory
Logistics and Mobility: Specialisation Engineering Science: Elective Compulsory
Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory
Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory
Mechanical Engineering: Core Qualification: Elective Compulsory
Mechatronics: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory
Course L0293: Electrical Machines and Actuators
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Thorsten Kern, Dennis Kähler
Language DE
Cycle SoSe
Content

Electric field: Coulomb´s law, flux (field) line, work, potential, capacitor, energy, force, capacitive actuators

Magnetic field: force, flux line, Ampere´s law, field at bounderies, flux, magnetic circuit, hysteresis, induction, self-induction, mutual inductance, transformer, electromagnetic actuators

Synchronous machines, construction and layout, equivalent single line diagrams, no-load and short-cuircuit characteristics, vector diagrams, motor and generator operation, stepper motors

DC-Machines: Construction and layout, torque generation mechanismen, torque vs speed characteristics, commutation,

Asynchronous Machines. Magnetic field, construction and layout, equivalent single line diagram, complex stator current diagram (Heylands´diagram), torque vs. speed characteristics, rotor layout (squirrel-cage vs. sliprings),

Drives with variable speed, inverter fed operation, special drives

Literature

Hermann Linse, Roland Fischer: "Elektrotechnik für Maschinenbauer", Vieweg-Verlag; Signatur der Bibliothek der TUHH: ETB 313

Ralf Kories, Heinz Schmitt-Walter: "Taschenbuch der Elektrotechnik"; Verlag Harri Deutsch; Signatur der Bibliothek der TUHH: ETB 122

"Grundlagen der Elektrotechnik" - anderer Autoren

Fachbücher "Elektrische Maschinen"

Course L0294: Electrical Machines and Actuators
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Thorsten Kern, Dennis Kähler
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1573: Modeling, Simulation and Optimization (EN)

Courses
Title Typ Hrs/wk CP
Modeling, Simulation and Optimization (EN) (L2446) Integrated Lecture 4 6
Module Responsible Prof. Benedikt Kriegesmann
Admission Requirements None
Recommended Previous Knowledge

Sound knowledge of engineering mathematics, engineering mechanics and fluid mechanics

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students will have an overview of various technical problems and the differential equations, which describe them. Students will gave an overview of different solution approaches and for which kind of problems they can be used for.

Skills

Students are able to solve different technical problems with the introduced discretization methods.

Personal Competence
Social Competence

The students are able to discuss problems and jointly develop solution strategies.

Autonomy

The students are able to develop solution strategies for complex problems self-consistent and critically analyse results.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Elective Compulsory
Engineering Science: Core Qualification: Compulsory
Mechanical Engineering: Specialisation Theoretical Mechanical Engineering: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L2446: Modeling, Simulation and Optimization (EN)
Typ Integrated Lecture
Hrs/wk 4
CP 6
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Lecturer Prof. Benedikt Kriegesmann, Prof. Thomas Rung, Prof. Alexander Düster, Prof. Robert Seifried
Language EN
Cycle SoSe
Content
  • Partial Differential Equations in technical problems
  • Overview of modelling approaches
  • Finite Approximation Methods - Finite Differences / Elements / Volumes
  • Introduction to the Discrete Element Method
  • Numerical methods for time dependent problems
  • Gradient-based optimization
Literature

Michael Schäfer, Computational Engineering - Introduction to Numerical Methods, Springer.

Module M1595: Machine Learning I

Courses
Title Typ Hrs/wk CP
Machine Learning I (L2432) Lecture 2 3
Machine Learning I (L2433) Recitation Section (small) 2 3
Module Responsible Prof. Nihat Ay
Admission Requirements None
Recommended Previous Knowledge Linear Algebra, Analysis, Basic Programming Course
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students know

  • general principles of machine learning learning: supervised/unsupervised learning, generative/descriptive learning, parametric/non-parametric learning
  • different learning methods: neural networks, support vector machines, clustering, dimensionality reduction, kernel methods
  • fundamentals of statistical learning theory
  • advanced techniques such as transfer learning, reinforcement learning, generative adversarial networks and adaptive control
Skills

The students can

  • apply machine learning methods to concrete problems
  • select and evaluate suitable methods for specific problems
  • evaluate the quality of a trained data-driven model
  • work with known software frameworks for machine learning
  • adapt the architecture and cost function of neural networks to specific problems
  • show the limits of machine learning methods
Personal Competence
Social Competence

Students can work on complex problems both independently and in teams. They can exchange ideas with each other and use their individual strengths to solve the problem.

Autonomy

Students are able to independently investigate a complex problem and assess which competencies are required to solve it. 

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 20 % Excercises
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Elective Compulsory
Computer Science: Specialisation I. Computer and Software Engineering: Elective Compulsory
Data Science: Core Qualification: Compulsory
Engineering Science: Specialisation Advanced Materials: Elective Compulsory
Engineering Science: Specialisation Mechanical Engineering: Elective Compulsory
Engineering Science: Specialisation Mechatronics: Elective Compulsory
Logistics and Mobility: Specialisation Information Technology: Elective Compulsory
Mechanical Engineering: Specialisation Theoretical Mechanical Engineering: Elective Compulsory
Technomathematics: Specialisation II. Informatics: Elective Compulsory
Technomathematics: Specialisation II. Informatics: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory
Course L2432: Machine Learning I
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Nihat Ay
Language DE/EN
Cycle SoSe
Content
  • History of neuroscience and machine learning (in particular, the age of deep learning)
  • McCulloch-Pitts neurons and binary Artificial Neural Networks
  • Boolean and threshold functions
  • Universality of McCulloch-Pitts neural networks
  • Learning and the perceptron convergence theorem
  • Support vector machines
  • Harmonic analysis of Boolean functions
  • Continuous Artificial Neural Networks
  • Kolmogorov’s superposition theorem
  • Universal approximation with continuous neural networks
  • Approximation error and the gradient decent method: the general idea
  • The stochastic gradient decent method (Robbins-Monro and Kiefer-Wolfowitz cases)
  • Multilayer networks and the backpropagation algorithm
  • Statistical Learning Theory
Literature
  • Martin Anthony and Peter L. Bartlett. Neural Network Learning: Theoretical Foundations. Cambridge University Press, 1999.
  • Martin Anthony. Discrete Mathematics of Neural Networks: Selected Topics. SIAM Monographs on Discrete Mathematics & Applications, 1987.
  • Mehryar Mohri, Afshin Rostamizadeh and Ameet Talwalkar. Foundations of Machine Learning, Second Edition. MIT Press, 2018.  
  • Christopher M. Bishop. Pattern Recognition and Machine Learning. Information Science and Statistics. Springer-Verlag, 2008.
  • Bernhard Schölkopf, Alexander Smola. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond. Adaptive Computation and Machine Learning series. MIT Press, Cambridge, MA, 2002.
  • Luc Devroye, László Györfi, Gábor Lugosi. A Probabilistic Theory of Pattern Recognition. Springer, 1996.
  • Vladimir Vapnik. The Nature of Statistical Learning Theory. Springer-Verlag: New York, Berlin, Heidelberg, 1995.




 

Course L2433: Machine Learning I
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Nihat Ay
Language DE/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1693: Computer Science for Engineers - Programming Concepts, Data Handling & Communication

Courses
Title Typ Hrs/wk CP
Computer Science for Engineers - Programming Concepts, Data Handling & Communication (L2689) Lecture 3 3
Computer Science for Engineers - Programming Concepts, Data Handling & Communication (L2690) Recitation Section (small) 2 3
Module Responsible Prof. Sibylle Fröschle
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
Skills


Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 10 % Attestation Testate finden semesterbegleitend statt.
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Renewable Energy: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Elective Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Systems: Elective Compulsory
Logistics and Mobility: Specialisation Information Technology: Compulsory
Mechatronics: Core Qualification: Compulsory
Process Engineering: Core Qualification: Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Compulsory
Course L2689: Computer Science for Engineers - Programming Concepts, Data Handling & Communication
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Sibylle Fröschle
Language DE
Cycle SoSe
Content
Literature

John V. Guttag: Introduction to Computation and Programming Using Python.
With Application to Understanding Data. 2nd Edition. The MIT Press, 2016.

Course L2690: Computer Science for Engineers - Programming Concepts, Data Handling & Communication
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sibylle Fröschle
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0854: Mathematics IV

Courses
Title Typ Hrs/wk CP
Differential Equations 2 (Partial Differential Equations) (L1043) Lecture 2 1
Differential Equations 2 (Partial Differential Equations) (L1044) Recitation Section (small) 1 1
Differential Equations 2 (Partial Differential Equations) (L1045) Recitation Section (large) 1 1
Complex Functions (L1038) Lecture 2 1
Complex Functions (L1041) Recitation Section (small) 1 1
Complex Functions (L1042) Recitation Section (large) 1 1
Module Responsible Prof. Anusch Taraz
Admission Requirements None
Recommended Previous Knowledge Mathematics I - III
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students can name the basic concepts in Mathematics IV. They are able to explain them using appropriate examples.
  • Students can discuss logical connections between these concepts.  They are capable of illustrating these connections with the help of examples.
  • They know proof strategies and can reproduce them.


Skills
  • Students can model problems in Mathematics IV with the help of the concepts studied in this course. Moreover, they are capable of solving them by applying established methods.
  • Students are able to discover and verify further logical connections between the concepts studied in the course.
  • For a given problem, the students can develop and execute a suitable approach, and are able to critically evaluate the results.


Personal Competence
Social Competence
  • Students are able to work together in teams. They are capable to use mathematics as a common language.
  • In doing so, they can communicate new concepts according to the needs of their cooperating partners. Moreover, they can design examples to check and deepen the understanding of their peers.


Autonomy
  • Students are capable of checking their understanding of complex concepts on their own. They can specify open questions precisely and know where to get help in solving them.
  • Students have developed sufficient persistence to be able to work for longer periods in a goal-oriented manner on hard problems.


Workload in Hours Independent Study Time 68, Study Time in Lecture 112
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 60 min (Complex Functions) + 60 min (Differential Equations 2)
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Naval Architecture: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Elective Compulsory
Electrical Engineering: Core Qualification: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Electrical Engineering: Compulsory
Computer Science in Engineering: Specialisation II. Mathematics & Engineering Science: Elective Compulsory
Mechanical Engineering: Specialisation Mechatronics: Compulsory
Mechanical Engineering: Specialisation Theoretical Mechanical Engineering: Elective Compulsory
Mechatronics: Core Qualification: Compulsory
Naval Architecture: Core Qualification: Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course Core Studies: Elective Compulsory
Course L1043: Differential Equations 2 (Partial Differential Equations)
Typ Lecture
Hrs/wk 2
CP 1
Workload in Hours Independent Study Time 2, Study Time in Lecture 28
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle SoSe
Content

Main features of the theory and numerical treatment of partial differential equations 

  • Examples of partial differential equations
  • First order quasilinear differential equations
  • Normal forms of second order differential equations
  • Harmonic functions and maximum principle
  • Maximum principle for the heat equation
  • Wave equation
  • Liouville's formula
  • Special functions
  • Difference methods
  • Finite elements
Literature
  • http://www.math.uni-hamburg.de/teaching/export/tuhh/index.html


Course L1044: Differential Equations 2 (Partial Differential Equations)
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L1045: Differential Equations 2 (Partial Differential Equations)
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L1038: Complex Functions
Typ Lecture
Hrs/wk 2
CP 1
Workload in Hours Independent Study Time 2, Study Time in Lecture 28
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle SoSe
Content

Main features of complex analysis 

  • Functions of one complex variable
  • Complex differentiation
  • Conformal mappings
  • Complex integration
  • Cauchy's integral theorem
  • Cauchy's integral formula
  • Taylor and Laurent series expansion
  • Singularities and residuals
  • Integral transformations: Fourier and Laplace transformation
Literature
  • http://www.math.uni-hamburg.de/teaching/export/tuhh/index.html


Course L1041: Complex Functions
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L1042: Complex Functions
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Specialization Biomedical Engineering

The requirements into the health system increase continuously due to the aging population and the increasing expectations for the quality in life. A major aspect in this development is medical technology. This ranges from individual implants and prostheses to complex imaging and therapy equipment and its operation. Medical specialists and well educated engineers will have to cooperate closer and closer to understand the requirements from either side and develop solutions together. In order to cooperate, the engineers need in addition to their core engineering skills, a basic understanding of the “other” fields, which are Medicine and Economy.  This enables them to understand operational planning as well as research and development in this highly interdisciplinary area. The program is aimed towards allowing the students to achieve these qualifications.

Module M0933: Fundamentals of Materials Science

Courses
Title Typ Hrs/wk CP
Fundamentals of Materials Science I (L1085) Lecture 2 2
Fundamentals of Materials Science II (Advanced Ceramic Materials, Polymers and Composites) (L0506) Lecture 2 2
Physical and Chemical Basics of Materials Science (L1095) Lecture 2 2
Module Responsible Prof. Jörg Weißmüller
Admission Requirements None
Recommended Previous Knowledge

Highschool-level physics, chemistry und mathematics


Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students have acquired a fundamental knowledge on metals, ceramics and polymers and can describe this knowledge comprehensively. Fundamental knowledge here means specifically the issues of atomic structure, microstructure, phase diagrams, phase transformations, corrosion and mechanical properties. The students know about the key aspects of characterization methods for materials and can identify relevant approaches for characterizing specific properties. They are able to trace materials phenomena back to the underlying physical and chemical laws of nature.



Skills

The students are able to trace materials phenomena back to the underlying physical and chemical laws of nature. Materials phenomena here refers to mechanical properties such as strength, ductility, and stiffness, chemical properties such as corrosion resistance, and to phase transformations such as solidification, precipitation, or melting. The students can explain the relation between processing conditions and the materials microstructure, and they can account for the impact of microstructure on the material’s behavior.


Personal Competence
Social Competence -
Autonomy -
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 180 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Naval Architecture: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
Data Science: Specialisation II. Application: Elective Compulsory
Digital Mechanical Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory
Logistics and Mobility: Specialisation Engineering Science: Elective Compulsory
Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Naval Architecture: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory
Course L1085: Fundamentals of Materials Science I
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Jörg Weißmüller
Language DE
Cycle WiSe
Content
Literature

Vorlesungsskript

W.D. Callister: Materials Science and Engineering - An Introduction. 5th ed., John Wiley & Sons, Inc., New York, 2000, ISBN 0-471-32013-7

P. Haasen: Physikalische Metallkunde. Springer 1994


Course L0506: Fundamentals of Materials Science II (Advanced Ceramic Materials, Polymers and Composites)
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Bodo Fiedler, Prof. Gerold Schneider
Language DE
Cycle SoSe
Content Chemische Bindungen und Aufbau von Festkörpern; Kristallaufbau; Werkstoffprüfung; Schweißbarkeit; Herstellung von Keramiken; Aufbau und Eigenschaften der Keramik; Herstellung, Aufbau und Eigenschaften von Gläsern; Polymerwerkstoffe, Makromolekularer Aufbau; Struktur und Eigenschaften der Polymere; Polymerverarbeitung; Verbundwerkstoffe     
Literature

Vorlesungsskript

W.D. Callister: Materials Science and Engineering -An Introduction-5th ed., John Wiley & Sons, Inc., New York, 2000, ISBN 0-471-32013-7

Course L1095: Physical and Chemical Basics of Materials Science
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Gregor Vonbun-Feldbauer
Language DE
Cycle WiSe
Content
  • Motivation: „Atoms in Mechanical Engineering?“
  • Basics: Force and Energy
  • The electromagnetic Interaction
  • „Detour“: Mathematics (complex e-funktion etc.)
  • The atom: Bohr's model of the atom
  • Chemical bounds
  • The multi part problem: Solutions and strategies
  • Descriptions of using statistical thermodynamics
  • Elastic theory of atoms
  • Consequences of atomar properties on makroskopic Properties: Discussion of examples (metals, semiconductors, hybrid systems)
Literature

Für den Elektromagnetismus:

  • Bergmann-Schäfer: „Lehrbuch der Experimentalphysik“, Band 2: „Elektromagnetismus“, de Gruyter

Für die Atomphysik:

  • Haken, Wolf: „Atom- und Quantenphysik“, Springer

Für die Materialphysik und Elastizität:

  • Hornbogen, Warlimont: „Metallkunde“, Springer


Module M0598: Mechanical Engineering: Design

Courses
Title Typ Hrs/wk CP
Embodiment Design and 3D-CAD Introduction and Practical Training (L0268) Lecture 2 1
Mechanical Design Project I (L0695) Project-/problem-based Learning 3 2
Mechanical Design Project II (L0592) Project-/problem-based Learning 3 2
Team Project Design Methodology (L0267) Project-/problem-based Learning 2 1
Module Responsible Prof. Dieter Krause
Admission Requirements None
Recommended Previous Knowledge
  • Fundamentals of Mechanical Engineering Design
  • Mechanics
  • Fundamentals of Materials Science
  • Production Engineering
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

After passing the module, students are able to:

  • explain design guidelines for machinery parts e.g. considering load situation, materials and manufacturing requirements,
  • describe basics of 3D CAD,
  • explain basics methods of engineering designing.
Skills

After passing the module, students are able to:

  • independently create sketches, technical drawings and documentations e.g. using 3D CAD,
  • design components based on design guidelines autonomously,
  • dimension (calculate) used components,
  • use methods to design and solve engineering design tasks systamtically and solution-oriented,
  • apply creativity techniques in teams.
Personal Competence
Social Competence

After passing the module, students are able to:

  • develop and evaluate solutions in groups including making and documenting decisions,
  • moderate the use of scientific methods,
  • present and discuss solutions and technical drawings within groups,
  • reflect the own results in the work groups of the course.
Autonomy

Students are able

  •  to estimate their level of knowledge using  activating methods within the lectures (e.g. with clickers),
  • To solve engineering design tasks systematically.
Workload in Hours Independent Study Time 40, Study Time in Lecture 140
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes None Written elaboration Teamprojekt Konstruktionsmethodik
Yes None Written elaboration Konstruktionsprojekt 1
Yes None Written elaboration Konstruktionsprojekt 2
Yes None Written elaboration 3D-CAD-Praktikum
Examination Written exam
Examination duration and scale 180
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
Digital Mechanical Engineering: Core Qualification: Compulsory
Engineering Science: Specialisation Mechatronics: Compulsory
Engineering Science: Specialisation Mechanical Engineering: Compulsory
Engineering Science: Specialisation Biomedical Engineering: Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Naval Architecture: Core Qualification: Compulsory
Course L0268: Embodiment Design and 3D-CAD Introduction and Practical Training
Typ Lecture
Hrs/wk 2
CP 1
Workload in Hours Independent Study Time 2, Study Time in Lecture 28
Lecturer Prof. Dieter Krause
Language DE
Cycle WiSe
Content
  • Basics of 3D CAD technology
  • Practical course to apply a 3D CAD system
    • Introduction to the system
    • Sketching and creation of components
    • Creation of assemblies
    • Deriving technical drawings
Literature
  • CAx für Ingenieure eine praxisbezogene Einführung; Vajna, S., Weber, C., Bley, H., Zeman, K.; Springer-Verlag, aktuelle Auflage.
  • Handbuch Konstruktion; Rieg, F., Steinhilper, R.; Hanser; aktuelle Auflage.
  • Dubbel, Taschenbuch für den Maschinenbau; Grote, K.-H., Feldhusen, J.(Hrsg.); Springer-Verlag, aktuelle Auflage.
  • Technisches Zeichnen: Grundlagen, Normen, Beispiele, Darstellende Geometrie, Hoischen, H; Hesser, W; Cornelsen, aktuelle Auflage.
  • Maschinenelemente, Band I-III; Niemann, G., Springer-Verlag, aktuelle Auflage.
  • Maschinen- und Konstruktionselemente; Steinhilper, W., Röper, R., Springer Verlag, aktuelle Auflage.
  • Konstruktionslehre, Pahl, G.; Beitz, W., Springer-Verlag, aktuelle Auflage.
  • Maschinenelemente 1-2; Schlecht, B., Pearson Verlag, aktuelle Auflage.
  • Maschinenelemente - Gestaltung, Berechnung, Anwendung; Haberhauer, H., Bodenstein, F., Springer-Verlag, aktuelle Auflage.
  • Roloff/Matek Maschinenelemente; Wittel, H., Muhs, D., Jannasch, D., Voßiek, J., Springer Vieweg, aktuelle Auflage.
Course L0695: Mechanical Design Project I
Typ Project-/problem-based Learning
Hrs/wk 3
CP 2
Workload in Hours Independent Study Time 18, Study Time in Lecture 42
Lecturer Prof. Thorsten Schüppstuhl
Language DE
Cycle WiSe
Content
  • Create a technical documentation of an existing mechanical model
  • Consolidation of the following aspects of technical drawings:
    • Presentation of technical objects and standardized parts
      (bearings, seals, shaft-hub joints, detachable connections, springs, axes and shafts)
    • Sectional views
    • Dimensioning
    • Tolerances and surface specifications
    • Creating a tally sheet


Literature
  1. Hoischen, H.; Hesser, W.: Technisches Zeichnen. Grundlagen, Normen, Beispiele, darstellende Geometrie, 33. Auflage. Berlin 2011.
  2. Labisch, S.; Weber, C.: Technisches Zeichnen. Selbstständig lernen und effektiv üben, 4. Auflage. Wiesbaden 2008.
  3. Fischer, U.: Tabellenbuch Metall, 43. Auflage. Haan-Gruiten 2005.


Course L0592: Mechanical Design Project II
Typ Project-/problem-based Learning
Hrs/wk 3
CP 2
Workload in Hours Independent Study Time 18, Study Time in Lecture 42
Lecturer Prof. Wolfgang Hintze
Language DE
Cycle SoSe
Content
  • Generation of sketches for functions and sub-functions
  • Approximately calculation of shafts
  • Dimension of bearings, screw connections and weld
  • Generation of engineering drawings (assembly drawings, manufacturing drawing)
Literature

Dubbel, Taschenbuch für Maschinenbau, Beitz, W., Küttner, K.-H, Springer-Verlag.

Maschinenelemente, Band I - III, Niemann, G., Springer-Verlag.

Maschinen- und Konstruktionselemente, Steinhilper, W., Röper, R., Springer-Verlag.

Einführung in die DIN-Normen, Klein, M., Teubner-Verlag.

Konstruktionslehre, Pahl, G., Beitz, W., Springer-Verlag.

Course L0267: Team Project Design Methodology
Typ Project-/problem-based Learning
Hrs/wk 2
CP 1
Workload in Hours Independent Study Time 2, Study Time in Lecture 28
Lecturer Prof. Dieter Krause
Language DE
Cycle SoSe
Content
  • Introduction to engineering designing methodology
  • Team Project Design Methodology
    • Creating requirement lists
    • Problem formulation
    • Creating functional structures
    • Finding solutions
    • Evaluation of the found concepts
    • Documentation of the taken methodological steps and the concepts using presentation slides
Literature
  • Dubbel, Taschenbuch für den Maschinenbau; Grote, K.-H., Feldhusen, J.(Hrsg.); Springer-Verlag, aktuelle Auflage.
  • Maschinenelemente, Band I-III; Niemann, G., Springer-Verlag, aktuelle Auflage.
  •  Maschinen- und Konstruktionselemente; Steinhilper, W., Röper, R., Springer Verlag, aktuelle Auflage.
  •  Einführung in die DIN-Normen; Klein, M., Teubner-Verlag.
  •  Konstruktionslehre, Pahl, G.; Beitz, W., Springer-Verlag, aktuelle Auflage.
  •  Maschinenelemente 1-2; Schlecht, B., Pearson Verlag, aktuelle Auflage.
  •  Maschinenelemente - Gestaltung, Berechnung, Anwendung; Haberhauer, H., Bodenstein, F., Springer-Verlag, aktuelle Auflage.
  • Roloff/Matek Maschinenelemente; Wittel, H., Muhs, D., Jannasch, D., Voßiek, J., Springer Vieweg, aktuelle Auflage.
  • Sowie weitere Bücher zu speziellen Themen

Module M0680: Fluid Dynamics

Courses
Title Typ Hrs/wk CP
Fluid Mechanics (L0454) Lecture 3 4
Fluid Mechanics (L0455) Recitation Section (large) 2 2
Module Responsible Prof. Thomas Rung
Admission Requirements None
Recommended Previous Knowledge

Students should have sound knowledge of engineering mathematics, engineering mechanics and thermodynamics.

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students will have the required sound knowledge to explain the general principles of fluid engineering and physics of fluids. They are familiar with the similarities and differences between fluid mechanics and neighbouring subjects (thermodynamics, structural mechanics). Students can scientifically outline the rationale of flow physics using mathematical models. They are familiar with most performance analysis methods -in particular their realms and limitations- and the prediction of fluid engineering devices.

Skills

Students are able to apply fluid-engineering principles and flow-physics models for the analysis of technical systems. They are able to explain physical relationships used to design fluid engineering devices. The lecture enables the student to carry out all necessary theoretical calculations for the fluid dynamic design of engineering devices on a scientific level.

Personal Competence
Social Competence

The students are able to discuss problems, present the results of their own analysis, and jointly develop solution strategies that address given technical goals.


Autonomy

The students are able to develop solution strategies for complex problems self-consistent. They are able to critically analyse own results as well as external data with regards to the plausibility and reliability.


Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 180 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Naval Architecture: Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Naval Architecture: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0454: Fluid Mechanics
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Thomas Rung
Language DE/EN
Cycle SoSe
Content
  • continuum physics definition of fluids, difference to solids/structures and material properties of fluids
  • dimensional analysis and similitude
  • fluid forces and fluid statics
  • transport and conservation of mass, momentum & energy 
  • fluid kinematics
  • technically relevant flow models for incompressible fluids
    • control volume & stream tube analysis
    • vortical flow models
    • potential flows
    • boundary layer flows
    • different types of conservation equations and their realm
      (Navier-Stokes/Euler/Bernoulli equations)
    • analytical solutions for Navier-Stokes systems
  • Analysis of internal flows (channels, pipes, open channels) and external flows, fundamentals of wing aerodynamics
  • turbulent flows
  • fundamentals of gas dynamics (1D compressible flows)
Literature
  • the course primarily refers to / das Modul stütz sich bevorzugt auf :
    Munson, B.R.; Rothmayer, A.P.; Okiishi, T.H.; Huebsch, W.W.: Fundamentals of Fluid Mechanics, John Wiley & Sons.

  • Spurk, J.; Aksel, N.: Strömungslehre, Springer.
  • Schade, H.; Kunz, E., Kameier, F.; Paschereit, C.O.: Strömungslehere, De Gruyter.
  • Herwig, H.: Strömungsmechanik, Springer.
  • Herwig, H.: Strömungsmechanik von A-Z, Vieweg.

Course L0455: Fluid Mechanics
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Thomas Rung
Language DE/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1277: MED I: Introduction to Anatomy

Courses
Title Typ Hrs/wk CP
Introduction to Anatomy (L0384) Lecture 2 3
Module Responsible Prof. Udo Schumacher
Admission Requirements None
Recommended Previous Knowledge

Students can listen to the lectures without any prior knowledge. Basic school knowledge of biology, chemistry / biochemistry, physics and Latin can be useful.

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The lectures are about microscopic anatomy, describing the microscopic structure of tissues and organs, and about macroscopic anatomy which is about organs and organ systems. The lectures also contain an introduction to cell biology, human development and to the central nervous system. The fundamentals of radiologic imaging are described as well, using projectional x-ray and cross-sectional images. The Latin terms are introduced.

Skills

At the end of the lecture series the students are able to describe the microscopic as well as the macroscopic assembly and functions of the human body. The Latin terms are the prerequisite to understand medical literature. This knowledge is needed to understand und further develop medical devices.

These insights in human anatomy are the fundamentals to explain the role of structure and function for the development of common diseases and their impact on the human body.


Personal Competence
Social Competence

The students can participate in current discussions in biomedical research and medicine on a professional level. The Latin terms are prerequisite for communication with physicians on a professional level.


Autonomy

The lectures are an introduction to the basics of anatomy and should encourage students to improve their knowledge by themselves. Advice is given as to which further literature is suitable for this purpose. Likewise, the lecture series encourages students to recognize and think critically about biomedical problems.


Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Credit points 3
Course achievement None
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
Data Science: Specialisation II. Application: Elective Compulsory
Electrical Engineering: Specialisation Medical Technology: Elective Compulsory
Engineering Science: Specialisation Biomedical Engineering: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Compulsory
Mechanical Engineering: Specialisation Biomechanics: Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0384: Introduction to Anatomy
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Tobias Lange
Language DE
Cycle SoSe
Content

General Anatomy

1st week:             The Eucaryote Cell

2nd week:             The Tissues

3rd week:             Cell Cycle, Basics in Development

4th week:             Musculoskeletal System

5th week:             Cardiovascular System

6th week:             Respiratory System   

7th week:             Genito-urinary System

8th week:             Immune system

9th week:             Digestive System I

10th week:           Digestive System II

11th week:           Endocrine System

12th week:           Nervous System

13th week:           Exam



Literature

Adolf Faller/Michael Schünke, Der Körper des Menschen, 17. Auflage, Thieme Verlag Stuttgart, 2016

Module M1278: MED I: Introduction to Radiology and Radiation Therapy

Courses
Title Typ Hrs/wk CP
Introduction to Radiology and Radiation Therapy (L0383) Lecture 2 3
Module Responsible Prof. Ulrich Carl
Admission Requirements None
Recommended Previous Knowledge None
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge Therapy

The students can distinguish different types of currently used equipment with respect to its use in radiation therapy.

The students can explain treatment plans used in radiation therapy in interdisciplinary contexts (e.g. surgery, internal medicine).

The students can describe the patients' passage from their initial admittance through to follow-up care.

Diagnostics

The students can illustrate the technical base concepts of projection radiography, including angiography and mammography, as well as sectional imaging techniques (CT, MRT, US).

The students can explain the diagnostic as well as therapeutic use of imaging techniques, as well as the technical basis for those techniques.

The students can choose the right treatment method depending on the patient's clinical history and needs.

The student can explain the influence of technical errors on the imaging techniques.

The student can draw the right conclusions based on the images' diagnostic findings or the error protocol.

Skills Therapy

The students can distinguish curative and palliative situations and motivate why they came to that conclusion.

The students can develop adequate therapy concepts and relate it to the radiation biological aspects.

The students can use the therapeutic principle (effects vs adverse effects)

The students can distinguish different kinds of radiation, can choose the best one depending on the situation (location of the tumor) and choose the energy needed in that situation (irradiation planning).

The student can assess what an individual psychosocial service should look like (e.g. follow-up treatment, sports, social help groups, self-help groups, social services, psycho-oncology).

Diagnostics

The students can suggest solutions for repairs of imaging instrumentation after having done error analyses.

The students can classify results of imaging techniques according to different groups of diseases based on their knowledge of anatomy, pathology and pathophysiology.

Personal Competence
Social Competence The students can assess the special social situation of tumor patients and interact with them in a professional way.

The students are aware of the special, often fear-dominated behavior of sick people caused by diagnostic and therapeutic measures and can meet them appropriately.

Autonomy The students can apply their new knowledge and skills to a concrete therapy case.

The students can introduce younger students to the clinical daily routine.

The students are able to access anatomical knowledge by themselves, can participate competently in conversations on the topic and acquire the relevant knowledge themselves.

Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Credit points 3
Course achievement None
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
Data Science: Specialisation II. Application: Elective Compulsory
Electrical Engineering: Specialisation Medical Technology: Elective Compulsory
Engineering Science: Specialisation Biomedical Engineering: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Compulsory
Mechanical Engineering: Specialisation Biomechanics: Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0383: Introduction to Radiology and Radiation Therapy
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Ulrich Carl, Prof. Thomas Vestring
Language DE
Cycle SoSe
Content

The students will be given an understanding of the technological possibilities in the field of medical imaging, interventional radiology and radiation therapy/radiation oncology. It is assumed, that students in the beginning of the course have heard the word “X-ray” at best. It will be distinguished between the two arms of diagnostic (Prof. Dr. med. Thomas Vestring) and therapeutic (Prof. Dr. med. Ulrich Carl) use of X-rays. Both arms depend on special big units, which determine a predefined sequence in their respective departments



Literature
  • "Technik der medizinischen Radiologie"  von T. + J. Laubenberg –

    7. Auflage – Deutscher Ärzteverlag –  erschienen 1999

  • "Klinische Strahlenbiologie" von Th. Herrmann, M. Baumann und W. Dörr –

    4. Auflage - Verlag Urban & Fischer –  erschienen 02.03.2006

    ISBN: 978-3-437-23960-1

  • "Strahlentherapie und Onkologie für MTA-R" von R. Sauer –

             5. Auflage 2003 - Verlag Urban & Schwarzenberg – erschienen 08.12.2009

             ISBN: 978-3-437-47501-6

  • "Taschenatlas der Physiologie" von S. Silbernagel und A. Despopoulus‑                

    8. Auflage – Georg Thieme Verlag - erschienen 19.09.2012

    ISBN: 978-3-13-567708-8

  • "Der Körper des Menschen " von A. Faller  u. M. Schünke -

    16. Auflage 2004 – Georg Thieme Verlag –  erschienen 18.07.2012

    ISBN: 978-3-13-329716-5

  • „Praxismanual Strahlentherapie“ von Stöver / Feyer –

    1. Auflage - Springer-Verlag GmbH –  erschienen 02.06.2000



Module M1805: Computational Mechanics

Courses
Title Typ Hrs/wk CP
Computational Mechanics (Exercises) (L1138) Recitation Section (small) 2 2
Computational Multibody Dynamics (L1137) Integrated Lecture 2 2
Computational Stuctural Mechanics (L2475) Integrated Lecture 2 2
Module Responsible Prof. Robert Seifried
Admission Requirements None
Recommended Previous Knowledge

Mathematics I-III and Engineering Mechanics I-III

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students can

  • describe the axiomatic procedure used in mechanical contexts;
  • explain important steps in model design;
  • present technical knowledge.
Skills

The students can

  • explain the important elements of mathematical / mechanical analysis and model formation, and apply it to the context of their own problems;
  • apply basic methods from numerical mechanics to engineering problems;
  • estimate the reach and boundaries of the methods and extend them to be applicable to wider problem sets.
Personal Competence
Social Competence

The students can work in groups and support each other to overcome difficulties.

Autonomy

Students are capable of determining their own strengths and weaknesses and to organize their time and learning based on those.

Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Naval Architecture: Compulsory
Energy Systems: Technical Complementary Course Core Studies: Elective Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Naval Architecture: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course Core Studies: Elective Compulsory
Course L1138: Computational Mechanics (Exercises)
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Robert Seifried, Prof. Christian Cyron
Language DE
Cycle SoSe
Content
Literature K. Magnus, H.H. Müller-Slany: Grundlagen der Technischen Mechanik. 7. Auflage, Teubner (2009).
D. Gross, W. Hauger, J. Schröder, W. Wall: Technische Mechanik 1-4. 11. Auflage, Springer (2011).
Course L1137: Computational Multibody Dynamics
Typ Integrated Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Robert Seifried
Language DE
Cycle SoSe
Content
  • Linear versus nonlinear vibration
  • Numerical methods for time integration
  • Concepts from analytical mechanics
  • Spatial multibody systems
  • Linearization of multibody systems
  • Vibrations with multiple degrees of freedom: free, damped, forced, modal  transformation
  • Impacts
  • Introduction to Matlab
Literature

K. Magnus, H.H. Müller-Slany: Grundlagen der Technischen Mechanik. 7. Auflage, Teubner (2009). 
D. Gross, W. Hauger, J. Schröder, W. Wall: Technische Mechanik 1-4. 11. Auflage, Springer (2011).

W. Schiehlen, P. Eberhard: Technische Dynamik, Springer (2012).


Course L2475: Computational Stuctural Mechanics
Typ Integrated Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Christian Cyron
Language DE
Cycle SoSe
Content

The lecture Computational Structural Mechanics extends the content of the lecture Engineering Mechanic II. It bridges the gap between the manual calculation of mechanical stress and deformation in systems with a particularly simple geometry and the efficent computer-based computation of general mechanical systems:

  • Basics of linear continuum mechanics
  • Planar structures: plate, membrane, slab
  • Linientragwerke: beam, cable, truss
  • Weak form and Galerkin's method
  • Finite element method: theory and application
  • Principles of mechanics: principle of virtual work, virtual displacements, virtual forces
Literature Gross, Hauger, Wriggers, "Technische Mechanik 4", Springer

Module M0662: Numerical Mathematics I

Courses
Title Typ Hrs/wk CP
Numerical Mathematics I (L0417) Lecture 2 3
Numerical Mathematics I (L0418) Recitation Section (small) 2 3
Module Responsible Prof. Sabine Le Borne
Admission Requirements None
Recommended Previous Knowledge
  • Mathematik I + II for Engineering Students (german or english) or Analysis & Linear Algebra I + II for Technomathematicians
  • basic MATLAB/Python knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to

  • name numerical methods for interpolation, integration, least squares problems, eigenvalue problems, nonlinear root finding problems and to explain their core ideas,
  • repeat convergence statements for the numerical methods,
  • explain aspects for the practical execution of numerical methods with respect to computational and storage complexitx.


Skills

Students are able to

  • implement, apply and compare numerical methods using MATLAB/Python,
  • justify the convergence behaviour of numerical methods with respect to the problem and solution algorithm,
  • select and execute a suitable solution approach for a given problem.
Personal Competence
Social Competence

Students are able to

  • work together in heterogeneously composed teams (i.e., teams from different study programs and background knowledge), explain theoretical foundations and support each other with practical aspects regarding the implementation of algorithms.
Autonomy

Students are capable

  • to assess whether the supporting theoretical and practical excercises are better solved individually or in a team,
  • to assess their individual progess and, if necessary, to ask questions and seek help.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Computer Science: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Materials in Engineering Sciences: Compulsory
Bioprocess Engineering: Specialisation A - General Bioprocess Engineering: Elective Compulsory
Computer Science: Specialisation II. Mathematics and Engineering Science: Elective Compulsory
Data Science: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Elective Compulsory
Engineering Science: Core Qualification: Compulsory
Engineering Science: Core Qualification: Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Mechanical Engineering: Specialisation Theoretical Mechanical Engineering: Compulsory
Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course Core Studies: Elective Compulsory
Process Engineering: Specialisation Process Engineering: Elective Compulsory
Course L0417: Numerical Mathematics I
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sabine Le Borne
Language EN
Cycle WiSe
Content
  1. Finite precision arithmetic, error analysis, conditioning and stability
  2. Linear systems of equations: LU and Cholesky factorization, condition
  3. Interpolation: polynomial, spline and trigonometric interpolation
  4. Nonlinear equations: fixed point iteration, root finding algorithms, Newton's method
  5. Linear and nonlinear least squares problems: normal equations, Gram Schmidt and Householder orthogonalization, singular value decomposition, regularizatio, Gauss-Newton and Levenberg-Marquardt methods
  6. Eigenvalue problems: power iteration, inverse iteration, QR algorithm
  7. Numerical differentiation
  8. Numerical integration: Newton-Cotes rules, error estimates, Gauss quadrature, adaptive quadrature
Literature
  • Gander/Gander/Kwok: Scientific Computing: An introduction using Maple and MATLAB, Springer (2014)
  • Stoer/Bulirsch: Numerische Mathematik 1, Springer
  • Dahmen, Reusken: Numerik für Ingenieure und Naturwissenschaftler, Springer


Course L0418: Numerical Mathematics I
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sabine Le Borne, Dr. Jens-Peter Zemke
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0684: Heat Transfer

Courses
Title Typ Hrs/wk CP
Heat Transfer (L0458) Lecture 3 4
Heat Transfer (L0459) Recitation Section (large) 2 2
Module Responsible Dr. Andreas Moschallski
Admission Requirements None
Recommended Previous Knowledge Technical Thermodynamics I, II and Fluid Dynamics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students can

- explain the technical terms,

- classify the various physical processes of heat transfer in terms of conduction-based and radiation-based mechanisms,

- simplify and critically analyze complex heat transfer processes using models,

- methodically develop solutions to tasks.




Skills

The students are able to

- describe the physics of the different Heat Transfer mechanism,

- simplifywith models, calculate and evaluate complex Heat Transfer processes,

- critically question and answer statements on heat transfer,

- solve excersises self-consistent and in small groups.

Personal Competence
Social Competence

In lectures and exercises, the students can use many examples and experiments to discuss in small groups in a goal-oriented manner, develop a solution and present it. Within the exercises, the students can independently develop further questions and work out targeted solutions.


Autonomy

The students can check their level of knowledge by means of repetition questions at the beginning of the lectures and describe and discuss answers in exchange with the other students. In the exercises, the students work in small groups on the methods taught in the lectures in complex tasks and critically analyze the results in the auditorium.


Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Compulsory
Energy Systems: Technical Complementary Course Core Studies: Elective Compulsory
Integrated Building Technology: Core Qualification: Compulsory
Mechanical Engineering: Specialisation Energy Systems: Compulsory
Mechanical Engineering: Specialisation Theoretical Mechanical Engineering: Elective Compulsory
Course L0458: Heat Transfer
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Dr. Andreas Moschallski
Language DE
Cycle WiSe
Content

Dimensional analysis, Heat Conduction (steady and unsteady) , Convective Heat Transfer (natural convection, forced convection), Two-phase Heat Transfer (evaporation, condensation), Thermal Radiation, Heat Transfer on a thermodynamic view, thermotechnical devices, measures of temperature and heat flux


Literature

- Herwig, H.; Moschallski, A.: Wärmeübertragung, 4. Auflage, Springer Vieweg Verlag, Wiesbaden, 2019

- Herwig, H.: Wärmeübertragung von A-Z, Springer- Verlag, Berlin, Heidelberg, 2000

- Baehr, H.D.; Stephan, K.: Wärme- und Stoffübertragung, 2. Auflage, Springer Verlag, Berlin, Heidelberg, 1996

Course L0459: Heat Transfer
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Dr. Andreas Moschallski
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0956: Measurement Technology for Mechanical Engineers

Courses
Title Typ Hrs/wk CP
Practical Course: Measurement and Control Systems (L1119) Practical Course 2 2
Measurement Technology for Mechanical Engineering (L1116) Lecture 2 3
Measurement Technology for Mechanical Engineering (L1118) Recitation Section (large) 1 1
Module Responsible Prof. Thorsten Kern
Admission Requirements None
Recommended Previous Knowledge

Basic knowledge of physics, chemistry and electrical engineering

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to name the most important fundmentals of the Measurement Technology (Quantities and Units, Uncertainty, Calibration,  Static and Dynamic Properties of Sensors and Systems).

They can outline the most important measuring methods for different kinds of quantities to be maesured (Electrical Quantities, Temperature, mechanical quantities,  Flow, Time, Frequency).

They can describe important methods of chemical Analysis (Gas Sensors, Spectroscopy, Gas Chromatography)


Skills

Students can select suitable measuring methods to given problems and can use refering measurement devices in practice.

The students are able to orally explain issues in the subject area of measurement technology and solution approaches as well as place the issues into the right context and application area.

Personal Competence
Social Competence

Students can arrive at work results in groups and document them in a common report.


Autonomy

Students are able to familiarize themselves with new measurement technologies.

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes None Subject theoretical and practical work
Examination Subject theoretical and practical work
Examination duration and scale 105 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Elective Compulsory
Digital Mechanical Engineering: Core Qualification: Compulsory
Energy and Environmental Engineering: Core Qualification: Compulsory
Engineering Science: Specialisation Mechatronics: Compulsory
Engineering Science: Specialisation Mechanical Engineering: Compulsory
Engineering Science: Specialisation Biomedical Engineering: Elective Compulsory
Engineering Science: Specialisation Advanced Materials: Elective Compulsory
General Engineering Science (English program, 7 semester): Specialisation Mechatronics: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Elective Compulsory
Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory
Course L1119: Practical Course: Measurement and Control Systems
Typ Practical Course
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Thorsten Kern
Language DE
Cycle WiSe/SoSe
Content

Experiment 1: Emission and immission measurement of gaseous pollutants: different technologies to determine different gaseous pollutants in automotive exhaust are used.

Experiment 2: Simulation and measurement of asynchrone engine and rotary pump: the dynamic behaviour of e pump engine will be investigated. The starting will be simulated on a PC and compared with measurement.

Experiment 3: Michelson interferometer and fiber optic: fundamental optical phenonema will be understood and applications with Michelson interferometer and optical fibers demonstrated.

Experiment 4:Identification of the parameters of a control system and optimal control parameters

Literature

Versuch 1:

  • Leith, W.: Die Analyse der Luft und ihrer Verunreinigung in der freien Atmosphäre und am Arbeitsplatz. 2. Aufl., Wissenschaftliche Verlagsgesellschaft, Stuttgart, 1974
  • Birkle, M.: Meßtechnik für den Immissionsschutz, Messen der gas- und partikelförmigen Luftverunreinigungen. R. Oldenburg Verlag, München-Wien, 1979
  • Luftbericht 83/84, Freie und Hansestadt Hamburg, Behörde für Bezirksangelegenheiten, Naturschutz und Umweltgestaltung
  • Gebrauchs- und Bedienungsanweisungen
  • VDI-Handbuch Reinhaltung der Luft, Band 5: VDI-Richtlinien 2450 Bl.1, 2451 Bl.4, 2453 Bl.5, 2455 Bl.1
Versuch 2:
  • Grundlagen über elektrische Maschinen, speziell: Asynchronmotoren
  • Simulationsmethoden, speziell: Verwendung von Blockschaltbildern
  • Betriebsverhalten von Kreispumpen, speziell: Kennlinien, Ähnlichkeitsgesetze
Versuch 3:
  • Unger, H.-G.: Optische Nachrichtentechnik, Teil 1: Optische Wellenleiter. Hüthing Verlag, Heidelberg, 1984
  • Dakin, J., Cushaw, B.: Optical Fibre Sensors: Principles and Components. Artech House Boston, 1988
  • Culshaw, B., Dakin, J.: Optical Fibre Sensors: Systems and Application. Artech House Boston, 1989
Versuch 4: 
  • Leonhard: Einführung in die Regelungstechnik. Vieweg Verlag, Braunschweig-Wiesbaden
  • Jan Lunze: Systemtheoretische Grundlagen, Analyse und Entwurf einschleifiger Regelungen



Course L1116: Measurement Technology for Mechanical Engineering
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Thorsten Kern, Dennis Kähler
Language EN
Cycle WiSe
Content

1 Fundamentals

1.1 Quantities and Units

1.2 Uncertainty

1.3 Calibration

1.4 Static and Dynamic Properties of Sensors and Systems

2 Measurement of Electrical Quantities

2.1 Current and Voltage

2.2 Impedance

2.3 Amplification

2.4 Oscilloscope

2.5 Analog-to-Digital Conversion

2.6 Data Transmission

3 Measurement of Nonelectric Quantities

3.1 Temperature

3.2 Length, Displacement, Angle

3.3 Strain, Force, Pressure

3.4 Flow

3.5 Time, Frequency

Literature

Lerch, R.: „Elektrische Messtechnik; Analoge, digitale und computergestützte Verfahren“, Springer, 2006, ISBN: 978-3-540-34055-3.

 Profos, P. Pfeifer, T.: „Handbuch der industriellen Messtechnik“, Oldenbourg, 2002, ISBN: 978-3486217940.

Course L1118: Measurement Technology for Mechanical Engineering
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Thorsten Kern
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1279: MED II: Introduction to Biochemistry and Molecular Biology

Courses
Title Typ Hrs/wk CP
Introduction to Biochemistry and Molecular Biology (L0386) Lecture 2 3
Module Responsible Prof. Hans-Jürgen Kreienkamp
Admission Requirements None
Recommended Previous Knowledge None
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge The students can
  • describe basic biomolecules;
  • explain how genetic information is coded in the DNA;
  • explain the connection between DNA and proteins;
Skills The students can
  • recognize the importance of molecular parameters for the course of a disease;
  • describe selected molecular-diagnostic procedures;
  • explain the relevance of these procedures for some diseases
Personal Competence
Social Competence

The students can participate in discussions in research and medicine on a technical level.

Students will have an improved understanding of current medical problems (e.g. Corona pandemic)and will be able to explain these issues to others.


Autonomy

The students can develop an understanding of topics from the course, using technical literature, by themselves.

Students will be better equipped to recognize fake news in the media regarding medical research topics. 


Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Credit points 3
Course achievement None
Examination Written exam
Examination duration and scale 60 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
Electrical Engineering: Specialisation Medical Technology: Elective Compulsory
Engineering Science: Specialisation Biomedical Engineering: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Compulsory
Mechanical Engineering: Specialisation Biomechanics: Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0386: Introduction to Biochemistry and Molecular Biology
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Hans-Jürgen Kreienkamp
Language DE
Cycle WiSe
Content
Literature

Müller-Esterl, Biochemie, Spektrum Verlag, 2010; 2. Auflage

Löffler, Basiswissen Biochemie, 7. Auflage, Springer, 2008




Module M1333: BIO I: Implants and Fracture Healing

Courses
Title Typ Hrs/wk CP
Implants and Fracture Healing (L0376) Lecture 2 3
Module Responsible Prof. Michael Morlock
Admission Requirements None
Recommended Previous Knowledge

It is recommended to participate in "Introduction into Anatomie" before attending "Implants and Fracture Healing".

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge The students can describe the different ways how bones heal, and the requirements for their existence.

The students can name different treatments for the spine and hollow bones under given fracture morphologies.

Skills

The students can determine the forces acting within the human body under quasi-static situations under specific assumptions.

Personal Competence
Social Competence

The students can, in groups, solve basic numerical modeling tasks for the calculation of internal forces.

Autonomy

The students can, in groups, solve basic numerical modeling tasks for the calculation of internal forces.

Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Credit points 3
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
Engineering Science: Specialisation Biomedical Engineering: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Compulsory
Mechanical Engineering: Specialisation Biomechanics: Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Orientation Studies: Core Qualification: Elective Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0376: Implants and Fracture Healing
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Michael Morlock
Language DE
Cycle WiSe
Content

Topics to be covered include:

1.    Introduction (history, definitions, background importance)

2.    Bone (anatomy, properties, biology, adaptations in femur, tibia, humerus, radius)

3.    Spine (anatomy, biomechanics, function, vertebral bodies, intervertebral disc, ligaments)

3.1  The spine in its entirety

3.2  Cervical spine

3.3  Thoracic spine

3.4  Lumbar spine

3.5  Injuries and diseases

4.    Pelvis (anatomy, biomechanics, fracture treatment)

5     Fracture Healing

5.1  Basics and biology of fracture repair

5.2  Clinical principals and terminology of fracture treatment

5.3  Biomechanics of fracture treatment

5.3.1    Screws

5.3.2    Plates

5.3.3    Nails

5.3.4    External fixation devices

5.3.5    Spine implants

6.0       New Implants


Literature

Cochran V.B.: Orthopädische Biomechanik

Mow V.C., Hayes W.C.: Basic Orthopaedic Biomechanics

White A.A., Panjabi M.M.: Clinical biomechanics of the spine

Nigg, B.: Biomechanics of the musculo-skeletal system

Schiebler T.H., Schmidt W.: Anatomie

Platzer: dtv-Atlas der Anatomie, Band 1 Bewegungsapparat



Module M0634: Introduction into Medical Technology and Systems

Courses
Title Typ Hrs/wk CP
Introduction into Medical Technology and Systems (L0342) Lecture 2 3
Introduction into Medical Technology and Systems (L0343) Project Seminar 2 2
Introduction into Medical Technology and Systems (L1876) Recitation Section (large) 1 1
Module Responsible Prof. Alexander Schlaefer
Admission Requirements None
Recommended Previous Knowledge

principles of math (algebra, analysis/calculus)
principles of  stochastics
principles of programming, R/Matlab

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students can explain principles of medical technology, including imaging systems, computer aided surgery, and medical information systems. They are able to give an overview of regulatory affairs and standards in medical technology.

Skills

The students are able to evaluate systems and medical devices in the context of clinical applications.

Personal Competence
Social Competence

The students describe a problem in medical technology as a project, and define tasks that are solved in a joint effort.
The students can critically reflect on the results of other groups and make constructive suggestions for improvement.


Autonomy

The students can assess their level of knowledge and document their work results.  They can critically evaluate the results achieved and present them in an appropriate manner.

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes 10 % Written elaboration
Yes 10 % Presentation
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
Computer Science: Specialisation II. Mathematics and Engineering Science: Elective Compulsory
Data Science: Specialisation II. Application: Elective Compulsory
Data Science: Core Qualification: Elective Compulsory
Electrical Engineering: Core Qualification: Elective Compulsory
Engineering Science: Specialisation Biomedical Engineering: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Compulsory
Computer Science in Engineering: Specialisation II. Mathematics & Engineering Science: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0342: Introduction into Medical Technology and Systems
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Alexander Schlaefer
Language DE
Cycle SoSe
Content

- imaging systems
- computer aided surgery
- medical sensor systems
- medical information systems
- regulatory affairs
- standard in medical technology
The students will work in groups to apply the methods introduced during the lecture using problem based learning.


Literature

Bernhard Priem, "Visual Computing for Medicine", 2014
Heinz Handels, "Medizinische Bildverarbeitung", 2009 (https://katalog.tub.tuhh.de/Record/745558097)
Valery Tuchin, "Tissue Optics - Light Scattering Methods and Instruments for Medical Diagnosis", 2015
Olaf Drössel, "Biomedizinische Technik - Medizinische Bildgebung", 2014
H. Gross, "Handbook of Optical Systems", 2008 (https://katalog.tub.tuhh.de/Record/856571687)
Wolfgang Drexler, "Optical Coherence Tomography", 2008
Kramme, "Medizintechnik", 2011
Thorsten M. Buzug, "Computed Tomography", 2008
Otmar Scherzer, "Handbook of Mathematical Methods in Imaging", 2015
Weishaupt, "Wie funktioniert MRI?", 2014
Paul Suetens, "Fundamentals of Medical Imaging", 2009
Vorlesungsunterlagen

Course L0343: Introduction into Medical Technology and Systems
Typ Project Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Alexander Schlaefer
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L1876: Introduction into Medical Technology and Systems
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Alexander Schlaefer
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1280: MED II: Introduction to Physiology

Courses
Title Typ Hrs/wk CP
Introduction to Physiology (L0385) Lecture 2 3
Module Responsible Dr. Roger Zimmermann
Admission Requirements None
Recommended Previous Knowledge None
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge The students can
  • describe the basics of the energy metabolism;
  • describe physiological relations in selected fields of muscle, heart/circulation, neuro- and sensory physiology.
Skills The students can describe the effects of basic bodily functions (sensory, transmission and processing of information, development of forces and vital functions) and relate them to similar technical systems.
Personal Competence
Social Competence The students can conduct discussions in research and medicine on a technical level.

The students can find solutions to problems in the field of physiology, both analytical and metrological.

Autonomy

The students can derive answers to questions arising in the course and other physiological areas, using technical literature, by themselves.

Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Credit points 3
Course achievement None
Examination Written exam
Examination duration and scale 60 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
Data Science: Specialisation Medicine: Compulsory
Electrical Engineering: Specialisation Medical Technology: Elective Compulsory
Engineering Science: Specialisation Biomedical Engineering: Elective Compulsory
General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Elective Compulsory
Mechanical Engineering: Specialisation Biomechanics: Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0385: Introduction to Physiology
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr. Gerhard Engler
Language DE
Cycle SoSe
Content
Literature

Taschenatlas der Physiologie, Silbernagl Despopoulos, ISBN 978-3-135-67707-1, Thieme

Repetitorium Physiologie, Speckmann, ISBN 978-3-437-42321-5, Elsevier

Module M1693: Computer Science for Engineers - Programming Concepts, Data Handling & Communication

Courses
Title Typ Hrs/wk CP
Computer Science for Engineers - Programming Concepts, Data Handling & Communication (L2689) Lecture 3 3
Computer Science for Engineers - Programming Concepts, Data Handling & Communication (L2690) Recitation Section (small) 2 3
Module Responsible Prof. Sibylle Fröschle
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
Skills


Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 10 % Attestation Testate finden semesterbegleitend statt.
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Renewable Energy: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Elective Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Systems: Elective Compulsory
Logistics and Mobility: Specialisation Information Technology: Compulsory
Mechatronics: Core Qualification: Compulsory
Process Engineering: Core Qualification: Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Compulsory
Course L2689: Computer Science for Engineers - Programming Concepts, Data Handling & Communication
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Sibylle Fröschle
Language DE
Cycle SoSe
Content
Literature

John V. Guttag: Introduction to Computation and Programming Using Python.
With Application to Understanding Data. 2nd Edition. The MIT Press, 2016.

Course L2690: Computer Science for Engineers - Programming Concepts, Data Handling & Communication
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sibylle Fröschle
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1332: BIO I: Experimental Methods in Biomechanics

Courses
Title Typ Hrs/wk CP
Experimental Methods in Biomechanics (L0377) Lecture 2 3
Module Responsible Prof. Michael Morlock
Admission Requirements None
Recommended Previous Knowledge

It is recommended to participate in "Implantate und Frakturheilung" before attending "Experimentelle Methoden".

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The course deals with common experimental methods used in biomechanics. For each topic an overview and some basic practical knowledge is provided.

1. Tribology
2. Optical Methods
3. Motion Analysis
4. Pressure Distribution
5. Strain Gauges
6. Pre-clinical testing
7. Specimen Preparation and Storage


The students can describe the different ways how bones heal, and the requirements for their existence.

The students can name different treatments for the spine and hollow bones under given fracture morphologies.

The students can describe different measurement techniques for forces and movements, and choose the adequate technique for a given task.

Skills

The students can describe the basic handling of several experimental techniques used in biomechanics.

Personal Competence
Social Competence

Students are able to organize themselves as a group to solve simple experimental tasks together. On the one hand, the division of tasks must be organized during the experiment as well as during the short written elaboration, but on the other hand, the knowledge acquired must be available to all participants of the group afterwards. The challenge here is that the topics change quickly because fundamentally different measurement principles are taught. In addition, a strict time management is expected.

Autonomy

Students perform simple experimental tasks in small groups or create simple sensors (e.g. strain gauges). The preceding lecture serves as a basis for these experiments. As preparation or follow-up, the theoretical knowledge has to be worked up and related to the experimental result. In particular, independent transfer performance is necessary to clarify why experimental observations can show deviations from the theoretical values and how these deviations can be compensated.

Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Credit points 3
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
Engineering Science: Specialisation Biomedical Engineering: Elective Compulsory
General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Elective Compulsory
Mechanical Engineering: Specialisation Biomechanics: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0377: Experimental Methods in Biomechanics
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Michael Morlock
Language DE
Cycle SoSe
Content

The course deals with common experimental methods used in biomechanics. For each topic an overview and some basic practical knowledge is provided.

1. Tribology
2. Optical Methods
3. Motion Analysis
4. Pressure Distribution
5. Strain Gauges
6. Pre-clinical testing
7. Specimen Preparation and Storage

Literature

Hoffmann K., Eine Einführung in die Technik des Messens mit Dehnmessstreifen

White A.A., Panjabi M.M.: Clinical biomechanics of the spine

Nigg, B.: Biomechanics of the musculo-skeletal system

Online Hilfe von Mathworks: https://de.mathworks.com/help/matlab/

Specialization Naval Architecture

The Bachelor Course „Naval Architecture” prepares by the elective modules for scientific tasks in naval architecture, ocean engineering and related mechanical engineering disciplines. Thus, the occupational orientation can either related to the design of ships or offshore systems, or to more dedicated areas, such as hydrodynamics or strength of structures.


Module M1118: Hydrostatics and Body Plan

Courses
Title Typ Hrs/wk CP
Hydrostatics (L1260) Lecture 2 3
Hydrostatics (L1261) Recitation Section (large) 2 1
Body Plan (L1452) Project Seminar 2 2
Module Responsible Prof. Stefan Krüger
Admission Requirements None
Recommended Previous Knowledge

Good knowledge in Mathemathics I-III and Mechanics I-III. 

It is recommended that the students are familiar with typical design relevant drawings, e.g. Body Plan, GA- Plan, Tank Plan etc.

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The lecture enables the student to carry out all necessary theoretical calculations for ship design on a scientific level. The lecture is basic requirement for all following lectures in the subjects shipo design and safety of ships.

Skills

The student is able to carry out hydrostatic calculations to ensure that the ship has sufficient stability. He is able to design hull forms that are safe against capsizing or sinking. 

Personal Competence
Social Competence

The student gets access to hydrostatical problems. 

Autonomy
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 180 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Naval Architecture: Compulsory
Naval Architecture: Core Qualification: Compulsory
Course L1260: Hydrostatics
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Stefan Krüger
Language DE
Cycle SoSe
Content

1. Numerical Integration, Diffrentation, Interpolation

  - Trapezoidal Rule, Simpson, Tschebyscheff, graphical Integration Methods

  - Determination of Areas, 1st and 2nd order Moments

  - Numerical Diffrentation, Spline Interpolation

2. Buyoancy

   - Principle of Archimedes

   - Equlibrium Floating Condition

   - Equlibrium Computations

   - Hydrostatic Tables and Sounding Tables

   - Trim Tables

3. Stability at large heeling angles

   - Stability Equation

   - Cross Curves of Stability and Righting Levers

   - Numerical and Graphical Determination of Cross Curves

   - Heeling Moments of Free Surfaces, Water on Deck, Water Ingress

   - Heeling Moments of Different Type

   - Balance of Heeling and Righting Moments acc. to BV 1030

   - Intact Stability Code (General Critaria)

4. Linearization of Stability Problems

   - Linearization of Restoring Forces and Moments

   - Correlation between Metacentric Height and Righting Lever at small heeling angles

   - Computation of Path of Metacentric Height for Modern Hull Forms

   - Correlation between Righting Lever and Path of Metacentric Height

   - Hydrostatic Stiffness Matrix

   - Definition of MCT

   - Computation of Equilibrum Floating  Conditions from Hydrostatic Tables

   - Effect of Free Surfaces on Initial GM

   - Roll Motions at Small Roll Angles

6. Stability in Waves

   - Roll Motions at Large Amplitudes

   - Pure Loss of Stability on the Wave Crest

   - Principle of Parametric Excitation

   - Principle of Direct Wave Moments

   - Grim´s Equivalent Wave Concept

6  Longitudinal Strength

   - Longitudinal Mass Distribution, Shear Forces,  Bending Moments

   - Longitudinal Strength in Stability Booklet

7. Deadweight Survey and Inclining Experiment

   - Deplacement Computations from Draft mark Readings

   - Weights to go on /come from board

   - Inclining Experiment with Heeling Moments from Weights and Heeling Tanks

   - Residual Sounding Volumes

   - Determination of COG from Metacentric height and from Cross Curves

   - Roll Decay Test

8. Launching and Docking

    - Launching Plan, Arrangement of Launching Blocks

    - Rigid Body Launching: Tilting, Dumping, Equation of Techel

    - Computation of Launching Event

    - Bottom Pressure and Longitudinal Strength

    - Linear- Elastic Effects

    - Transversal Stability on Slipway and in Dock

9. Grounding

   - Loss of Buoynacy when Grounded

   - Pointwise Grounding

   - Ship Grounds on Keel

10. Introduction into Damage Stability Problems

    - Added Mass Method

    - Loss of Buoyant Volume Method

    - Simple Equilibrium Computations

    - Intermediate Stages of Flooding (Addes Mass Method), Cross- and Downflooding

    - Water Ingress Through Openings

11. Special Problems (optional and agreed upon)

    - e.g. Heavy Lift Operations

    - e.g. Jacking of Jackup Vessels

    - e.g. Sinking After Water Ingress


Literature

1. Herner/Rusch: Die Theorie des Schiffes
    Fachbuchverlag Leipzig

2. Henschke
    Schiffstechnisches Handbuch, Band 1
    VEB Technik Verlag Berlin

3. Das Skript zur Vorlesung, Anwendungsbeispiele und Klausuren sind auf unserer Homepage abrufbar. 


Course L1261: Hydrostatics
Typ Recitation Section (large)
Hrs/wk 2
CP 1
Workload in Hours Independent Study Time 2, Study Time in Lecture 28
Lecturer Prof. Stefan Krüger
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L1452: Body Plan
Typ Project Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Stefan Krüger
Language DE
Cycle WiSe
Content

As preparation for the lecture “Hydrostatics”, the students must develop a body plan  of a modern twin screw vessel (cruise liner, RoPAx- feryy, RoRo ) and perform elementary volumetric computations. The body plan is to be developed from a given GA or can be designed freely. All computations shall be based on graphical integration methods. The body plan consists of :

- Grid

- approx. 20 sections, 5 Waterlines, 5 Buttocks

- Computation Volume and centre of buoyancy for several drafts

- Computation of Righting Lever curve for a given displacement  based on and graphical integration for several heeling angles.


Literature

1. Herner/Rusch: Die Theorie des Schiffes
    Fachbuchverlag Leipzig

2. Henschke
    Schiffstechnisches Handbuch, Band 1
    VEB Technik Verlag Berlin

3. Das Skript zur Vorlesung, Anwendungsbeispiele und Klausuren sind auf unserer Homepage abrufbar. 


Module M0933: Fundamentals of Materials Science

Courses
Title Typ Hrs/wk CP
Fundamentals of Materials Science I (L1085) Lecture 2 2
Fundamentals of Materials Science II (Advanced Ceramic Materials, Polymers and Composites) (L0506) Lecture 2 2
Physical and Chemical Basics of Materials Science (L1095) Lecture 2 2
Module Responsible Prof. Jörg Weißmüller
Admission Requirements None
Recommended Previous Knowledge

Highschool-level physics, chemistry und mathematics


Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students have acquired a fundamental knowledge on metals, ceramics and polymers and can describe this knowledge comprehensively. Fundamental knowledge here means specifically the issues of atomic structure, microstructure, phase diagrams, phase transformations, corrosion and mechanical properties. The students know about the key aspects of characterization methods for materials and can identify relevant approaches for characterizing specific properties. They are able to trace materials phenomena back to the underlying physical and chemical laws of nature.



Skills

The students are able to trace materials phenomena back to the underlying physical and chemical laws of nature. Materials phenomena here refers to mechanical properties such as strength, ductility, and stiffness, chemical properties such as corrosion resistance, and to phase transformations such as solidification, precipitation, or melting. The students can explain the relation between processing conditions and the materials microstructure, and they can account for the impact of microstructure on the material’s behavior.


Personal Competence
Social Competence -
Autonomy -
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 180 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Naval Architecture: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
Data Science: Specialisation II. Application: Elective Compulsory
Digital Mechanical Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory
Logistics and Mobility: Specialisation Engineering Science: Elective Compulsory
Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Naval Architecture: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory
Course L1085: Fundamentals of Materials Science I
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Jörg Weißmüller
Language DE
Cycle WiSe
Content
Literature

Vorlesungsskript

W.D. Callister: Materials Science and Engineering - An Introduction. 5th ed., John Wiley & Sons, Inc., New York, 2000, ISBN 0-471-32013-7

P. Haasen: Physikalische Metallkunde. Springer 1994


Course L0506: Fundamentals of Materials Science II (Advanced Ceramic Materials, Polymers and Composites)
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Bodo Fiedler, Prof. Gerold Schneider
Language DE
Cycle SoSe
Content Chemische Bindungen und Aufbau von Festkörpern; Kristallaufbau; Werkstoffprüfung; Schweißbarkeit; Herstellung von Keramiken; Aufbau und Eigenschaften der Keramik; Herstellung, Aufbau und Eigenschaften von Gläsern; Polymerwerkstoffe, Makromolekularer Aufbau; Struktur und Eigenschaften der Polymere; Polymerverarbeitung; Verbundwerkstoffe     
Literature

Vorlesungsskript

W.D. Callister: Materials Science and Engineering -An Introduction-5th ed., John Wiley & Sons, Inc., New York, 2000, ISBN 0-471-32013-7

Course L1095: Physical and Chemical Basics of Materials Science
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Gregor Vonbun-Feldbauer
Language DE
Cycle WiSe
Content
  • Motivation: „Atoms in Mechanical Engineering?“
  • Basics: Force and Energy
  • The electromagnetic Interaction
  • „Detour“: Mathematics (complex e-funktion etc.)
  • The atom: Bohr's model of the atom
  • Chemical bounds
  • The multi part problem: Solutions and strategies
  • Descriptions of using statistical thermodynamics
  • Elastic theory of atoms
  • Consequences of atomar properties on makroskopic Properties: Discussion of examples (metals, semiconductors, hybrid systems)
Literature

Für den Elektromagnetismus:

  • Bergmann-Schäfer: „Lehrbuch der Experimentalphysik“, Band 2: „Elektromagnetismus“, de Gruyter

Für die Atomphysik:

  • Haken, Wolf: „Atom- und Quantenphysik“, Springer

Für die Materialphysik und Elastizität:

  • Hornbogen, Warlimont: „Metallkunde“, Springer


Module M0854: Mathematics IV

Courses
Title Typ Hrs/wk CP
Differential Equations 2 (Partial Differential Equations) (L1043) Lecture 2 1
Differential Equations 2 (Partial Differential Equations) (L1044) Recitation Section (small) 1 1
Differential Equations 2 (Partial Differential Equations) (L1045) Recitation Section (large) 1 1
Complex Functions (L1038) Lecture 2 1
Complex Functions (L1041) Recitation Section (small) 1 1
Complex Functions (L1042) Recitation Section (large) 1 1
Module Responsible Prof. Anusch Taraz
Admission Requirements None
Recommended Previous Knowledge Mathematics I - III
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students can name the basic concepts in Mathematics IV. They are able to explain them using appropriate examples.
  • Students can discuss logical connections between these concepts.  They are capable of illustrating these connections with the help of examples.
  • They know proof strategies and can reproduce them.


Skills
  • Students can model problems in Mathematics IV with the help of the concepts studied in this course. Moreover, they are capable of solving them by applying established methods.
  • Students are able to discover and verify further logical connections between the concepts studied in the course.
  • For a given problem, the students can develop and execute a suitable approach, and are able to critically evaluate the results.


Personal Competence
Social Competence
  • Students are able to work together in teams. They are capable to use mathematics as a common language.
  • In doing so, they can communicate new concepts according to the needs of their cooperating partners. Moreover, they can design examples to check and deepen the understanding of their peers.


Autonomy
  • Students are capable of checking their understanding of complex concepts on their own. They can specify open questions precisely and know where to get help in solving them.
  • Students have developed sufficient persistence to be able to work for longer periods in a goal-oriented manner on hard problems.


Workload in Hours Independent Study Time 68, Study Time in Lecture 112
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 60 min (Complex Functions) + 60 min (Differential Equations 2)
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Naval Architecture: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Elective Compulsory
Electrical Engineering: Core Qualification: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Electrical Engineering: Compulsory
Computer Science in Engineering: Specialisation II. Mathematics & Engineering Science: Elective Compulsory
Mechanical Engineering: Specialisation Mechatronics: Compulsory
Mechanical Engineering: Specialisation Theoretical Mechanical Engineering: Elective Compulsory
Mechatronics: Core Qualification: Compulsory
Naval Architecture: Core Qualification: Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course Core Studies: Elective Compulsory
Course L1043: Differential Equations 2 (Partial Differential Equations)
Typ Lecture
Hrs/wk 2
CP 1
Workload in Hours Independent Study Time 2, Study Time in Lecture 28
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle SoSe
Content

Main features of the theory and numerical treatment of partial differential equations 

  • Examples of partial differential equations
  • First order quasilinear differential equations
  • Normal forms of second order differential equations
  • Harmonic functions and maximum principle
  • Maximum principle for the heat equation
  • Wave equation
  • Liouville's formula
  • Special functions
  • Difference methods
  • Finite elements
Literature
  • http://www.math.uni-hamburg.de/teaching/export/tuhh/index.html


Course L1044: Differential Equations 2 (Partial Differential Equations)
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L1045: Differential Equations 2 (Partial Differential Equations)
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L1038: Complex Functions
Typ Lecture
Hrs/wk 2
CP 1
Workload in Hours Independent Study Time 2, Study Time in Lecture 28
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle SoSe
Content

Main features of complex analysis 

  • Functions of one complex variable
  • Complex differentiation
  • Conformal mappings
  • Complex integration
  • Cauchy's integral theorem
  • Cauchy's integral formula
  • Taylor and Laurent series expansion
  • Singularities and residuals
  • Integral transformations: Fourier and Laplace transformation
Literature
  • http://www.math.uni-hamburg.de/teaching/export/tuhh/index.html


Course L1041: Complex Functions
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L1042: Complex Functions
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1805: Computational Mechanics

Courses
Title Typ Hrs/wk CP
Computational Mechanics (Exercises) (L1138) Recitation Section (small) 2 2
Computational Multibody Dynamics (L1137) Integrated Lecture 2 2
Computational Stuctural Mechanics (L2475) Integrated Lecture 2 2
Module Responsible Prof. Robert Seifried
Admission Requirements None
Recommended Previous Knowledge

Mathematics I-III and Engineering Mechanics I-III

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students can

  • describe the axiomatic procedure used in mechanical contexts;
  • explain important steps in model design;
  • present technical knowledge.
Skills

The students can

  • explain the important elements of mathematical / mechanical analysis and model formation, and apply it to the context of their own problems;
  • apply basic methods from numerical mechanics to engineering problems;
  • estimate the reach and boundaries of the methods and extend them to be applicable to wider problem sets.
Personal Competence
Social Competence

The students can work in groups and support each other to overcome difficulties.

Autonomy

Students are capable of determining their own strengths and weaknesses and to organize their time and learning based on those.

Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Naval Architecture: Compulsory
Energy Systems: Technical Complementary Course Core Studies: Elective Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Naval Architecture: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course Core Studies: Elective Compulsory
Course L1138: Computational Mechanics (Exercises)
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Robert Seifried, Prof. Christian Cyron
Language DE
Cycle SoSe
Content
Literature K. Magnus, H.H. Müller-Slany: Grundlagen der Technischen Mechanik. 7. Auflage, Teubner (2009).
D. Gross, W. Hauger, J. Schröder, W. Wall: Technische Mechanik 1-4. 11. Auflage, Springer (2011).
Course L1137: Computational Multibody Dynamics
Typ Integrated Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Robert Seifried
Language DE
Cycle SoSe
Content
  • Linear versus nonlinear vibration
  • Numerical methods for time integration
  • Concepts from analytical mechanics
  • Spatial multibody systems
  • Linearization of multibody systems
  • Vibrations with multiple degrees of freedom: free, damped, forced, modal  transformation
  • Impacts
  • Introduction to Matlab
Literature

K. Magnus, H.H. Müller-Slany: Grundlagen der Technischen Mechanik. 7. Auflage, Teubner (2009). 
D. Gross, W. Hauger, J. Schröder, W. Wall: Technische Mechanik 1-4. 11. Auflage, Springer (2011).

W. Schiehlen, P. Eberhard: Technische Dynamik, Springer (2012).


Course L2475: Computational Stuctural Mechanics
Typ Integrated Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Christian Cyron
Language DE
Cycle SoSe
Content

The lecture Computational Structural Mechanics extends the content of the lecture Engineering Mechanic II. It bridges the gap between the manual calculation of mechanical stress and deformation in systems with a particularly simple geometry and the efficent computer-based computation of general mechanical systems:

  • Basics of linear continuum mechanics
  • Planar structures: plate, membrane, slab
  • Linientragwerke: beam, cable, truss
  • Weak form and Galerkin's method
  • Finite element method: theory and application
  • Principles of mechanics: principle of virtual work, virtual displacements, virtual forces
Literature Gross, Hauger, Wriggers, "Technische Mechanik 4", Springer

Module M0680: Fluid Dynamics

Courses
Title Typ Hrs/wk CP
Fluid Mechanics (L0454) Lecture 3 4
Fluid Mechanics (L0455) Recitation Section (large) 2 2
Module Responsible Prof. Thomas Rung
Admission Requirements None
Recommended Previous Knowledge

Students should have sound knowledge of engineering mathematics, engineering mechanics and thermodynamics.

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students will have the required sound knowledge to explain the general principles of fluid engineering and physics of fluids. They are familiar with the similarities and differences between fluid mechanics and neighbouring subjects (thermodynamics, structural mechanics). Students can scientifically outline the rationale of flow physics using mathematical models. They are familiar with most performance analysis methods -in particular their realms and limitations- and the prediction of fluid engineering devices.

Skills

Students are able to apply fluid-engineering principles and flow-physics models for the analysis of technical systems. They are able to explain physical relationships used to design fluid engineering devices. The lecture enables the student to carry out all necessary theoretical calculations for the fluid dynamic design of engineering devices on a scientific level.

Personal Competence
Social Competence

The students are able to discuss problems, present the results of their own analysis, and jointly develop solution strategies that address given technical goals.


Autonomy

The students are able to develop solution strategies for complex problems self-consistent. They are able to critically analyse own results as well as external data with regards to the plausibility and reliability.


Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 180 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Naval Architecture: Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Naval Architecture: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0454: Fluid Mechanics
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Thomas Rung
Language DE/EN
Cycle SoSe
Content
  • continuum physics definition of fluids, difference to solids/structures and material properties of fluids
  • dimensional analysis and similitude
  • fluid forces and fluid statics
  • transport and conservation of mass, momentum & energy 
  • fluid kinematics
  • technically relevant flow models for incompressible fluids
    • control volume & stream tube analysis
    • vortical flow models
    • potential flows
    • boundary layer flows
    • different types of conservation equations and their realm
      (Navier-Stokes/Euler/Bernoulli equations)
    • analytical solutions for Navier-Stokes systems
  • Analysis of internal flows (channels, pipes, open channels) and external flows, fundamentals of wing aerodynamics
  • turbulent flows
  • fundamentals of gas dynamics (1D compressible flows)
Literature
  • the course primarily refers to / das Modul stütz sich bevorzugt auf :
    Munson, B.R.; Rothmayer, A.P.; Okiishi, T.H.; Huebsch, W.W.: Fundamentals of Fluid Mechanics, John Wiley & Sons.

  • Spurk, J.; Aksel, N.: Strömungslehre, Springer.
  • Schade, H.; Kunz, E., Kameier, F.; Paschereit, C.O.: Strömungslehere, De Gruyter.
  • Herwig, H.: Strömungsmechanik, Springer.
  • Herwig, H.: Strömungsmechanik von A-Z, Vieweg.

Course L0455: Fluid Mechanics
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Thomas Rung
Language DE/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0640: Stochastics and Ship Dynamics

Courses
Title Typ Hrs/wk CP
Ship Dynamics (L0352) Lecture 2 3
Ship Dynamics (L1620) Recitation Section (small) 1 1
Statistics and Stochastic Processes in Naval Architecure and Ocean Engineering (L0364) Lecture 2 3
Module Responsible Prof. Moustafa Abdel-Maksoud
Admission Requirements None
Recommended Previous Knowledge
  • Technical mechanics
  • Linear algebra, analysis, complex numbers
  • Fluid mechanics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

- The students are able to give an overview over various manoeuvres. They can name application goals and they can describe the procedure of the manoeuvres.

- The students are able to give an overview over varius rudder types. They can name criteria in the rudder design.

- The students can name computation methods which are used to determine forces and motions in waves.



Skills

- The students can come up with the equations of motions which are used to discribe manoeuvres. The can use and linearise them.

- The students are able to determine hydrodynamic coefficients and they can explain their physical meaning.

- The students can explain how a rudder works and they can explain the physical effects which can occur.

- The students can mathematically describe waves.

- The students can explain the mathematically description of harmoncial motions in waves and they can determine them.

Personal Competence
Social Competence

- The students can arrive at work results in groups and document them.

- The students can discuss in groups and explain their point of view.

Autonomy - The students can assess their own strengthes and weaknesses and the define further work steps on this basis.
Workload in Hours Independent Study Time 140, Study Time in Lecture 70
Credit points 7
Course achievement None
Examination Written exam
Examination duration and scale 180 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Naval Architecture: Compulsory
Naval Architecture: Core Qualification: Compulsory
Course L0352: Ship Dynamics
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Moustafa Abdel-Maksoud
Language DE
Cycle SoSe
Content

Maneuverability of ships

  • Equations of motion
  • Hydrodynamic forces and moments
  • Linear equations and their solutions
  • Full-scale trials for evaluating the maneuvering performance
  • Regulations for maneuverability
  • Rudder


Seakeeping

  • Representation of harmonic processes
  • Motions of a rigid ship in regular waves
  • Flow forces on ship cross sections
  • Strip method
  • Consequences induced by ship motion in regular waves
  • Behavior of ships in a stationary sea state
  • Long-term distribution of seaway influences


Literature
  • Abdel-Maksoud, M., Schiffsdynamik, Vorlesungsskript, Institut für Fluiddynamik und Schiffstheorie,  Technische Universität Hamburg-Harburg, 2014
  • Abdel-Maksoud, M., Ship Dynamics, Lecture notes, Institute for Fluid Dynamic and Ship Theory, Hamburg University of  Technology, 2014
  • Bertram, V., Practical Ship Design Hydrodynamics, Butterworth-Heinemann, Linacre House - Jordan Hill, Oxford, United Kingdom, 2000
  • Bhattacharyya, R., Dynamics of Marine Vehicles, John Wiley & Sons, Canada,1978
  • Brix, J. (ed.), Manoeuvring Technical Manual, Seehafen-Verlag, Hamburg, 1993
  • Claus, G., Lehmann, E., Östergaard, C). Offshore Structures, I+II, Springer-Verlag. Berlin Heidelberg, Deutschland, 1992
  • Faltinsen, O. M., Sea Loads on Ships and Offshore Structures, Cambridge University Press, United Kingdom, 1990
  • Handbuch der Werften, Deutschland, 1986
  • Jensen, J. J., Load and Global Response of Ships, Elsevier Science, Oxford, United Kingdom, 2001
  • Lewis, Edward V. (ed.), Principles of Naval Architecture - Motion in Waves and Controllability, Society of Naval Architects and Marine Engineers, Jersey City, NJ, 1989
  • Lewandowski, E. M., The Dynamics of Marine Craft: Maneuvering and Seakeeping, World Scientific, USA, 2004
  • Lloyd, A., Ship Behaviour in Rough Weather, Gosport, Chichester, Sussex, United Kingdom, 1998


Course L1620: Ship Dynamics
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Moustafa Abdel-Maksoud
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L0364: Statistics and Stochastic Processes in Naval Architecure and Ocean Engineering
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr. Sven Wassermann
Language DE
Cycle WiSe
Content
  • descriptive statistics, parameter, criteria for outliers
  • sample, sample space, probability, probability space
  • Bayes method, conditional probability, law of total probability
  • Discrete and continuous random variables
  • Probability distributions
  • mixed and joint random variables and their distribution
  • Characteristics of random variables (expectation, variance, skewness, kurtosis, …)
  • (central) limit theorem
  • Stochastic processes
  • Statistical description of seaway, harmonic analysis of seaway
  • narrow-banded Gaussian process, seaway and its characteristics
  • sea- and wind spectra
  • transformation of spectra, transfer function
Literature

V. Müller, Statistik und Stochastik in der Schiffs- und Meerestechnik, Vorlesungsskript, Institut für Fluiddynamik und Schiffstheorie,  Technische Universität Hamburg-Harburg, 2014

W. Blendermann „Grundlagen der Wahrscheinlichkeitsrechnung“, Vorlesungsskript, Arbeitsbereich Fluiddynamik und Schiffstheorie,  Technische Universität Hamburg-Harburg, 2001

H. W. Coleman, W. G. Steele, Experimentation and Uncertainty Analysis for Engineers, 3rd Edition, John Wiley & Sons, Inc., New York, NY, 2009

ITTC Recommended Procedures and Guidelines, In: Quality Systems Manual, International Towing Tank Conference (ITTC), 2011

F.M. Dekking, C. Kraaikamp, H.P. Lopuhaä, L.E. Meester, A Modern Introduction To Probability and Statistics, Springer, 2005

Springer Handbook of Engineering Statistics, H. Pham (Hrsg.), Springer, 2006

A. Klenke, Wahrscheinlichkeitstheorie, Springer, 2013


Module M0664: Structural Design and Construction of Ships

Courses
Title Typ Hrs/wk CP
Ship Structural Design (L0412) Lecture 2 3
Ship Structural Design (L0415) Recitation Section (small) 2 3
Welding Technology (L1123) Lecture 3 3
Module Responsible Prof. Sören Ehlers
Admission Requirements None
Recommended Previous Knowledge

Mechanics I - III
Fundamentals of Materials Science I - III
Welding Technology I
Fundamentals of Mechanical Design I - III

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can reproduce design and sizing as well as fabrication of the different areas of ship structures and of different ship types (incl. detail design); they can describe calculation models for complex structures.



Skills

Students are capable to specify the requirements for different ship types and areas of the hull, to define design criteria for the components, to select suitable calculation models and to assess the chosen structure



Personal Competence
Social Competence

Students are capable to present their structural design and discuss their decisions constructively in a group. 

Autonomy

Students are capable to design independently different structural areas of the ship hull and different ship types and to define appropriate fabrication methods.



Workload in Hours Independent Study Time 172, Study Time in Lecture 98
Credit points 9
Course achievement None
Examination Written exam
Examination duration and scale 3 hours
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Naval Architecture: Compulsory
Naval Architecture: Core Qualification: Compulsory
Course L0412: Ship Structural Design
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr. Rüdiger Ulrich Franz von Bock und Polach
Language DE
Cycle SoSe
Content

Chapters:

1. Bulkheads and tanks
2. Structural design of forebodies
3. Structures in engine rooms
4. Aft bodies and rudders
5. Detail structural design
6. Outfitting
7. Bulk carriers
8. Tankers
9. Container ships
10. Production-kind steel structural design
11. Buckling and ultimate strength
12. Safety factors and reliability of structures

Literature

Vorlesungsskript mit weiteren Literaturangaben wird über das Internet verfügbar gemacht

Course L0415: Ship Structural Design
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr. Rüdiger Ulrich Franz von Bock und Polach
Language DE
Cycle SoSe
Content

Chapters:

1. Bulkheads and tanks
2. Structural design of forebodies
3. Structures in engine rooms
4. Aft bodies and rudders
5. Detail structural design
6. Outfitting
7. Bulk carriers
8. Tankers
9. Container ships
10. Production-kind steel structural design
11. Buckling and ultimate strength
12. Safety factors and reliability of structures

Literature

Vorlesungsskript mit weiteren Literaturangaben wird über das Internet verfügbar gemacht

Course L1123: Welding Technology
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Claus Emmelmann, Prof. Karl-Ulrich Kainer
Language DE
Cycle WiSe
Content

- phase transitions, phase diagrams and thermal activated processes

- fundamentals of steels, heat treatment applications for steels and time temperature transformation diagrams

- properties of weldable carbon and fine grained steels

- properties of weldable low- and high-alloy steels, corrosion resistant steels and high-strength steels

- structure and properties of non-ferrite metals (aluminum, titanium)

- NDT/DT Methods for materials and welds

- gas fusion welding,  fundamentals of electric arc welding technologies

- structure and influence parameters for the welded joint

- submerged arc welding/tungsten inert gas welding/inert gas metal arc welding (MIG)/active gas metal arc welding (MAG)/Plasma Welding

- resistance welding/ polymer welding/ hybrid-welding

- deposition welding

- electron beam welding/ laser beam welding

- weld joint designs and declarations

- computation methods for weld joint dimensioning


Literature

Schulze, G.: Die Metallurgie des Schweißens, 4. Aufl., Berlin 2010 Strassburg, F.W. und Wehner H.: Schweißen nichtrostender Stähle, 4. Aufl. Düsseldorf, 2009 Dilthey, U.: Schweißtechnische Fertigungsverfahren, Bd. 1: Schweiß- und Schneidtechnologien, 3. Aufl., Berlin 2006.

Dilthey, U.: Schweißtechnische Fertigungsverfahren, Bd. 2: Verhalten der Werkstoffe beim Schweißen, 3. Aufl., Berlin 2005.

Dilthey, U.: Schweißtechnische Fertigungsverfahren, Bd. 3: Gestaltung und Festigkeit von Schweißkonstruktionen, 2. Aufl., Berlin 2002.


Module M0659: Fundamentals of Ship Structural Design and Analysis

Courses
Title Typ Hrs/wk CP
Fundamentals of Ship Structural Design (L0411) Lecture 2 2
Fundamentals of Ship Structural Design (L0413) Recitation Section (small) 1 2
Fundamentals of Ship Structural Analysis (L0410) Lecture 2 2
Fundamentals of Ship Structural Analysis (L0414) Recitation Section (small) 1 2
Module Responsible Prof. Sören Ehlers
Admission Requirements None
Recommended Previous Knowledge

Mechanics I - III
Fundamentals of Materials Science I - III
Welding Technology I
Fundamentals of Mechanical Design I - III


Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can reproduce the basic contents of the structural behaviour of ship structures; they can explain the theory and methods for the calculation of deformations and stresses in beam-like structures.

Furthermore, they can reproduce the basis contents of codes (rules), materials, semi-finished products, joining and principles of structural design of components in the ship structure.


Skills

Students are capable of applying the methods and tools for the calculation of linear deformations and stresses in the above mentioned structures; they can choose calculation models of typical ship structures.

Furthermore, they are capable to apply the methods of drawing and sizing the ship structure; they can select suitable materials, semi-finished products and joints.


Personal Competence
Social Competence

The students are able to communicate and cooperate in a professional environment in the shipbuilding and component supply industry. 

Autonomy

The students are capable to independently idealize real ship structures and to select suitable methods for analysis of beam-like structures; they are capable to assess the results of structural analyses.

Furthermore, they are capable to assess drawings of complex ship structures and to design ship structures for various requirements and boundary conditions.


Workload in Hours Independent Study Time 156, Study Time in Lecture 84
Credit points 8
Course achievement None
Examination Written exam
Examination duration and scale 3 hours
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Naval Architecture: Compulsory
Orientation Studies: Core Qualification: Elective Compulsory
Naval Architecture: Core Qualification: Compulsory
Course L0411: Fundamentals of Ship Structural Design
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Sören Ehlers
Language DE
Cycle WiSe
Content

Chapters:
1. Introduction
3. Class societies and their tasks
4. Materials for steel shipbuilding
5. Welding and Cutting
6. Semi-finished products in steel shipbuilding
7. Determining the scantlings for local loads
8. Longitudinal strength of the hull girder
9. Determining the scantlings of longitudinal structural members
10. Determining the scantlings of bottom and side structures
11. Decks and Hatch Openings
12. Effective breadth
13. Iterative determination of scantlings (POSEIDON)

Literature

Vorlesungsskript mit weiteren Literaturangaben wird über das Internet verfügbar gemacht

Course L0413: Fundamentals of Ship Structural Design
Typ Recitation Section (small)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Sören Ehlers
Language DE
Cycle WiSe
Content

Chapters:
1. Introduction
3. Class societies and their tasks
4. Materials for steel shipbuilding
5. Welding and Cutting
6. Semi-finished products in steel shipbuilding
7. Determining the scantlings for local loads
8. Longitudinal strength of the hull girder
9. Determining the scantlings of longitudinal structural members
10. Determining the scantlings of bottom and side structures
11. Decks and Hatch Openings
12. Effective breadth
13. Iterative determination of scantlings (POSEIDON)

Literature

Vorlesungsskript mit weiteren Literaturangaben wird über das Internet verfügbar gemacht

Course L0410: Fundamentals of Ship Structural Analysis
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Sören Ehlers
Language DE
Cycle WiSe
Content

Contents:
1. Introduction
2. Finite element method (f.e. method) by the example of trussworks
3. Force methods for frameworks
4. F.e. method for frameworks
5. Shear and torsion in thin-walled beams
6. Beams subjected to longitudinal forces

Literature

Vorlesungsskript mit weiteren Literaturangaben; div. Bücher über die Methode der finiten Elemente

Course L0414: Fundamentals of Ship Structural Analysis
Typ Recitation Section (small)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Sören Ehlers
Language DE
Cycle WiSe
Content

Contents:
1. Introduction
2. Finite element method (f.e. method) by the example of trussworks
3. Force methods for frameworks
4. F.e. method for frameworks
5. Shear and torsion in thin-walled beams
6. Beams subjected to longitudinal forces

Literature

Vorlesungsskript mit weiteren Literaturangaben; div. Bücher über die Methode der finiten Elemente

Module M1109: Resistance and Propulsion

Courses
Title Typ Hrs/wk CP
Resistance and Propulsion (L1265) Lecture 2 3
Resistance and Propulsion (L1266) Recitation Section (large) 2 3
Module Responsible Prof. Stefan Krüger
Admission Requirements None
Recommended Previous Knowledge
  • Mechanics
  • Fluid Dynamics for Naval Architects
  • Hydrostratics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The hydrodynamic basics that are relevant for resistance and propulsion of ships are discussed. The different resistance phenomena and their practical applications to hullform design as well as numerical and empirical prediction methods are subject of the course. Furthermore, environmental additional resistances are dealt with. The course includes model test techniques and their application to full scale ships. This hold also for propulsion and hullefficiency elements, mainly thrust deduction and wake. Main Focus is how hull forms can be optimized for minimum and sustainable fuel consumption. The following topics are dealt with:

- Stillwater/added resistance, Wave resistance, Minimization of wave resistance, numerical prediction methods, friction laws, laminar/turbulent flow separation, Hull form design for redcude flow separation, Appendage Design and resistance, Froude´s resistance law,form factor method, thrust deduction, wake, model scaling laws, resistance tests, free running propeller tests and propeller basics, propulsion tests, full scale speed power predictions, additional resistances (wind, steering, current, sea state), EEDI, speed trials, contractual matters concerning speed/power, bunker claims

Skills

The student shall learn to design competitve hull forms with respect to fuel consumption by applying numreical techniques and to evaluate these hulls  by several progosis methods. Furtermore, the course will enable the student to clearl determine and minimize the required power including environmental influences.

Personal Competence
Social Competence The student learns to prepare technical matters in such a way that he can compte with his building suvervision team.
Autonomy

The student learns to prepare technical matters in such a way that he can compte with his building suvervision team.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 180 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Naval Architecture: Compulsory
Naval Architecture: Core Qualification: Compulsory
Course L1265: Resistance and Propulsion
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Stefan Krüger
Language DE
Cycle WiSe
Content
Literature
Course L1266: Resistance and Propulsion
Typ Recitation Section (large)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Stefan Krüger
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0655: Computational Fluid Dynamics I

Courses
Title Typ Hrs/wk CP
Computational Fluid Dynamics I (L0235) Lecture 2 3
Computational Fluid Dynamics I (L0419) Recitation Section (large) 2 3
Module Responsible Prof. Thomas Rung
Admission Requirements None
Recommended Previous Knowledge

Students should have sound knowledge of engineering mathematics (series expansions, internal & vector calculus), and be familiar with the foundations of partial/ordinary differential equations. They should also be familiar with engineering fluid mechanics and thermodynamics.

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students will have the required combined knowledge of thermo-/fluid dynamics and numerical analysis to translate general principles of thermo-/fluid engineering into discrete algorithms on the basis of local (finite differences/volumes) and global (potential theory) ansatz functions. They are familiar with the similarities and differences between different discretisation and approximation concepts for investigating coupled systems of non-linear, convective partial differential equations (PDE), and explain the motivation for applying them. Students have the required background knowledge to develop, code, explain and apply numerical algorithms dedicated to the solution of thermofluid  dynamic PDEs. They are familiar with most numerical methods used to predict thermofluid dynamic fields, in particular their realms and limitations.

Skills

The students are able choose and apply appropriate numerical procedures that integrate the governing thermofluid dynamic PDEs in space and time. They can apply/optimise numerical analysis concepts to/for fluid dynamic applications. They can code computational algorithms in a structured way, apply these codes for parameter investigations and supplement interfaces to extract simulation data for an engineering analysis.  



Personal Competence
Social Competence

The students are able to discuss problems, present the results of their own analysis, and jointly develop, implement and report on solution strategies that address given technical reference problems.


Autonomy

The students can independently analyse numerical methods to solving fluid engineering problems. They are able to critically analyse own results as well as external data with regards to the plausibility and reliability.



Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 2h
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Naval Architecture: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Elective Compulsory
Energy Systems: Technical Complementary Course Core Studies: Elective Compulsory
Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Naval Architecture: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0235: Computational Fluid Dynamics I
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Thomas Rung
Language DE
Cycle WiSe
Content

Fundamentals of computational modelling of thermofluid dynamic problems. Development of numerical algorithms.

  1. Partial differential equations
  2. Foundations of finite numerical approximations
  3. Computation of potential flows
  4. Introduction of finite-differences
  5. Approximation of convective, diffusive and transient transport processes
  6. Formulation of boundary conditions and initial conditions
  7. Assembly and solution of algebraic equation systems
  8. Facets of weighted -residual approaches
  9. Finite volume methods
  10. Basics of grid generation
Literature

Ferziger and Peric: Computational Methods for Fluid Dynamics, Springer

Course L0419: Computational Fluid Dynamics I
Typ Recitation Section (large)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Thomas Rung
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1110: Ship Design

Courses
Title Typ Hrs/wk CP
Ship Design (L1262) Lecture 2 3
Ship Design (L1264) Recitation Section (large) 2 3
Module Responsible Prof. Stefan Krüger
Admission Requirements None
Recommended Previous Knowledge
  • Fluid Dynamics for Naval Architects, Resistance and Propulsion
  • Resistance and Propulsion, Hydrostatics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The lecture starts with an overview about the importance and requirements of the aerly design phase. Competitive Elements of Ship Designs are thoroughly discussed. Typical bulding contracts and the related technical risk are introduced. The most important main parameters of a ship are introduced and their influence on the competitiveness of a design. The lecture focusses on the influence of alternated main parameters on the total performance of a ship design and the consecutive process elements. In this lecture, the design changes are dealt with by simple models or formulae. The student shall further learn to model complex systems properly so that the relavent technical conclusions can be drawn.

The lecture continues with an introduction into the different phases of design project, from the initial design phase to a building contract. Further, methods are introduced to generate bulding specfication relevant information at different levens of granularity during the different design stages. In detail, the following topics are adressed:

- Structure of a building specification
- Determination of Light Ship Weight and Deadweight
Components
- Design of main section and hull form
- Design of aftbody lines and manoevering devices
- Design of main propulsion plant
- Design of subdivision
- Determination of limiting GMrequ- Curves
- Scantlings of most improtant structural members
- Longitudinal strength
- Outfitting Components
- Relevant rules and regulations

Skills

The student is made familiar with the basic design principles of seagoing mearchant ships. The goal of the lecture is that the student shall be able to carry out a concept design based on a vessel of comparison fulfilling typical contract requirements within the Marine Environment. The lecture deals with the basic design methods to determine the fundamantal technical characteristics of a ship design with respect to fulfillment procedures of the contract values. Based on the lecture "Principles of Ship Design" the relevant methods to determine and judge uopn the performance of a ship design are treated.

Personal Competence
Social Competence The students learns to prepare technical matters in such a way the he can persuade his potantial customer against his competitors.
Autonomy

The students learns to prepare technical matters in such a way the he can persuade his potantial customer against his competitors.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 180 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Naval Architecture: Compulsory
Naval Architecture: Core Qualification: Compulsory
Course L1262: Ship Design
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Stefan Krüger
Language DE
Cycle SoSe
Content
Literature
Course L1264: Ship Design
Typ Recitation Section (large)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Stefan Krüger
Language DE
Cycle SoSe
Content
Literature

Thesis

Module M1800: Bachelor thesis (dual study program)

Courses
Title Typ Hrs/wk CP
Module Responsible Professoren der TUHH
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Dual students…

  • … choose central theoretical principles from their field of study (facts, theories, methods) in relation to problems and applications, present them and discuss them critically.
  • … further develop their subject-related and practical knowledge as appropriate and link both areas of knowledge together. 
  • … present the current research available on a chosen topic or on a chosen operational issue linked to their subject.

Skills

Dual students…

  • … evaluate both the basic knowledge linked to their field of study acquired at the university and professional knowledge gained through the company, then purposefully use it to solve technical and application-related problems.
  • … analyse questions and problems using the methods learned throughout their studies (including practical phases), reach factually justifiable decisions and develop application-specific solutions.
  • … critically analyse the results of their own research work from a subject-specific and professional perspective.

Personal Competence
Social Competence

Dual students…

  • … present a professional problem in the form of an academic question for a specialist audience in a structured, comprehensible and factually correct manner, both orally and in writing. 
  • … respond to questions as part of a specialist discussion and answer them appropriately. In doing so, they argue their own evaluations and points of view convincingly.


Autonomy

Dual students…

  • … structure a comprehensive, chronological workflow and work independently on a question to a high academic level within a given period of time.
  • … identify, develop and link necessary knowledge and material to handle an academic and application-related problem. 
  • … apply the essential techniques of academic work when conducting their own research on an operational issue.


Workload in Hours Independent Study Time 360, Study Time in Lecture 0
Credit points 12
Course achievement None
Examination Thesis
Examination duration and scale According to General Regulations
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Thesis: Compulsory
Civil- and Environmental Engineering: Thesis: Compulsory
Chemical and Bioprocess Engineering: Thesis: Compulsory
Computer Science: Thesis: Compulsory
Data Science: Thesis: Compulsory
Electrical Engineering: Thesis: Compulsory
Engineering Science: Thesis: Compulsory
Green Technologies: Energy, Water, Climate: Thesis: Compulsory
Computer Science in Engineering: Thesis: Compulsory
Mechanical Engineering: Thesis: Compulsory
Mechatronics: Thesis: Compulsory
Naval Architecture: Thesis: Compulsory
Technomathematics: Thesis: Compulsory
Engineering and Management - Major in Logistics and Mobility: Thesis: Compulsory