Program description

Content

The graduate students of the Bachelor program Mechatronics are able to demonstrate an overview of fundamental knowledge in the fields of material science, production, thermodynamics, mechanical design and computer science. They are able to express in detail basic approaches in the fields of mathematics, mechanics and electrical engineering, to explain the basics of metrology and control theory and to describe the interdisciplinary aspects of Mechatronics. This knowledge and the methods learned enable them to examine problems in Mechatronics, the sub-disciplines of Mechatronics and the adjacent disciplines.




Career prospects

The graduates of the Bachelor program Mechatronics are directly able to enter a career in the field of Mechatronics 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 manufacturing companies in mechanical and electrical engineering as well as engineering firms.

The degree allows access to a Master program, for example the consecutive International Master in Mechantronics.



Learning target

Graduates are able

  • to identify, abstract, formulate and solve technical problems on basic research;
  • to select, combine and interdisciplinary apply suitable methods for analysis, modeling, simulation and optimization;
  • to understand, analyze and evaluate products and methods in Mechatronics and its sub-disciplines in a systematic manner;
  • to apply design methods in Mechatronics;
  • to plan and carry out experiments and to interpret their results;
  • and to estimate the boundaries of methods and techniques

Graduates can

  • interdisciplinarily and responsibly apply and independently expand their knowledge within the sub-disciplines of Mechatronics accounting for economic requirements;
  • evaluate Mechatronic problems in a wider societal context and assess the non-technical effects of their engineering work;
  • cooperate with experts of other disciplines and laypersons and to communicate in German and English;
  • conduct literary research and use databases and other information sources for their work and can express the results of their work understandably both in written and oral presentation;
  • expand and deepen their acquired knowledge throughout their lives.

Program structure

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

The interdisciplinary final thesis is scheduled for the sixth semester.

At the Hamburg University of Technology the graduates can continue their studies with, among others, the Master program "International Master Mechatronics".

Core Qualification

The study of mechatronics enables you to understand interdisciplinary technical issues and to coordinate their solution in project teams and to take on subtasks of each individual technical discipline. This function is often referred to as systems engineering. The core qualifications of the bachelor's degree in mechanical engineering correspond exactly to this requirement and convey the basics from all relevant disciplines (computer science, electrical engineering, mechanics, systems technology) as well as the necessary basics of mathematics.

Module M0577: Non-technical Courses for Bachelors

Module Responsible Dagmar Richter
Admission Requirements None
Recommended Previous Knowledge None
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The Non-technical Academic Programms (NTA)

imparts skills that, in view of the TUHH’s training profile, professional engineering studies require but are not able to cover fully. Self-reliance, self-management, collaboration and professional and personnel management competences. The department implements these training objectives in its teaching architecture, in its teaching and learning arrangements, in teaching areas and by means of teaching offerings in which students can qualify by opting for specific competences and a competence level at the Bachelor’s or Master’s level. The teaching offerings are pooled in two different catalogues for nontechnical complementary courses.

The Learning Architecture

consists of a cross-disciplinarily study offering. The centrally designed teaching offering ensures that courses in the nontechnical academic programms follow the specific profiling of TUHH degree courses.

The learning architecture demands and trains independent educational planning as regards the individual development of competences. It also provides orientation knowledge in the form of “profiles”

The subjects that can be studied in parallel throughout the student’s entire study program - if need be, it can be studied in one to two semesters. In view of the adaptation problems that individuals commonly face in their first semesters after making the transition from school to university and in order to encourage individually planned semesters abroad, there is no obligation to study these subjects in one or two specific semesters during the course of studies.

Teaching and Learning Arrangements

provide for students, separated into B.Sc. and M.Sc., to learn with and from each other across semesters. The challenge of dealing with interdisciplinarity and a variety of stages of learning in courses are part of the learning architecture and are deliberately encouraged in specific courses.

Fields of Teaching

are based on research findings from the academic disciplines cultural studies, social studies, arts, historical studies, migration studies, communication studies and sustainability research, and from engineering didactics. In addition, from the winter semester 2014/15 students on all Bachelor’s courses will have the opportunity to learn about business management and start-ups in a goal-oriented way.

The fields of teaching are augmented by soft skills offers and a foreign language offer. Here, the focus is on encouraging goal-oriented communication skills, e.g. the skills required by outgoing engineers in international and intercultural situations.

The Competence Level

of the courses offered in this area is different as regards the basic training objective in the Bachelor’s and Master’s fields. These differences are reflected in the practical examples used, in content topics that refer to different professional application contexts, and in the higher scientific and theoretical level of abstraction in the B.Sc.

This is also reflected in the different quality of soft skills, which relate to the different team positions and different group leadership functions of Bachelor’s and Master’s graduates in their future working life.

Specialized Competence (Knowledge)

Students can

  • locate selected specialized areas with the relevant non-technical mother discipline,
  • outline basic theories, categories, terminology, models, concepts or artistic techniques in the disciplines represented in the learning area,
  • different specialist disciplines relate to their own discipline and differentiate it as well as make connections, 
  • sketch the basic outlines of how scientific disciplines, paradigms, models, instruments, methods and forms of representation in the specialized sciences are subject to individual and socio-cultural interpretation and historicity,
  • Can communicate in a foreign language in a manner appropriate to the subject.
Skills

Professional Competence (Skills)

In selected sub-areas students can

  • apply basic methods of the said scientific disciplines,
  • auestion a specific technical phenomena, models, theories from the viewpoint of another, aforementioned specialist discipline,
  • to handle simple questions in aforementioned scientific disciplines in a sucsessful manner,
  • justify their decisions on forms of organization and application in practical questions in contexts that go beyond the technical relationship to the subject.
Personal Competence
Social Competence

Personal Competences (Social Skills)

Students will be able

  • to learn to collaborate in different manner,
  • to present and analyze problems in the abovementioned fields in a partner or group situation in a manner appropriate to the addressees,
  • to express themselves competently, in a culturally appropriate and gender-sensitive manner in the language of the country (as far as this study-focus would be chosen), 
  • to explain nontechnical items to auditorium with technical background knowledge.


Autonomy

Personal Competences (Self-reliance)

Students are able in selected areas

  • to reflect on their own profession and professionalism in the context of real-life fields of application
  • to organize themselves and their own learning processes      
  • to reflect and decide questions in front of a broad education background
  • to communicate a nontechnical item in a competent way in writen form or verbaly
  • to organize themselves as an entrepreneurial subject country (as far as this study-focus would be chosen)      
Workload in Hours Depends on choice of courses
Credit points 6
Courses
Information regarding lectures and courses can be found in the corresponding module handbook published separately.

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 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 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, Dr. Dennis Clemens, Dr. Simon Campese
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 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 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 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. Nikola Bursac, 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. Nikola Bursac, Prof. Sören Ehlers
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 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 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
Compulsory Bonus Form Description
No 20 % Midterm Midterm
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 Maritime Technologies: Elective Compulsory
Integrated Building Technology: Core Qualification: Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Specialisation Naval Engineering: Compulsory
Mechatronics: Specialisation Dynamic Systems and AI: Compulsory
Mechatronics: Core Qualification: Compulsory
Mechatronics: Specialisation Robot- and Machine-Systems: Compulsory
Mechatronics: Specialisation Medical Engineering: 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. Impact problems

5 Kinetics of gyroscopes
5.1 Free gyroscopic motion
5.2 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 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 3D-CAD-Praktikum
Yes None Written elaboration Teamprojekt Konstruktionsmethodik
Yes None Written elaboration Konstruktionsprojekt 1
Yes None Written elaboration Konstruktionsprojekt 2
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
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. Jan Hendrik Dege
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 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. Marko Lindner
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
  • Fourier series
  • 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 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: Specialisation Electrical Systems: Compulsory
Mechatronics: Specialisation Dynamic Systems and AI: Compulsory
Mechatronics: Core Qualification: Compulsory
Mechatronics: Specialisation Robot- and Machine-Systems: 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 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
Compulsory Bonus Form Description
No 15 % Midterm Midterm Mehrkörpersysteme
No 5 % Excercises Hausaufgaben
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
Mechatronics: Specialisation Robot- and Machine-Systems: Compulsory
Mechatronics: Specialisation Medical Engineering: Elective 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
  • Modelling of mechanical systems
  • Linear versus nonlinear vibration
  • Numerical methods for time integration
  • Vibrations with multiple degrees of freedom: free, damped, forced, modal  transformation
  • Concepts from analytical mechanics
  • Spatial multibody systems
  • Linearization of multibody systems
  • 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 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: 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
Mechanical Engineering: Specialisation Mechatronics: Elective 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 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. Marko Lindner
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 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. 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
Engineering Science: Specialisation Mechanical Engineering: Compulsory
Engineering Science: Specialisation Mechatronics: Elective Compulsory
Engineering Science: Specialisation Biomedical Engineering: Compulsory
Engineering Science: Specialisation Advanced Materials: Elective 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
Mechatronics: Core Qualification: Elective 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. 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. 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. Arne Speerforck
Language DE
Cycle SoSe
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. Jan Hendrik Dege
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 Theoretical Mechanical Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Compulsory
Digital Mechanical Engineering: Core Qualification: Compulsory
Engineering Science: Specialisation Mechanical Engineering: 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
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Specialisation Naval Engineering: Compulsory
Mechatronics: Core Qualification: Compulsory
Mechatronics: Specialisation Robot- and Machine-Systems: Elective Compulsory
Mechatronics: Specialisation Medical Engineering: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: 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. Jan Hendrik Dege
Language DE
Cycle SoSe
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. Jan Hendrik Dege
Language DE
Cycle SoSe
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. Jan Hendrik Dege, 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. Jan Hendrik Dege, Prof. Claus Emmelmann
Language DE
Cycle SoSe
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 2
Measurement Technology for Mechanical Engineering (L1118) Practical Course 2 2
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 96, Study Time in Lecture 84
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 Successfull execution of up to 12 short experiments on measurements technology and sucessfull participation in the practical course of "Practical Course: Measurement and Control Systems"
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
Engineering Science: Specialisation Mechanical Engineering: Compulsory
Engineering Science: Specialisation Biomedical Engineering: Elective Compulsory
Engineering Science: Specialisation Mechatronics: Compulsory
Engineering Science: Specialisation Mechatronics: Compulsory
Engineering Science: Specialisation Mechanical Engineering and Management: 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: Specialisation Naval Engineering: Compulsory
Mechatronics: Specialisation Electrical Systems: Compulsory
Mechatronics: Specialisation Dynamic Systems and AI: Compulsory
Mechatronics: Core Qualification: Compulsory
Mechatronics: Specialisation Robot- and Machine-Systems: Compulsory
Mechatronics: Specialisation Medical Engineering: Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation II. 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

The content of experiment 1:

Accuracy testing of a delta robot: In the course of the experiment, the accuracy of a delta robot is tested through 3 tasks. The first task focuses on the online/offline programming of the robot. The second task deals with sensor calibration. In the third task, the radius of a sphere is determined using three different measurement methods (manual measurement, manual measurement with a sensor, automatic data acquisition and data processing).

The content of experiment 3:

The aim of the task is to enable the parallel kinematics to find objects, grasp them and place them on a static target position For this purpose, the end effector of the kinematics is equipped with an optical sensor (camera), whose characteristics are to be defined. The measuring range of the sensor is to be identified and, based on this, a movement strategy for finding the objects is to be developed and implemented. Once the objects have been found, they are to be picked up with a magnetic gripper and transported to their destination.

The content of experiment 4:

The aim of the task is to enable the parallel kinematics to find objects, grab them and deposit them on a moving platform. For this purpose, the end effector of the kinematics is equipped with an optical sensor (camera), the properties of which were worked out in experiment 3. Based on this, the parallel kinematics should now be able to follow the moving platform. For this purpose, a position control must be developed and implemented. Once the controller has been appropriately configured, the objects can be placed on the moving platform.

Literature

Versuch 1:

  • 1)Weck, Manfred; Brecher, Christian. Maschinenarten und Anwendungsbereiche. Springer (Werkzeugmaschinen, 1, Ed. 6). 2005
  • 2)Weck, Manfred; Brecher, Christian. Automatisierung von Maschinen und Anlagen. Springer (Werkzeugmaschinen, 4, Ed. 6). 2006
  • 3)Siciliano, Bruno; Khatib, Oussama. Springer handbook of robotics. Springer. 2008
  • 4)Schüppstuhl, Thorsten. VL Grundlagen der Handhabungs- und Montagetechnik. 2017

Versuch 3:

  • 1)Hompel, Michael, Hubert Büchter, and Ulrich Franzke. Identifikationssysteme und Automatisierung. Springer-Verlag, 2007.
  • ArUco Library Documentation, https://docs.google.com/document/d/1QU9KoBtjSM2kF6ITOjQ76xqL7H0TEtXriJX5kwi9Kgc/edit Stand 10/21
  • Demant, Christian, Bernd Streicher-Abel, and Axel Springhoff. Industrielle Bildverarbeitung: wie optische Qualitätskontrolle wirklich funktioniert. Springer-Verlag, 2011.

Versuch 4:

  • 1)Will, Thorsten T. C++ Das umfassende Handbuch, Rheinwerk Computing, 2020
  • 2)Hildebrand, Walter. Grundkurs Regelungstechnik : Grundlagen für Bachelorstudiengänge aller technischen Fachrichtungen und Wirtschaftsingenieure, Springer Vieweg, 2013.
  • 3)Erlenkötter, Helmut. C++: Objektorientiertes Programmieren von Anfang an, rororo, 2016

Bibliography:

Experiment 1

  • 1)Weck, Manfred; Brecher, Christian. Maschinenarten und Anwendungsbereiche. Springer (Werkzeugmaschinen, 1, Ed. 6). 2005
  • 2)Weck, Manfred; Brecher, Christian. Automatisierung von Maschinen und Anlagen. Springer (Werkzeugmaschinen, 4, Ed. 6). 2006
  • 3)Siciliano, Bruno; Khatib, Oussama. Springer handbook of robotics. Springer. 2008
  • 4)Schüppstuhl, Thorsten. VL Grundlagen der Handhabungs- und Montagetechnik. 2017

Experiment 3:

  • 1)Hompel, Michael, Hubert Büchter, and Ulrich Franzke. Identifikationssysteme und Automatisierung. Springer-Verlag, 2007.
  • ArUco Library Documentation, https://docs.google.com/document/d/1QU9KoBtjSM2kF6ITOjQ76xqL7H0TEtXriJX5kwi9Kgc/edit Stand 10/21
  • Demant, Christian, Bernd Streicher-Abel, and Axel Springhoff. Industrielle Bildverarbeitung: wie optische Qualitätskontrolle wirklich funktioniert. Springer-Verlag, 2011.

Experiment 4:

  • 1)Will, Thorsten T. C++ Das umfassende Handbuch, Rheinwerk Computing, 2020
  • 2)Hildebrand, Walter. Grundkurs Regelungstechnik : Grundlagen für Bachelorstudiengänge aller technischen Fachrichtungen und Wirtschaftsingenieure, Springer Vieweg, 2013.
  • 3)Erlenkötter, Helmut. C++: Objektorientiertes Programmieren von Anfang an, rororo, 2016
Course L1116: Measurement Technology for Mechanical Engineering
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, 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 Practical Course
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Thorsten Kern
Language EN
Cycle WiSe/SoSe
Content See interlocking course
Literature See interlocking course

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 Prof. Robert Seifried
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 60 min
Assignment for the Following Curricula Mechanical Engineering: Specialisation Mechatronics: Elective 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 Prof. Robert Seifried, Daniel-André Dücker
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 Prof. Robert Seifried
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 Prof. Robert Seifried
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

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. Timm Faulwasser
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: Specialisation II. Application: Elective Compulsory
Electrical Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory
Computer Science in Engineering: Core Qualification: 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 II. Information Technology: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation II. Traffic Planning and Systems: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation II. 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. Timm Faulwasser
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. Timm Faulwasser
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

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. Christian Lüthje
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 plus final test (90 minutes)
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
Chemical and Bioprocess Engineering: Specialisation Bio Engineering: Elective Compulsory
Chemical and Bioprocess Engineering: Specialisation Chemical Engineering: Elective Compulsory
Data Science: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Biotechnologies: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Systems / Renewable Energies: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Maritime Technologies: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Water Technologies: Elective Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Logistics and Mobility: Core Qualification: Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechanical Engineering: Specialisation Biomechanics: Compulsory
Mechanical Engineering: Specialisation Energy Systems: Compulsory
Mechanical Engineering: Specialisation Materials in Engineering Sciences: Compulsory
Mechanical Engineering: Specialisation Product Development and Production: Compulsory
Mechanical Engineering: Specialisation Theoretical Mechanical Engineering: Compulsory
Mechanical Engineering: Specialisation Aircraft Systems Engineering: Compulsory
Mechanical Engineering: Specialisation Mechatronics: Compulsory
Mechatronics: Core Qualification: Compulsory
Mechatronics: Specialisation Electrical Systems: Compulsory
Mechatronics: Specialisation Dynamic Systems and AI: Compulsory
Mechatronics: Specialisation Medical Engineering: Compulsory
Mechatronics: Specialisation Robot- and Machine-Systems: Compulsory
Mechatronics: Specialisation Naval Engineering: 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. Christian Lüthje
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. Matthias Meyer, Prof. Christian Lüthje, Prof. Christian Ringle, Prof. Christian Thies, Prof. Christoph Ihl, Prof. Kathrin Fischer, Prof. Moritz Göldner, Prof. Thomas Wrona, Prof. Thorsten Blecker, Prof. Tim Schweisfurth, Prof. Wolfgang Kersten
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 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. 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: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering: Elective Compulsory
Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Mechatronics: Specialisation Robot- and Machine-Systems: Elective 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. 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. 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. Arne Speerforck
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 Mechanical Engineering, Focus Energy Systems: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: 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 Mechatronics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Elective Compulsory
Electrical Engineering: Core Qualification: Elective Compulsory
Engineering Science: Specialisation Electrical Engineering: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Maritime Technologies: Elective Compulsory
Computer Science in Engineering: Specialisation II. Mathematics & 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: Specialisation Naval Engineering: Compulsory
Mechatronics: Core Qualification: Compulsory
Mechatronics: Specialisation Robot- and Machine-Systems: Compulsory
Mechatronics: Specialisation Electrical Systems: Elective Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation II. Information Technology: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation II. Traffic Planning and Systems: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation II. 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 NN
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 Mechanical Engineering, Focus Mechatronics: Elective Compulsory
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: Compulsory
Engineering Science: Specialisation Mechatronics: Elective 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: Specialisation Electrical Systems: Compulsory
Mechatronics: Core Qualification: Compulsory
Mechatronics: Specialisation Robot- and Machine-Systems: Elective 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 NN
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 NN, 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


Thesis

Module M-001: Bachelor Thesis

Courses
Title Typ Hrs/wk CP
Module Responsible Professoren der TUHH
Admission Requirements
  • According to General Regulations §21 (1):

    At least 126 ECTS credit points have to be achieved in study programme. The examinations board decides on exceptions.

Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • The students can select, outline and, if need be, critically discuss the most important scientific fundamentals of their course of study (facts, theories, and methods).
  • On the basis of their fundamental knowledge of their subject the students are capable in relation to a specific issue of opening up and establishing links with extended specialized expertise.
  • The students are able to outline the state of research on a selected issue in their subject area.
Skills
  • The students can make targeted use of the basic knowledge of their subject that they have acquired in their studies to solve subject-related problems.
  • With the aid of the methods they have learnt during their studies the students can analyze problems, make decisions on technical issues, and develop solutions.
  • The students can take up a critical position on the findings of their own research work from a specialized perspective.


Personal Competence
Social Competence
  • Both in writing and orally the students can outline a scientific issue for an expert audience accurately, understandably and in a structured way.
  • The students can deal with issues in an expert discussion and answer them in a manner that is appropriate to the addressees. In doing so they can uphold their own assessments and viewpoints convincingly.


Autonomy
  • The students are capable of structuring an extensive work process in terms of time and of dealing with an issue within a specified time frame.
  • The students are able to identify, open up, and connect knowledge and material necessary for working on a scientific problem.
  • The students can apply the essential techniques of scientific work to research of their own.
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): Thesis: Compulsory
General Engineering Science (German program, 7 semester): Thesis: Compulsory
Civil- and Environmental Engineering: Thesis: Compulsory
Bioprocess 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
General Engineering Science (English program): Thesis: Compulsory
General Engineering Science (English program, 7 semester): Thesis: Compulsory
Green Technologies: Energy, Water, Climate: Thesis: Compulsory
Computer Science in Engineering: Thesis: Compulsory
Logistics and Mobility: Thesis: Compulsory
Mechanical Engineering: Thesis: Compulsory
Mechatronics: Thesis: Compulsory
Naval Architecture: Thesis: Compulsory
Technomathematics: Thesis: Compulsory
Teilstudiengang Lehramt Metalltechnik: Thesis: Compulsory
Process Engineering: Thesis: Compulsory
Engineering and Management - Major in Logistics and Mobility: Thesis: Compulsory