Program description

Content

Today one can find mechanical engineering in practically all industrially made goods of everyday life like cars, electronic devices or tools. Mechanical engineering incorporates technologies and develops market ready products from basic developments. Accordingly the field of activity of mechanical engineers is wide: Planning and calculation of plants, devices and machines, selection and development of materials, design of mechanical devices taking into account economic manufacturing and planning of production plants are examples. Developments in micro system technology, mechatronics and microelectronics extended the field of work during the last years. In addition, subjects outside the field of technology become more and more important for engineers.

The aim of the mechanical engineering programs at TU Hamburg (bachelor and master) is to successfully prepare young people for their career start in this wide and always varying field. Mechanical engineers work in industry, medium-sized companies, public facilities, colleges and engineer's offices. Their activities can include various areas like research, development, production, project management, distribution, marketing and quality assurance.

The variety of applications within this occupation demands a high degree of specialization. Consequently, the professional training of mechanical engineers must balance the wide range of knowledge to be acquired (to offer diverse applications in the future) and the profoundness of training (for up-to-date technical competences). In the course of the consecutive bachelor’s and master’s program in mechanical engineering at the TUHH, the wide range of knowledge is taught mostly during the bachelor’s program while specific skills are developed during the master’s program. In any case, a profound understanding of the basics as well as a proficiency in common methods are part of the education. The course of study leading to the “Bachelor of Science” degree in mechanical engineering is designed with this aspiration. The fundamentals necessary to solve tasks in mechanical engineering are taught. Additionally, skills in an area of focus are taught during the bachelor’s degree course. The degree qualifies students to work professionally in typical fields of mechanical engineering:

  • Product development and production (production technologies, materials, lightweight design),
  • Aircraft systems engineering (aircraft systems, simulation product development),
  • Energy systems (thermal power plants, piston engines),
  • Mechatronics (simulation, semiconductor technology),
  • Biomechanics (medicine, implants),
  • Materials in engineering sciences (materials sciences, structural materials)

In reality, the transitions between the individual fields of mechanical engineering are blurred. The listed fields of application can be further pursued on in one of the master’s programs in mechanical engineering. 

In addition to the technical basics, an education in non-technical areas such as business administration, patent law, humanities as well as law and philosophy is pursued that fulfills the demands made on modern day engineers.

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

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


Career prospects

The courses’ graduates are able to work responsibly and proficiently as mechanical engineers. According to the laws of the states of the Federal Republic of Germany, they may use the professional title engineer. Possible employers are for example manufacturing companies in the mechanical engineering sector as well as engineering and planning offices. The degree allows for further studies in a masters’ program, e.g. the consecutive programs corresponding to the areas of focus.

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


Learning target

The education objective of this bachelor’s program is to develop the skills to select and combine basic methods and techniques to carry out technical tasks in the field of mechanical engineering and more specifically in the chosen area of focus.

Knowledge

  • The students are able to name and describe the mathematical and scientific fundamentals and methods of the engineering sciences.
  • The students are able to explain the fundamentals and methods of mechanical engineering and to give a summary of their field of studies.
  • The students are able to explain in detail the fundamentals, methods, and areas of application of the individual areas of mechanical engineering.
  • The students are able to reflect the fundamentals and methods of mechanical engineering and to give a summary of the relevant social, ethical, ecological, and economical boundary conditions of their field of studies.
  • Knowledge in the areas of focus:
    • Biomechanics: The students are able to describe different types of implants and large-scale equipment for diagnosis and therapy and to explain their workings.
    • Energy Systems: The students are able to explain technologies for the conversion, distribution, and use of energy.
    • Aircraft Systems Engineering: The Students are able to explain methods of systems engineering in relation to aircraft design and production.
    • Materials in Engineering Sciences: The students are able to explain characteristics of engineering materials, particularly of metals, ceramics, and structural materials.
    • Mechatronics: The students are able to explain mechatronic systems and their function from the perspectives of mechanical and electrical engineering.
    • Product Development and Production: The Students are able to explain all steps of the product development process.
    • Theoretical Mechanical Engineering: The students are able to describe the problems of mechanical engineering based on theoretical fundamentals.

Skills

  • The students are able to apply their knowledge about mathematical and scientific fundamentals and methods of engineering to simple theoretical and practical problems and to develop solutions. 
  • The Students are able to map typical detailed theoretical as well as practical mechanical engineering problems (e.g. dimensioning of machine parts such as shafts and bearings, calculation of energy flows) to their knowledge of fundamentals. They are able to analyze these problems methodically and based on fundamentals and to find and implement appropriate solution methods. They are able to document the chosen solution method adequately in writing.
  • The students are able to map practical, rather general mechanical engineering problems (e.g. design of devices) to sub-problems from their or other relevant fields, to analyze them methodically and based on fundamentals and to find and implement appropriate solution methods. They are able to present their solution to an audience in a clearly structured manner.
  • The students are able to handle practical engineering problems from research independently by applying appropriate methods, to document their chosen approach and to present it in front of an expert audience.
  • skills in the area of focus:
    • Biomechanics: The students are able to analyze medical equipment and implants by applying scientific methods
    • Energy Systems: The Students are able to analyze processes such as combustion systems or recuperators by applying scientific methods.
    • Aircraft System Engineering: The students are able to apply the standard methods of aircraft design and production.
    • Materials of Engineering Sciences: The students are able to apply methods of mechanical engineering to the design and analysis of engineering materials.
    • Mechatronics: The students are able to analyze mechatronic systems and their functions under consideration of aspects of electrical and mechanical engineering.
    • Product Development and Production: The students are able to apply standard methods to the design of production processes.
    • Theorectical Mechanical Engineering: The students are able to simulate mechanical and energy systems.

Social competency

  • The students are able to present the approach and outcome of their work comprehensibly in writing as well as orally.
  • The students are able to communicate with experts and laypersons about subject matters and problems of mechanical engineering. They are able to react appropriately to enquiries, complements, and comments.
  • The students are able to work in groups. They are able to define, distribute, and integrate subtasks. They are able to reach agreements in terms of time and to interact socially.

Independence

  • The students are able to obtain necessary specialist information and to put it into the context of their knowledge.
  • The students are able to assess their competences realistically and to compensate for shortcomings independently.
  • The students are able to acquire knowledge and skills of topic areas and problems in a self-organized and self-motivated manner (lifelong learning in engineering).

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


Program structure

The course of studies consists of the core qualification in the extent of 180 credit points, a specialization in the extent of 18 credit points and the final work intended in the sixth semester in the extent of 12 credit points. 

Specializations are: Energy technology, airplane-system technology, materials in the engineer's sciences, mechatronics, product development and production, as well as theoretical mechanical engineering. 

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

Core Qualification

Within this block "Kernqualifikation" of the Bachelor of Science program the students get the basics knowledge, basic professional skills and methods as a base for the further development of their competence up the ability to work qualified and responsable and to apply their skills on the job. Scientific principle-base education in mathemetics and the basics of engineering science are the essential topics of this block. First field applications, basics in business administration and nontechnical complementary courses are an important complement to these fields.

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 Prof. Benedikt Kriegesmann
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 Prof. Benedikt Kriegesmann
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 Prof. Benedikt Kriegesmann
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 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 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
Green Technologies: Energy, Water, Climate: Specialisation Maritime Technologies: 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 WiSe
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 M1006: Team Project MB
Courses
Title Typ Hrs/wk CP
Team Project MB (L1236) Project-/problem-based Learning 6 6
Module Responsible Prof. Bodo Fiedler
Admission Requirements None
Recommended Previous Knowledge none
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

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

The students can transfer their fundamental knowledge on civil engineering to the process of solving practical problems. They identify and overcome typical problems during the realization of projects in the context of civil engineering. Students are able to develop, compare, and choose conceptual solutions for non-standardized problems.
Personal Competence
Social Competence

Students are able to cooperate in small, mixed-subject groups in order to independently derive solutions to given problems in the context of civil engineering. They are able to effectively present and explain their results alone or in groups in front of a qualified audience. Students have the ability to develop alternative approaches to an civil engineering problem independently or in groups and discuss advantages as well as drawbacks.
Autonomy Students are capable of independently solving mechanical engineering problems using provided literature. They are able to fill gaps in as well as extent their knowledge using the literature and other sources provided by the supervisor. Furthermore, they can meaningfully extend given problems and pragmatically solve them by means of corresponding solutions and concepts.
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written elaboration
Examination duration and scale 2 h at Milestones (in rooms of the institutes)
Assignment for the Following Curricula Mechanical Engineering: Core Qualification: Compulsory
Course L1236: Team Project MB
Typ Project-/problem-based Learning
Hrs/wk 6
CP 6
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Lecturer Prof. Bodo Fiedler, Dozenten des SD M
Language DE
Cycle WiSe
Content N/A
Literature

Unterlagen zur Organisation über Stud.IP

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

Elementary knowledge of programming as taught in the "Introduction to Programming" bridge course or school.
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The module provides prospective engineers with an overview of computer science as a discipline and of the fundamentals of programming. The aim is to facilitate the exchange between engineers and computer scientists and to show possibilities and limitations of programmable systems.

Basic knowledge is learned about

  • approaches for estimating runtime and memory requirements
  • computer architecture
  • automata theory
  • simple data structures like lists and fields
  • sorting algorithms
  • programming
  • modeling for software
  • unit testing testing and debugging
Skills

Basic programming skills are learned. Students can

  • describe basic components of a computer
  • select appropriate data structures for a problem solution
  • design and implement simple programs
  • apply unit testing
  • estimate the runtime and memory requirements of simple algorithms
Personal Competence
Social Competence

Students are able to develop and communicate computer science solutions in small multidisciplinary project teams.
Autonomy

Students can independently create small programs to solve simple problems and validate their correctness.
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 M1750: Practical module 1 (dual study program, Bachelor's degree)
Courses
Title Typ Hrs/wk CP
Practical term 1 (dual study program, Bachelor's degree) (L2879) 0 6
Module Responsible Dr. Henning Haschke
Admission Requirements None
Recommended Previous Knowledge

A: Self-management, organising work and learning in engineering (for dual study program)
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Dual students…

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

Dual students…

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

Dual students…

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

Dual students…

  • … structure their work and learning processes within the company independently in line with their responsibilities and authorisations, and coordinate them with their professional supervisor. 
  • … complete work tasks/assignments with the support of colleagues. 
  • … coordinate the practical phase with any individual preparation required for the examination phase at TUHH. 
  • … document and reflect on how their foundational subjects link with their work as an engineer.
Workload in Hours Independent Study Time 180, Study Time in Lecture 0
Credit points 6
Course achievement None
Examination Written elaboration
Examination duration and scale Documentation accompanying studies and across semesters: Module credit points are earned by completing a digital learning and development report (e-portfolio). This documents and reflects individual learning experiences and skills development relating to interlinking theory and practice, as well as professional practice. In addition, the partner company provides proof to the dual@TUHH Coordination Office that the dual student has completed the practical phase.
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Core Qualification: Compulsory
Civil- and Environmental Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Computer Science: Core Qualification: Compulsory
Data Science: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Compulsory
Engineering Science: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Naval Architecture: Core Qualification: Compulsory
Technomathematics: Core Qualification: Compulsory
Engineering and Management - Major in Logistics and Mobility: Core Qualification: Compulsory
Course L2879: Practical term 1 (dual study program, Bachelor's degree)
Typ
Hrs/wk 0
CP 6
Workload in Hours Independent Study Time 180, Study Time in Lecture 0
Lecturer Dr. Henning Haschke
Language DE
Cycle WiSe
Content

Company onboarding process

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

Operational knowledge and skills

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

Sharing/reflecting on learning

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

Module M1755: Linking theory and practice (dual study program, Bachelor's degree)
Module Responsible Dr. Henning Haschke
Admission Requirements None
Recommended Previous Knowledge none
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Dual students…

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

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

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

Dual students…

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

Dual students…

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

Dual students…

  • … define, reflect and evaluate goals for learning and work processes.
  • … design their learning and work processes independently and sustainably at the university and company.
  • … take responsibility for their learning and work processes.
  • … are able to consciously think through their ideas or actions and relate them to their self-image to develop conclusions for future action based on this.
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written elaboration
Examination duration and scale Studienbegleitende und semesterübergreifende Dokumentation: Die Leistungspunkte für das Modul werden durch die Anfertigung eines digitalen Lern- und Entwicklungsberichtes (E-Portfolio) erworben. Dabei handelt es sich um eine fortlaufende Dokumentation und Reflexion der Lernerfahrungen und der Kompetenzentwicklung im Bereich der Personalen Kompetenz.
Course L2885: Self-Competence for Professional Success in Engineering (for Dual Study Program)
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Dr. Henning Haschke, Heiko Sieben
Language DE
Cycle WiSe/SoSe
Content
  • Key qualifications for professional success 
  • Personality and self-image
  • Personality profiles
  • Emotional competence
  • Needs structure models
  • Motivation theories and models
  • Communication basics, communication problems
  • Conflict management
  • Constructive communication and language cultures
  • Resilience
  • Transfer skills and (self-)reflection
  • Intercultural competence and business etiquette
  • Documenting and reflecting on learning experiences
Literature Seminarapparat
Course L2884: Self-Management, Organising Work and Learning in Engineering (for Dual Study Program)
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Dr. Henning Haschke, Heiko Sieben
Language DE
Cycle WiSe/SoSe
Content
  • Learning to learn
  • Instruments and methods for time and self-management
  • Personality and work style/behaviour (DISC model); inner drivers/motivation
  • Goal setting and planning techniques (SMART, GROW); for short-, medium- and long-term planning
  • Creativity techniques
  • Stress management, resilience
  • (Self-)reflection throughout the learning and work process
  • Structuring/connecting learning and work processes within different learning environments
  • Factors influencing learning transfer/transfer skills
  • Documenting and reflecting on learning experiences
Literature Seminarapparat
Course L2886: Social-Competence: Team Development and Communication in Engineering (for Dual Study Program)
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Dr. Henning Haschke, Heiko Sieben
Language DE
Cycle WiSe/SoSe
Content
  • Forms, conditions and processes of working groups and leadership relationships
  • Social skills: theories and models
  • Communication and discussion techniques 
  • Empathy and motivation in teamwork, the way teams work 
  • Critical ability
  • Team development: ways of developing working and project groups
  • Insights into day-to-day leadership: theories and models, leadership tasks, leadership styles, situational leadership, basics of change management
  • Documenting and reflecting on learning experiences
Literature Seminarapparat

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
Engineering Science: Specialisation Mechanical Engineering: Compulsory
Engineering Science: Specialisation Biomedical Engineering: Compulsory
Engineering Science: Specialisation Mechatronics: Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Maritime Technologies: 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
Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: 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 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 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
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 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

Analysis: 

  • power series and elementary functions
  • interpolation
  • integration (proper integrals, fundamental theorem, integration rules, improper integrals, parameter dependent integrals
  • applications of integration (volume and surface of bodies of revolution, lines and arc length, line integrals
  • numerical quadrature
  • periodic functions

Linear Algebra: 

  • general vector spaces: subspaces, Euclidean vector spaces
  • linear mappings: basis transformation, orthogonal projection, orthogonal matrices, householder matrices
  • linear regression: normal equations, linear discrete approximation
  • eigenvalues: diagonalising matrices, normal matrices, symmetric and Hermite matrices
  • system of linear differential equations 
  • matrix factorizations: LR-decomposition, QR-decomposition, Schur decomposition, Jordan normal form, singular value decomposition
Literature
  • T. Arens u.a. : Mathematik, Spektrum Akademischer Verlag, Heidelberg 2009
  • 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 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 M1751: Practical module 2 (dual study program, Bachelor's degree)
Courses
Title Typ Hrs/wk CP
Practical term 2 (dual study program, Bachelor's degree) (L2880) 0 6
Module Responsible Dr. Henning Haschke
Admission Requirements None
Recommended Previous Knowledge
  • Successful completion of practical module 1 as part of the dual Bachelor’s course
  • course A from the module on interlinking theory and practice as part of the dual Bachelor’s course
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Dual students …

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

Dual students …

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

Dual students …

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

Dual students …

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

Company onboarding process

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

Operational knowledge and skills

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

Sharing/reflecting on learning

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

Module 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 M0597: Advanced Mechanical Engineering Design
Courses
Title Typ Hrs/wk CP
Advanced Mechanical Engineering Design II (L0264) Lecture 2 2
Advanced Mechanical Engineering Design II (L0265) Recitation Section (large) 2 1
Advanced Mechanical Engineering Design I (L0262) Lecture 2 2
Advanced Mechanical Engineering Design I (L0263) Recitation Section (large) 2 1
Module Responsible Prof. Dieter Krause
Admission Requirements None
Recommended Previous Knowledge
  • Fundamentals of Mechanical Engineering Design
  • Mechanics
  • Fundamentals of Materials Science
  • Production Engineering
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

After passing the module, students are able to: 

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

After passing the module, students are able to:

  • accomplish dimensioning calculations of covered machine elements,
  • transfer knowledge learned in the module to new requirements and tasks (problem solving skills),
  • recognize the content of technical drawings and schematic sketches,
  • evaluate complex designs, technically.
Personal Competence
Social Competence
  • Students are able to discuss technical information in the lecture supported by activating methods.
Autonomy
  • Students are able to independently deepen their acquired knowledge in exercises.
  • Students are able to acquire additional knowledge and to recapitulate poorly understood content e.g. by using the video recordings of the lectures.
Workload in Hours Independent Study Time 68, Study Time in Lecture 112
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering: Compulsory
Energy Systems: Technical Complementary Course Core Studies: Elective Compulsory
Engineering Science: Specialisation Mechanical Engineering: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering: Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Naval Architecture: Core Qualification: Compulsory
Course L0264: Advanced Mechanical Engineering Design II
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Dieter Krause, Prof. Nikola Bursac
Language DE
Cycle SoSe
Content

Advanced Mechanical Engineering Design I & II

Lecture

  • Fundamentals of the following machine elements:
    • Linear rolling bearings
    • Axes & shafts
    • Seals
    • Clutches & brakes
    • Belt & chain drives
    • Gear drives
    • Epicyclic gears
    • Crank drives
    • Sliding bearings
  •  Elements of fluidics

Exercise

  • Calculation methods of the following machine elements:
    • Linear rolling bearings
    • Axes & shafts
    • Clutches & brakes
    • Belt & chain drives
    • Gear drives
    • Epicyclic gears
    • Crank gears
    • Sliding bearings
  •  Calculations of hydrostatic systems (fluidics)
Literature
  • Dubbel, Taschenbuch für den Maschinenbau; Grote, K.-H., Feldhusen, J.(Hrsg.); Springer-Verlag, aktuelle Auflage.
  • Maschinenelemente, Band I-III; Niemann, G., Springer-Verlag, aktuelle Auflage.
  •  Maschinen- und Konstruktionselemente; Steinhilper, W., Röper, R., Springer Verlag, aktuelle Auflage.
  •  Einführung in die DIN-Normen; Klein, M., Teubner-Verlag.
  •  Konstruktionslehre, Pahl, G.; Beitz, W., Springer-Verlag, aktuelle Auflage.
  •  Maschinenelemente 1-2; Schlecht, B., Pearson Verlag, aktuelle Auflage.
  •  Maschinenelemente - Gestaltung, Berechnung, Anwendung; Haberhauer, H., Bodenstein, F., Springer-Verlag, aktuelle Auflage.
  • Roloff/Matek Maschinenelemente; Wittel, H., Muhs, D., Jannasch, D., Voßiek, J., Springer Vieweg, aktuelle Auflage.
Sowie weitere Bücher zu speziellen Themen
Course L0265: Advanced Mechanical Engineering Design II
Typ Recitation Section (large)
Hrs/wk 2
CP 1
Workload in Hours Independent Study Time 2, Study Time in Lecture 28
Lecturer Prof. Dieter Krause, Prof. Nikola Bursac
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L0262: Advanced Mechanical Engineering Design I
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Dieter Krause, Prof. Nikola Bursac
Language DE
Cycle WiSe
Content

Advanced Mechanical Engineering Design I & II

Lecture

  • Fundamentals of the following machine elements:
    • Linear rolling bearings
    • Axes & shafts
    • Seals
    • Clutches & brakes
    • Belt & chain drives
    • Gear drives
    • Epicyclic gears
    • Crank drives
    • Sliding bearings
  •  Elements of fluidics

Exercise

  • Calculation methods of the following machine elements:
    • Linear rolling bearings
    • Axes & shafts
    • Clutches & brakes
    • Belt & chain drives
    • Gear drives
    • Epicyclic gears
    • Crank gears
    • Sliding bearings
  •  Calculations of hydrostatic systems (fluidics)
Literature
  • Dubbel, Taschenbuch für den Maschinenbau; Grote, K.-H., Feldhusen, J.(Hrsg.); Springer-Verlag, aktuelle Auflage.
  • Maschinenelemente, Band I-III; Niemann, G., Springer-Verlag, aktuelle Auflage.
  •  Maschinen- und Konstruktionselemente; Steinhilper, W., Röper, R., Springer Verlag, aktuelle Auflage.
  •  Einführung in die DIN-Normen; Klein, M., Teubner-Verlag.
  •  Konstruktionslehre, Pahl, G.; Beitz, W., Springer-Verlag, aktuelle Auflage.
  •  Maschinenelemente 1-2; Schlecht, B., Pearson Verlag, aktuelle Auflage.
  •  Maschinenelemente - Gestaltung, Berechnung, Anwendung; Haberhauer, H., Bodenstein, F., Springer-Verlag, aktuelle Auflage.
  • Roloff/Matek Maschinenelemente; Wittel, H., Muhs, D., Jannasch, D., Voßiek, J., Springer Vieweg, aktuelle Auflage.
Sowie weitere Bücher zu speziellen Themen
Course L0263: Advanced Mechanical Engineering Design I
Typ Recitation Section (large)
Hrs/wk 2
CP 1
Workload in Hours Independent Study Time 2, Study Time in Lecture 28
Lecturer Prof. Dieter Krause, Prof. Nikola Bursac
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0608: Basics of Electrical Engineering
Courses
Title Typ Hrs/wk CP
Basics of Electrical Engineering (L0290) Lecture 3 4
Basics of Electrical Engineering (L0292) Recitation Section (small) 2 2
Module Responsible Prof. Thorsten Kern
Admission Requirements None
Recommended Previous Knowledge Basics of mathematics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can to draw and  explain circuit diagrams for electric and electronic circuits with a small number of components. They can describe the basic function of electric and electronic componentes and can present the corresponding equations. They can demonstrate the use of the standard methods for calculations.
Skills

Students are able to analyse electric and electronic circuits with few components and to calculate selected quantities in the circuits. They apply the ususal methods of the electrical engineering for this.

Personal Competence
Social Competence

Students are enabled to collaborate in interdisciplinary teams with electrical engineering as a common language

With this, they are learning communication in a target-oriented communication style, are able to understand interfaces to neighboring engineering disciplines and learn about commonalities but also limits in the different directions of engineering.
Autonomy

Students are able independently to analyse electric and electronic circuits and to calculate selected quantities in the circuits.
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 20 % Subject theoretical and practical work Während des Semesters werden Hausarbeiten in Form von elektrischen Aufgaben vergeben, für die durch Simulation eine Lösung entwickelt und nachgewiesen werden muss.
Examination Subject theoretical and practical work
Examination duration and scale 135 minutes
Assignment for the Following Curricula Bioprocess Engineering: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory
Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory
Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory
Mechanical Engineering: 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: Specialisation II. Production Management and Processes: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation II. Traffic Planning and Systems: Elective Compulsory
Course L0290: Basics of Electrical Engineering
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Thorsten Kern
Language DE
Cycle WiSe
Content

DC networks: Current, voltage, power, Kirchhoff's laws, equivalent sources, network analysis

AC: Characteristics, RMS, complexe representation, phasor diagrams, power
Three phase AC: Characterisitics, star-delta- connection, power, transformer

Elektronics: Principle, operating behaviour and application of electronic devises as diode, Zener-diode, thyristor, transistor operational amplifier
Literature Alexander von Weiss, Manfred Krause: "Allgemeine Elektrotechnik"; Viweg-Verlag, Signatur der Bibliothek der TUHH: ETB 309 
Ralf Kories, Heinz Schmitt - Walter: "Taschenbuch der Elektrotechnik"; Verlag Harri Deutsch; Signatur der Bibliothek der TUHH: ETB 122
"Grundlagen der Elektrotechnik" - andere Autoren
Course L0292: Basics of Electrical Engineering
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Thorsten Kern, Weitere Mitarbeiter
Language DE
Cycle WiSe
Content

Excercises to the analysis of circuits and the calculation of electrical quantities th the topics:

DC networks: Current, voltage, power, Kirchhoff's laws, equivalent sources, 
network analysis

AC: Characteristics, RMS, complexe representation, phasor diagrams, power
Three phase AC: Characterisitics, star-delta- connection, power, transformer

Elektronics: Principle, operating behaviour and application of electronic devises as diode, Zener-diode, thyristor, transistor operational amplifier
Literature

Alexander von Weiss, Manfred Krause: "Allgemeine Elektrotechnik"; Viweg-Verlag, Signatur der Bibliothek der TUHH: ETB 309 
Ralf Kories, Heinz Schmitt - Walter: "Taschenbuch der Elektrotechnik"; Verlag Harri Deutsch; Signatur der Bibliothek der TUHH: ETB 122
"Grundlagen der Elektrotechnik" - andere Autoren

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
Green Technologies: Energy, Water, Climate: Specialisation Maritime Technologies: Elective Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Specialisation Naval Engineering: Compulsory
Mechatronics: Specialisation Robot- and Machine-Systems: Compulsory
Mechatronics: Specialisation Medical Engineering: Compulsory
Mechatronics: Specialisation Dynamic Systems and AI: 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 Konstruktionsprojekt 2
Yes None Written elaboration 3D-CAD-Praktikum
Yes None Written elaboration Teamprojekt Konstruktionsmethodik
Yes None Written elaboration Konstruktionsprojekt 1
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
Engineering Science: Specialisation Mechanical Engineering: Compulsory
Engineering Science: Specialisation Biomedical Engineering: Compulsory
Engineering Science: Specialisation Mechatronics: 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 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 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
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: 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 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 II. Traffic Planning and Systems: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation II. Production Management and Processes: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation II. 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 M1752: Practical module 3 (dual study program, Bachelor's degree)
Courses
Title Typ Hrs/wk CP
Practical term 3 (dual study program, Bachelor's degree) (L2881) 0 6
Module Responsible Dr. Henning Haschke
Admission Requirements None
Recommended Previous Knowledge
  • Successful completion of practical module 2 as part of the dual Bachelor’s course
  • course B from the module on interlinking theory and practice as part of the dual Bachelor’s course
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Dual students …

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

Dual students …

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

Dual students …

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

Dual students …

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

Company onboarding process

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

Operational knowledge and skills

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

Sharing/reflecting on learning

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

Module M0865: Fundamentals of Production and Quality Management
Courses
Title Typ Hrs/wk CP
Production Process Organization (L0925) Lecture 2 3
Quality Management (L0926) Lecture 2 3
Module Responsible Prof. Hermann Lödding
Admission Requirements None
Recommended Previous Knowledge None
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge Students are able to explain the contents of the lecture of the module.
Skills Students are able to apply the methods and models in the module to industrial problems.
Personal Competence
Social Competence -
Autonomy -
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 180 Minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Elective Compulsory
Engineering Science: Specialisation Mechatronics: Elective Compulsory
Engineering Science: Specialisation Mechanical Engineering: Elective Compulsory
Engineering Science: Specialisation Advanced Materials: Elective Compulsory
Engineering Science: Specialisation Mechanical Engineering: Elective Compulsory
Engineering Science: Specialisation Mechanical Engineering and Management: Compulsory
Logistics and Mobility: Specialisation Production Management and Processes: Compulsory
Mechanical Engineering: Core Qualification: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation II. Production Management and Processes: Compulsory
Course L0925: Production Process Organization
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Hermann Lödding
Language EN
Cycle SoSe
Content

(A)        Introduction

(B)        Product planning

(C)        Process planning

(D)        Procurement

(E)         Manufacturing

(F)         Production planning and control (PPC)

(G)        Distribution

(H)        Cooperation
Literature

Wiendahl, H.-P.: Betriebsorganisation für Ingenieure

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

Module 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 M0934: Advanced Materials for Sustainability
Courses
Title Typ Hrs/wk CP
Advanced Materials Characterization (L1087) Lecture 2 2
Advanced Materials for Sustainability (L1091) Lecture 2 2
Advanced Materials for Sustainability (L1092) Recitation Section (large) 2 2
Module Responsible Prof. Patrick Huber
Admission Requirements None
Recommended Previous Knowledge Fundamentals of Materials Science (I and II)
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

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

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

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

The students are able to ...

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

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

William D. Callister, Materials Science and Technology, Wiley& Sons, Inc. (2007).
Course L1091: Advanced Materials for Sustainability
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Patrick Huber, Prof. Bodo Fiedler, Prof. Gerold Schneider, Prof. Jörg Weißmüller, Prof. Kaline Pagnan Furlan, Prof. Robert Meißner
Language DE/EN
Cycle SoSe
Content


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

Module M1805: Computational Mechanics
Courses
Title Typ Hrs/wk CP
Computational Mechanics (Exercises) (L1138) Recitation Section (small) 2 2
Computational Multibody Dynamics (L1137) Integrated Lecture 2 2
Computational Stuctural Mechanics (L2475) Integrated Lecture 2 2
Module Responsible Prof. Robert Seifried
Admission Requirements None
Recommended Previous Knowledge

Mathematics I-III and Engineering Mechanics I-III
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students can

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

The students can

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

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

Students are capable of determining their own strengths and weaknesses and to organize their time and learning based on those.
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement
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: 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, Dr. Kevin Linka
Language DE
Cycle SoSe
Content

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

  • Basics of linear continuum mechanics
  • Planar structures: plate, membrane, slab
  • Linientragwerke: beam, cable, truss
  • Weak form and Galerkin's method
  • Finite element method: theory and application
  • Principles of mechanics: principle of virtual work, virtual displacements, virtual forces
Literature Gross, Hauger, Wriggers, "Technische Mechanik 4", Springer

Module M0680: Fluid Dynamics
Courses
Title Typ Hrs/wk CP
Fluid Mechanics (L0454) Lecture 3 4
Fluid Mechanics (L0455) Recitation Section (large) 2 2
Module Responsible Prof. Thomas Rung
Admission Requirements None
Recommended Previous Knowledge

Students should have sound knowledge of engineering mathematics, engineering mechanics and thermodynamics.
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students will have the required sound knowledge to explain the general principles of fluid engineering and physics of fluids. They are familiar with the similarities and differences between fluid mechanics and neighbouring subjects (thermodynamics, structural mechanics). Students can scientifically outline the rationale of flow physics using mathematical models. They are familiar with most performance analysis methods -in particular their realms and limitations- and the prediction of fluid engineering devices.
Skills

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

The students are able to discuss problems, present the results of their own analysis, and jointly develop solution strategies that address given technical goals.
Autonomy

The students are able to develop solution strategies for complex problems self-consistent. They are able to critically analyse own results as well as external data with regards to the plausibility and reliability.
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 180 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Naval Architecture: Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Naval Architecture: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0454: Fluid Mechanics
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Thomas Rung
Language DE/EN
Cycle SoSe
Content
  • continuum physics definition of fluids, difference to solids/structures and material properties of fluids
  • dimensional analysis and similitude
  • fluid forces and fluid statics
  • transport and conservation of mass, momentum & energy 
  • fluid kinematics
  • technically relevant flow models for incompressible fluids
    • control volume & stream tube analysis
    • vortical flow models
    • potential flows
    • boundary layer flows
    • different types of conservation equations and their realm
      (Navier-Stokes/Euler/Bernoulli equations)
    • analytical solutions for Navier-Stokes systems
  • Analysis of internal flows (channels, pipes, open channels) and external flows, fundamentals of wing aerodynamics
  • turbulent flows
  • fundamentals of gas dynamics (1D compressible flows)
Literature
  • the course primarily refers to / das Modul stütz sich bevorzugt auf :
    Munson, B.R.; Rothmayer, A.P.; Okiishi, T.H.; Huebsch, W.W.: Fundamentals of Fluid Mechanics, John Wiley & Sons.

  • Spurk, J.; Aksel, N.: Strömungslehre, Springer.
  • Schade, H.; Kunz, E., Kameier, F.; Paschereit, C.O.: Strömungslehere, De Gruyter.
  • Herwig, H.: Strömungsmechanik, Springer.
  • Herwig, H.: Strömungsmechanik von A-Z, Vieweg.
Course L0455: Fluid Mechanics
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Thomas Rung
Language DE/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1753: Practical module 4 (dual study program, Bachelor's degree)
Courses
Title Typ Hrs/wk CP
Practical term 4 (dual study program, Bachelor's degree) (L2882) 0 6
Module Responsible Dr. Henning Haschke
Admission Requirements None
Recommended Previous Knowledge
  • Successful completion of practical module 3 as part of the dual Bachelor’s course
  • course B from the module on interlinking theory and practice as part of the dual Bachelor’s course
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Dual students …

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

Dual students …

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

Dual students …

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

Dual students …

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

Company onboarding process

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

Operational knowledge and skills

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

Sharing/reflecting on learning

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

Module 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 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: 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 M0596: Advanced Mechanical Design Project
Courses
Title Typ Hrs/wk CP
Advanced Mechanical Design Project (L0266) Project-/problem-based Learning 4 6
Module Responsible Dr. Jens Schmidt
Admission Requirements None
Recommended Previous Knowledge
  • Mechanical Engineering: Design
  • Advanced Mechanical Engineering Design
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

After passing the module, students are able to:

  • express the procedure for systematically handling of
  • complex design tasks ,
  • describe working principles, their use and combination possibilities,
  • explain guidelines for designing for function and manufacturing,
  • explain advanced use-oriented knowledge of machine elements.
Skills

After passing the module, students are able to:

  • analyze complex tasks and develop principle solutions using sketches,
  • convert principle solutions into a detailed design,
  • use methods to design and solve engineering design tasks systematically and solution-oriented,
  • create a technical documentation including all necessary technical drawings to understand the functions of the system,
  • document calculations of selected machine elements clearly and in detail.
Personal Competence
Social Competence

After passing the module, students are able to:

  • present and discuss solutions and technical drawings within groups,
  • reflect the own results in the work groups of the course
Autonomy

After passing the module, students are able to:

  • independently solve complex design projects, while motivating themselves, acquiring necessary knowledge and selecting appropriate methods,
  • to independently solve problems.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes None Attestation
Examination Written exam
Examination duration and scale 180
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Course L0266: Advanced Mechanical Design Project
Typ Project-/problem-based Learning
Hrs/wk 4
CP 6
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Lecturer Dr. Jens Schmidt, Dr. Volkert Wollesen
Language DE
Cycle WiSe
Content

Das Konstruktionsprojekt gliedert sich in den Entwurf eines Getriebes sowie die Lösungsfindung.

  • Getriebekonstruktion in Einzelarbeit
    • Erarbeitung von Lösungsprinzipien
    • Berechnung von Maschinenelementen
    • Entwurf eines Getriebes im Hauptschnitt plus allen Außenansichten
    • Erstellung einer ausführlichen Dokumentation
  • Lösungsfindung
    • Methodische  Erarbeitung von prinzipiellen Lösungskonzepten
    • Erstellen einer Dokumentation
Literature
  • Dubbel, Taschenbuch für den Maschinenbau; Grote, K.-H., Feldhusen, J.(Hrsg.); Springer-Verlag, aktuelle Auflage.
  • Maschinenelemente, Band I-III; Niemann, G., Springer-Verlag, aktuelle Auflage.
  •  Maschinen- und Konstruktionselemente; Steinhilper, W., Röper, R., Springer Verlag, aktuelle Auflage.
  •  Einführung in die DIN-Normen; Klein, M., Teubner-Verlag.
  •  Konstruktionslehre, Pahl, G.; Beitz, W., Springer-Verlag, aktuelle Auflage.
  •  Maschinenelemente 1-2; Schlecht, B., Pearson Verlag, aktuelle Auflage.
  •  Maschinenelemente - Gestaltung, Berechnung, Anwendung; Haberhauer, H., Bodenstein, F., Springer-Verlag, aktuelle Auflage.
  • Roloff/Matek Maschinenelemente; Wittel, H., Muhs, D., Jannasch, D., Voßiek, J., Springer Vieweg, aktuelle Auflage.
  • Sowie weitere Bücher zu speziellen Themen

Module 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 M1754: Practical module 5 (dual study program, Bachelor's degree)
Courses
Title Typ Hrs/wk CP
Practical term 5 (dual study program, Bachelor's degree) (L2883) 0 6
Module Responsible Dr. Henning Haschke
Admission Requirements None
Recommended Previous Knowledge
  • Successful completion of practical module 4 as part of the dual Bachelor’s course
  • course C from the module on interlinking theory and practice as part of the dual Bachelor’s course
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Dual students …

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

Dual students …

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

Dual students …

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

Dual students …

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

Company onboarding process

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

Operational knowledge and skills

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

Sharing/reflecting on learning

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

Module M0829: Foundations of Management
Courses
Title Typ Hrs/wk CP
Management Tutorial (L0882) Recitation Section (small) 2 3
Introduction to Management (L0880) Lecture 3 3
Module Responsible Prof. 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: 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. 

Specialization Biomechanics

Due to the ever increasing demands on the health system of an aging population, mechanization is of great importance. Both individual implants and instruments as well as large appliances used for diagnostics and therapy, medical and engineering science staff must work increasingly close together to meet the new requirements. For engineers, this means that they can understand and influence project management, and development and research have what they learn in this specialization in addition to specific engineering fundamentals and medical and business aspects of patient care.

Module M1277: MED I: Introduction to Anatomy
Courses
Title Typ Hrs/wk CP
Introduction to Anatomy (L0384) Lecture 2 3
Module Responsible Prof. Michael Morlock
Admission Requirements None
Recommended Previous Knowledge

Students can listen to the lectures without any prior knowledge. Basic school knowledge of biology, chemistry / biochemistry, physics and Latin can be useful.
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The lectures are about microscopic anatomy, describing the microscopic structure of tissues and organs, and about macroscopic anatomy which is about organs and organ systems. The lectures also contain an introduction to cell biology, human development and to the central nervous system. The fundamentals of radiologic imaging are described as well, using projectional x-ray and cross-sectional images. The Latin terms are introduced.
Skills

At the end of the lecture series the students are able to describe the microscopic as well as the macroscopic assembly and functions of the human body. The Latin terms are the prerequisite to understand medical literature. This knowledge is needed to understand und further develop medical devices.

These insights in human anatomy are the fundamentals to explain the role of structure and function for the development of common diseases and their impact on the human body.
Personal Competence
Social Competence

The students can participate in current discussions in biomedical research and medicine on a professional level. The Latin terms are prerequisite for communication with physicians on a professional level.
Autonomy

The lectures are an introduction to the basics of anatomy and should encourage students to improve their knowledge by themselves. Advice is given as to which further literature is suitable for this purpose. Likewise, the lecture series encourages students to recognize and think critically about biomedical problems.
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Credit points 3
Course achievement None
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
Data Science: Specialisation II. Application: Elective Compulsory
Electrical Engineering: Specialisation Medical Technology: Elective Compulsory
Engineering Science: Specialisation Biomedical Engineering: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Compulsory
Mechanical Engineering: Specialisation Biomechanics: Compulsory
Mechatronics: Specialisation Medical Engineering: Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0384: Introduction to Anatomy
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr. Thorsten Frenzel
Language DE
Cycle SoSe
Content

General Anatomy

1st week:             The Eucaryote Cell

2nd week:             The Tissues

3rd week:             Cell Cycle, Basics in Development

4th week:             Musculoskeletal System

5th week:             Cardiovascular System

6th week:             Respiratory System   

7th week:             Genito-urinary System

8th week:             Immune system

9th week:             Digestive System I

10th week:           Digestive System II

11th week:           Endocrine System

12th week:           Nervous System

13th week:           Exam
Literature

Adolf Faller/Michael Schünke, Der Körper des Menschen, 18. Auflage, Thieme Verlag Stuttgart, 2020, 704 Seiten, ISBN 978-3-13-243820-0

Module M1278: MED I: Introduction to Radiology and Radiation Therapy
Courses
Title Typ Hrs/wk CP
Introduction to Radiology and Radiation Therapy (L0383) Lecture 2 3
Module Responsible Prof. Michael Morlock
Admission Requirements None
Recommended Previous Knowledge None
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge Therapy

The students can distinguish different types of currently used equipment with respect to its use in radiation therapy.

The students can explain treatment plans used in radiation therapy in interdisciplinary contexts (e.g. surgery, internal medicine).

The students can describe the patients' passage from their initial admittance through to follow-up care.

Diagnostics

The students can illustrate the technical base concepts of projection radiography, including angiography and mammography, as well as sectional imaging techniques (CT, MRT, US).

The students can explain the diagnostic as well as therapeutic use of imaging techniques, as well as the technical basis for those techniques.

The students can choose the right treatment method depending on the patient's clinical history and needs.

The student can explain the influence of technical errors on the imaging techniques.

The student can draw the right conclusions based on the images' diagnostic findings or the error protocol.
Skills Therapy

The students can distinguish curative and palliative situations and motivate why they came to that conclusion.

The students can develop adequate therapy concepts and relate it to the radiation biological aspects.

The students can use the therapeutic principle (effects vs adverse effects)

The students can distinguish different kinds of radiation, can choose the best one depending on the situation (location of the tumor) and choose the energy needed in that situation (irradiation planning).

The student can assess what an individual psychosocial service should look like (e.g. follow-up treatment, sports, social help groups, self-help groups, social services, psycho-oncology).

Diagnostics

The students can suggest solutions for repairs of imaging instrumentation after having done error analyses.

The students can classify results of imaging techniques according to different groups of diseases based on their knowledge of anatomy, pathology and pathophysiology.
Personal Competence
Social Competence The students can assess the special social situation of tumor patients and interact with them in a professional way.

The students are aware of the special, often fear-dominated behavior of sick people caused by diagnostic and therapeutic measures and can meet them appropriately.
Autonomy The students can apply their new knowledge and skills to a concrete therapy case.

The students can introduce younger students to the clinical daily routine.

The students are able to access anatomical knowledge by themselves, can participate competently in conversations on the topic and acquire the relevant knowledge themselves.
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Credit points 3
Course achievement None
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
Data Science: Specialisation II. Application: Elective Compulsory
Electrical Engineering: Specialisation Medical Technology: Elective Compulsory
Engineering Science: Specialisation Biomedical Engineering: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Compulsory
Mechanical Engineering: Specialisation Biomechanics: Compulsory
Mechatronics: Specialisation Medical Engineering: Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0383: Introduction to Radiology and Radiation Therapy
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr. Thorsten Frenzel
Language DE
Cycle SoSe
Content

The students will be given an understanding of the technological possibilities in the field of medical imaging, interventional radiology and radiation therapy/radiation oncology. It is assumed, that students in the beginning of the course have heard the word “X-ray” at best. It will be distinguished between the two arms of diagnostic (Prof. Dr. med. Thomas Vestring) and therapeutic (Prof. Dr. med. Ulrich Carl) use of X-rays. Both arms depend on special big units, which determine a predefined sequence in their respective departments
Literature

  • "Technik der medizinischen Radiologie"  von T. + J. Laubenberg -

    7. Auflage - Deutscher Ärzteverlag -  erschienen 1999

  • "Klinische Strahlenbiologie" von Th. Herrmann, M. Baumann und W. Dörr -

    4. Auflage - Verlag Urban & Fischer -  erschienen 02.03.2006

    ISBN: 978-3-437-23960-1

  • "Strahlentherapie und Onkologie für MTA-R" von R. Sauer -

             5. Auflage 2003 - Verlag Urban & Schwarzenberg - erschienen 08.12.2009

             ISBN: 978-3-437-47501-6

  • "Taschenatlas der Physiologie" von S. Silbernagel und A. Despopoulus‑                

    8. Auflage - Georg Thieme Verlag - erschienen 19.09.2012

    ISBN: 978-3-13-567708-8

  • "Der Körper des Menschen " von A. Faller  u. M. Schünke -

    16. Auflage 2004 - Georg Thieme Verlag -  erschienen 18.07.2012

    ISBN: 978-3-13-329716-5

  • „Praxismanual Strahlentherapie“ von Stöver / Feyer -

    1. Auflage - Springer-Verlag GmbH -  erschienen 02.06.2000

Module M1279: MED II: Introduction to Biochemistry and Molecular Biology
Courses
Title Typ Hrs/wk CP
Introduction to Biochemistry and Molecular Biology (L0386) Lecture 2 3
Module Responsible Prof. Hans-Jürgen Kreienkamp
Admission Requirements None
Recommended Previous Knowledge None
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge The students can
  • describe basic biomolecules;
  • explain how genetic information is coded in the DNA;
  • explain the connection between DNA and proteins;
Skills The students can
  • recognize the importance of molecular parameters for the course of a disease;
  • describe selected molecular-diagnostic procedures;
  • explain the relevance of these procedures for some diseases
Personal Competence
Social Competence

The students can participate in discussions in research and medicine on a technical level.

Students will have an improved understanding of current medical problems (e.g. Corona pandemic)and will be able to explain these issues to others.
Autonomy

The students can develop an understanding of topics from the course, using technical literature, by themselves.

Students will be better equipped to recognize fake news in the media regarding medical research topics. 
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Credit points 3
Course achievement None
Examination Written exam
Examination duration and scale 60 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
Electrical Engineering: Specialisation Medical Technology: Elective Compulsory
Engineering Science: Specialisation Biomedical Engineering: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Compulsory
Mechanical Engineering: Specialisation Biomechanics: Compulsory
Mechatronics: Specialisation Medical Engineering: Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0386: Introduction to Biochemistry and Molecular Biology
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Hans-Jürgen Kreienkamp
Language DE
Cycle WiSe
Content
Literature

Müller-Esterl, Biochemie, Spektrum Verlag, 2010; 2. Auflage

Löffler, Basiswissen Biochemie, 7. Auflage, Springer, 2008




Module M1333: BIO I: Implants and Fracture Healing
Courses
Title Typ Hrs/wk CP
Implants and Fracture Healing (L0376) Lecture 2 3
Module Responsible Prof. Michael Morlock
Admission Requirements None
Recommended Previous Knowledge

It is recommended to participate in "Introduction into Anatomie" before attending "Implants and Fracture Healing".
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge The students can describe the different ways how bones heal, and the requirements for their existence.

The students can name different treatments for the spine and hollow bones under given fracture morphologies.
Skills

The students can determine the forces acting within the human body under quasi-static situations under specific assumptions.
Personal Competence
Social Competence

The students can, in groups, solve basic numerical modeling tasks for the calculation of internal forces.
Autonomy

The students can, in groups, solve basic numerical modeling tasks for the calculation of internal forces.
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Credit points 3
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
Engineering Science: Specialisation Biomedical Engineering: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Compulsory
Mechanical Engineering: Specialisation Biomechanics: Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Orientation Studies: Core Qualification: Elective Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0376: Implants and Fracture Healing
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Michael Morlock
Language DE
Cycle WiSe
Content

Topics to be covered include:

1.    Introduction (history, definitions, background importance)

2.    Bone (anatomy, properties, biology, adaptations in femur, tibia, humerus, radius)

3.    Spine (anatomy, biomechanics, function, vertebral bodies, intervertebral disc, ligaments)

3.1  The spine in its entirety

3.2  Cervical spine

3.3  Thoracic spine

3.4  Lumbar spine

3.5  Injuries and diseases

4.    Pelvis (anatomy, biomechanics, fracture treatment)

5     Fracture Healing

5.1  Basics and biology of fracture repair

5.2  Clinical principals and terminology of fracture treatment

5.3  Biomechanics of fracture treatment

5.3.1    Screws

5.3.2    Plates

5.3.3    Nails

5.3.4    External fixation devices

5.3.5    Spine implants

6.0       New Implants


Literature

Cochran V.B.: Orthopädische Biomechanik

Mow V.C., Hayes W.C.: Basic Orthopaedic Biomechanics

White A.A., Panjabi M.M.: Clinical biomechanics of the spine

Nigg, B.: Biomechanics of the musculo-skeletal system

Schiebler T.H., Schmidt W.: Anatomie

Platzer: dtv-Atlas der Anatomie, Band 1 Bewegungsapparat

Module M1280: MED II: Introduction to Physiology
Courses
Title Typ Hrs/wk CP
Introduction to Physiology (L0385) Lecture 2 3
Module Responsible Prof. Michael Morlock
Admission Requirements None
Recommended Previous Knowledge None
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge The students can
  • describe the basics of the energy metabolism;
  • describe physiological relations in selected fields of muscle, heart/circulation, neuro- and sensory physiology.
Skills The students can describe the effects of basic bodily functions (sensory, transmission and processing of information, development of forces and vital functions) and relate them to similar technical systems.
Personal Competence
Social Competence The students can conduct discussions in research and medicine on a technical level.

The students can find solutions to problems in the field of physiology, both analytical and metrological.
Autonomy

The students can derive answers to questions arising in the course and other physiological areas, using technical literature, by themselves.
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Credit points 3
Course achievement None
Examination Written exam
Examination duration and scale 60 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
Electrical Engineering: Specialisation Medical Technology: Elective Compulsory
Engineering Science: Specialisation Biomedical Engineering: Elective Compulsory
General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Elective Compulsory
Mechanical Engineering: Specialisation Biomechanics: Compulsory
Mechatronics: Specialisation Medical Engineering: Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0385: Introduction to Physiology
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr. Gerhard Engler
Language DE
Cycle SoSe
Content
Literature

Taschenatlas der Physiologie, Silbernagl Despopoulos, ISBN 978-3-135-67707-1, Thieme

Repetitorium Physiologie, Speckmann, ISBN 978-3-437-42321-5, Elsevier

Module M1332: BIO I: Experimental Methods in Biomechanics
Courses
Title Typ Hrs/wk CP
Experimental Methods in Biomechanics (L0377) Lecture 2 3
Module Responsible Dr. Gerd Huber
Admission Requirements None
Recommended Previous Knowledge

It is recommended to participate in "Implantate und Frakturheilung" before attending "Experimentelle Methoden".
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The course deals with common experimental methods used in biomechanics. For each topic an overview and some basic practical knowledge is provided.

1. Tribology
2. Optical Methods
3. Motion Analysis
4. Pressure Distribution
5. Strain Gauges
6. Pre-clinical testing
7. Specimen Preparation and Storage


The students can describe the different ways how bones heal, and the requirements for their existence.

The students can name different treatments for the spine and hollow bones under given fracture morphologies.

The students can describe different measurement techniques for forces and movements, and choose the adequate technique for a given task.
Skills

The students can describe the basic handling of several experimental techniques used in biomechanics.
Personal Competence
Social Competence

Students are able to organize themselves as a group to solve simple experimental tasks together. On the one hand, the division of tasks must be organized during the experiment as well as during the short written elaboration, but on the other hand, the knowledge acquired must be available to all participants of the group afterwards. The challenge here is that the topics change quickly because fundamentally different measurement principles are taught. In addition, a strict time management is expected.
Autonomy

Students perform simple experimental tasks in small groups or create simple sensors (e.g. strain gauges). The preceding lecture serves as a basis for these experiments. As preparation or follow-up, the theoretical knowledge has to be worked up and related to the experimental result. In particular, independent transfer performance is necessary to clarify why experimental observations can show deviations from the theoretical values and how these deviations can be compensated.
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Credit points 3
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
Engineering Science: Specialisation Biomedical Engineering: Elective Compulsory
General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Elective Compulsory
Mechanical Engineering: Specialisation Biomechanics: Compulsory
Mechatronics: Specialisation Medical Engineering: Elective Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0377: Experimental Methods in Biomechanics
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr. Gerd Huber, Prof. Michael Morlock
Language DE
Cycle SoSe
Content

The course deals with common experimental methods used in biomechanics. For each topic an overview and some basic practical knowledge is provided.

1. Tribology
2. Optical Methods
3. Motion Analysis
4. Pressure Distribution
5. Strain Gauges
6. Pre-clinical testing
7. Specimen Preparation and Storage
Literature

Hoffmann K., Eine Einführung in die Technik des Messens mit Dehnmessstreifen

White A.A., Panjabi M.M.: Clinical biomechanics of the spine

Nigg, B.: Biomechanics of the musculo-skeletal system

Online Hilfe von Mathworks: https://de.mathworks.com/help/matlab/

Specialization Energy Systems

The aim of this specialization is to familiarize students with different technologies for energy conversion, energy distribution and energy application. Processes can be analyzed using scientific methods, as well as abstracted and modeled, and are also documented. Students can evaluate data and results and from those develop strategies for the development of innovative solutions.

Module M0684: Heat Transfer
Courses
Title Typ Hrs/wk CP
Heat Transfer (L0458) Lecture 3 4
Heat Transfer (L0459) Recitation Section (large) 2 2
Module Responsible Dr. Andreas Moschallski
Admission Requirements None
Recommended Previous Knowledge Technical Thermodynamics I, II and Fluid Dynamics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students can

- explain the technical terms,

- classify the various physical processes of heat transfer in terms of conduction-based and radiation-based mechanisms,

- simplify and critically analyze complex heat transfer processes using models,

- methodically develop solutions to tasks.
Skills

The students are able to

- describe the physics of the different Heat Transfer mechanism,

- simplifywith models, calculate and evaluate complex Heat Transfer processes,

- critically question and answer statements on heat transfer,

- solve excersises self-consistent and in small groups.
Personal Competence
Social Competence

In lectures and exercises, the students can use many examples and experiments to discuss in small groups in a goal-oriented manner, develop a solution and present it. Within the exercises, the students can independently develop further questions and work out targeted solutions.
Autonomy

The students can check their level of knowledge by means of repetition questions at the beginning of the lectures and describe and discuss answers in exchange with the other students. In the exercises, the students work in small groups on the methods taught in the lectures in complex tasks and critically analyze the results in the auditorium.
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Compulsory
Energy Systems: Technical Complementary Course Core Studies: Elective Compulsory
Mechanical Engineering: Specialisation Energy Systems: Compulsory
Mechanical Engineering: Specialisation Theoretical Mechanical Engineering: Elective Compulsory
Course L0458: Heat Transfer
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Dr. Andreas Moschallski
Language DE
Cycle WiSe
Content

Dimensional analysis, Heat Conduction (steady and unsteady) , Convective Heat Transfer (natural convection, forced convection), Two-phase Heat Transfer (evaporation, condensation), Thermal Radiation, Heat Transfer on a thermodynamic view, thermotechnical devices, measures of temperature and heat flux
Literature

- Herwig, H.; Moschallski, A.: Wärmeübertragung, 4. Auflage, Springer Vieweg Verlag, Wiesbaden, 2019

- Herwig, H.: Wärmeübertragung von A-Z, Springer- Verlag, Berlin, Heidelberg, 2000

- Baehr, H.D.; Stephan, K.: Wärme- und Stoffübertragung, 2. Auflage, Springer Verlag, Berlin, Heidelberg, 1996
Course L0459: Heat Transfer
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Dr. Andreas Moschallski
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1022: Reciprocating Machinery
Courses
Title Typ Hrs/wk CP
Fundamentals of Reciprocating Engines and Turbomachinery - Part Reciprocating Engines (L0633) Lecture 1 1
Fundamentals of Reciprocating Engines and Turbomachinery - Part Reciprocating Engines (L0634) Recitation Section (large) 1 1
Internal Combustion Engines I (L0059) Lecture 2 2
Internal Combustion Engines I (L0639) Recitation Section (large) 1 2
Module Responsible Prof. Christopher Friedrich Wirz
Admission Requirements None
Recommended Previous Knowledge Thermodynamics, Mechanics, Machine Elements
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

As a result of the part module „Fundamentals of Reciprocating Machinery”, the students are able to reflect fundamentals regarding power and working machinery and describe the qualitative and quantitative correlations of operating methods and efficiencies of multiple types of engines, compressors and pumps. They are able to utilize technical terms and parameters as well as aspects regarding the development of power density and efficiency, furthermore to give an overview of charging systems, fuels and emissions. The students are able to select specific types of machinery and assess design related and operational problems.

As a result of the part module “Internal Combustion Engines I”, the students are able reflect and utilize the state-of-the-art regarding efficiency limits. In addition, they are able to utilize their knowledge of design, mechanical and thermodynamic characteristics and the approach of similarity. They are able to explain, assess and develop engines as well as charging systems. Detailed knowledge is present regarding computer-aided process design. 
Skills

The students are skilled to employ basic and detail knowledge regarding reciprocating machinery, their selection and operation. They are further able to assess, analyse and solve technical and operational problems and to perform mechanical and thermodynamic design.


Personal Competence
Social Competence

The students are able to communicate and cooperate in a professional environment in the field of machinery design and application.


Autonomy

The widespread scope of gained knowledge enables the students to handle situations in their future profession independently and confidently.


Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Compulsory
Energy Systems: Technical Complementary Course Core Studies: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory
Mechanical Engineering: Specialisation Energy Systems: Compulsory
Course L0633: Fundamentals of Reciprocating Engines and Turbomachinery - Part Reciprocating Engines
Typ Lecture
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Christopher Friedrich Wirz
Language DE
Cycle WiSe
Content
  • Verbrennungsmotoren
    • Historischer Rückblick
    • Einteilung der Verbrennungsmotoren
    • Arbeitsverfahren
    • Vergleichsprozesse
    • Arbeit, Mitteldrücke, Leistungen
    • Arbeitsprozess des wirklichen Motors
    • Wirkungsgrade
    • Gemischbildung und Verbrennung
    • Motorkennfeld und Betriebskennlinien
    • Abgasentgiftung
    • Gaswechsel
    • Aufladung
    • Kühl- und Schmiersystem
    • Kräfte im Triebwerk
  • Kolbenverdichter
    • Thermodynamik des Kolbenverdichters
    • Einteilung und Verwendung
  • Kolbenpumpen
    • Prinzip der Kolbenpumpen
    • Einteilung und Verwendung
Literature
  • A. Urlaub: Verbrennungsmotoren
  • W. Kalide: Kraft- und Arbeitsmaschinen
Course L0634: Fundamentals of Reciprocating Engines and Turbomachinery - Part Reciprocating Engines
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Christopher Friedrich Wirz
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L0059: Internal Combustion Engines I
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Christopher Severin
Language DE
Cycle SoSe
Content
  • The beginnings of engine development
  • Design of of motors
  • Real process calculation
  • Charging methods
  • Kinematics of the crank mechanism
  • Forces in the engine
Literature
  • Vorlesungsskript
  • Übungsaufgaben mit Lösungsweg
  • Literaturliste
Course L0639: Internal Combustion Engines I
Typ Recitation Section (large)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Christopher Severin
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0655: Computational Fluid Dynamics I
Courses
Title Typ Hrs/wk CP
Computational Fluid Dynamics I (L0235) Lecture 2 3
Computational Fluid Dynamics I (L0419) Recitation Section (large) 2 3
Module Responsible Prof. Thomas Rung
Admission Requirements None
Recommended Previous Knowledge

Students should have sound knowledge of engineering mathematics (series expansions, internal & vector calculus), and be familiar with the foundations of partial/ordinary differential equations. They should also be familiar with engineering fluid mechanics and thermodynamics.
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students will have the required combined knowledge of thermo-/fluid dynamics and numerical analysis to translate general principles of thermo-/fluid engineering into discrete algorithms on the basis of local (finite differences/volumes) and global (potential theory) ansatz functions. They are familiar with the similarities and differences between different discretisation and approximation concepts for investigating coupled systems of non-linear, convective partial differential equations (PDE), and explain the motivation for applying them. Students have the required background knowledge to develop, code, explain and apply numerical algorithms dedicated to the solution of thermofluid  dynamic PDEs. They are familiar with most numerical methods used to predict thermofluid dynamic fields, in particular their realms and limitations.
Skills

The students are able choose and apply appropriate numerical procedures that integrate the governing thermofluid dynamic PDEs in space and time. They can apply/optimise numerical analysis concepts to/for fluid dynamic applications. They can code computational algorithms in a structured way, apply these codes for parameter investigations and supplement interfaces to extract simulation data for an engineering analysis.  
Personal Competence
Social Competence

The students are able to discuss problems, present the results of their own analysis, and jointly develop, implement and report on solution strategies that address given technical reference problems.
Autonomy

The students can independently analyse numerical methods to solving fluid engineering problems. They are able to critically analyse own results as well as external data with regards to the plausibility and reliability.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 2h
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Naval Architecture: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Elective Compulsory
Energy Systems: Technical Complementary Course Core Studies: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Maritime Technologies: Elective Compulsory
Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Naval Architecture: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L0235: Computational Fluid Dynamics I
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Thomas Rung
Language DE
Cycle WiSe
Content

Fundamentals of computational modelling of thermofluid dynamic problems. Development of numerical algorithms.

  1. Partial differential equations
  2. Foundations of finite numerical approximations
  3. Computation of potential flows
  4. Introduction of finite-differences
  5. Approximation of convective, diffusive and transient transport processes
  6. Formulation of boundary conditions and initial conditions
  7. Assembly and solution of algebraic equation systems
  8. Facets of weighted -residual approaches
  9. Finite volume methods
  10. Basics of grid generation
Literature

Ferziger and Peric: Computational Methods for Fluid Dynamics, Springer
Course L0419: Computational Fluid Dynamics I
Typ Recitation Section (large)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Thomas Rung
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0639: Gas and Steam Power Plants
Courses
Title Typ Hrs/wk CP
Gas and Steam Power Plants (L0206) Lecture 3 5
Gas and Steam Power Plants (L0210) Recitation Section (large) 1 1
Module Responsible Dozenten des SD M
Admission Requirements None
Recommended Previous Knowledge
  • "Technical Thermodynamics I and II"
  • "Heat Transfer"
  • "Fluid Mechanics"
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students can evaluate the development of the electricity demand and the energy conversion routes in the thermal power plant, describe the various types of power plant and the layout of the steam generator block. They are also able to determine the operation characteristics of the power plant. Additionally they can describe the exhaust gas cleaning apparatus and the combination possibilities of conventional fossil-fuelled power plants with solar thermal and geothermal power plants or plants equipped with Carbon Capture and Storage.

The students have basic knowledge about the principles, operation and design of turbomachinery
Skills

The students will be able, using theories and methods of the energy technology from fossil fuels and based on well-founded knowledge on the function and construction of gas and steam power plants, to identify basic associations in the production of heat and electricity, so as to develop conceptual solutions. Through analysis of the problem and exposure to the inherent interplay between heat and power generation the students are endowed with the capability and methodology to develop realistic optimal concepts for the generation of electricity and the production of heat. From the technical basics the students become the ability to follow better the deliberations on the electricity mix composition within the energy-political triangle (economy, secure supply and environmental protection).

Within the framework of the exercise the students learn the use of the specialised software suite EBSILON ProfessionalTM. With this tool small practical tasks are solved with the PC, to highlight aspects of the design and development of power plant cycles.

The students are able to do simplified calculations on turbomachinery either as part of a plant, as single component or at stage level.
Personal Competence
Social Competence An excursion within the framework of the lecture is planned for students that are interested. The students get in this manner direct contact with a modern power plant in this region. The students will obtain first-hand experience with a power plant in operation and gain insights into the conflicts between technical and political issues.
Autonomy

The students assisted by the tutors will be able to develop alone simple simulation models and run with these scenario analyses. In this manner the theoretical and practical knowledge from the lecture is consolidated and the potential effects from different process combinations and boundary conditions highlighted. The students are able independently to analyse the operational performance of steam power plants and calculate selected quantities and characteristic curves.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 5 % Excercises Sechs Übungsaufgaben mit Ebsilon-Professional, bis zu insgesamt 5 % Bonus je nach Anteil richtiger Abgaben
No 5 % Presentation 15-minütiges, unbenotetes Testat über EBSILON Professional; nur bestanden/nicht bestanden (keine anteiligen Punkte)
Examination Written exam
Examination duration and scale Written examination of 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Renewable Energy: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Elective Compulsory
Energy Systems: Technical Complementary Course Core Studies: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory
Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Course L0206: Gas and Steam Power Plants
Typ Lecture
Hrs/wk 3
CP 5
Workload in Hours Independent Study Time 108, Study Time in Lecture 42
Lecturer Dr. Lars Wiese, Dr. Stylianos Rafailidis
Language DE
Cycle WiSe
Content

In the 1st part of the lecture an overview on thermal power plants is offered, including:

  • Electricity demand and Forecasting
  • Thermodynamic fundamentals
  • Energy Conversion in thermal power plants
  • Types of power plant
  • Layout of the power plant block
  • Individual elements of the power plant
  • Cooling systems
  • Flue gas cleaning
  • Operation characteristics of the power plant
  • Construction materials for power plants
  • Location of power plants
  • Solar thermal plants/geothermal plants/Carbon Capture and Storage plants.

These are complemented in the 2nd part of the module by the more specialised issues:

  • Energy balance of a turbomachine
  • Theory of turbine and compressor stage
  • Equal and positive pressure blading
  • Flow losses
  • Characteristic numbers
  • Axial and radial design
  • Design features
  • Hydraulic turbomachines
  • Pump and water turbine designs
  • Design examples of reciprocating engines and turbomachinery
  • Steam power plants
  • Gas turbine systems.
Literature
  • Kalide: Kraft- und Arbeitsmaschinen
  • Thomas, H.J.: Thermische Kraftanlagen. Springer-Verlag, 1985
  • Strauß, K.: Kraftwerkstechnik. Springer-Verlag, 2006
  • Kugeler und Phlippen: Energietechnik. Springer-Verlag, 1990
  • Bohn, T. (Hrsg.): Handbuchreihe Energie, Band 7: Gasturbinenkraftwerke, Kombikraftwerke, Heizkraftwerke und Industriekraftwerke, Technischer Verlag Resch / Verlag TÜV Rheinland
Course L0210: Gas and Steam Power Plants
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dr. Lars Wiese, Dr. Stylianos Rafailidis
Language DE
Cycle WiSe
Content

In the 1st part of the lecture a general introduction into fluid-flow machines and steam power plants is offered, including:

  • Energy balance of a fluid-flow machine
  • Theory of turbine and compressor stage
  • Equal and positive pressure blading
  • Flow losses
  • Characteristic numbers
  • Axial and radial design
  • Design features
  • Hydraulic fluid-flow machines
  • Pump and water turbine designs
  • Design examples of reciprocating engines and turbomachinery
  • Steam power plants
  • Gas turbine systems
  • Diesel engine systems
  • Waste heat utilisation

followed by the more specialised issues:

  • Electricity Demand and Forecasting
  • Thermodynamic fundamentals
  • Energy Conversion in Thermal Power Plants
  • Types of Power Plant
  • Layout of the power plant block
  • Individual elements of the power plant
  • Cooling systems
  • Flue gas cleaning
  • Operation characteristics of the power plant
  • Construction materials
  • Location of power plants

The environmental impact of acidification, fine particulate or CO2 emissions and the resulting climatic effects are a special focus of the lecture and the lecture hall exercise. The challenges in plant operation from interconnecting conventional power plants and renewable energy sources are discussed and the technical options for providing security of supply and network stability are presented, also under consideration of cost effectiveness. In this critical review, focus is especially placed on the compatibility of the different solutions with the environment and climate. With this, the awareness for the responsibility of an engineer's own actions are emphasized and the potential extent of the different solutions presented clearly.

Within the framework of the exercise the students learn the use of the specialised software suite EBSILON ProfessionalTM. With this tool small tasks are solved on the PC, to highlight aspects of the design and development of power plant cycles. The students present their results orally and can afterwards ask questions and get feedback. The course work has a positive effect on the students final grade.
Literature
  • Skripte
  • Kalide: Kraft- und Arbeitsmaschinen
  • Thomas, H.J.: Thermische Kraftanlagen. Springer-Verlag, 1985
  • Strauß, K.: Kraftwerkstechnik. Springer-Verlag, 2006
  • Kugeler und Phlippen: Energietechnik. Springer-Verlag, 1990
  • T. Bohn (Hrsg.): Handbuchreihe Energie, Band 7: Gasturbinenkraftwerke, Kombikraftwerke, Heizkraftwerke und Industriekraftwerke, Technischer Verlag Resch / Verlag TÜV Rheinland

Module M0662: Numerical Mathematics I
Courses
Title Typ Hrs/wk CP
Numerical Mathematics I (L0417) Lecture 2 3
Numerical Mathematics I (L0418) Recitation Section (small) 2 3
Module Responsible Prof. Sabine Le Borne
Admission Requirements None
Recommended Previous Knowledge
  • Mathematik I + II for Engineering Students (german or english) or Analysis & Linear Algebra I + II for Technomathematicians
  • basic MATLAB/Python knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to

  • name numerical methods for interpolation, integration, least squares problems, eigenvalue problems, nonlinear root finding problems and to explain their core ideas,
  • repeat convergence statements for the numerical methods,

  • explain aspects for the practical execution of numerical methods with respect to computational and storage complexitx.
Skills

Students are able to

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

Students are able to

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

Students are capable

  • to assess whether the supporting theoretical and practical excercises are better solved individually or in a team,
  • to assess their individual progess and, if necessary, to ask questions and seek help.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Computer Science: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Data Science: Compulsory
Bioprocess Engineering: Specialisation A - General Bioprocess Engineering: Elective Compulsory
Data Science: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Elective Compulsory
Engineering Science: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Mechanical Engineering: Specialisation Theoretical Mechanical Engineering: Compulsory
Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Mechanical Engineering: Specialisation Mechatronics: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course Core Studies: Elective Compulsory
Process Engineering: Specialisation Process Engineering: Elective Compulsory
Course L0417: Numerical Mathematics I
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sabine Le Borne
Language EN
Cycle WiSe
Content
  1. Finite precision arithmetic, error analysis, conditioning and stability
  2. Linear systems of equations: LU and Cholesky factorization, condition
  3. Interpolation: polynomial, spline and trigonometric interpolation
  4. Nonlinear equations: fixed point iteration, root finding algorithms, Newton's method
  5. Linear and nonlinear least squares problems: normal equations, Gram Schmidt and Householder orthogonalization, singular value decomposition, regularizatio, Gauss-Newton and Levenberg-Marquardt methods
  6. Eigenvalue problems: power iteration, inverse iteration, QR algorithm
  7. Numerical differentiation
  8. Numerical integration: Newton-Cotes rules, error estimates, Gauss quadrature, adaptive quadrature
Literature
  • Gander/Gander/Kwok: Scientific Computing: An introduction using Maple and MATLAB, Springer (2014)
  • Stoer/Bulirsch: Numerische Mathematik 1, Springer
  • Dahmen, Reusken: Numerik für Ingenieure und Naturwissenschaftler, Springer
Course L0418: Numerical Mathematics I
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sabine Le Borne, Dr. Jens-Peter Zemke
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Specialization Aircraft Systems Engineering

The specialization "Aircraft Systems" prepares students for a variety of careers in the aviation industry, and neighboring fields. Students will gain knowledge on how to deal with the methods of systems engineering, as well as the use of modern, computer-aided techniques for system design, analysis and evaluation. In addition, the necessary competencies of aeronautical engineering in aircraft systems, cabin systems, pneumatic conveying systems and aircraft design and flight physics and materials technology.

Module M0599: Digital Product Development and Lightweight Design
Courses
Title Typ Hrs/wk CP
CAE-Team Project (L0271) Project-/problem-based Learning 2 2
Digital Product Development (L0269) Lecture 2 2
Development of Lightweight Design Products (L0270) Lecture 2 2
Module Responsible Prof. Dieter Krause
Admission Requirements None
Recommended Previous Knowledge

Advanced Knowledge about engineering design:

Fundamentals of Mechanical Engineering Design

Mechanical Engineering: Design

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

After completing the module, students are capable of:

  • explaining the functional principle of 3D-CAD-Systems, PDM- and FEM-Systems
  • describing the interaction of the different CAE-Systems in the product development process
Skills


After completing the module, students are able to:


  • evaluate different CAD- and PDM-Systems with regards to the desired requirements such as classification schemes and product structuring
  • design an exemplary product using CAD-,PDM- and/or FEM-Systems with shared workload
Personal Competence
Social Competence

After completing the module, students are able to:

  • To develop a project plan and allocate work appropriate work packages  in the framework of group discussions
  • Present project results as a team for instance in a presentation
Autonomy

Students are capable of:

  • independently adapt to a CAE-Tool and complete a given practical task with it
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes 20 % Subject theoretical and practical work CAE-Teamprojekt inkl. Vortrag und Ausarbeitung
Examination Written exam
Examination duration and scale 90
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Compulsory
Engineering Science: Specialisation Mechanical Engineering: Elective Compulsory
General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering: Elective Compulsory
Mechanical Engineering: Specialisation Product Development and Production: Compulsory
Mechanical Engineering: Specialisation Aircraft Systems Engineering: Compulsory
Product Development, Materials and Production: Technical Complementary Course Core Studies: Elective Compulsory
Course L0271: CAE-Team Project
Typ Project-/problem-based Learning
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Dieter Krause
Language DE
Cycle SoSe
Content
  • Practical Introduction in the used software systems (Creo, Windchill, Hyperworks)
  • Team formation, allocation of tasks and generation of a project plan
  • Collective creation of one product out of CAD models supported by FEM calculations and PDM system
  • Manufacturing of selected parts using 3D printer
  • Presentation of results

Description

Part of the module is a project based team orientated practical course using the PBL method. In this course, students learn the handling of modern CAD, PDM and FEM systems (Creo, Windchill and Hyperworks). After a short introduction in the applied software systems, students work in teams on a task during the semester. The aim is the development of one product out of several CAD parts models using a PDM system including FEM calculations of selected parts and 3D printing of parts. The developed product must be presented in a joint presentation.
Literature
  • Ehrlenspiel, K.: Integrierte Produktentwicklung, München, Carl Hanser Verlag
  • Lee, K.: Principles of CAD / CAM / CAE Systems, Addison Wesles
  • Schichtel, M.: Produktdatenmodellierung in der Praxis, München, Carl Hanser Verlag
  • Anderl, R.: CAD Schnittstellen, München, Carl Hanser Verlag
  • Spur, G., Krause, F.: Das virtuelle Produkt, München, Carl Hanser Verlag
Course L0269: Digital Product Development
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Dieter Krause
Language DE
Cycle SoSe
Content
  • Introduction to Integrated Product Development
  • 3D CAD -Systems and CAD interfaces
  • Administration of part lists / PDM systems
  • PDM in different industries
  • Selection of CAD-/PDM Systems
  • Simulation
  • Construction methods
  • Design for X
Literature
  • Ehrlenspiel, K.: Integrierte Produktentwicklung, München, Carl Hanser Verlag
  • Lee, K.: Principles of CAD / CAM / CAE Systems, Addison Wesles
  • Schichtel, M.: Produktdatenmodellierung in der Praxis, München, Carl Hanser Verlag
  • Anderl, R.: CAD Schnittstellen, München, Carl Hanser Verlag
  • Spur, G., Krause, F.: Das virtuelle Produkt, München, Carl Hanser Verlag
Course L0270: Development of Lightweight Design Products
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Dieter Krause, Prof. Benedikt Kriegesmann
Language DE
Cycle SoSe
Content
  • Lightweight design materials
  • Product development process for lightweight structures
  • Dimensioning of lightweight structures
Literature
  • Schürmann, H., „Konstruieren mit Faser-Kunststoff-Verbunden“, Springer, Berlin, 2005.
  • Klein, B., „Leichtbau-Konstruktion", Vieweg & Sohn, Braunschweig, 1989.
  • Krause, D., „Leichtbau”,  In: Handbuch Konstruktion, Hrsg.: Rieg, F., Steinhilper, R., München, Carl Hanser Verlag, 2012.
  • Schulte, K., Fiedler, B., „Structure and Properties of Composite Materials”, Hamburg, TUHH - TuTech Innovation GmbH, 2005.
  • Wiedemann, J., „Leichtbau Band 1: Elemente“, Springer, Berlin, Heidelberg, 1986.

Module M0767: Aeronautical Systems
Courses
Title Typ Hrs/wk CP
Fundamentals of Aircraft Systems (L0741) Lecture 2 2
Fundamentals of Aircraft Systems (L0742) Recitation Section (small) 1 1
Air Transportation Systems (L0591) Lecture 2 2
Air Transportation Systems (L0816) Recitation Section (large) 1 1
Module Responsible Prof. Frank Thielecke
Admission Requirements None
Recommended Previous Knowledge Basics of mathematics, mechanics and thermodynamics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge Students get a basic understanding of the structure and design of an aircraft, as well as an overview of the systems inside an aircraft. In addition, a basic knowledge of the relationchips, the key parameters, roles and ways of working in different subsystems in the air transport is acquired.
Skills Due to the learned cross-system thinking students can gain a deeper understanding of different system concepts and their technical system implementation. In addition, they can apply the learned methods for the design and assessment of subsystems of the air transportation system in the context of the overall system.
Personal Competence
Social Competence Students are made aware of interdisciplinary communication in groups.
Autonomy Students are able to independently analyze different system concepts and their technical implementation as well as to think system oriented.
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 150 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Compulsory
Data Science: Specialisation II. Application: Elective Compulsory
Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory
Mechanical Engineering: Specialisation Aircraft Systems Engineering: Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation II. Traffic Planning and Systems: Elective Compulsory
Course L0741: Fundamentals of Aircraft Systems
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Frank Thielecke
Language DE
Cycle SoSe
Content
  • Development of aircrafts, fundamentals of flight physics, propulsion systems, analysis of ranges and loads, aircraft-structures and materials
  • Hydraulic and electrical power systems, landing gear systems, flight-control and high-lift systems, air conditioning systems
Literature
  • Shevell, R. S.: Fundamentals of Flight
  • TÜV Rheinland: Luftfahrtzeugtechnik in Theorie und Praxis
  • Wild: Transport Category Aircraft Systems
Course L0742: Fundamentals of Aircraft Systems
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Frank Thielecke
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L0591: Air Transportation Systems
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Volker Gollnick
Language DE
Cycle SoSe
Content
  1. Air transport as part of the global transportation system
  2. Legal basis of air transportation
  3. Safety and security aspects
  4. Aircraft basics
  5. The role of the aircraft amnufacturer
  6. The role of the aircraft operator
  7. Airport operation
  8. The principles of air traffic management
  9. Environmental aspects of air transportation
Literature
  1. V. Gollnick, D. Schmitt: "Air Transport System", Springer-Verlag, ISBN 978-3-7091-1879-5
  2. H. Mensen: "Handbuch der Luftfahrt", Springer-Verlag, 2003
  3. J.P. Clark: “Buying the Big Jets”, ISBN 9781317170341 , Taylor & Francis, 2017
  4. Mike Hirst: The Air Transport System, AIAA, 2008
  5. D.P. Raymer: "Aircraft Design - A Conceptual Approach", AIAA Education Series, 2006, ISBN 1-56347-281-3
  6. N. Ashford: "Airport Operations", McGraw-Hill, 1997, ISBN 0-07-003077-4
  7. P. Maurer: "Luftverkehrsmanagement", Oldenbourg-Verlag, ISBN 3-486-27422-8
  8. H. Mensen: "Moderne Flugsicherung", Springer-Verlag, 2004, ISBN 3-540-20581-0
Course L0816: Air Transportation Systems
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Volker Gollnick
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M2027: Modeling, Simulation and Optimization (EN)
Courses
Title Typ Hrs/wk CP
Modeling, Simulation and Optimization (EN) (L2446) Integrated Lecture 4 6
Module Responsible Prof. Benedikt Kriegesmann
Admission Requirements None
Recommended Previous Knowledge

Sound knowledge of engineering mathematics, engineering mechanics and fluid mechanics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

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

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

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

The students are able to develop solution strategies for complex problems self-consistent and critically analyse results.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Elective Compulsory
Engineering Science: Specialisation Advanced Materials: Compulsory
Engineering Science: Specialisation Biomedical Engineering: Compulsory
Engineering Science: Specialisation Mechanical Engineering and Management: Compulsory
Engineering Science: Specialisation Mechatronics: Elective Compulsory
Engineering Science: Specialisation Mechanical Engineering: Compulsory
Mechanical Engineering: Specialisation Theoretical Mechanical Engineering: Compulsory
Mechanical Engineering: Specialisation Mechatronics: Elective Compulsory
Mechanical Engineering: Specialisation Aircraft Systems Engineering: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L2446: Modeling, Simulation and Optimization (EN)
Typ Integrated Lecture
Hrs/wk 4
CP 6
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Lecturer Prof. Benedikt Kriegesmann, Prof. Alexander Düster, Prof. Robert Seifried, Prof. Thomas Rung
Language EN
Cycle SoSe
Content
  • Partial Differential Equations in technical problems
  • Overview of modelling approaches
  • Finite Approximation Methods - Finite Differences / Elements / Volumes
  • Introduction to the Discrete Element Method
  • Numerical methods for time dependent problems
  • Gradient-based optimization
Literature

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

Specialization Materials in Engineering Sciences

In the specialization "materials in engineering", students work mainly with construction materials, modeling materials and nanotechnology and hybrid materials.

Module M1901: Materials Science Laboratory
Courses
Title Typ Hrs/wk CP
Companion Lecture for Materials Science Laboratory (L1088) Lecture 2 2
Material Science Laboratory (L1235) Practical Course 4 4
Module Responsible Prof. Franziska Lissel
Admission Requirements None
Recommended Previous Knowledge none
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

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

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

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

Students are capable of solving problems in the context of materials sciences  using provided literature. They are able to fill gaps in as well as extent their knowledge using the literature and other sources provided by the supervisor.

Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Subject theoretical and practical work
Examination duration and scale Reports on each one of the experiments and online learning modules with integrated checking
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
Engineering Science: Specialisation Advanced Materials: Compulsory
Engineering Science: Specialisation Mechanical Engineering: Elective Compulsory
Engineering Science: Specialisation Mechanical Engineering and Management: Elective Compulsory
Mechanical Engineering: Specialisation Product Development and Production: Compulsory
Mechanical Engineering: Specialisation Materials in Engineering Sciences: Compulsory
Product Development, Materials and Production: Technical Complementary Course Core Studies: Elective Compulsory
Course L1088: Companion Lecture for Materials Science Laboratory
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Franziska Lissel
Language DE/EN
Cycle WiSe
Content

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

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

2) John R. Taylor, Fehleranalyse: eine Einführung in die Untersuchung von Unsicherheiten in physikalischen Messungen, 1. Aufl., VCH Verlag, 1988  https://katalog.tub.tuhh.de/Record/027422038     // An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements, 2d Edition, University Science Books, 1997 https://katalog.tub.tuhh.de/Record/024511676
Course L1235: Material Science Laboratory
Typ Practical Course
Hrs/wk 4
CP 4
Workload in Hours Independent Study Time 64, Study Time in Lecture 56
Lecturer Prof. Kaline Pagnan Furlan, Prof. Bodo Fiedler, Prof. Franziska Lissel, Prof. Gerold Schneider, Prof. Jörg Weißmüller
Language DE/EN
Cycle WiSe
Content

5 laboratory experiments:

- Metals: Tensile test

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

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

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

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

1) Vorlesungsunterlagen Grundlagen der Werkstoffwissenschaft I & II

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

Module M1005: Enhanced Fundamentals of Materials Science
Courses
Title Typ Hrs/wk CP
Advanced Ceramics and Polymers (EN) (L2983) Lecture 2 2
Advanced Ceramics and Polymers (EN) (L2984) Recitation Section (large) 1 1
Materials for Energy Storage and Conversion (DE) (L1086) Lecture 2 3
Module Responsible Prof. Gerold Schneider
Admission Requirements None
Recommended Previous Knowledge

Module "Fundamentals of Materials Science"

Module "Materials Science Laboratory"


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

The students are able to give an enhanced overview over the following topics
in metals, polymers and ceramics: Atomic bonds, crystal and amorphous structures, defects , electrical and mass transport, microstructure and phase diagrams. They are capable to explain the corresponding technical terms.
Skills

The students are able to apply the appropriate physical and chemical methods for  the above mentioned subjects.
Personal Competence
Social Competence
Autonomy

The students are capable to understand independently the structure and propeties of ceramics, metals and polymers. They should be able to critally evaluate the profoundness of their knowledge.
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 180 min
Assignment for the Following Curricula Mechanical Engineering: Specialisation Materials in Engineering Sciences: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L2983: Advanced Ceramics and Polymers (EN)
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Kaline Pagnan Furlan, Prof. Robert Meißner
Language EN
Cycle SoSe
Content

After the lecture you should be able to (lecture objectives):

  • Identify the main characteristics of polymeric and ceramic materials
  • Understand how to process polymers and ceramics and their applications
  • Evaluate and select polymers and ceramics according to a prospected application, linking the expected properties and design to an appropriate manufacturing method
  • Understand about fiber-reinforced composites fabrication, processing, and properties

Polymeric materials

  1. Polymers in engineering
    A brief history of plastics; Why plastics?; Plastics industry; Lightweight construction using plastics. 

  2. Structure of the macromolecule 
    Constitution; chain configuration; chain conformation; potentials; bonds.

  3. Synthesis, rheology
    Polymerization; polyaddition; polycondensation; molecular weight and distribution; crosslinking; application temperatures and processing; test methods DSC /DMTA.

  4. Plastics processing
    Relationships of viscosity and processing of plastics; The main manufacturing technologies and processing parameters: Extrusion, injection molding, calendering, blown films, blow molding, stretch blow molding; Which products can be manufactured with which manufacturing method.

  5. Composite materials 
    Short fiber reinforced and injection molding; fiber types and strength; elastic properties of FRP and anisotropy.

  6. Mechanical properties 
    Understand the material behavior of polymers under mechanical load; know that plastics have a strongly time-dependent deformation behavior and know the reasons; measurement methods to determine the load behavior (tensile test, creep or relaxation test).

  7. Plastics and the environment
    Understand the advantages and disadvantages of polymers in terms of environmental aspects; know that plastics can be recycled in different ways; know innovative approaches to improve the life cycle assessment.

Ceramic materials

  1. Ceramics in engineering
    Brief history of ceramic materials; why are ceramic materials used?; relevance of ceramic materials in engineering; overview of common applications.

  2. Ceramic shaping methods 
    Slip casting, tape casting, dip coating, filter pressing, extrusion, injection molding, die and isostatic pressing, robocasting (3D printing).

  3. Sintering
    Driving force and mechanism of sintering; effect of curved surfaces and diffusion paths; solid state sintering, liquid phase sintering and reaction bonding sintering; sintering stages.

  4. Colloidal science
    Stability of particles within a solvent; DLVO theory; zeta potential; iso-eletric point; multi-material mixes.

  5. Effect of processing on properties
    Understand how the different properties of ceramics are affected by the processing parameters during common processing steps.

  6. Ceramic-matrix composites
    Advantages of ceramic composites; influence of a second phase during sintering; continuous and discontinuous matrix; influence of second phase shape on the mechanical properties; fiber-matrix interfaces.

  7. Functional properties of ceramics and their applications
    Structural applications; high-temperature applications; electrical applications; filters and membranes; fuel cells; catalysis; magnetic ceramics; sensors.
Literature

Polymeric  materials

  1. Polymeric Materials: Structure, Properties, Applications; G. W. Ehrenstein, Hanser Verlag, ISBN 978-3-446-21461-3 , https://katalog.tub.tuhh.de/Record/319998959 
  2. Polymer Rheology: Fundamentals and Applications; T. A. Osswald and N. Rudolph, Hanser Verlag, ISBN 978-1-56990-517-3 , https://katalog.tub.tuhh.de/Record/793882745
  3. Rheology of filled polymer systems, A. V. Shenoy, Springer Dodrecht, ISBN 978-0-412-83100-3 , https://katalog.tub.tuhh.de/Record/244182205
  4. Rheology of Polymeric Systems: Principles and Applications; P. J. Carreau, D. C.R. De Kee and R. P. Chhabra, Hanser Verlag, ISBN 978-1-56990-722-1 , https://doi.org/10.1016/C2018-0-01790-9
  5. Polymer Testing; W. Grellmann and S. Seidler; Hanser Verlag, ISBN 978-1-56990-549-4 , https://katalog.tub.tuhh.de/Record/527841358

Ceramic materials

  1. D.W. Richerson, Modern ceramic engineering : properties, processing, and use in design, Dekker New York, 1992 https://katalog.tub.tuhh.de/Record/02717039X or https://katalog.tub.tuhh.de/Record/486225119
  2. A.R. Boccaccini and N.P.Bansal, Ceramics and composites processing methods, John Wiley & Sons 2012 https://katalog.tub.tuhh.de/Record/1679605283 (Chapters 1, 4, 8 and 13)
  3. R. Riedel and I. Chen, Ceramics Science and Technology, Wiley-VCH, 2011 https://doi.org/10.1002/9783527631957  (Chapters 6, 12 and 16)
  4. R. Riedel and I. Chen, Ceramics Science and Technology - Volume 4: Applications, Wiley-VCH, 2013 https://doi.org/10.1002/9783527631971


Course L2984: Advanced Ceramics and Polymers (EN)
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Kaline Pagnan Furlan, Prof. Robert Meißner
Language EN
Cycle SoSe
Content
Literature
Course L1086: Materials for Energy Storage and Conversion (DE)
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Jörg Weißmüller
Language DE/EN
Cycle SoSe
Content

Advanced understanding of metals:  
•    Physical materials properties
     o    Materials behaviour - elastic, thermal, electrical
     o    Superelasticity and shape memory effect
     o    Fundamentals of electrical conductivity in metals and semiconductors
     o    Superconductivity
•    Chemical (or "dry") corrosion
     o    Driving forces and mechanisms
     o    Passivation
     o    Growth laws
•    Introduction to electrochemistry
     o    Electrolytes
     o    Ions
     o    Solvatation
     o    Dissolution and deposition of metals
     o    Galvanic cells and cell voltage
     o    Galvanic series
     o    Nernst equation
     o    Polarizable electrodes
     o    Electrochemical double layer
     o    Capacitive and pseudocapacitive processes
     o    Capacitive currents and Faraday currents
•    Electrochemical (or "wet") corrosion and corrosion protection
     o    Basic observations
     o    Galvanic corrosion
     o    Protection against galvanic corrosion
     o    Stainless steel
     o    sacrificial anodes
     o    Passivation and Pourbaix diagrams
     o    Corrosion through gas reduction
     o    Crevice corrosion
     o    Stress corrosion cracking
     o    Alloy corrosion and nanoporous metals
•    Electrochemical energy storage
     o    How a battery works
     o    Lead accumulators
     o    Alkaline batteries
     o    Nickel-metal hydride accumulators
     o    Flux batteries
     o    Lithium-ion accumulators
     o    Electrolytic and super capacitors
     o    Fuel cells
•    Materials for hydrogen storage
     o    Storage strategies
     o    Requirements for storage materials
     o    State of the art
•    Magnetism and magnetic materials
     o    Phenomenology: magnetic field and magnetization
     o    Para-, ferro-, antiferromagnets; Curie transition
     o    Magnetism at the atomic scale; exchange coupling
     o    Magnetization isotherms, domains
     o    Measurement methods
     o    Magnetocrystalline anisotropy and domain walls
     o    Hard magnetic materials and their applications
     o    Soft magnetic materials and their applications
Literature

- Vorlesungsskript

- W.D. Callister, „Materialwissenschaften und Werkstofftechnik “, Wiley-VCH 2012

- Carl H. Hamann, Wolf Vielstich, "Elektrochemie", Wiley-VCH; 4. Auflage 2005

- Kurzweil, Dietlmeier, "Elektrochemische Speicher" Springer Vieweg (2015) 
(eBook: https://link.springer.com/book/10.1007/978-3-658-10900-4  )

- B. D. Cullity, C.D. Graham, "Introduction to magnetic materials", John Wiley & Sons, 2011

- D. Jiles, "Introduction to magnetism and magnetic materials", CRC press, 2015

Module M1910: Materials Engineering: Materials Selection, Processing and Modelling
Courses
Title Typ Hrs/wk CP
Materials and Process Modeling (L2862) Lecture 3 3
Materials Selection and Processing (L2861) Lecture 3 3
Module Responsible Prof. Norbert Huber
Admission Requirements None
Recommended Previous Knowledge Fundamentals of mathematics (differential equations, integration), materials science (classes of materials, structure, properties, tensile test) and engineering mechanics (stress, strain, elasticity, deformation).
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

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

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

Students are able to

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

Students are able to

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

Students are able to,

  • assess their own strengths and weaknesses
  • concretely assess their respective learning status and define further work steps on this basis
  • abstract given tasks and then apply them to new problems by transferring the taught material.
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 20 % Excercises Wir stellen Übungsaufgaben (ÜA), die während des Semesters erbracht und in den wöchentlichen Übungen vorgestellt werden. Diese können im Umfang von bis zu 20% bei der Prüfung berücksichtigt werden.
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
Engineering Science: Specialisation Mechanical Engineering: Elective Compulsory
Engineering Science: Specialisation Advanced Materials: Compulsory
Engineering Science: Specialisation Mechanical Engineering and Management: Elective Compulsory
Mechanical Engineering: Specialisation Materials in Engineering Sciences: Compulsory
Course L2862: Materials and Process Modeling
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Norbert Huber
Language EN
Cycle SoSe
Content
  1. Relevance of plasticity in materials processing and operation
  2. Fundamentals of plasticity in metals and alloys
  3. Modellierung von Materialverhalten
  4. Plasticity in cyclic loading
  5. Rate dependency, recristallization
  6. Rolling, forming, and solid state joining processes
  7. Residual stress design
Literature
  • Hull and Bacon: Introduction to Dislocations (1984)
  • G. Gottstein: Physik. Grundlagen der Materialk. (2001)
  • P. Haupt: Cont. Mechanics and Theory of Materials (2002)
  • N. Huber: Vorlesungsskript „Grundlagen der mechanischen Eigenschaften von Werkstoffen“, TUHH
Course L2861: Materials Selection and Processing
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Kaline Pagnan Furlan
Language EN
Cycle SoSe
Content
  1. Introduction
  2. Overview of fabrication processes
  3. Shape considerations: macrostructural aspects
  4. Material properties: microstructural aspects
  5. Materials engineering: microstructure, shape and processing relation
  6. Materials engineering: function and costs relation
Literature
  1. K.P. Furlan, Lecture slides “Materials Selection and Processing (lv2861)”, StudIP E-learning system, TUHH
  2. W.D. Callister, Materials science and engineering: an introduction, 5th edition, Wiley (2000)  https://katalog.tub.tuhh.de/Record/270018409 or https://katalog.tub.tuhh.de/Record/1696922097 (online link at ‘Exemplare’)
  3. M.F.Ashby, Materials selection in mechanical design, 3rd edition, Butterworth-Heinemann (2005) https://katalog.tub.tuhh.de/Record/39697838X



Specialization Mechatronics

In the specialization "Mechatronics" students learn to combine the mechanical engineering content with the knowledge and skills of electrical engineering, to study in mechatronics, those sub-disciplines and related disciplines problems that arise.

Module M0662: Numerical Mathematics I
Courses
Title Typ Hrs/wk CP
Numerical Mathematics I (L0417) Lecture 2 3
Numerical Mathematics I (L0418) Recitation Section (small) 2 3
Module Responsible Prof. Sabine Le Borne
Admission Requirements None
Recommended Previous Knowledge
  • Mathematik I + II for Engineering Students (german or english) or Analysis & Linear Algebra I + II for Technomathematicians
  • basic MATLAB/Python knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to

  • name numerical methods for interpolation, integration, least squares problems, eigenvalue problems, nonlinear root finding problems and to explain their core ideas,
  • repeat convergence statements for the numerical methods,

  • explain aspects for the practical execution of numerical methods with respect to computational and storage complexitx.
Skills

Students are able to

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

Students are able to

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

Students are capable

  • to assess whether the supporting theoretical and practical excercises are better solved individually or in a team,
  • to assess their individual progess and, if necessary, to ask questions and seek help.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Computer Science: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Data Science: Compulsory
Bioprocess Engineering: Specialisation A - General Bioprocess Engineering: Elective Compulsory
Data Science: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Elective Compulsory
Engineering Science: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Mechanical Engineering: Specialisation Theoretical Mechanical Engineering: Compulsory
Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Mechanical Engineering: Specialisation Mechatronics: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course Core Studies: Elective Compulsory
Process Engineering: Specialisation Process Engineering: Elective Compulsory
Course L0417: Numerical Mathematics I
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sabine Le Borne
Language EN
Cycle WiSe
Content
  1. Finite precision arithmetic, error analysis, conditioning and stability
  2. Linear systems of equations: LU and Cholesky factorization, condition
  3. Interpolation: polynomial, spline and trigonometric interpolation
  4. Nonlinear equations: fixed point iteration, root finding algorithms, Newton's method
  5. Linear and nonlinear least squares problems: normal equations, Gram Schmidt and Householder orthogonalization, singular value decomposition, regularizatio, Gauss-Newton and Levenberg-Marquardt methods
  6. Eigenvalue problems: power iteration, inverse iteration, QR algorithm
  7. Numerical differentiation
  8. Numerical integration: Newton-Cotes rules, error estimates, Gauss quadrature, adaptive quadrature
Literature
  • Gander/Gander/Kwok: Scientific Computing: An introduction using Maple and MATLAB, Springer (2014)
  • Stoer/Bulirsch: Numerische Mathematik 1, Springer
  • Dahmen, Reusken: Numerik für Ingenieure und Naturwissenschaftler, Springer
Course L0418: Numerical Mathematics I
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sabine Le Borne, Dr. Jens-Peter Zemke
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module 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: 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: 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

Module M2027: Modeling, Simulation and Optimization (EN)
Courses
Title Typ Hrs/wk CP
Modeling, Simulation and Optimization (EN) (L2446) Integrated Lecture 4 6
Module Responsible Prof. Benedikt Kriegesmann
Admission Requirements None
Recommended Previous Knowledge

Sound knowledge of engineering mathematics, engineering mechanics and fluid mechanics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

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

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

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

The students are able to develop solution strategies for complex problems self-consistent and critically analyse results.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Elective Compulsory
Engineering Science: Specialisation Advanced Materials: Compulsory
Engineering Science: Specialisation Biomedical Engineering: Compulsory
Engineering Science: Specialisation Mechanical Engineering and Management: Compulsory
Engineering Science: Specialisation Mechatronics: Elective Compulsory
Engineering Science: Specialisation Mechanical Engineering: Compulsory
Mechanical Engineering: Specialisation Theoretical Mechanical Engineering: Compulsory
Mechanical Engineering: Specialisation Mechatronics: Elective Compulsory
Mechanical Engineering: Specialisation Aircraft Systems Engineering: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L2446: Modeling, Simulation and Optimization (EN)
Typ Integrated Lecture
Hrs/wk 4
CP 6
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Lecturer Prof. Benedikt Kriegesmann, Prof. Alexander Düster, Prof. Robert Seifried, Prof. Thomas Rung
Language EN
Cycle SoSe
Content
  • Partial Differential Equations in technical problems
  • Overview of modelling approaches
  • Finite Approximation Methods - Finite Differences / Elements / Volumes
  • Introduction to the Discrete Element Method
  • Numerical methods for time dependent problems
  • Gradient-based optimization
Literature

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

Module 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
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
Civil Engineering: Specialisation Computational 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 Theoretical Mechanical Engineering: Elective Compulsory
Mechanical Engineering: Specialisation Mechatronics: 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 Dr. Hanna Peywand Kiani
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L1042: Complex Functions
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Specialization Product Development and Production

The specialization "Product Development and Production" maps the product creation process from strategic product planning, through the systematic and methodical development of products, including concept development, design, material selection, simulation and test to production, the planning and control and the use of modern manufacturing processes, to high-performance materials.

Module M1901: Materials Science Laboratory
Courses
Title Typ Hrs/wk CP
Companion Lecture for Materials Science Laboratory (L1088) Lecture 2 2
Material Science Laboratory (L1235) Practical Course 4 4
Module Responsible Prof. Franziska Lissel
Admission Requirements None
Recommended Previous Knowledge none
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

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

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

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

Students are capable of solving problems in the context of materials sciences  using provided literature. They are able to fill gaps in as well as extent their knowledge using the literature and other sources provided by the supervisor.

Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Subject theoretical and practical work
Examination duration and scale Reports on each one of the experiments and online learning modules with integrated checking
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
Engineering Science: Specialisation Advanced Materials: Compulsory
Engineering Science: Specialisation Mechanical Engineering: Elective Compulsory
Engineering Science: Specialisation Mechanical Engineering and Management: Elective Compulsory
Mechanical Engineering: Specialisation Product Development and Production: Compulsory
Mechanical Engineering: Specialisation Materials in Engineering Sciences: Compulsory
Product Development, Materials and Production: Technical Complementary Course Core Studies: Elective Compulsory
Course L1088: Companion Lecture for Materials Science Laboratory
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Franziska Lissel
Language DE/EN
Cycle WiSe
Content

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

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

2) John R. Taylor, Fehleranalyse: eine Einführung in die Untersuchung von Unsicherheiten in physikalischen Messungen, 1. Aufl., VCH Verlag, 1988  https://katalog.tub.tuhh.de/Record/027422038     // An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements, 2d Edition, University Science Books, 1997 https://katalog.tub.tuhh.de/Record/024511676
Course L1235: Material Science Laboratory
Typ Practical Course
Hrs/wk 4
CP 4
Workload in Hours Independent Study Time 64, Study Time in Lecture 56
Lecturer Prof. Kaline Pagnan Furlan, Prof. Bodo Fiedler, Prof. Franziska Lissel, Prof. Gerold Schneider, Prof. Jörg Weißmüller
Language DE/EN
Cycle WiSe
Content

5 laboratory experiments:

- Metals: Tensile test

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

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

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

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

1) Vorlesungsunterlagen Grundlagen der Werkstoffwissenschaft I & II

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

Module M0726: Production Technology
Courses
Title Typ Hrs/wk CP
Fundamentals of Machine Tools (L0689) Lecture 2 2
Fundamentals of Machine Tools (L1992) Recitation Section (large) 1 1
Forming and Cutting Technology (L0613) Lecture 2 2
Forming and Cutting Technology (L0614) Recitation Section (large) 1 1
Module Responsible Prof. Jan Hendrik Dege
Admission Requirements None
Recommended Previous Knowledge

without major course assessment

internship recommended

Previous knowledge in mathematics, mechanics and electrical engineering
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to ...

  • explain the basics of chip formation and mechanisms and models of machining.
  • explain methods and parameters for design and analysis of metal forming, machining processes and tools.
  • explain technical concepts of machine tool building and give an overview on trends in the machine tool industry.
  • explain types, constructions and functions of CNC-machines and give an overview on multi-machine systems.
  • explain equipment components.
Skills

Students are able to...

  • select tool geometry, cutting materials, process parameters and appropriate measuring technique in accordance with the requirements.
  • estimate occurring forces and temperatures during chip formation.
  • select appropriate machine tools for machining and create NC programs for turning and milling.
  • assess the quality of a machine tools and to detect weak points.
Personal Competence
Social Competence

Students are able to ...

  • develop solutions in a production environment with qualified personnel at technical level and represent decisions.
Autonomy Students are able to ...
  • interpret independently cutting processes.
  • create independently NC programs.
  • select independently machine tools by reference to appropriate requirements.
  • assess own strengths and weaknesses in general.
  • assess their learning progress and define gaps to be improved.
  • assess possible consequences of their actions.
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 180 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Compulsory
Engineering Science: Specialisation Mechanical Engineering and Management: Elective Compulsory
Mechanical Engineering: Specialisation Product Development and Production: Compulsory
Mechatronics: Specialisation Robot- and Machine-Systems: Elective Compulsory
Product Development, Materials and Production: Technical Complementary Course Core Studies: Elective Compulsory
Course L0689: Fundamentals of Machine Tools
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Thorsten Schüppstuhl
Language DE
Cycle WiSe
Content

Terminology and trends in machine tool building

CNC controls

NC programming and NC programming systems

Types, construction and function of CNC machines

Multi-machinesystems

Equipmentcomponents for machine tools

Assessment of machine tools
Literature

Conrad, K.J

Taschenbuch der Werkzeugmaschinen

9783446406414

Fachbuchverlag 2006

 

Perović, Božina

Spanende Werkzeugmaschinen - Ausführungsformen und Vergleichstabellen

ISBN: 3540899529

Berlin [u.a.]: Springer, 2009

 

Weck, Manfred

Werkzeugmaschinen 1 - Maschinenarten und Anwendungsbereiche

ISBN: 9783540225041

Berlin [u.a.]: Springer, 2005

 

Weck, Manfred; Brecher, Christian

Werkzeugmaschinen 4 - Automatisierung von Maschinen und Anlagen

ISBN: 3540225072

Berlin [u.a.]: Springer, 2006

 

Weck, Manfred; Brecher, Christian

Werkzeugmaschinen 5 - Messtechnische Untersuchung und Beurteilung, dynamische Stabilität

ISBN: 3540225056

Berlin [u.a.]: Springer, 2006
Course L1992: Fundamentals of Machine Tools
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Thorsten Schüppstuhl
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L0613: Forming and Cutting Technology
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Jan Hendrik Dege
Language DE
Cycle WiSe
Content
  • Thermomechanical Principles and Models of Machining
  • Chip Formation, Forces, Temperature and Tribology process
  • Wear mechanisms and wear patterns
  • Machinability by Cutting and Forming, Specific Problems of Light Weight Structures
  • Cutting Material and Coatings
  • Methods and Parameters for Analysis and Configuration of Forming and Cutting Processes and Tools
Literature

Lange, K.; Umformtechnik Grundlagen, 2. Auflage, Springer (2002)

Tönshoff, H.; Spanen Grundlagen, 2. Auflage, Springer Verlag (2004)

König, W., Klocke, F.; Fertigungsverfahren Bd. 4 Massivumformung, 4. Auflage, VDI-Verlag (1996)

König, W., Klocke, F.; Fertigungsverfahren Bd. 5 Blechbearbeitung, 3. Auflage, VDI-Verlag (1995)

Klocke, F., König, W.; Fertigungsverfahren Schleifen, Honen, Läppen, 4. Auflage, Springer Verlag (2005)

König, W., Klocke, F.: Fertigungsverfahren Drehen, Fräsen, Bohren, 7. Auflage, Springer Verlag (2002)
Course L0614: Forming and Cutting Technology
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Jan Hendrik Dege
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0599: Digital Product Development and Lightweight Design
Courses
Title Typ Hrs/wk CP
CAE-Team Project (L0271) Project-/problem-based Learning 2 2
Digital Product Development (L0269) Lecture 2 2
Development of Lightweight Design Products (L0270) Lecture 2 2
Module Responsible Prof. Dieter Krause
Admission Requirements None
Recommended Previous Knowledge

Advanced Knowledge about engineering design:

Fundamentals of Mechanical Engineering Design

Mechanical Engineering: Design

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

After completing the module, students are capable of:

  • explaining the functional principle of 3D-CAD-Systems, PDM- and FEM-Systems
  • describing the interaction of the different CAE-Systems in the product development process
Skills


After completing the module, students are able to:


  • evaluate different CAD- and PDM-Systems with regards to the desired requirements such as classification schemes and product structuring
  • design an exemplary product using CAD-,PDM- and/or FEM-Systems with shared workload
Personal Competence
Social Competence

After completing the module, students are able to:

  • To develop a project plan and allocate work appropriate work packages  in the framework of group discussions
  • Present project results as a team for instance in a presentation
Autonomy

Students are capable of:

  • independently adapt to a CAE-Tool and complete a given practical task with it
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes 20 % Subject theoretical and practical work CAE-Teamprojekt inkl. Vortrag und Ausarbeitung
Examination Written exam
Examination duration and scale 90
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Compulsory
Engineering Science: Specialisation Mechanical Engineering: Elective Compulsory
General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering: Elective Compulsory
Mechanical Engineering: Specialisation Product Development and Production: Compulsory
Mechanical Engineering: Specialisation Aircraft Systems Engineering: Compulsory
Product Development, Materials and Production: Technical Complementary Course Core Studies: Elective Compulsory
Course L0271: CAE-Team Project
Typ Project-/problem-based Learning
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Dieter Krause
Language DE
Cycle SoSe
Content
  • Practical Introduction in the used software systems (Creo, Windchill, Hyperworks)
  • Team formation, allocation of tasks and generation of a project plan
  • Collective creation of one product out of CAD models supported by FEM calculations and PDM system
  • Manufacturing of selected parts using 3D printer
  • Presentation of results

Description

Part of the module is a project based team orientated practical course using the PBL method. In this course, students learn the handling of modern CAD, PDM and FEM systems (Creo, Windchill and Hyperworks). After a short introduction in the applied software systems, students work in teams on a task during the semester. The aim is the development of one product out of several CAD parts models using a PDM system including FEM calculations of selected parts and 3D printing of parts. The developed product must be presented in a joint presentation.
Literature
  • Ehrlenspiel, K.: Integrierte Produktentwicklung, München, Carl Hanser Verlag
  • Lee, K.: Principles of CAD / CAM / CAE Systems, Addison Wesles
  • Schichtel, M.: Produktdatenmodellierung in der Praxis, München, Carl Hanser Verlag
  • Anderl, R.: CAD Schnittstellen, München, Carl Hanser Verlag
  • Spur, G., Krause, F.: Das virtuelle Produkt, München, Carl Hanser Verlag
Course L0269: Digital Product Development
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Dieter Krause
Language DE
Cycle SoSe
Content
  • Introduction to Integrated Product Development
  • 3D CAD -Systems and CAD interfaces
  • Administration of part lists / PDM systems
  • PDM in different industries
  • Selection of CAD-/PDM Systems
  • Simulation
  • Construction methods
  • Design for X
Literature
  • Ehrlenspiel, K.: Integrierte Produktentwicklung, München, Carl Hanser Verlag
  • Lee, K.: Principles of CAD / CAM / CAE Systems, Addison Wesles
  • Schichtel, M.: Produktdatenmodellierung in der Praxis, München, Carl Hanser Verlag
  • Anderl, R.: CAD Schnittstellen, München, Carl Hanser Verlag
  • Spur, G., Krause, F.: Das virtuelle Produkt, München, Carl Hanser Verlag
Course L0270: Development of Lightweight Design Products
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Dieter Krause, Prof. Benedikt Kriegesmann
Language DE
Cycle SoSe
Content
  • Lightweight design materials
  • Product development process for lightweight structures
  • Dimensioning of lightweight structures
Literature
  • Schürmann, H., „Konstruieren mit Faser-Kunststoff-Verbunden“, Springer, Berlin, 2005.
  • Klein, B., „Leichtbau-Konstruktion", Vieweg & Sohn, Braunschweig, 1989.
  • Krause, D., „Leichtbau”,  In: Handbuch Konstruktion, Hrsg.: Rieg, F., Steinhilper, R., München, Carl Hanser Verlag, 2012.
  • Schulte, K., Fiedler, B., „Structure and Properties of Composite Materials”, Hamburg, TUHH - TuTech Innovation GmbH, 2005.
  • Wiedemann, J., „Leichtbau Band 1: Elemente“, Springer, Berlin, Heidelberg, 1986.

Specialization Theoretical Mechanical Engineering

The focus of the specialization "Theoretical Mechanical Engineering" lies on theory-method-oriented content and principles as well as intensive scientific thinking training. The students enter a wide-open field of work, especially in the area of mechanical and automotive engineering, biotechnology and medical technology, power engineering, aerospace engineering, shipbuilding, automation technology, materials science and related fields.

Module M0662: Numerical Mathematics I
Courses
Title Typ Hrs/wk CP
Numerical Mathematics I (L0417) Lecture 2 3
Numerical Mathematics I (L0418) Recitation Section (small) 2 3
Module Responsible Prof. Sabine Le Borne
Admission Requirements None
Recommended Previous Knowledge
  • Mathematik I + II for Engineering Students (german or english) or Analysis & Linear Algebra I + II for Technomathematicians
  • basic MATLAB/Python knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to

  • name numerical methods for interpolation, integration, least squares problems, eigenvalue problems, nonlinear root finding problems and to explain their core ideas,
  • repeat convergence statements for the numerical methods,

  • explain aspects for the practical execution of numerical methods with respect to computational and storage complexitx.
Skills

Students are able to

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

Students are able to

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

Students are capable

  • to assess whether the supporting theoretical and practical excercises are better solved individually or in a team,
  • to assess their individual progess and, if necessary, to ask questions and seek help.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Computer Science: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Data Science: Compulsory
Bioprocess Engineering: Specialisation A - General Bioprocess Engineering: Elective Compulsory
Data Science: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Elective Compulsory
Engineering Science: Core Qualification: Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Mechanical Engineering: Specialisation Theoretical Mechanical Engineering: Compulsory
Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Mechanical Engineering: Specialisation Mechatronics: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course Core Studies: Elective Compulsory
Process Engineering: Specialisation Process Engineering: Elective Compulsory
Course L0417: Numerical Mathematics I
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sabine Le Borne
Language EN
Cycle WiSe
Content
  1. Finite precision arithmetic, error analysis, conditioning and stability
  2. Linear systems of equations: LU and Cholesky factorization, condition
  3. Interpolation: polynomial, spline and trigonometric interpolation
  4. Nonlinear equations: fixed point iteration, root finding algorithms, Newton's method
  5. Linear and nonlinear least squares problems: normal equations, Gram Schmidt and Householder orthogonalization, singular value decomposition, regularizatio, Gauss-Newton and Levenberg-Marquardt methods
  6. Eigenvalue problems: power iteration, inverse iteration, QR algorithm
  7. Numerical differentiation
  8. Numerical integration: Newton-Cotes rules, error estimates, Gauss quadrature, adaptive quadrature
Literature
  • Gander/Gander/Kwok: Scientific Computing: An introduction using Maple and MATLAB, Springer (2014)
  • Stoer/Bulirsch: Numerische Mathematik 1, Springer
  • Dahmen, Reusken: Numerik für Ingenieure und Naturwissenschaftler, Springer
Course L0418: Numerical Mathematics I
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sabine Le Borne, Dr. Jens-Peter Zemke
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0684: Heat Transfer
Courses
Title Typ Hrs/wk CP
Heat Transfer (L0458) Lecture 3 4
Heat Transfer (L0459) Recitation Section (large) 2 2
Module Responsible Dr. Andreas Moschallski
Admission Requirements None
Recommended Previous Knowledge Technical Thermodynamics I, II and Fluid Dynamics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students can

- explain the technical terms,

- classify the various physical processes of heat transfer in terms of conduction-based and radiation-based mechanisms,

- simplify and critically analyze complex heat transfer processes using models,

- methodically develop solutions to tasks.
Skills

The students are able to

- describe the physics of the different Heat Transfer mechanism,

- simplifywith models, calculate and evaluate complex Heat Transfer processes,

- critically question and answer statements on heat transfer,

- solve excersises self-consistent and in small groups.
Personal Competence
Social Competence

In lectures and exercises, the students can use many examples and experiments to discuss in small groups in a goal-oriented manner, develop a solution and present it. Within the exercises, the students can independently develop further questions and work out targeted solutions.
Autonomy

The students can check their level of knowledge by means of repetition questions at the beginning of the lectures and describe and discuss answers in exchange with the other students. In the exercises, the students work in small groups on the methods taught in the lectures in complex tasks and critically analyze the results in the auditorium.
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Compulsory
Energy Systems: Technical Complementary Course Core Studies: Elective Compulsory
Mechanical Engineering: Specialisation Energy Systems: Compulsory
Mechanical Engineering: Specialisation Theoretical Mechanical Engineering: Elective Compulsory
Course L0458: Heat Transfer
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Dr. Andreas Moschallski
Language DE
Cycle WiSe
Content

Dimensional analysis, Heat Conduction (steady and unsteady) , Convective Heat Transfer (natural convection, forced convection), Two-phase Heat Transfer (evaporation, condensation), Thermal Radiation, Heat Transfer on a thermodynamic view, thermotechnical devices, measures of temperature and heat flux
Literature

- Herwig, H.; Moschallski, A.: Wärmeübertragung, 4. Auflage, Springer Vieweg Verlag, Wiesbaden, 2019

- Herwig, H.: Wärmeübertragung von A-Z, Springer- Verlag, Berlin, Heidelberg, 2000

- Baehr, H.D.; Stephan, K.: Wärme- und Stoffübertragung, 2. Auflage, Springer Verlag, Berlin, Heidelberg, 1996
Course L0459: Heat Transfer
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Dr. Andreas Moschallski
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module 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
Civil Engineering: Specialisation Computational 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 Theoretical Mechanical Engineering: Elective Compulsory
Mechanical Engineering: Specialisation Mechatronics: 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 Dr. Hanna Peywand Kiani
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 M1595: Machine Learning I
Courses
Title Typ Hrs/wk CP
Machine Learning I (L2432) Lecture 2 3
Machine Learning I (L2433) Recitation Section (small) 3 3
Module Responsible Prof. Nihat Ay
Admission Requirements None
Recommended Previous Knowledge Linear Algebra, Analysis, Basic Programming Course
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students know

  • general principles of machine learning learning: supervised/unsupervised learning, generative/descriptive learning, parametric/non-parametric learning
  • different learning methods: neural networks, support vector machines, clustering, dimensionality reduction, kernel methods
  • fundamentals of statistical learning theory
  • advanced techniques such as transfer learning, reinforcement learning, generative adversarial networks and adaptive control
Skills

The students can

  • apply machine learning methods to concrete problems
  • select and evaluate suitable methods for specific problems
  • evaluate the quality of a trained data-driven model
  • work with known software frameworks for machine learning
  • adapt the architecture and cost function of neural networks to specific problems
  • show the limits of machine learning methods
Personal Competence
Social Competence

Students can work on complex problems both independently and in teams. They can exchange ideas with each other and use their individual strengths to solve the problem.
Autonomy

Students are able to independently investigate a complex problem and assess which competencies are required to solve it. 
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 20 % Excercises
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Data Science: Compulsory
Computer Science: Specialisation I. Computer and Software Engineering: Elective Compulsory
Data Science: Core Qualification: Compulsory
Engineering Science: Specialisation Advanced Materials: Elective Compulsory
Engineering Science: Specialisation Data Science: Compulsory
Engineering Science: Specialisation Mechanical Engineering: Elective Compulsory
Engineering Science: Specialisation Information and Communication Systems: Compulsory
Engineering Science: Specialisation Mechatronics: Elective Compulsory
Engineering Science: Specialisation Mechanical Engineering and Management: Elective Compulsory
Computer Science in Engineering: Specialisation I. Computer Science: Elective Compulsory
Logistics and Mobility: Specialisation Information Technology: Elective Compulsory
Mechanical Engineering: Specialisation Theoretical Mechanical Engineering: Elective Compulsory
Mechatronics: Specialisation Dynamic Systems and AI: Compulsory
Technomathematics: Specialisation II. Informatics: Elective Compulsory
Engineering and Management - Major in Logistics and Mobility: Specialisation II. Information Technology: Elective Compulsory
Course L2432: Machine Learning I
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Nihat Ay
Language DE/EN
Cycle SoSe
Content
  • History of neuroscience and machine learning (in particular, the age of deep learning)
  • McCulloch-Pitts neurons and binary Artificial Neural Networks
  • Boolean and threshold functions
  • Universality of McCulloch-Pitts neural networks
  • Learning and the perceptron convergence theorem
  • Support vector machines
  • Harmonic analysis of Boolean functions
  • Continuous Artificial Neural Networks
  • Kolmogorov’s superposition theorem
  • Universal approximation with continuous neural networks
  • Approximation error and the gradient decent method: the general idea
  • The stochastic gradient decent method (Robbins-Monro and Kiefer-Wolfowitz cases)
  • Multilayer networks and the backpropagation algorithm
  • Statistical Learning Theory
Literature
  • Martin Anthony and Peter L. Bartlett. Neural Network Learning: Theoretical Foundations. Cambridge University Press, 1999.
  • Martin Anthony. Discrete Mathematics of Neural Networks: Selected Topics. SIAM Monographs on Discrete Mathematics & Applications, 1987.
  • Mehryar Mohri, Afshin Rostamizadeh and Ameet Talwalkar. Foundations of Machine Learning, Second Edition. MIT Press, 2018.  
  • Christopher M. Bishop. Pattern Recognition and Machine Learning. Information Science and Statistics. Springer-Verlag, 2008.
  • Bernhard Schölkopf, Alexander Smola. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond. Adaptive Computation and Machine Learning series. MIT Press, Cambridge, MA, 2002.
  • Luc Devroye, László Györfi, Gábor Lugosi. A Probabilistic Theory of Pattern Recognition. Springer, 1996.
  • Vladimir Vapnik. The Nature of Statistical Learning Theory. Springer-Verlag: New York, Berlin, Heidelberg, 1995.




 

Course L2433: Machine Learning I
Typ Recitation Section (small)
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Nihat Ay
Language DE/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M2027: Modeling, Simulation and Optimization (EN)
Courses
Title Typ Hrs/wk CP
Modeling, Simulation and Optimization (EN) (L2446) Integrated Lecture 4 6
Module Responsible Prof. Benedikt Kriegesmann
Admission Requirements None
Recommended Previous Knowledge

Sound knowledge of engineering mathematics, engineering mechanics and fluid mechanics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

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

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

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

The students are able to develop solution strategies for complex problems self-consistent and critically analyse results.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Elective Compulsory
Engineering Science: Specialisation Advanced Materials: Compulsory
Engineering Science: Specialisation Biomedical Engineering: Compulsory
Engineering Science: Specialisation Mechanical Engineering and Management: Compulsory
Engineering Science: Specialisation Mechatronics: Elective Compulsory
Engineering Science: Specialisation Mechanical Engineering: Compulsory
Mechanical Engineering: Specialisation Theoretical Mechanical Engineering: Compulsory
Mechanical Engineering: Specialisation Mechatronics: Elective Compulsory
Mechanical Engineering: Specialisation Aircraft Systems Engineering: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Course L2446: Modeling, Simulation and Optimization (EN)
Typ Integrated Lecture
Hrs/wk 4
CP 6
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Lecturer Prof. Benedikt Kriegesmann, Prof. Alexander Düster, Prof. Robert Seifried, Prof. Thomas Rung
Language EN
Cycle SoSe
Content
  • Partial Differential Equations in technical problems
  • Overview of modelling approaches
  • Finite Approximation Methods - Finite Differences / Elements / Volumes
  • Introduction to the Discrete Element Method
  • Numerical methods for time dependent problems
  • Gradient-based optimization
Literature

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

Thesis

The final dissertation for the dual study programme is intended to demonstrate that the candidate is in a position to independently work on a subject-related problem following academic methods within a specified period of time. 

The final dissertation for the dual study programme is prepared at the partner company. The final dissertation can be supervised by an employee from the partner company, provided that the framework conditions specified by TUHH are followed.


Module M1800: Bachelor thesis (dual study program)
Courses
Title Typ Hrs/wk CP
Module Responsible Professoren der TUHH
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Dual students…

  • … choose central theoretical principles from their field of study (facts, theories, methods) in relation to problems and applications, present them and discuss them critically.
  • … further develop their subject-related and practical knowledge as appropriate and link both areas of knowledge together. 
  • … present the current research available on a chosen topic or on a chosen operational issue linked to their subject.
Skills

Dual students…

  • … evaluate both the basic knowledge linked to their field of study acquired at the university and professional knowledge gained through the company, then purposefully use it to solve technical and application-related problems.
  • … analyse questions and problems using the methods learned throughout their studies (including practical phases), reach factually justifiable decisions and develop application-specific solutions.
  • … critically analyse the results of their own research work from a subject-specific and professional perspective.
Personal Competence
Social Competence

Dual students…

  • … present a professional problem in the form of an academic question for a specialist audience in a structured, comprehensible and factually correct manner, both orally and in writing. 
  • … respond to questions as part of a specialist discussion and answer them appropriately. In doing so, they argue their own evaluations and points of view convincingly.
Autonomy

Dual students…

  • … structure a comprehensive, chronological workflow and work independently on a question to a high academic level within a given period of time.
  • … identify, develop and link necessary knowledge and material to handle an academic and application-related problem. 
  • … apply the essential techniques of academic work when conducting their own research on an operational issue.
Workload in Hours Independent Study Time 360, Study Time in Lecture 0
Credit points 12
Course achievement None
Examination Thesis
Examination duration and scale According to General Regulations
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Thesis: Compulsory
Civil- and Environmental Engineering: Thesis: Compulsory
Chemical and Bioprocess Engineering: Thesis: Compulsory
Computer Science: Thesis: Compulsory
Data Science: Thesis: Compulsory
Electrical Engineering: Thesis: Compulsory
Engineering Science: Thesis: Compulsory
Green Technologies: Energy, Water, Climate: Thesis: Compulsory
Computer Science in Engineering: Thesis: Compulsory
Mechanical Engineering: Thesis: Compulsory
Mechatronics: Thesis: Compulsory
Naval Architecture: Thesis: Compulsory
Technomathematics: Thesis: Compulsory
Engineering and Management - Major in Logistics and Mobility: Thesis: Compulsory