Program description

Content

The 4-semester research-oriented master's degree (MSc) "Theoretical Mechanical Engineering" builds on research-oriented Mechanical Engineering-oriented undergraduate degree programs (BSc). Required are in-depth knowledge in mathematics and science and engineering fundamentals. The graduates acquire basic research and methodological oriented content, including interdisciplinary orientation, mechanical engineering knowledge and associated mechanical engineering expertise to develop mathematical descriptions, analysis and synthesis of complex technical systems methods, products or processes. In this course, the program combines the two most important theoretical and methodological areas, namely the simulation technology and systems theory. For this purpose, mathematical foundations and in-depth knowledge in areas such as the Technical dynamics, control engineering, numerical and structural mechanics are learned.

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 master's degree program in Theoretical Mechanical Engineering prepares its graduates for professional and managerial positions in research and development. Through the course’s focus on theory-method-oriented content and principles as well as intensive scientific thinking training, graduates are qualified for a wide field of work, especially in the area of mechanical and automotive engineering, biotechnology and medical technology, power engineering, aerospace engineering, shipbuilding, automation , materials science and related fields.

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 graduates can:

• analyze and solve scientific problems, even if they are defined uncommon or incomplete and competing specifications 

• formulate abstract and complex problems from a new or evolving the field of their discipline

• apply innovative methods in basic research oriented problem solving and develop new scientific methods

• identify information needs and find information

  • plan and perform theoretical and experimental investigations

• Evaluate data critically and draw conclusions

• analyze and evaluate the use of new and emerging technologies.

Graduates are able to:

• develop concepts and solutions to basic research, partly unusual problems, possibly involving other disciplines,

  • create and develop new products, processes and methods

• apply their scientific engineering judgment to work with complex, possibly incomplete information, to identify contradictions and deal with them

• classify knowledge from different fields methodically and systematically, to combine and handle complexity;

• familiarize themselves systematically, and in a short time frame, with new tasks

  • To reflect systematically the non-technical implications of engineering activity and to act responsibly

• to develop solutions and further methodological skills.

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 is divided into basic research core courses and an application-specific specialization. In addition to the core subjects and mathematics, students develop in-depth knowledge in areas such as technical dynamics, control engineering, numerical and structural mechanics. To deepen the foundations of application specific specializations, modules are selected. Other technical and non-technical elective courses may be selected from the range of subjects TUHH and the University of Hamburg. During the last semester the Master thesis is carried out.

The curricular content is thus divided into six groups:

• Key skills, required courses (54 ECTS)

• Key skills, electives (24 ECTS)

• Project Work (12 ECTS)

• A specialization (18 ECTS)

• General non-technical content (12 ECTS)

• Master's thesis (30 ECTS).

The areas of specialization are:

• Biological and Medical Engineering

• Energy Technology

• Aircraft Systems

• Maritime Technology

• Numerical and computer science

• Product development and production

• Materials Engineering

The choice of specialization is required, its contents are closely related to the research topics of the Institute. The key skills already acquired in undergraduate study for mechanical engineering are developed within the Master's program.

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

Important

Module M0523: Business & Management

Module Responsible Prof. Matthias Meyer
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 find their way around selected special areas of management within the scope of business management.
  • Students are able to explain basic theories, categories, and models in selected special areas of business management.
  • Students are able to interrelate technical and management knowledge.


Skills
  • Students are able to apply basic methods in selected areas of business management.
  • Students are able to explain and give reasons for decision proposals on practical issues in areas of business management.


Personal Competence
Social Competence
  • Students are able to communicate in small interdisciplinary groups and to jointly develop solutions for complex problems

Autonomy
  • Students are capable of acquiring necessary knowledge independently by means of research and preparation of material.


Workload in Hours Depends on choice of courses
Credit points 6
Courses
Information regarding lectures and courses can be found in the corresponding module handbook published separately.

Module M1259: Technical Complementary Course Core Studies for TMBMS (according to Subject Specific Regulations)

Courses
Title Typ Hrs/wk CP
Module Responsible Prof. Robert Seifried
Admission Requirements None
Recommended Previous Knowledge see FSPO
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge see FSPO
Skills see FSPO
Personal Competence
Social Competence see FSPO
Autonomy see FSPO
Workload in Hours Depends on choice of courses
Credit points 6
Assignment for the Following Curricula Theoretical Mechanical Engineering: Core Qualification: Elective Compulsory

Module M0751: Vibration Theory

Courses
Title Typ Hrs/wk CP
Vibration Theory (L0701) Integrated Lecture 4 6
Module Responsible Prof. Norbert Hoffmann
Admission Requirements None
Recommended Previous Knowledge
  • Calculus
  • Linear Algebra
  • Engineering Mechanics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students are able to denote terms and concepts of Vibration Theory and develop them further.
  • Students know methods of modeling and simulation for free, driven, self-excited and parameter driven vibrations.
  • Students know about concepts of linear and nonlinear vibration problems.
  • Students know basic tasks of vibration problems of discrete and continuous systems.
Skills
  • Students are able to denote methods of Vibration Theory and develop them further.
  • Students are able to apply and expand methods of modeling and simulation for free, forced, self-excited and parameter driven vibrations.
  • Students are able to solve linear and nonlinear vibration problems.
Personal Competence
Social Competence
  • Students can analyze vibration problems, work on them, and reach working results also in teams or groups.
  • Students are able to document the results of vibration studies also in groups.
Autonomy
  • Students are able to individually analyze and solve vibration problems.
  • Students are able to approach individually research tasks in Vibration Theory.
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 2 Hours
Assignment for the Following Curricula Energy Systems: Core Qualification: Elective Compulsory
International Management and Engineering: Specialisation II. Mechatronics: Elective Compulsory
Mechanical Engineering and Management: Specialisation Mechatronics: Elective Compulsory
Mechatronics: Core Qualification: Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Product Development, Materials and Production: Core Qualification: Compulsory
Naval Architecture and Ocean Engineering: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Core Qualification: Elective Compulsory
Course L0701: Vibration Theory
Typ Integrated Lecture
Hrs/wk 4
CP 6
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Lecturer Prof. Norbert Hoffmann
Language DE/EN
Cycle WiSe
Content

Linear and Nonlinear Single and Multiple Degree of Freedom Vibrations

  • Free vibration
  • Self-excited vibration
  • Parameter driven vibration
  • Forced vibration
  • Multi degree of freedom vibration
  • Continuum vibration
  • Irregular vibration
Literature

German - K. Magnus, K. Popp, W. Sextro: Schwingungen. Physikalische Grundlagen und mathematische Behandlung von Schwingungen.

English - K. Magnus: Vibrations. 

Module M1759: Linking theory and practice (dual study program, Master's degree)

Module Responsible Dr. Henning Haschke
Admission Requirements None
Recommended Previous Knowledge
  • Successful completion of practical modules as part of the dual Bachelor’s course
  • Module "interlinking theory and practice as part of the dual Master’s course"
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 current theories, concepts and methods 

  • related to project management and
  • change and transformation management

... and apply them to specific situations, processes and plans in a personal, 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.
  • … develop specialised technical and conceptual skills to solve complex tasks and problems in their professional field of activity/work.
Personal Competence
Social Competence

Dual students …

  • … can responsibly lead interdisciplinary teams within the framework of complex tasks and problems.
  • … engage in sector-specific and cross-sectoral discussions with experts, stakeholders and staff, representing their approaches, points of view and work results.
Autonomy

Dual students …

  • … define, reflect and evaluate goals and measures for complex application-oriented projects and change processes.
  • … shape their professional area of responsibility independently and sustainably.
  • … take responsibility for their actions and for the results of their work.
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 L2890: Responsible Project Management in Engineering (for Dual Study Program)
Typ Seminar
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Dr. Henning Haschke, Heiko Sieben
Language DE
Cycle WiSe/SoSe
Content
  • Theories and methods of project management
  • Innovation management
  • Agile project management
  • Fundamentals of classic and agile methods
  • Hybrid use of classic and agile methods  
  • Roles, perspectives and stakeholders throughout the project
  • Initiating and coordinating complex engineering projects
  • Principles of moderation, team management, team leadership, conflict management
  • Communication structures: in-house, cross-company
  • Public information policy
  • Promoting commitment and empowerment
  • Sharing experience with specialists and managers from the engineering sector
  • Documenting and reflecting on learning experiences
Literature

Seminarapparat

Course L2891: Responsible Change and Transformation Management in Engineering (for Dual Study Program)
Typ Seminar
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Dr. Henning Haschke, Heiko Sieben
Language DE
Cycle WiSe/SoSe
Content
  • Basic concepts, opportunities and limits of organisational change 
  • Models and methods of organisational design and development
  • Strategic orientation and change, and their short-, medium- and long-term consequences for individuals, organisations and society as a whole
  • Roles, perspectives and stakeholders in change processes
  • Initiating and coordinating change measures in engineering
  • Phase models of organisational change (Lewin, Kotter, etc.) 
  • Change-oriented information policy and dealing with resistance and uncertainty 
  • Promoting commitment and empowerment
  • Successfully handling change and transformation: personally, as an employee, as a manager (personal, professional, organisational)
  • Company-level and globally (systemic)
  • Sharing experience with specialists and managers from the engineering sector
  • Documenting and reflecting on learning experiences
Literature Seminarapparat

Module M1756: Practical module 1 (dual study program, Master's degree)

Courses
Title Typ Hrs/wk CP
Practical term 1 (dual study program, Master's degree) (L2887) 0 10
Module Responsible Dr. Henning Haschke
Admission Requirements None
Recommended Previous Knowledge
  • Successful completion of a compatible dual B.Sc. at TU Hamburg or comparable practical work experience and competences in the area of interlinking theory and practice
  • Course D from the module on interlinking theory and practice as part of the dual Master’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 in engineering. 
  • … 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 solutions as well as procedures and approaches in their field of activity and area of responsibility.
Personal Competence
Social Competence

Dual students …

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

Dual students …

  • … define goals for their own learning and working processes as engineers.
  • … reflect on learning and work processes in their area of responsibility.
  • … reflect on the relevance of subject modules specialisations and specialisation for work as an engineer, and also implement the university’s application recommendations and the associated challenges to positively transfer knowledge between theory and practice.
Workload in Hours Independent Study Time 300, Study Time in Lecture 0
Credit points 10
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 Civil Engineering: Core Qualification: Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Computer Science: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Compulsory
Energy Systems: Core Qualification: Compulsory
Environmental Engineering: Core Qualification: Compulsory
Aircraft Systems Engineering: Core Qualification: Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Information and Communication Systems: Core Qualification: Compulsory
International Management and Engineering: Core Qualification: Compulsory
Logistics, Infrastructure and Mobility: Core Qualification: Compulsory
Aeronautics: Core Qualification: Compulsory
Materials Science and Engineering: Core Qualification: Compulsory
Materials Science: Core Qualification: Compulsory
Mechanical Engineering and Management: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Biomedical Engineering: Core Qualification: Compulsory
Microelectronics and Microsystems: Core Qualification: Compulsory
Product Development, Materials and Production: Core Qualification: Compulsory
Renewable Energies: Core Qualification: Compulsory
Naval Architecture and Ocean Engineering: Core Qualification: Compulsory
Theoretical Mechanical Engineering: Core Qualification: Compulsory
Process Engineering: Core Qualification: Compulsory
Water and Environmental Engineering: Core Qualification: Compulsory
Course L2887: Practical term 1 (dual study program, Master's degree)
Typ
Hrs/wk 0
CP 10
Workload in Hours Independent Study Time 300, Study Time in Lecture 0
Lecturer Dr. Henning Haschke
Language DE
Cycle WiSe/SoSe
Content

Company onboarding process

  • Assigning a professional field of activity as an engineer (B.Sc.) and associated fields of work
  • Establishing responsibilities and authorisation of the dual student within the company as an engineer (B.Sc.)
  • Working independently in a team and on selected projects - across departments and, if applicable, across companies
  • Scheduling the current practical module with a clear correlation to work structures 
  • Scheduling the examination phase/subsequent study semester

Operational knowledge and skills

  • Company-specific: Responsibility as an engineer (B.Sc.) in their own area of work, coordinating team and project work, dealing with complex contexts and unsolved problems, developing and implementing innovative solutions
  • Subject specialisation (corresponding to the chosen course [M.Sc.]) in the field of activity
  • Systemic skills
  • 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
  • Importance of course contents (M.Sc.) when working as an engineer
  • Importance of development and innovation when working as an engineer
Literature
  • Studierendenhandbuch
  • Betriebliche Dokumente
  • Hochschulseitige Handlungsempfehlungen zum Theorie-Praxis-Transfer

Module M0808: Finite Elements Methods

Courses
Title Typ Hrs/wk CP
Finite Element Methods (L0291) Lecture 2 3
Finite Element Methods (L0804) Recitation Section (large) 2 3
Module Responsible Prof. Benedikt Kriegesmann
Admission Requirements None
Recommended Previous Knowledge

Mechanics I (Statics, Mechanics of Materials) and Mechanics II (Hydrostatics, Kinematics, Dynamics)
Mathematics I, II, III (in particular differential equations)

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

The students possess an in-depth knowledge regarding the derivation of the finite element method and are able to give an overview of the theoretical and methodical basis of the method.



Skills

The students are capable to handle engineering problems by formulating suitable finite elements, assembling the corresponding system matrices, and solving the resulting system of equations.



Personal Competence
Social Competence

Students can work in small groups on specific problems to arrive at joint solutions.

Autonomy

The students are able to independently solve challenging computational problems and develop own finite element routines. Problems can be identified and the results are critically scrutinized.



Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 20 % Midterm
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula Civil Engineering: Core Qualification: Compulsory
Energy Systems: Core Qualification: Elective Compulsory
Aircraft Systems Engineering: Core Qualification: Elective Compulsory
International Management and Engineering: Specialisation II. Mechatronics: Elective Compulsory
International Management and Engineering: Specialisation II. Product Development and Production: Elective Compulsory
Aeronautics: Core Qualification: Elective Compulsory
Mechatronics: Core Qualification: Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Product Development, Materials and Production: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Theoretical Mechanical Engineering: Core Qualification: Compulsory
Course L0291: Finite Element Methods
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Benedikt Kriegesmann
Language EN
Cycle WiSe
Content

- General overview on modern engineering
- Displacement method
- Hybrid formulation
- Isoparametric elements
- Numerical integration
- Solving systems of equations (statics, dynamics)
- Eigenvalue problems
- Non-linear systems
- Applications

- Programming of elements (Matlab, hands-on sessions)
- Applications

Literature

Bathe, K.-J. (2000): Finite-Elemente-Methoden. Springer Verlag, Berlin

Course L0804: Finite Element Methods
Typ Recitation Section (large)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Benedikt Kriegesmann
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0846: Control Systems Theory and Design

Courses
Title Typ Hrs/wk CP
Control Systems Theory and Design (L0656) Lecture 2 4
Control Systems Theory and Design (L0657) Recitation Section (small) 2 2
Module Responsible NN
Admission Requirements None
Recommended Previous Knowledge Introduction to Control Systems
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students can explain how linear dynamic systems are represented as state space models; they can interpret the system response to initial states or external excitation as trajectories in state space
  • They can explain the system properties controllability and observability, and their relationship to state feedback and state estimation, respectively
  • They can explain the significance of a minimal realisation
  • They can explain observer-based state feedback and how it can be used to achieve tracking and disturbance rejection
  • They can extend all of the above to multi-input multi-output systems
  • They can explain the z-transform and its relationship with the Laplace Transform
  • They can explain state space models and transfer function models of discrete-time systems
  • They can explain the experimental identification of ARX models of dynamic systems, and how the identification problem can be solved by solving a normal equation
  • They can explain how a state space model can be constructed from a discrete-time impulse response

Skills
  • Students can transform transfer function models into state space models and vice versa
  • They can assess controllability and observability and construct minimal realisations
  • They can design LQG controllers for multivariable plants
  •  They can carry out a controller design both in continuous-time and discrete-time domain, and decide which is  appropriate for a given sampling rate
  • They can identify transfer function models and state space models of dynamic systems from experimental data
  • They can carry out all these tasks using standard software tools (Matlab Control Toolbox, System Identification Toolbox, Simulink)

Personal Competence
Social Competence

Students can work in small groups on specific problems to arrive at joint solutions. 

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 Electrical Engineering: Core Qualification: Compulsory
Energy Systems: Core Qualification: Elective Compulsory
Aircraft Systems Engineering: Core Qualification: Elective Compulsory
Aeronautics: Core Qualification: Elective Compulsory
Mechanical Engineering and Management: Specialisation Mechatronics: Elective Compulsory
Mechatronics: Core Qualification: Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Product Development, Materials and Production: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Core Qualification: Compulsory
Course L0656: Control Systems Theory and Design
Typ Lecture
Hrs/wk 2
CP 4
Workload in Hours Independent Study Time 92, Study Time in Lecture 28
Lecturer NN
Language EN
Cycle WiSe
Content

State space methods (single-input single-output)

• State space models and transfer functions, state feedback 
• Coordinate basis, similarity transformations 
• Solutions of state equations, matrix exponentials, Caley-Hamilton Theorem
• Controllability and pole placement 
• State estimation, observability, Kalman decomposition 
• Observer-based state feedback control, reference tracking 
• Transmission zeros
• Optimal pole placement, symmetric root locus 
Multi-input multi-output systems
• Transfer function matrices, state space models of multivariable systems, Gilbert realization 
• Poles and zeros of multivariable systems, minimal realization 
• Closed-loop stability
• Pole placement for multivariable systems, LQR design, Kalman filter 

Digital Control
• Discrete-time systems: difference equations and z-transform 
• Discrete-time state space models, sampled data systems, poles and zeros 
• Frequency response of sampled data systems, choice of sampling rate 

System identification and model order reduction 
• Least squares estimation, ARX models, persistent excitation 
• Identification of state space models, subspace identification 
• Balanced realization and model order reduction 

Case study
• Modelling and multivariable control of a process evaporator using Matlab and Simulink 
Software tools
• Matlab/Simulink

Literature
  • Werner, H., Lecture Notes „Control Systems Theory and Design“
  • T. Kailath "Linear Systems", Prentice Hall, 1980
  • K.J. Astrom, B. Wittenmark "Computer Controlled Systems" Prentice Hall, 1997
  • L. Ljung "System Identification - Theory for the User", Prentice Hall, 1999
Course L0657: Control Systems Theory and Design
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer NN
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1306: Control Lab C

Courses
Title Typ Hrs/wk CP
Control Lab IX (L1836) Practical Course 1 1
Control Lab VII (L1834) Practical Course 1 1
Control Lab VIII (L1835) Practical Course 1 1
Module Responsible Prof. Herbert Werner
Admission Requirements None
Recommended Previous Knowledge
  • State space methods
  • LQG control
  • H2 and H-infinity optimal control
  • uncertain plant models and robust control
  •  LPV control
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students can explain the difference between validation of a control lop in simulation and experimental validation
Skills
  • Students are capable of applying basic system identification tools (Matlab System Identification Toolbox) to identify a dynamic model that can be used for controller synthesis
  • They are capable of using standard software tools (Matlab Control Toolbox) for the design and implementation of LQG controllers
  • They are capable of using standard software tools (Matlab Robust Control Toolbox) for the mixed-sensitivity design and the implementation of H-infinity optimal controllers
  • They are capable of representing model uncertainty, and of designing and implementing a robust controller
  • They are capable of using standard software tools (Matlab Robust Control Toolbox) for the design and the implementation of LPV gain-scheduled controllers
Personal Competence
Social Competence
  • Students can work in teams to conduct experiments and document the results
Autonomy
  • Students can independently carry out simulation studies to design and validate control loops
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Credit points 3
Course achievement None
Examination Written elaboration
Examination duration and scale 1
Assignment for the Following Curricula Electrical Engineering: Specialisation Control and Power Systems Engineering: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Core Qualification: Elective Compulsory
Course L1836: Control Lab IX
Typ Practical Course
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Herbert Werner, Adwait Datar, Patrick Göttsch
Language EN
Cycle WiSe/SoSe
Content

One of the offered experiments in control theory.

Literature

Experiment Guides

Course L1834: Control Lab VII
Typ Practical Course
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Herbert Werner, Patrick Göttsch
Language EN
Cycle WiSe/SoSe
Content

One of the offered experiments in control theory.

Literature

Experiment Guides

Course L1835: Control Lab VIII
Typ Practical Course
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Herbert Werner, Adwait Datar, Patrick Göttsch
Language EN
Cycle WiSe/SoSe
Content

One of the offered experiments in control theory.

Literature

Experiment Guides

Module M1204: Modelling and Optimization in Dynamics

Courses
Title Typ Hrs/wk CP
Flexible Multibody Systems (L1632) Lecture 2 3
Optimization of dynamical systems (L1633) Lecture 2 3
Module Responsible Prof. Robert Seifried
Admission Requirements None
Recommended Previous Knowledge
  • Mathematics I, II, III
  • Mechanics I, II, III, IV
  • Simulation of dynamical Systems
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students demonstrate basic knowledge and understanding of modeling, simulation and analysis of complex rigid and flexible multibody systems and methods for optimizing dynamic systems after successful completion of the module.

Skills

Students are able

+ to think holistically

+ to independently, securly and critically analyze and optimize basic problems of the dynamics of rigid and flexible multibody systems

+ to describe dynamics problems mathematically

+ to optimize dynamics problems

Personal Competence
Social Competence

Students are able to

+ solve problems in heterogeneous groups and to document the corresponding results.


Autonomy

Students are able to

+ assess their knowledge by means of exercises.

+ acquaint themselves with the necessary knowledge to solve research oriented tasks.


Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula Aircraft Systems Engineering: Core Qualification: Elective Compulsory
Aeronautics: Core Qualification: Elective Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Mechatronics: Specialisation System Design: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Product Development, Materials and Production: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Core Qualification: Elective Compulsory
Course L1632: Flexible Multibody Systems
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Robert Seifried, Dr. Alexander Held
Language DE
Cycle WiSe
Content
  1. Basics of Multibody Systems
  2. Basics of Continuum Mechanics
  3. Linear finite element modelles and modell reduction
  4. Nonlinear finite element Modelles: absolute nodal coordinate formulation
  5. Kinematics of an elastic body 
  6. Kinetics of an elastic body
  7. System assembly
Literature

Schwertassek, R. und Wallrapp, O.: Dynamik flexibler Mehrkörpersysteme. Braunschweig, Vieweg, 1999.

Seifried, R.: Dynamics of Underactuated Multibody Systems, Springer, 2014.

Shabana, A.A.: Dynamics of Multibody Systems. Cambridge Univ. Press, Cambridge, 2004, 3. Auflage.


Course L1633: Optimization of dynamical systems
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Robert Seifried, Dr. Svenja Drücker
Language DE
Cycle WiSe
Content
  1. Formulation and classification of optimization problems 
  2. Scalar Optimization
  3. Sensitivity Analysis
  4. Unconstrained Parameter Optimization
  5. Constrained Parameter Optimization
  6. Stochastic optimization
  7. Multicriteria Optimization
  8. Topology Optimization


Literature

Bestle, D.: Analyse und Optimierung von Mehrkörpersystemen. Springer, Berlin, 1994.

Nocedal, J. , Wright , S.J. : Numerical Optimization. New York: Springer, 2006.


Module M1150: Continuum Mechanics

Courses
Title Typ Hrs/wk CP
Continuum Mechanics (L1533) Lecture 2 3
Continuum Mechanics Exercise (L1534) Recitation Section (small) 2 3
Module Responsible Prof. Christian Cyron
Admission Requirements None
Recommended Previous Knowledge

Basics of mechanics as taught, e.g., in the modules Engineering Mechanics I and Engineering Mechanics II at TUHH (forces and moments, stress, linear strain, free-body principle, linear-elastic constitutive laws, strain energy); basics of mathematics as taught, e.g., in the modules Mathematics I and Mathematics II at TUHH


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

In this module, students learn the fundamental concepts of nonlinear continuum mechanics. This theory enables students to describe arbitrary deformations of continuous bodies (solid, liquid or gaseous) under arbitrary loads. The module is a continuation of the basic module Engineering Mechanics II (elastostatics), the limiting assumptions (isotropic, linear-elastic material behavior, small deformations, simple geometries) of which are successively eliminated.

First, the students learn the necessary fundamentals of tensor calculus. Based on this, the description of the deformations / strains of arbitrarily deformable bodies is dealt with. The students learn the mathematical formalism for characterizing the stress state of a body and for formulating the balance equations for mass, momentum, energy and entropy in various forms. Furthermore, the students know which constitutive assumptions have to be made for modeling the material behavior of a mechanical body.



Skills

The students can set up balance laws and apply basics of deformation theory to specific aspects, both in applied contexts as in research contexts.

Personal Competence
Social Competence

The students are able to develop solutions also for complex problems of solid mechanics, to present them to specialists in written form and to develop ideas further.


Autonomy

The students are able to assess their own strengths and weaknesses. They can independently and on their own identify and solve problems in the area of continuum mechanics and acquire the knowledge required to this end.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 60 min
Assignment for the Following Curricula Materials Science: Specialisation Modeling: Elective Compulsory
Mechanical Engineering and Management: Specialisation Materials: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Product Development, Materials and Production: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Core Qualification: Elective Compulsory
Course L1533: Continuum Mechanics
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Christian Cyron
Language DE
Cycle WiSe
Content

Continuum mechanics is a general theory to describe the effect of mechanical forces on continuous mechanical (both solid and fluid) bodies. An important part of continuum mechanics is the mathematical description of strains and stresses as well as the stress-strain response of continuous mechanical bodies. The lecture continuum mechanics builds on the foundations tought in the lecture Engineering Mechanics II (Elastostatics) but extends them significantly. While in the lecture Engineering Mechanics II (Elastostatics) the focus was by and large limited to small deformations of simple bodies under simple loading, the lecture continuum mechanics introduces a general mathematical framework to deal with arbitrarily shaped bodies under arbitrary loading undergoing very general kinds of deformations. This lecture focuses primarily on theoretical aspects of continuum mechanics but its content is key to numerous applications in modern engineering, for example, in production, automotive, and biomedical engineering. The lecture covers:

  • Fundamentals of tensor calculus
    • Transformation invariance
    • Tensor algebra
    • Tensor analysis
  • Kinematics
    • Motion of continuum
    • Deformation of infinitesimal line, area and volume elements
    • Material and spatial description
    • Polar decomposition
    • Spectral decomposition
    • Objectivity
    • Strain measures
    • Time derivatives
      • Partial / material time derivatives
      • Objective time rates
      • Strain and deformation rates
    • Transport theorems
  • Balance equations (global and local form)
    • Balance of mass
    • The stress state
      • Surface traction vectors
      • Cauchy's fundamental theorem
      • Stress tensors (Cauchy, 1. and 2. Piola-Kirchhoff, Kirchhoff stress tensor)
    • Balance of linear momentum
    • Balance of angular momentum
    • Balance of energy
    • Balance of entropy
    • Clausius-Duhem inequality
  • Constitutive laws
    • Constitutive assumptions
    • Fluids
    • Elastic solids
      • Hyperelasticity
      • Material symmetry
    • Elasto-plastic solids
  • Analysis
    • Initial-boundary value problems and their numerical solution 
Literature

R. Greve: Kontinuumsmechanik: Ein Grundkurs für Ingenieure und Physiker

I-S. Liu: Continuum Mechanics, Springer



Course L1534: Continuum Mechanics Exercise
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Christian Cyron
Language DE
Cycle WiSe
Content The exercise on Continuum Mechanics explains the theoretical content of the lecture on Continuum Mechanics by way of a series of specific example problems.
Literature

R. Greve: Kontinuumsmechanik: Ein Grundkurs für Ingenieure und Physiker

I-S. Liu: Continuum Mechanics, Springer


Module M1203: Applied Dynamics: Numerical and experimental methods

Courses
Title Typ Hrs/wk CP
Lab Applied Dynamics (L1631) Practical Course 1 1
Applied Dynamics (L1630) Lecture 4 4
Applied Dynamics (L3103) Recitation Section (small) 1 1
Module Responsible Prof. Robert Seifried
Admission Requirements None
Recommended Previous Knowledge

Mathematics I, II, III, Mechanics I, II, III, IV

Numerical Treatment of Ordinary Differential Equations
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can represent the most important methods of dynamics after successful completion of the module Technical dynamics and have a good understanding of the main concepts in the technical dynamics.

Skills

Students are able

+ to think holistically

+ to independently, securly and critically analyze and optimize basic problems of the dynamics of rigid and flexible multibody systems

+ to describe dynamics problems mathematically

+ to investigate dynamics problems both experimentally and numerically

Personal Competence
Social Competence

Students are able to

+ solve problems in heterogeneous groups and to document the corresponding results.


Autonomy

Students are able to

+ assess their knowledge by means of exercises and experiments.

+ acquaint themselves with the necessary knowledge to solve research oriented tasks.


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 Versuche Fachlabor
No 20 % Excercises Aufgaben in Matlab
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula Mechatronics: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Core Qualification: Compulsory
Course L1631: Lab Applied Dynamics
Typ Practical Course
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dr. Marc-André Pick
Language DE
Cycle SoSe
Content

Practical exercises are performed in groups. The examples are taken from different areas of applied dynamics, such as numerical simulation, experimental validation and experimental vibration analysis.


Literature

Schiehlen, W.; Eberhard, P.: Technische Dynamik, 4. Auflage, Vieweg+Teubner: Wiesbaden, 2014.

Course L1630: Applied Dynamics
Typ Lecture
Hrs/wk 4
CP 4
Workload in Hours Independent Study Time 64, Study Time in Lecture 56
Lecturer Prof. Robert Seifried, Dr. Marc-André Pick
Language DE
Cycle SoSe
Content
  1. Modelling of Multibody Systems
  2. Basics from kinematics and kinetics
  3. Constraints
  4. Multibody systems in minimal coordinates
  5. State space, linearization and modal analysis
  6. Multibody systems with kinematic constraints
  7. Multibody systems as DAE
  8. Non-holonomic multibody systems
  9. Experimental Methods in Dynamics
Literature

Schiehlen, W.; Eberhard, P.: Technische Dynamik, 4. Auflage, Vieweg+Teubner: Wiesbaden, 2014.

Woernle, C.: Mehrkörpersysteme, Springer: Heidelberg, 2011.

Seifried, R.: Dynamics of Underactuated Multibody Systems, Springer, 2014.

Course L3103: Applied Dynamics
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Robert Seifried
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0752: Nonlinear Dynamics

Courses
Title Typ Hrs/wk CP
Nonlinear Dynamics (L0702) Integrated Lecture 4 6
Module Responsible Prof. Norbert Hoffmann
Admission Requirements None
Recommended Previous Knowledge
  • Calculus
  • Linear Algebra
  • Engineering Mechanics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students are able to reflect existing terms and concepts in Nonlinear Dynamics and to develop and research new terms and concepts.
  • Students are able to denote and expand methods of modeling and analysis for nonlinear dynamical systems.
Skills
  • Students are able to apply existing methods and procesures of Nonlinear Dynamics.
  • Students are able to develop novel methods and procedures for nonlinear dynamical systems.
Personal Competence
Social Competence
  • Students can analyze problems of nonlinear dynamics also in groups.
  • Students can achieve solution procedures for problems of nonlinear dynamical systems also in groups.
Autonomy
  • Students are able to approach given research tasks on the basis of given methods individually.
  • Students are able to identify and follow up novel research tasks by themselves.
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 2 Hours
Assignment for the Following Curricula Aircraft Systems Engineering: Core Qualification: Elective Compulsory
International Management and Engineering: Specialisation II. Mechatronics: Elective Compulsory
Aeronautics: Core Qualification: Elective Compulsory
Mechanical Engineering and Management: Specialisation Mechatronics: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Product Development, Materials and Production: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Core Qualification: Elective Compulsory
Course L0702: Nonlinear Dynamics
Typ Integrated Lecture
Hrs/wk 4
CP 6
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Lecturer Prof. Norbert Hoffmann
Language DE/EN
Cycle SoSe
Content

Fundamentals of Nonlinear Dynamics

  • One dimensional problems
    • Linear Stability
    • Local Bifurcations
    • Synchronisation
  • Two dimensional problems
    • Limit Cycles
    • Global Bifurcations
  • Chaos
    • Lorenz Equations
    • Fractals and Strange Attractors
    • Predictability and Horizons
Literature Steven Strogatz: Nonlinear Dynamics and Chaos.

Module M1339: Design optimization and probabilistic approaches in structural analysis

Courses
Title Typ Hrs/wk CP
Design Optimization and Probabilistic Approaches in Structural Analysis (L1873) Lecture 2 3
Design Optimization and Probabilistic Approaches in Structural Analysis (L1874) Recitation Section (large) 2 3
Module Responsible Prof. Benedikt Kriegesmann
Admission Requirements None
Recommended Previous Knowledge
  • Technical mechanics
  • Higher math
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Design optimization
    • Gradient based methods
    • Genetic algorithms
    • Optimization with constraints
    • Topology optimization
  • Reliability analysis
    • Stochastic basics
    • Monte Carlo methods
    • Semi-analytic approaches
  • robust design optimization
    • Robustness measures
    • Coupling of design optimization and reliability analysis
Skills
  • Application of optimization algorithms and probabilistic methods in the design of structures
  • Programming with Matlab
  • Implementation of algorithms
  • Debugging
Personal Competence
Social Competence
  • Team work
  •  Oral explanation of the the work
Autonomy
  • Application of methods learned in the framework of a home work
  • Familiarizing with source code provided
  • Description of approaches and results
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written elaboration
Examination duration and scale 10 pages
Assignment for the Following Curricula Aircraft Systems Engineering: Core Qualification: Elective Compulsory
Aeronautics: Core Qualification: Elective Compulsory
Product Development, Materials and Production: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Core Qualification: Elective Compulsory
Course L1873: Design Optimization and Probabilistic Approaches in Structural Analysis
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 SoSe
Content

In the course the theoretic basics for design optimization and reliability analysis are taught, where the focus is on the application of such methods. The lectures will consist of presentations as well as computer exercises. In the computer exercises, the methods learned will be implemented in Matlab for understanding the practical realization.

The following contents will be considered:

  • Design optimization
    • Gradient based methods
    • Genetic algorithms
    • Optimization with constraints
    • Topology optimization
  • Reliability analysis
    • Stochastic basics
    • Monte Carlo methods
    • Semi-analytic approaches
  • robust design optimization
    • Robustness measures
    • Coupling of design optimization and reliability analysis
Literature

[1] Arora, Jasbir. Introduction to Optimum Design. 3rd ed. Boston, MA: Academic Press, 2011.
[2] Haldar, A., and S. Mahadevan. Probability, Reliability, and Statistical Methods in Engineering Design. John Wiley & Sons New York/Chichester, UK, 2000.

Course L1874: Design Optimization and Probabilistic Approaches in Structural Analysis
Typ Recitation Section (large)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Benedikt Kriegesmann
Language DE
Cycle SoSe
Content

Matlab exercises complementing the lecture

Literature siehe Vorlesung

Module M0657: Computational Fluid Dynamics II

Courses
Title Typ Hrs/wk CP
Computational Fluid Dynamics II (L0237) Lecture 2 3
Computational Fluid Dynamics II (L0421) 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. Basic knowledge of numerical analysis or computational fluid dynamics is of advantage but not necessary.

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

Students will acquire a deeper knowledge of computational fluid dynamics (CFD) and can translate general principles of thermo-/fluid engineering into discrete algorithms on the basis of finite volume methods. 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) on structured and unstructured grids. Students have the required background knowledge to develop, code and apply  modelling concepts to numerically describe turbulent and multiphase flow. They establish a thorough understanding of details of the theoretical background of complex CFD algorithms and the parameters used to control and adjust the execution of CFD procedures.

Skills

The students are able choose and apply appropriate finite volume (FV) approximation concepts and flow physics models that integrate the governing thermofluid dynamic PDEs in space and time. They can apply/optimise FV concepts to/for fluid dynamic applications. They acquire the ability to code computational algorithms dedicated to unstructured grid arrangements, apply these codes for parameter investigations and supplement interfaces to extract simulation data for an engineering analysis. They are able to judge different solution strategies.




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 in a team.

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 Oral exam
Examination duration and scale 0.5h-0.75h
Assignment for the Following Curricula Energy Systems: Core Qualification: Elective Compulsory
Naval Architecture and Ocean Engineering: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Core Qualification: Elective Compulsory
Process Engineering: Specialisation Process Engineering: Elective Compulsory
Course L0237: Computational Fluid Dynamics II
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/EN
Cycle SoSe
Content Computational Modelling of complex single- and multiphase flows using higher-order approximations for unstructured grids and mehsless particle-based methods.
Literature

1)
Vorlesungsmanuskript und Übungsunterlagen

2)
J.H. Ferziger, M. Peric:
Computational Methods for Fluid Dynamics,
Springer

Course L0421: Computational Fluid Dynamics II
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/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0604: High-Order FEM

Courses
Title Typ Hrs/wk CP
High-Order FEM (L0280) Lecture 3 4
High-Order FEM (L0281) Recitation Section (large) 1 2
Module Responsible Prof. Alexander Düster
Admission Requirements None
Recommended Previous Knowledge

Knowledge of partial differential equations is recommended.

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

Students are able to
+ give an overview of the different (h, p, hp) finite element procedures.
+ explain high-order finite element procedures.
+ specify problems of finite element procedures, to identify them in a given situation and to explain their mathematical and mechanical background.

Skills

Students are able to
+ apply high-order finite elements to problems of structural mechanics.
+ select for a given problem of structural mechanics a suitable finite element procedure.
+ critically judge results of high-order finite elements.
+ transfer their knowledge of high-order finite elements to new problems.

Personal Competence
Social Competence Students are able to
+ solve problems in heterogeneous groups.
+ present and discuss their results in front of others.
+ give and accept professional constructive criticism.


Autonomy Students are able to
+ assess their knowledge by means of exercises and E-Learning.
+ acquaint themselves with the necessary knowledge to solve research oriented tasks.
+ to transform the acquired knowledge to similar problems.


Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 10 % Presentation Forschendes Lernen
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula Civil Engineering: Specialisation Computational Engineering: Elective Compulsory
International Management and Engineering: Specialisation II. Product Development and Production: Elective Compulsory
Materials Science: Specialisation Modeling: Elective Compulsory
Mechanical Engineering and Management: Specialisation Product Development and Production: Elective Compulsory
Mechatronics: Technical Complementary Course: Elective Compulsory
Product Development, Materials and Production: Core Qualification: Elective Compulsory
Naval Architecture and Ocean Engineering: Core Qualification: Elective Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Theoretical Mechanical Engineering: Core Qualification: Elective Compulsory
Course L0280: High-Order FEM
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Alexander Düster
Language EN
Cycle SoSe
Content

1. Introduction
2. Motivation
3. Hierarchic shape functions
4. Mapping functions
5. Computation of element matrices, assembly, constraint enforcement and solution
6. Convergence characteristics
7. Mechanical models and finite elements for thin-walled structures
8. Computation of thin-walled structures
9. Error estimation and hp-adaptivity
10. High-order fictitious domain methods


Literature

[1] Alexander Düster, High-Order FEM, Lecture Notes, Technische Universität Hamburg-Harburg, 164 pages, 2014
[2] Barna Szabo, Ivo Babuska, Introduction to Finite Element Analysis – Formulation, Verification and Validation, John Wiley & Sons, 2011


Course L0281: High-Order FEM
Typ Recitation Section (large)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Alexander Düster
Language EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0711: Numerical Mathematics II

Courses
Title Typ Hrs/wk CP
Numerical Mathematics II (L0568) Lecture 2 3
Numerical Mathematics II (L0569) Recitation Section (small) 2 3
Module Responsible Prof. Sabine Le Borne
Admission Requirements None
Recommended Previous Knowledge
  • Numerical Mathematics I
  • Python knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to

  • name advanced numerical methods for interpolation, approximation, integration, eigenvalue problems, eigenvalue problems, nonlinear root finding problems and explain their core ideas,
  • repeat convergence statements for the numerical methods, sketch convergence proofs,
  • explain practical aspects of numerical methods concerning runtime and storage needs
  • explain aspects regarding the practical implementation of numerical methods with respect to computational and storage complexity.

Skills

Students are able to

  • implement, apply and compare advanced numerical methods in Python,
  • justify the convergence behaviour of numerical methods with respect to the problem and solution algorithm and to transfer it to related problems,
  • for a given problem, develop a suitable solution approach, if necessary through composition of several algorithms, to execute this approach and to critically evaluate the results
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 Oral exam
Examination duration and scale 25 min
Assignment for the Following Curricula Computer Science: Specialisation III. Mathematics: Elective Compulsory
Data Science: Specialisation I. Mathematics: Elective Compulsory
Data Science: Specialisation IV. Special Focus Area: Elective Compulsory
Computer Science in Engineering: Specialisation III. Mathematics: Elective Compulsory
Technomathematics: Specialisation I. Mathematics: Elective Compulsory
Theoretical Mechanical Engineering: Core Qualification: Elective Compulsory
Course L0568: Numerical Mathematics II
Typ Lecture
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 DE/EN
Cycle SoSe
Content
  1. Error and stability: Notions and estimates
  2. Rational interpolation and approximation
  3. Multidimensional interpolation (RBF) and approximation (neural nets)
  4. Quadrature: Gaussian quadrature, orthogonal polynomials
  5. Linear systems: Perturbation theory of decompositions, structured matrices
  6. Eigenvalue problems: LR-, QD-, QR-Algorithmus
  7. Nonlinear systems of equations: Newton and Quasi-Newton methods, line search (optional)
  8. Krylov space methods: Arnoldi-, Lanczos methods (optional)
Literature
  • Skript
  • Stoer/Bulirsch: Numerische Mathematik 1, Springer
  • Dahmen, Reusken: Numerik für Ingenieure und Naturwissenschaftler, Springer
Course L0569: Numerical Mathematics II
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 DE/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0727: Stochastics

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

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

Module M0840: Optimal and Robust Control

Courses
Title Typ Hrs/wk CP
Optimal and Robust Control (L0658) Lecture 2 3
Optimal and Robust Control (L0659) Recitation Section (small) 2 3
Module Responsible NN
Admission Requirements None
Recommended Previous Knowledge
  • Classical control (frequency response, root locus)
  • State space methods
  • Linear algebra, singular value decomposition
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students can explain the significance of the matrix Riccati equation for the solution of LQ problems.
  • They can explain the duality between optimal state feedback and optimal state estimation.
  • They can explain how the H2 and H-infinity norms are used to represent stability and performance constraints.
  • They can explain how an LQG design problem can be formulated as special case of an H2 design problem.
  • They  can explain how model uncertainty can be represented in a way that lends itself to robust controller design
  • They can explain how - based on the small gain theorem - a robust controller can guarantee stability and performance for an uncertain plant.
  • They understand how analysis and synthesis conditions on feedback loops can be represented as linear matrix inequalities.
Skills
  • Students are capable of designing and tuning LQG controllers for multivariable plant models.
  • They are capable of representing a H2 or H-infinity design problem in the form of a generalized plant, and of using standard software tools for solving it.
  • They are capable of translating time and frequency domain specifications for control loops into constraints on closed-loop sensitivity functions, and of carrying out a mixed-sensitivity design.
  • They are capable of constructing an LFT uncertainty model for an uncertain system, and of designing a mixed-objective robust controller.
  • They are capable of formulating analysis and synthesis conditions as linear matrix inequalities (LMI), and of using standard LMI-solvers for solving them.
  • They can carry out all of the above using standard software tools (Matlab robust control toolbox).
Personal Competence
Social Competence Students can work in small groups on specific problems to arrive at joint solutions. 
Autonomy

Students are able to find required information in sources provided (lecture notes, literature, software documentation) and use it to solve given problems. 


Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula Electrical Engineering: Specialisation Control and Power Systems Engineering: Elective Compulsory
Energy Systems: Core Qualification: Elective Compulsory
Aircraft Systems Engineering: Core Qualification: Elective Compulsory
Aeronautics: Core Qualification: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Core Qualification: Elective Compulsory
Course L0658: Optimal and Robust Control
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer NN
Language EN
Cycle SoSe
Content
  • Optimal regulator problem with finite time horizon, Riccati differential equation
  • Time-varying and steady state solutions, algebraic Riccati equation, Hamiltonian system
  • Kalman’s identity, phase margin of LQR controllers, spectral factorization
  • Optimal state estimation, Kalman filter, LQG control
  • Generalized plant, review of LQG control
  • Signal and system norms, computing H2 and H∞ norms
  • Singular value plots, input and output directions
  • Mixed sensitivity design, H∞ loop shaping, choice of weighting filters
  • Case study: design example flight control
  • Linear matrix inequalities, design specifications as LMI constraints (H2, H∞ and pole region)
  • Controller synthesis by solving LMI problems, multi-objective design
  • Robust control of uncertain systems, small gain theorem, representation of parameter uncertainty
Literature
  • Werner, H., Lecture Notes: "Optimale und Robuste Regelung"
  • Boyd, S., L. El Ghaoui, E. Feron and V. Balakrishnan "Linear Matrix Inequalities in Systems and Control", SIAM, Philadelphia, PA, 1994
  • Skogestad, S. and I. Postlewhaite "Multivariable Feedback Control", John Wiley, Chichester, England, 1996
  • Strang, G. "Linear Algebra and its Applications", Harcourt Brace Jovanovic, Orlando, FA, 1988
  • Zhou, K. and J. Doyle "Essentials of Robust Control", Prentice Hall International, Upper Saddle River, NJ, 1998
Course L0659: Optimal and Robust Control
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer NN
Language EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1757: Practical module 2 (dual study program, Master's degree)

Courses
Title Typ Hrs/wk CP
Practical term 2 (dual study program, Master's degree) (L2888) 0 10
Module Responsible Dr. Henning Haschke
Admission Requirements None
Recommended Previous Knowledge
  • Successful completion of practical module 1 as part of the dual Master’s course
  • course D from the module on interlinking theory and practice as part of the dual Master’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 in engineering. 
  • … 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).
Personal Competence
Social Competence

Dual students …

  • … work responsibly in cross-departmental and interdisciplinary 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.
  • … reflect on learning and work processes in their area of responsibility.
  • … reflect on the relevance of subject modules specialisations and specialisation for work as an engineer, and also implement the university’s application recommendations and the associated challenges to positively transfer knowledge between theory and practice.
Workload in Hours Independent Study Time 300, Study Time in Lecture 0
Credit points 10
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 Civil Engineering: Core Qualification: Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Computer Science: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Compulsory
Energy Systems: Core Qualification: Compulsory
Environmental Engineering: Core Qualification: Compulsory
Aircraft Systems Engineering: Core Qualification: Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Information and Communication Systems: Core Qualification: Compulsory
International Management and Engineering: Core Qualification: Compulsory
Logistics, Infrastructure and Mobility: Core Qualification: Compulsory
Aeronautics: Core Qualification: Compulsory
Materials Science and Engineering: Core Qualification: Compulsory
Materials Science: Core Qualification: Compulsory
Mechanical Engineering and Management: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Biomedical Engineering: Core Qualification: Compulsory
Microelectronics and Microsystems: Core Qualification: Compulsory
Product Development, Materials and Production: Core Qualification: Compulsory
Renewable Energies: Core Qualification: Compulsory
Naval Architecture and Ocean Engineering: Core Qualification: Compulsory
Theoretical Mechanical Engineering: Core Qualification: Compulsory
Process Engineering: Core Qualification: Compulsory
Water and Environmental Engineering: Core Qualification: Compulsory
Course L2888: Practical term 2 (dual study program, Master's degree)
Typ
Hrs/wk 0
CP 10
Workload in Hours Independent Study Time 300, Study Time in Lecture 0
Lecturer Dr. Henning Haschke
Language DE
Cycle WiSe/SoSe
Content

Company onboarding process

  • Assigning a professional field of activity as an engineer (B.Sc.) and associated fields of work
  • Establishing responsibilities and authorisation of the dual student within the company as an engineer (B.Sc.)
  • Taking personal responsibility within a team and on selected projects - across departments and, if applicable, across companies
  • Scheduling the current practical module with a clear correlation to work structures 
  • Scheduling the examination phase/subsequent study semester

Operational knowledge and skills

  • Company-specific: Responsibility as an engineer (B.Sc.) in their own area of work, coordinating team and project work, dealing with complex contexts and unsolved problems, developing and implementing innovative solutions
  • Subject specialisation (corresponding to the chosen course [M.Sc.]) in the field of activity
  • Systemic skills
  • Implementing the university’s application recommendations (theory-practice transfer) in corresponding work and task areas across the company 

Sharing/reflecting on learning

  • Updating their e-portfolio
  • Importance of course contents (M.Sc.) when working as an engineer
  • Importance of development and innovation when working as an engineer 
Literature
  • Studierendenhandbuch
  • Betriebliche Dokumente
  • Hochschulseitige Anwendungsempfehlungen zum Theorie-Praxis-Transfer

Module M0714: Numerical Methods for Ordinary Differential Equations

Courses
Title Typ Hrs/wk CP
Numerical Treatment of Ordinary Differential Equations (L0576) Lecture 2 3
Numerical Treatment of Ordinary Differential Equations (L0582) Recitation Section (small) 2 3
Module Responsible Prof. Daniel Ruprecht
Admission Requirements None
Recommended Previous Knowledge
  • Mathematik I, II, III for Engineers (German or English) or Analysis & Linear Algebra I + II plus Analysis III for Technomathematiker.
  • Basic knowledge of MATLAB, Python or a similar programming language.
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to

  • name numerical methods for the solution of ordinary differential equations and explain their core ideas,
  • formulate convergence statements for the taught numerical methods (including the necessary assumptions about the solved problem),
  • explain aspects regarding the practical realisation of a method,
  • select the appropriate numerical method for specific problems, implement the numerical algorithms efficiently and interpret the numerical results.
Skills

Students are able to

  • implement, apply and compare numerical methods for the solution of ordinary differential equations,
  • explain the convergence behaviour of numerical methods, taking into consideration the solved problem and selected algorithm,
  • develop a suitable solution approach for a given problem, if necessary by combining multiple algorithms, realise this approach and critically evaluate results.

Personal Competence
Social Competence

Students are able to

  • work together in heterogeneous teams (i.e., teams from different study programs and with different 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 provided theoretical and practical excercises are better solved individually or in a team and
  • to assess their individual progress 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 min
Assignment for the Following Curricula Bioprocess Engineering: Specialisation A - General Bioprocess Engineering: Elective Compulsory
Chemical and Bioprocess Engineering: Specialisation Chemical Process Engineering: Elective Compulsory
Chemical and Bioprocess Engineering: Specialisation General Process Engineering: Elective Compulsory
Computer Science: Specialisation III. Mathematics: Elective Compulsory
Data Science: Specialisation I. Mathematics: Elective Compulsory
Data Science: Specialisation IV. Special Focus Area: Elective Compulsory
Electrical Engineering: Specialisation Control and Power Systems Engineering: Elective Compulsory
Energy Systems: Core Qualification: Elective Compulsory
Aircraft Systems Engineering: Core Qualification: Elective Compulsory
Interdisciplinary Mathematics: Specialisation II. Numerical - Modelling Training: Compulsory
Aeronautics: Core Qualification: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Technomathematics: Specialisation I. Mathematics: Elective Compulsory
Theoretical Mechanical Engineering: Core Qualification: Compulsory
Process Engineering: Specialisation Chemical Process Engineering: Elective Compulsory
Process Engineering: Specialisation Process Engineering: Elective Compulsory
Course L0576: Numerical Treatment of Ordinary Differential Equations
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Daniel Ruprecht
Language DE/EN
Cycle SoSe
Content

Numerical methods for Initial Value Problems

  • single step methods
  • multistep methods
  • stiff problems
  • differential algebraic equations (DAE) of index 1

Numerical methods for Boundary Value Problems

  • multiple shooting method
  • difference methods
Literature
  • E. Hairer, S. Noersett, G. Wanner: Solving Ordinary Differential Equations I: Nonstiff Problems.
  • E. Hairer, G. Wanner: Solving Ordinary Differential Equations II: Stiff and Differential-Algebraic Problems.
  • D. Griffiths, D. Higham: Numerical Methods for Ordinary Differential Equations.
Course L0582: Numerical Treatment of Ordinary Differential Equations
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Daniel Ruprecht
Language DE/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0838: Linear and Nonlinear System Identifikation

Courses
Title Typ Hrs/wk CP
Linear and Nonlinear System Identification (L0660) Lecture 2 3
Module Responsible Prof. Herbert Werner
Admission Requirements None
Recommended Previous Knowledge
  • Classical control (frequency response, root locus)
  • State space methods
  • Discrete-time systems
  • Linear algebra, singular value decomposition
  • Basic knowledge about stochastic processes
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students can explain the general framework of the prediction error method and its application to a variety of linear and nonlinear model structures
  • They can explain how multilayer perceptron networks are used to model nonlinear dynamics
  • They can explain how an approximate predictive control scheme can be based on neural network models
  • They can explain the idea of subspace identification and its relation to Kalman realisation theory
Skills
  • Students are capable of applying the predicition error method to the experimental identification of linear and nonlinear models for dynamic systems
  • They are capable of implementing a nonlinear predictive control scheme based on a neural network model
  • They are capable of applying subspace algorithms to the experimental identification of linear models for dynamic systems
  • They can do the above using standard software tools (including the Matlab System Identification Toolbox)
Personal Competence
Social Competence

Students can work in mixed groups on specific problems to arrive at joint solutions. 

Autonomy

Students are able to find required information in sources provided (lecture notes, literature, software documentation) and use it to solve given problems. 

Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Credit points 3
Course achievement None
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula Electrical Engineering: Specialisation Control and Power Systems Engineering: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Theoretical Mechanical Engineering: Core Qualification: Elective Compulsory
Course L0660: Linear and Nonlinear System Identification
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Herbert Werner
Language EN
Cycle SoSe
Content
  • Prediction error method
  • Linear and nonlinear model structures
  • Nonlinear model structure based on multilayer perceptron network
  • Approximate predictive control based on multilayer perceptron network model
  • Subspace identification
Literature
  • Lennart Ljung, System Identification - Theory for the User, Prentice Hall 1999
  • M. Norgaard, O. Ravn, N.K. Poulsen and L.K. Hansen, Neural Networks for Modeling and Control of Dynamic Systems, Springer Verlag, London 2003
  • T. Kailath, A.H. Sayed and B. Hassibi, Linear Estimation, Prentice Hall 2000

Module M1181: Research Project Theoretical Mechanical Engineering

Courses
Title Typ Hrs/wk CP
Module Responsible Dozenten des SD M
Admission Requirements None
Recommended Previous Knowledge
  • Finite-element-methods
  • Control systems theory and design
  • Applied dynamics
  • Numerics of ordinary differential equations
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students are able to demonstrate their detailed knowledge in the field of theoretical mechanical engineering. They can exemplify the state of technology and application and discuss critically in the context of actual problems and general conditions of science and society.

The students can develop solving strategies and approaches for fundamental and practical problems in theoretical mechanical engineering. They may apply theory based procedures and integrate safety-related, ecological, ethical, and economic view points of science and society.

Scientific work techniques that are used can be described and critically reviewed.


Skills

The students are able to independently select methods for the project work and to justify this choice. They can explain how these methods relate to the field of work and how the context of application has to be adjusted. General findings and further developments may essentially be outlined.

Personal Competence
Social Competence

The students are able to condense the relevance and the structure of the project work, the work steps and the sub-problems for the presentation and discussion in front of a bigger group. They can lead the discussion and give a feedback on the project to their colleagues.

Autonomy

The students are capable of independently planning and documenting the work steps and procedures while considering the given deadlines. This includes the ability to accurately procure the newest scientific information. Furthermore, they can obtain feedback from experts with regard to the progress of the work, and to accomplish results on the state of the art in science and technology.

Workload in Hours Independent Study Time 360, Study Time in Lecture 0
Credit points 12
Course achievement None
Examination Study work
Examination duration and scale according to FSPO
Assignment for the Following Curricula Theoretical Mechanical Engineering: Core Qualification: Compulsory

Module M1614: Optics for Engineers

Courses
Title Typ Hrs/wk CP
Optics for Engineers (L2437) Lecture 3 3
Optics for Engineers (L2438) Project-/problem-based Learning 3 3
Module Responsible Prof. Thorsten Kern
Admission Requirements None
Recommended Previous Knowledge - Basics of physics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Teaching subject ist the design of simple optical systems for illumination and imaging optics

  • Basic values for optical systems and lighting technology
  • Spectrum, black-bodies, color-perception
  • Light-Sources und their characterization
  • Photometrics
  • Ray-Optics
  • Matrix-Optics
  • Stops, Pupils and Windows
  • Light-field Technology
  • Introduction to Wave-Optics
  • Introduction to Holography
Skills

Understandings of optics as part of light and electromagnetic spectrum. Design rules, approach to designing optics

Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes None Subject theoretical and practical work Teilnahme an Laborübungen und Simulation
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula Electrical Engineering: Specialisation Microwave Engineering, Optics, and Electromagnetic Compatibility: Elective Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Mechatronics: Specialisation System Design: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Core Qualification: Elective Compulsory
Course L2437: Optics for Engineers
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Thorsten Kern
Language EN
Cycle WiSe
Content
  • Basic values for optical systems and lighting technology
  • Spectrum, black-bodies, color-perception
  • Light-Sources und their characterization
  • Photometrics
  • Ray-Optics
  • Matrix-Optics
  • Stops, Pupils and Windows
  • Light-field Technology
  • Introduction to Wave-Optics
  • Introduction to Holography
Literature  
Course L2438: Optics for Engineers
Typ Project-/problem-based Learning
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Thorsten Kern
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1398: Selected Topics in Multibody Dynamics and Robotics

Courses
Title Typ Hrs/wk CP
Formulas and Vehicles - Dynamics and Control of Autonomous Vehicles (L2869) Integrated Lecture 1 1
Formulas and Vehicles - Introduction into Mobile Underwater Robotics (L1981) Project-/problem-based Learning 4 5
Module Responsible Prof. Robert Seifried
Admission Requirements None
Recommended Previous Knowledge

Mechanics IV, Applied Dynamics or Robotics

Numerical Treatment of Ordinary Differential Equations

Control Systems Theory and Design

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

After successful completion of the module students demonstrate deeper knowledge and understanding in selected application areas of multibody dynamics and robotics

Skills

Students are able

+ to think holistically

+ to independently, securly and critically analyze and optimize basic problems of the dynamics of rigid and flexible multibody systems

+ to describe dynamics problems mathematically

+ to implement dynamical problems on hardware

Personal Competence
Social Competence

Students are able to

+ solve problems in heterogeneous groups and to document the corresponding results and present them

Autonomy

Students are able to

+ assess their knowledge by means of exercises and projects.

+ acquaint themselves with the necessary knowledge to solve research oriented tasks.

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Presentation
Examination duration and scale TBA
Assignment for the Following Curricula Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Mechatronics: Specialisation System Design: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Core Qualification: Elective Compulsory
Course L2869: Formulas and Vehicles - Dynamics and Control of Autonomous Vehicles
Typ Integrated Lecture
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Robert Seifried, Daniel-André Dücker
Language DE
Cycle WiSe
Content
Literature
Course L1981: Formulas and Vehicles - Introduction into Mobile Underwater Robotics
Typ Project-/problem-based Learning
Hrs/wk 4
CP 5
Workload in Hours Independent Study Time 94, Study Time in Lecture 56
Lecturer Prof. Robert Seifried, Daniel-André Dücker
Language DE
Cycle WiSe
Content
Literature

Seifried, R.: Dynamics of underactuated multibody systems, Springer, 2014

Popp, K.; Schiehlen, W.: Ground vehicle dynamics, Springer, 2010

Module M1758: Practical module 3 (dual study program, Master's degree)

Courses
Title Typ Hrs/wk CP
Practical term 3 (dual study program, Master's degree) (L2889) 0 10
Module Responsible Dr. Henning Haschke
Admission Requirements None
Recommended Previous Knowledge
  • Successful completion of practical module 2 as part of the dual Master’s course
  • course E from the module on interlinking theory and practice as part of the dual Master’s course
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Dual students …

  • … combine their comprehensive and specialised engineering knowledge acquired from previous study contents with the strategy-oriented practical knowledge gained from their current field of work and area of responsibility. 
  • … have a critical understanding of the practical applications of their engineering subject, as well as related fields when implementing innovations.


Skills

Dual students …

  • … apply specialised and conceptual skills to solve complex, sometimes 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 to implement operational projects and assignments - even when facing frequently changing requirements and unpredictable changes (systemic skills).
  • … can use academic methods to develop new ideas and procedures for operational problems and issues, and to assess these with regard to their usability.
Personal Competence
Social Competence

Dual students …

  • … work responsibly in cross-departmental and interdisciplinary project teams and proactively deal with problems within their team. 
  • … can promote the professional development of others in a targeted manner.
  • … represent complex and interdisciplinary engineering viewpoints, facts, problems and solution approaches in discussions with internal and external stakeholders and develop these further together.
Autonomy

Dual students …

  • … reflect on learning and work processes in their area of responsibility.
  • … define goals for new application-oriented tasks, projects and innovation plans while reflecting on potential effects on the company and the public. 
  • … reflect on the relevance of areas of specialisation and research for work as an engineer, and also implement the university’s application recommendations and the associated challenges to positively transfer knowledge between theory and practice.
Workload in Hours Independent Study Time 300, Study Time in Lecture 0
Credit points 10
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 Civil Engineering: Core Qualification: Compulsory
Bioprocess Engineering: Core Qualification: Compulsory
Chemical and Bioprocess Engineering: Core Qualification: Compulsory
Computer Science: Core Qualification: Compulsory
Electrical Engineering: Core Qualification: Compulsory
Energy Systems: Core Qualification: Compulsory
Environmental Engineering: Core Qualification: Compulsory
Aircraft Systems Engineering: Core Qualification: Compulsory
Computer Science in Engineering: Core Qualification: Compulsory
Information and Communication Systems: Core Qualification: Compulsory
International Management and Engineering: Core Qualification: Compulsory
Logistics, Infrastructure and Mobility: Core Qualification: Compulsory
Aeronautics: Core Qualification: Compulsory
Materials Science and Engineering: Core Qualification: Compulsory
Materials Science: Core Qualification: Compulsory
Mechanical Engineering and Management: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Biomedical Engineering: Core Qualification: Compulsory
Microelectronics and Microsystems: Core Qualification: Compulsory
Product Development, Materials and Production: Core Qualification: Compulsory
Renewable Energies: Core Qualification: Compulsory
Naval Architecture and Ocean Engineering: Core Qualification: Compulsory
Theoretical Mechanical Engineering: Core Qualification: Compulsory
Process Engineering: Core Qualification: Compulsory
Water and Environmental Engineering: Core Qualification: Compulsory
Course L2889: Practical term 3 (dual study program, Master's degree)
Typ
Hrs/wk 0
CP 10
Workload in Hours Independent Study Time 300, Study Time in Lecture 0
Lecturer Dr. Henning Haschke
Language DE
Cycle WiSe/SoSe
Content

Company onboarding process

  • Assigning a future professional field of activity as an engineer (M.Sc.) and associated fields of work
  • Extending responsibilities and authorisation of the dual student within the company up to the intended first assignment after completing their studies 
  • Working responsibly in a team; project responsibility within own area - as well as across divisions and companies if necessary
  • Scheduling the final practical module with a clear correlation to work structures 
  • Internal agreement on a potential topic or innovation project for the Master’s dissertation
  • Planning the Master’s dissertation within the company in cooperation with TU Hamburg  
  • Scheduling the examination phase/subsequent study semester

Operational knowledge and skills

  • Company-specific: dealing with change, project and team development, responsibility as an engineer in their future field of work (M.Sc.), dealing with complex contexts, frequent and unpredictable changes, 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 study content and personal specialisation when working as an engineer
  • Relevance of research and innovation when working as an engineer
Literature
  • Studierendenhandbuch
  • betriebliche Dokumente
  • Hochschulseitige Anwendungsempfehlungen zum Theorie-Praxis-Transfer

Specialization Bio- and Medical Technology

The specialization „biotechnology and medical technology“ consists of modules for Intelligent Systems, Robotics and Navigation in medicine, supplemented by Endoprostheses and Materials and Regenerative Medicine, and completed by the modules Imaging Systems in medicine and Industrial Image Transformations in electives. Thus, the acquisition of knowledge and skills in engineering specific aspects of biotechnology and medical technology is at the heart of this specialization. In addition, subjects in the Technical Supplement Course for TMBMS (according FSPO) are freely selectable.

Module M1334: BIO II: Biomaterials

Courses
Title Typ Hrs/wk CP
Biomaterials (L0593) Lecture 2 3
Module Responsible Prof. Michael Morlock
Admission Requirements None
Recommended Previous Knowledge

Basic knowledge of orthopedic and surgical techniques is recommended.

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

The students can describe the materials of the human body and the materials being used in medical engineering, and their fields of use.

Skills

The students can explain the advantages and disadvantages of different kinds of biomaterials.

Personal Competence
Social Competence

The students are able to discuss issues related to materials being present or being used for replacements with student mates and the teachers.

Autonomy

The students are able to acquire information on their own. They can also judge the information with respect to its credibility.

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 International Management and Engineering: Specialisation II. Process Engineering and Biotechnology: Elective Compulsory
Materials Science: Specialisation Nano and Hybrid Materials: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Course L0593: Biomaterials
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Michael Morlock, Prof. Kaline Pagnan Furlan, Prof. Shan Shi
Language EN
Cycle WiSe
Content

Topics to be covered include:

1.    Introduction (Importance, nomenclature, relations)

2.    Biological materials

2.1  Basics (components, testing methods)

2.2  Bone (composition, development, properties, influencing factors)

2.3  Cartilage (composition, development, structure, properties, influencing factors)

2.4  Fluids (blood, synovial fluid)

3     Biological structures

3.1  Menisci of the knee joint

3.2  Intervertebral discs

3.3  Teeth

3.4  Ligaments

3.5  Tendons

3.6  Skin

3.7  Nervs

3.8  Muscles

4.    Replacement materials

4.1  Basics (history, requirements, norms)

4.2  Steel (alloys, properties, reaction of the body)

4.3  Titan (alloys, properties, reaction of the body)

4.4  Ceramics and glas (properties, reaction of the body)

4.5  Plastics (properties of PMMA, HDPE, PET, reaction of the body)

4.6  Natural replacement materials

Knowledge of composition, structure, properties, function and changes/adaptations of biological and technical materials (which are used for replacements in-vivo). Acquisition of basics for theses work in the area of biomechanics.


Literature

Hastings G and Ducheyne P.: Natural and living biomaterials. Boca Raton: CRC Press, 1984.

Williams D.: Definitions in biomaterials. Oxford: Elsevier, 1987.

Hastings G.: Mechanical properties of biomaterials: proceedings held at Keele University, September 1978. New York: Wiley, 1998.

Black J.: Orthopaedic biomaterials in research and practice. New York: Churchill Livingstone, 1988.

Park J.  Biomaterials: an introduction. New York: Plenum Press, 1980.

Wintermantel, E. und Ha, S.-W : Biokompatible Werkstoffe und Bauweisen. Berlin, Springer, 1996.


Module M1173: Applied Statistics

Courses
Title Typ Hrs/wk CP
Applied Statistics (L1584) Lecture 2 3
Applied Statistics (L1586) Project-/problem-based Learning 2 2
Applied Statistics (L1585) Recitation Section (small) 1 1
Module Responsible Prof. Michael Morlock
Admission Requirements None
Recommended Previous Knowledge

Basic knowledge of statistical methods

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge Students can explain the statistical methods and the conditions of their use.
Skills Students are able to use the statistics program to solve statistics problems and to interpret and depict the results
Personal Competence
Social Competence

Team Work, joined presentation of results

Autonomy

To understand and interpret the question and solve

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 minutes, 28 questions
Assignment for the Following Curricula Mechanical Engineering and Management: Specialisation Management: Elective Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Mechatronics: Specialisation System Design: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Biomedical Engineering: Core Qualification: Compulsory
Product Development, Materials and Production: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Course L1584: Applied Statistics
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/EN
Cycle WiSe
Content

The goal is to introduce students to the basic statistical methods and their application to simple problems. The topics include:

•          Chi square test

•          Simple regression and correlation

•          Multiple regression and correlation

•          One way analysis of variance

•          Two way analysis of variance

•          Discriminant analysis

•          Analysis of categorial data

•          Chossing the appropriate statistical method

•          Determining critical sample sizes

Literature

Applied Regression Analysis and Multivariable Methods, 3rd Edition, David G. Kleinbaum Emory University, Lawrence L. Kupper University of North Carolina at Chapel Hill, Keith E. Muller University of North Carolina at Chapel Hill, Azhar Nizam Emory University, Published by Duxbury Press, CB © 1998, ISBN/ISSN: 0-534-20910-6

Course L1586: Applied Statistics
Typ Project-/problem-based Learning
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Michael Morlock
Language DE/EN
Cycle WiSe
Content

The students receive a problem task, which they have to solve in small groups (n=5). They do have to collect their own data and work with them. The results have to be presented in an executive summary at the end of the course.

Literature

Selbst zu finden


Course L1585: Applied Statistics
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Michael Morlock
Language DE/EN
Cycle WiSe
Content

The different statistical tests are applied for the solution of realistic problems using actual data sets and the most common used commercial statistical software package (SPSS).

Literature

Student Solutions Manual for Kleinbaum/Kupper/Muller/Nizam's Applied Regression Analysis and Multivariable Methods, 3rd Edition, David G. Kleinbaum Emory University Lawrence L. Kupper University of North Carolina at Chapel Hill, Keith E. Muller University of North Carolina at Chapel Hill, Azhar Nizam Emory University, Published by Duxbury Press, Paperbound © 1998, ISBN/ISSN: 0-534-20913-0


Module M0548: Bioelectromagnetics: Principles and Applications

Courses
Title Typ Hrs/wk CP
Bioelectromagnetics: Principles and Applications (L0371) Lecture 3 5
Bioelectromagnetics: Principles and Applications (L0373) Recitation Section (small) 2 1
Module Responsible Prof. Christian Schuster
Admission Requirements None
Recommended Previous Knowledge

Basic principles of physics


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

Students can explain the basic principles, relationships, and methods of bioelectromagnetics, i.e. the quantification and application of electromagnetic fields in biological tissue. They can define and exemplify the most important physical phenomena and order them corresponding to wavelength and frequency of the fields. They can give an overview over measurement and numerical techniques for characterization of electromagnetic fields in practical applications . They can give examples for therapeutic and diagnostic utilization of electromagnetic fields in medical technology.


Skills

Students know how to apply various methods to characterize the behavior of electromagnetic fields in biological tissue.  In order to do this they can relate to and make use of the elementary solutions of Maxwell’s Equations. They are able to assess the most important effects that these models predict for biological tissue, they can order the effects corresponding to wavelength and frequency, respectively, and they can analyze them in a quantitative way. They are able to develop validation strategies for their predictions. They are able to evaluate the effects of electromagnetic fields for therapeutic and diagnostic applications and make an appropriate choice.


Personal Competence
Social Competence

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


Autonomy

Students are capable to gather information from subject related, professional publications and relate that information to the context of the lecture. They are able to make a connection between their knowledge obtained in this lecture with the content of other lectures (e.g. theory of electromagnetic fields, fundamentals of electrical engineering / physics). They can communicate problems and effects in the field of bioelectromagnetics in English.


Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes None Presentation
Examination Oral exam
Examination duration and scale 45 min
Assignment for the Following Curricula Electrical Engineering: Specialisation Microwave Engineering, Optics, and Electromagnetic Compatibility: Elective Compulsory
Electrical Engineering: Specialisation Medical Technology: Elective Compulsory
Electrical Engineering: Specialisation Wireless and Sensor Technologies: Elective Compulsory
Computer Science in Engineering: Specialisation II. Engineering Science: Elective Compulsory
International Management and Engineering: Specialisation II. Electrical Engineering: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Course L0371: Bioelectromagnetics: Principles and Applications
Typ Lecture
Hrs/wk 3
CP 5
Workload in Hours Independent Study Time 108, Study Time in Lecture 42
Lecturer Prof. Christian Schuster
Language DE/EN
Cycle WiSe
Content

- Fundamental properties of electromagnetic fields (phenomena)

- Mathematical description of electromagnetic fields (Maxwell’s Equations)

- Electromagnetic properties of biological tissue

- Principles of energy absorption in biological tissue, dosimetry

- Numerical methods for the computation of electromagnetic fields (especially FDTD)

- Measurement techniques for characterization of electromagnetic fields

- Behavior of electromagnetic fields of low frequency in biological tissue

- Behavior of electromagnetic fields of medium frequency in biological tissue

- Behavior of electromagnetic fields of high frequency in biological tissue

- Behavior of electromagnetic fields of very high frequency in biological tissue

- Diagnostic applications of electromagnetic fields in medical technology

- Therapeutic applications of electromagnetic fields in medical technology

- The human body as a generator of electromagnetic fields


Literature

- C. Furse, D. Christensen, C. Durney, "Basic Introduction to Bioelectromagnetics", CRC (2009)

- A. Vorst, A. Rosen, Y. Kotsuka, "RF/Microwave Interaction with Biological Tissues", Wiley (2006)

- S. Grimnes, O. Martinsen, "Bioelectricity and Bioimpedance Basics", Academic Press (2008)

- F. Barnes, B. Greenebaum, "Bioengineering and Biophysical Aspects of Electromagnetic Fields", CRC (2006)


Course L0373: Bioelectromagnetics: Principles and Applications
Typ Recitation Section (small)
Hrs/wk 2
CP 1
Workload in Hours Independent Study Time 2, Study Time in Lecture 28
Lecturer Prof. Christian Schuster
Language DE/EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1151: Materials Modeling

Courses
Title Typ Hrs/wk CP
Material Modeling (L1535) Lecture 2 3
Material Modeling (L1536) Recitation Section (small) 2 3
Module Responsible Prof. Christian Cyron
Admission Requirements None
Recommended Previous Knowledge

Basics of mechanics as taught, e.g., in the modules Engineering Mechanics I and Engineering Mechanics II at TUHH (forces and moments, stress, linear strain, free-body principle, linear-elastic constitutive laws, strain energy); basics of mathematics as taught, e.g., in the modules Mathematics I and Mathematics II at TUHH

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge The students understand the theoretical foundations of anisotropic elasticity, viscoelasticity and elasto-plasticity in the realm of three-dimensional (linear) continuum mechanics. In the area of anisotropic elasticity, they know the concept of material symmetry and its application in orthotropic, transversely isotropic and isotropic materials. They understand the concept of stiffness and compliance and how both can be characterized by appropriate parameters. Moreover, the students understand viscoelasticity both in the time and frequency domain using the concepts of relaxation modulus, creep modulus, storage modulus and loss modulus. In the area of elasto-plasticity, the students know the concept of yield stress or (in higher dimensions) yield surface and of plastic potential. Additionally, the know the concepts of ideal plasticity, hardening and weakening. Moreover, they know von-Mises plasticity as a specific model of elasto-plasticity. 
Skills The students can independently identify and solve problems in the area of materials modeling and acquire the knowledge to do so. This holds in particular for the area fo anisotropically elastic, viscoelastic and elasto-plastic material behavior. In these areas, the students can independently develop models for complex material behavior. To this end, they have the ability to read and understand relevant literature and identify the relevant results reported there. Moreover, they can implement models which they developed or found in the literature in computational software (e.g., based on the finite element method) and use it for practical calculations.
Personal Competence
Social Competence

The students are able to develop constitutive models for materials and present them to specialists. Moreover, they have the ability to discuss challenging problems of materials modeling with experts using the proper terminoloy, to identify and ask critical questions in such discussions and to identify and discuss potential caveats in models presented to them.


Autonomy

The students have the ability to independently develop abstract models that allow them to classify observed phenomena within an more general abstract framework and to predict their further evolution. Moreover, the students understand the advantages but also limitations of mathematical models and can thus independently decide when and to which extent they make sense as a basis for decisions.



Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 60 min
Assignment for the Following Curricula Materials Science: Specialisation Modeling: Elective Compulsory
Mechanical Engineering and Management: Specialisation Materials: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Product Development, Materials and Production: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Course L1535: Material Modeling
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Christian Cyron
Language DE
Cycle WiSe
Content

One of the most important questions when modeling mechanical systems in practice is how to model the behavior of the materials of their different components. In addition to simple isotropic elasticity in particular the following phenomena play key roles

- anisotropy (material behavior depending on direction, e.g., in fiber-reinforced materials)
- plasticity (permanent deformation due to one-time overload, e.g., in metal forming)
- viscoelasticity (absorption of energy, e.g., in dampers)
- creep (slow deformation under permanent load, e.g., in pipes)

This lecture briefly introduces the theoretical foundations and mathematical modeling of the above phenomena. It is complemented by exercises where simple examples problems are solved by calculations and where the implementation of the content of the lecture in computer simulations is explained. It will also briefly discussed how important material parameters can be determined from experimental data.

Literature

Empfohlene Literatur / Recommended literature:
1) Dietmar Gross, Werner Hauger, Peter Wriggers, Technische Mechanik 4, Springer 2018, DOI: 10.1007/978-3-662-55694-8
2) Peter Haupt, Continuum Mechanics and Theory of Materials, Springer 2002, DOI: 10.1007/978-3-662-04775-0

Course L1536: Material Modeling
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Christian Cyron
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1302: Applied Humanoid Robotics

Courses
Title Typ Hrs/wk CP
Applied Humanoid Robotics (L1794) Project-/problem-based Learning 6 6
Module Responsible Patrick Göttsch
Admission Requirements None
Recommended Previous Knowledge
  • Object oriented programming; algorithms and data structures
  • Introduction to control systems
  • Control systems theory and design
  • Mechanics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students can explain humanoid robots.
  • Students can explain the basic concepts, relationships and methods of forward- and inverse kinematics
  • Students learn to apply basic control concepts for different tasks in humanoid robotics.
Skills
  • Students can implement models for humanoid robotic systems in Matlab and C++, and use these models for robot motion or other tasks.
  • They are capable of using models in Matlab for simulation and testing these models if necessary with C++ code on the real robot system.
  • They are capable of selecting methods for solving abstract problems, for which no standard methods are available, and apply it successfully.
Personal Competence
Social Competence
  • Students can develop joint solutions in mixed teams and present these.
  • They can provide appropriate feedback to others, and  constructively handle feedback on their own results
Autonomy
  • Students are able to obtain required information from provided literature sources, and to put in into the context of the lecture.
  • They can independently define tasks and apply the appropriate means to solve them.
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 5-10 pages
Assignment for the Following Curricula Computer Science: Specialisation II: Intelligence Engineering: Elective Compulsory
Data Science: Specialisation III. Applications: Elective Compulsory
Data Science: Specialisation IV. Special Focus Area: Elective Compulsory
Electrical Engineering: Specialisation Control and Power Systems Engineering: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Course L1794: Applied Humanoid Robotics
Typ Project-/problem-based Learning
Hrs/wk 6
CP 6
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Lecturer Patrick Göttsch
Language DE/EN
Cycle WiSe/SoSe
Content
  • Fundamentals of kinematics
  • Static and dynamic stability of humanoid robotic systems
  • Combination of different software environments (Matlab, C++, etc.)
  • Introduction to the necessary  software frameworks
  • Team project
  • Presentation and Demonstration of intermediate and final results
Literature
  • B. Siciliano, O. Khatib. "Handbook of Robotics. Part A: Robotics Foundations", Springer (2008)

Module M1335: BIO II: Artificial Joint Replacement

Courses
Title Typ Hrs/wk CP
Artificial Joint Replacement (L1306) Lecture 2 3
Module Responsible Prof. Michael Morlock
Admission Requirements None
Recommended Previous Knowledge

Basic knowledge of orthopedic and surgical techniques and mechanical basics is recommended.

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

Students are able to explain the diseases and injuries that can make joint replacement necessary. In addition, students know the surgical alternatives.

Skills

The students can explain the advantages and disadvantages of different kinds of endoprotheses.

Personal Competence
Social Competence

The students are able to discuss issues related to endoprothese with student mates and the teachers.

Autonomy

The students are able to acquire information on their own. They can also judge the information with respect to its credibility.

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 International Management and Engineering: Specialisation II. Process Engineering and Biotechnology: Elective Compulsory
Materials Science: Specialisation Nano and Hybrid Materials: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Orientation Studies: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Course L1306: Artificial Joint Replacement
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Michael Morlock
Language DE
Cycle SoSe
Content

Contents

1. INTRODUCTION (meaning, aim, basics, general history of the artificial joint replacement)

2. FUNCTIONAL ANALYSIS (The human gait, human work, sports activity)

3. THE HIP JOINT (anatomy, biomechanics, joint replacement of the shaft side and the socket side, evolution of implants)

4. THE KNEE JOINT (anatomy, biomechanics, ligament replacement, joint replacement femoral, tibial and patellar components)

5. THE FOOT (anatomy, biomechanics, joint replacement, orthopedic procedures)

6. THE SHOULDER (anatomy, biomechanics, joint replacement)

7. THE ELBOW (anatomy, biomechanics, joint replacement)

8. THE HAND (anatomy, biomechanics, joint replacement)

9. TRIBOLOGY OF NATURAL AND ARTIFICIAL JOINTS (corrosion, friction, wear)

Literature

Kapandji, I..: Funktionelle Anatomie der Gelenke (Band 1-4), Enke Verlag, Stuttgart, 1984.

Nigg, B., Herzog, W.: Biomechanics of the musculo-skeletal system, John Wiley&Sons, New York 1994

Nordin, M., Frankel, V.: Basic Biomechanics of the Musculoskeletal System, Lea&Febiger, Philadelphia, 1989.

Czichos, H.: Tribologiehandbuch, Vieweg, Wiesbaden, 2003.

Sobotta und Netter für Anatomie der Gelenke

Module M0630: Robotics and Navigation in Medicine

Courses
Title Typ Hrs/wk CP
Robotics and Navigation in Medicine (L0335) Lecture 2 3
Robotics and Navigation in Medicine (L0338) Project Seminar 2 2
Robotics and Navigation in Medicine (L0336) Recitation Section (small) 1 1
Module Responsible Prof. Alexander Schlaefer
Admission Requirements None
Recommended Previous Knowledge
  • principles of math (algebra, analysis/calculus)
  • principles of programming, e.g., in Java or C++
  • solid R or Matlab skills
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students can explain kinematics and tracking systems in clinical contexts and illustrate systems and their components in detail. Systems can be evaluated with respect to collision detection and  safety and regulations. Students can assess typical systems regarding design and  limitations.

Skills

The students are able to design and evaluate navigation systems and robotic systems for medical applications.


Personal Competence
Social Competence

The students are able to grasp practical tasks in groups, develop solution strategies independently, define work processes and work on them collaboratively.
The students are able to collaboratively organize their work processes and software solutions using virtual communication and software management tools.
The students can critically reflect on the results of other groups, make constructive suggestions for improvement, and also incorporate them into their own work.


Autonomy

The students can assess their level of knowledge and independently control their learning processes on this basis as well as document their work results. They can critically evaluate the results achieved and present them in an appropriate argumentative manner to the other groups.



Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes 10 % Presentation
Yes 10 % Written elaboration
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula Computer Science: Specialisation II: Intelligence Engineering: Elective Compulsory
Data Science: Specialisation III. Applications: Elective Compulsory
Data Science: Specialisation IV. Special Focus Area: Elective Compulsory
Electrical Engineering: Specialisation Medical Technology: Elective Compulsory
Computer Science in Engineering: Specialisation II. Engineering Science: Elective Compulsory
International Management and Engineering: Specialisation II. Electrical Engineering: Elective Compulsory
International Management and Engineering: Specialisation II. Process Engineering and Biotechnology: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Course L0335: Robotics and Navigation in Medicine
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Alexander Schlaefer
Language EN
Cycle SoSe
Content

- kinematics
- calibration
- tracking systems
- navigation and image guidance
- motion compensation
The seminar extends and complements the contents of the lecture with respect to recent research results.


Literature

Spong et al.: Robot Modeling and Control, 2005
Troccaz: Medical Robotics, 2012
Further literature will be given in the lecture.

Course L0338: Robotics and Navigation in Medicine
Typ Project Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Alexander Schlaefer
Language EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L0336: Robotics and Navigation in Medicine
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Alexander Schlaefer
Language EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0811: Medical Imaging Systems

Courses
Title Typ Hrs/wk CP
Medical Imaging Systems (L0819) Lecture 4 6
Module Responsible Dr. Michael Grass
Admission Requirements None
Recommended Previous Knowledge none
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can:

  • Describe the system configuration and components of the main clinical imaging systems;
  • Explain how the system components and the overall system of the imaging systems function;
  • Explain and apply the physical processes that make imaging possible and use with the fundamental physical equations; 
  • Name and describe the physical effects required to generate image contrasts; 
  • Explain how spatial and temporal resolution can be influenced and how to characterize the images generated;
  • Explain which image reconstruction methods are used to generate images;

Describe and explain the main clinical uses of the different systems.

Skills

Students are able to: 

  • Explain the physical processes of images and assign to the systems the basic mathematical or physical equations required;
    • Calculate the parameters of imaging systems using the mathematical or physical equations;
    • Determine the influence of different system components on the spatial and temporal resolution of imaging systems;
    • Explain the importance of different imaging systems for a number of clinical applications;

Select a suitable imaging system for an application.

Personal Competence
Social Competence none
Autonomy

Students can:

  • Understand which physical effects are used in medical imaging;
  • Decide independently for which clinical issue a measuring system can be used.
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 Electrical Engineering: Specialisation Medical Technology: Elective Compulsory
Biomedical Engineering: Core Qualification: Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Course L0819: Medical Imaging Systems
Typ Lecture
Hrs/wk 4
CP 6
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Lecturer Dr. Michael Grass, Dr. Michael Helle, Dr. Sven Prevrhal, Frank Michael Weber
Language DE
Cycle SoSe
Content
Literature

Primary book:

1. P. Suetens, "Fundamentals of Medical Imaging", Cambridge Press

Secondary books:

- A. Webb, "Introduction to Biomedical Imaging", IEEE Press 2003.

- W.R. Hendee and E.R. Ritenour, "Medical Imaging Physics", Wiley-Liss, New York, 2002.

- H. Morneburg (Edt), "Bildgebende Systeme für die medizinische Diagnostik", Erlangen: Siemens Publicis MCD Verlag, 1995.

- O. Dössel, "Bildgebende Verfahren in der Medizin", Springer Verlag Berlin, 2000.

Module M1182: Technical Elective Course for TMBMS (according to Subject Specific Regulations)

Courses
Title Typ Hrs/wk CP
Module Responsible Prof. Robert Seifried
Admission Requirements None
Recommended Previous Knowledge see FSPO
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge see FSPO
Skills see FSPO
Personal Competence
Social Competence see FSPO
Autonomy see FSPO
Workload in Hours Depends on choice of courses
Credit points 6
Assignment for the Following Curricula Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory

Module M1249: Medical Imaging

Courses
Title Typ Hrs/wk CP
Medical Imaging (L1694) Lecture 2 3
Medical Imaging (L1695) Recitation Section (small) 2 3
Module Responsible Prof. Tobias Knopp
Admission Requirements None
Recommended Previous Knowledge Basic knowledge in linear algebra, numerics, and signal processing
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

After successful completion of the module, students are able to describe reconstruction methods for different tomographic imaging modalities such as computed tomography and magnetic resonance imaging. They know the necessary basics from the fields of signal processing and inverse problems and are familiar with both analytical and iterative image reconstruction methods. The students have a deepened knowledge of the imaging operators of computed tomography and magnetic resonance imaging.

Skills

The students are able to implement reconstruction methods and test them using tomographic measurement data. They can visualize the reconstructed images and evaluate the quality of their data and results. In addition, students can estimate the temporal complexity of imaging algorithms.

Personal Competence
Social Competence

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

Autonomy

Students are able to independently investigate a complex problem and assess which competencies are required to solve it. 

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula Computer Science: Specialisation II: Intelligence Engineering: Elective Compulsory
Data Science: Specialisation III. Applications: Elective Compulsory
Data Science: Specialisation IV. Special Focus Area: Elective Compulsory
Electrical Engineering: Specialisation Medical Technology: Elective Compulsory
Computer Science in Engineering: Specialisation I. Computer Science: Elective Compulsory
Interdisciplinary Mathematics: Specialisation Computational Methods in Biomedical Imaging: Compulsory
Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory
Technomathematics: Specialisation II. Informatics: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Course L1694: Medical Imaging
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Tobias Knopp
Language DE/EN
Cycle WiSe
Content
  • Overview about different imaging methods
  • Signal processing
  • Inverse problems
  • Computed tomography
  • Magnetic resonance imaging
  • Compressed Sensing
  • Magnetic particle imaging

Literature

Bildgebende Verfahren in der Medizin; O. Dössel; Springer, Berlin, 2000

Bildgebende Systeme für die medizinische Diagnostik; H. Morneburg (Hrsg.); Publicis MCD, München, 1995

Introduction to the Mathematics of Medical Imaging; C. L.Epstein; Siam, Philadelphia, 2008

Medical Image Processing, Reconstruction and Restoration; J. Jan; Taylor and Francis, Boca Raton, 2006

Principles of Magnetic Resonance Imaging; Z.-P. Liang and P. C. Lauterbur; IEEE Press, New York, 1999

Course L1695: Medical Imaging
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Tobias Knopp
Language DE/EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0746: Microsystem Engineering

Courses
Title Typ Hrs/wk CP
Microsystem Engineering (L0680) Lecture 2 4
Microsystem Engineering (L0682) Project-/problem-based Learning 2 2
Module Responsible Dr. Timo Lipka
Admission Requirements None
Recommended Previous Knowledge Basic courses in physics, mathematics and electric engineering
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students know about the most important technologies and materials of MEMS as well as their applications in sensors and actuators.

Skills

Students are able to analyze and describe the functional behaviour of MEMS components and to evaluate the potential of microsystems.

Personal Competence
Social Competence

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

Autonomy

Students are able to acquire particular knowledge using specialized literature and to integrate and associate this knowledge with other fields.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 10 % Presentation
Examination Written exam
Examination duration and scale 2h
Assignment for the Following Curricula Electrical Engineering: Core Qualification: Compulsory
International Management and Engineering: Specialisation II. Electrical Engineering: Elective Compulsory
International Management and Engineering: Specialisation II. Mechatronics: Elective Compulsory
Mechanical Engineering and Management: Specialisation Mechatronics: Elective Compulsory
Mechatronics: Specialisation System Design: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Microelectronics and Microsystems: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Course L0680: Microsystem Engineering
Typ Lecture
Hrs/wk 2
CP 4
Workload in Hours Independent Study Time 92, Study Time in Lecture 28
Lecturer Dr. Timo Lipka
Language EN
Cycle WiSe
Content

Object and goal of MEMS

Scaling Rules

Lithography

Film deposition

Structuring and etching

Energy conversion and force generation

Electromagnetic Actuators

Reluctance motors

Piezoelectric actuators, bi-metal-actuator

Transducer principles

Signal detection and signal processing

Mechanical and physical sensors

Acceleration sensor, pressure sensor

Sensor arrays

System integration

Yield, test and reliability

Literature

M. Kasper: Mikrosystementwurf, Springer (2000)

M. Madou: Fundamentals of Microfabrication, CRC Press (1997)

Course L0682: Microsystem Engineering
Typ Project-/problem-based Learning
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Dr. Timo Lipka
Language EN
Cycle WiSe
Content

Examples of MEMS components

Layout consideration

Electric, thermal and mechanical behaviour

Design aspects

Literature

Wird in der Veranstaltung bekannt gegeben

Module M0623: Intelligent Systems in Medicine

Courses
Title Typ Hrs/wk CP
Intelligent Systems in Medicine (L0331) Lecture 2 3
Intelligent Systems in Medicine (L0334) Project Seminar 2 2
Intelligent Systems in Medicine (L0333) Recitation Section (small) 1 1
Module Responsible Prof. Alexander Schlaefer
Admission Requirements None
Recommended Previous Knowledge
  • principles of math (algebra, analysis/calculus)
  • principles of stochastics
  • principles of programming, Java/C++ and R/Matlab
  • advanced programming skills
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students are able to analyze and solve clinical treatment planning and decision support problems using methods for search, optimization, and planning. They are able to explain methods for classification and their respective advantages and disadvantages in clinical contexts. The students can compare  different methods for representing medical knowledge. They can evaluate methods in the context of clinical data  and explain challenges due to the clinical nature of the data and its acquisition and due to privacy and safety requirements.

Skills

The students can give reasons for selecting and adapting methods for classification, regression, and prediction. They can assess the methods based on actual patient data and evaluate the implemented methods.

Personal Competence
Social Competence

The students are able to grasp practical tasks in groups, develop solution strategies independently, define work processes and work on them collaboratively.
The students can critically reflect on the results of other groups, make constructive suggestions for improvement and also incorporate them into their own work.


Autonomy

The students can assess their level of knowledge and document their work results. They can critically evaluate the results achieved and present them in an appropriate argumentative manner to the other groups.


Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes 10 % Written elaboration
Yes 10 % Presentation
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula Computer Science: Specialisation II: Intelligence Engineering: Elective Compulsory
Data Science: Specialisation III. Applications: Elective Compulsory
Data Science: Specialisation IV. Special Focus Area: Elective Compulsory
Electrical Engineering: Specialisation Medical Technology: Elective Compulsory
Interdisciplinary Mathematics: Specialisation Computational Methods in Biomedical Imaging: Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Course L0331: Intelligent Systems in Medicine
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Alexander Schlaefer
Language EN
Cycle WiSe
Content

- methods for search, optimization,  planning,  classification, regression and prediction in a clinical context
- representation of medical knowledge
- understanding challenges due to clinical and patient related data and data acquisition
The students will work in groups to apply the methods introduced during the lecture using problem based learning.


Literature

Russel & Norvig: Artificial Intelligence: a Modern Approach, 2012
Berner: Clinical Decision Support Systems: Theory and Practice, 2007
Greenes: Clinical Decision Support: The Road Ahead, 2007
Further literature will be given in the lecture


Course L0334: Intelligent Systems in Medicine
Typ Project Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Alexander Schlaefer
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L0333: Intelligent Systems in Medicine
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Alexander Schlaefer
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Specialization Energy Systems

The focus of the specialization „energy technology“ lies on the acquisition of knowledge and skills on an economically and ecologically sensible provision of electricity, heating and coooling on the basis of conventional and renewable energy systems. This is made possible by modules in the areas of fluid mechanics and ocean energy, solar energy, electric energy, heating technology, air conditioners, power plants, steam and Cogeneration and combustion technology electives. In addition, subjects in the Technical Supplement Course for TMBMS (according FSPO) are freely selectable.

Module M1235: Electrical Power Systems I: Introduction to Electrical Power Systems

Courses
Title Typ Hrs/wk CP
Electrical Power Systems I: Introduction to Electrical Power Systems (L1670) Lecture 3 4
Electrical Power Systems I: Introduction to Electrical Power Systems (L1671) Recitation Section (small) 2 2
Module Responsible Prof. Christian Becker
Admission Requirements None
Recommended Previous Knowledge

Fundamentals of Electrical Engineering

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

Students are able to give an overview of conventional and modern electric power systems.  They can explain in detail and critically evaluate technologies of electric power generation, transmission, storage, and distribution as well as integration of equipment into electric power systems.

Skills

With completion of this module the students are able to apply the acquired skills in applications of the design, integration, development of electric power systems and to assess the results.

Personal Competence
Social Competence

The students can participate in specialized and interdisciplinary discussions, advance ideas and represent their own work results in front of others.

Autonomy

Students can independently tap knowledge of the emphasis of the lectures. 

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 - 150 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Renewable Energy: Elective Compulsory
Data Science: Core Qualification: Elective Compulsory
Electrical Engineering: Core Qualification: Elective Compulsory
Energy Systems: Specialisation Energy Systems: Elective Compulsory
Engineering Science: Specialisation Electrical Engineering: Elective Compulsory
Green Technologies: Energy, Water, Climate: Specialisation Energy Systems / Renewable Energies: Elective Compulsory
Computer Science in Engineering: Specialisation II. Mathematics & Engineering Science: Elective Compulsory
Integrated Building Technology: Core Qualification: Compulsory
Mechatronics: Specialisation Electrical Systems: Elective Compulsory
Renewable Energies: Core Qualification: Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Course L1670: Electrical Power Systems I: Introduction to Electrical Power Systems
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Christian Becker
Language DE
Cycle WiSe
Content
  • fundamentals and current development trends in electric power engineering 
  • tasks and history of electric power systems
  • symmetric three-phase systems
  • fundamentals and modelling of eletric power systems 
    • lines
    • transformers
    • synchronous machines
    • induction machines
    • loads and compensation
    • grid structures and substations 
  • fundamentals of energy conversion
    • electro-mechanical energy conversion
    • thermodynamics
    • power station technology
    • renewable energy conversion systems
  • steady-state network calculation
    • network modelling
    • load flow calculation
    • (n-1)-criterion
  • symmetric failure calculations, short-circuit power
  • control in networks and power stations
  • grid protection
  • grid planning
  • power economy fundamentals
Literature

K. Heuck, K.-D. Dettmann, D. Schulz: "Elektrische Energieversorgung", Vieweg + Teubner, 9. Auflage, 2013

A. J. Schwab: "Elektroenergiesysteme", Springer, 5. Auflage, 2017

R. Flosdorff: "Elektrische Energieverteilung" Vieweg + Teubner, 9. Auflage, 2008

Course L1671: Electrical Power Systems I: Introduction to Electrical Power Systems
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Christian Becker
Language DE
Cycle WiSe
Content
  • fundamentals and current development trends in electric power engineering 
  • tasks and history of electric power systems
  • symmetric three-phase systems
  • fundamentals and modelling of eletric power systems 
    • lines
    • transformers
    • synchronous machines
    • induction machines
    • loads and compensation
    • grid structures and substations 
  • fundamentals of energy conversion
    • electro-mechanical energy conversion
    • thermodynamics
    • power station technology
    • renewable energy conversion systems
  • steady-state network calculation
    • network modelling
    • load flow calculation
    • (n-1)-criterion
  • symmetric failure calculations, short-circuit power
  • control in networks and power stations
  • grid protection
  • grid planning
  • power economy fundamentals
Literature

K. Heuck, K.-D. Dettmann, D. Schulz: "Elektrische Energieversorgung", Vieweg + Teubner, 9. Auflage, 2013

A. J. Schwab: "Elektroenergiesysteme", Springer, 5. Auflage, 2017

R. Flosdorff: "Elektrische Energieverteilung" Vieweg + Teubner, 9. Auflage, 2008

Module M0742: Thermal Energy Systems

Courses
Title Typ Hrs/wk CP
Thermal Engergy Systems (L0023) Lecture 3 5
Thermal Engergy Systems (L0024) Recitation Section (large) 1 1
Module Responsible Prof. Arne Speerforck
Admission Requirements None
Recommended Previous Knowledge Technical Thermodynamics I, II, Fluid Dynamics, Heat Transfer
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students know the different energy conversion stages and the difference between efficiency and annual efficiency. They have increased knowledge in heat and mass transfer, especially in regard to buildings and mobile applications. They are familiar with German energy saving code and other technical relevant rules. They know to differ different heating systems in the domestic and industrial area and how to control such heating systems. They are able to model a furnace and to calculate the transient temperatures in a furnace. They have the basic knowledge of emission formations in the flames of small burners  and how to conduct the flue gases into the atmosphere. They are able to model thermodynamic systems with object oriented languages.


Skills

Students are able to calculate the heating demand for different heating systems and to choose the suitable components. They are able to calculate a pipeline network and have the ability to perform simple planning tasks, regarding solar energy. They can write Modelica programs and can transfer research knowledge into practice. They are able to perform scientific work in the field of thermal engineering.


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

Students are able to define tasks independently, to develop the necessary knowledge themselves based on the knowledge they have received, and to use suitable means for implementation. In the exercises, the students discuss the methods taught in the lectures using complex tasks and critically analyze the 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 60 min
Assignment for the Following Curricula Bioprocess Engineering: Specialisation A - General Bioprocess Engineering: Elective Compulsory
Energy Systems: Specialisation Energy Systems: Compulsory
Energy Systems: Specialisation Marine Engineering: Elective Compulsory
International Management and Engineering: Specialisation II. Energy and Environmental Engineering: Elective Compulsory
Product Development, Materials and Production: Core Qualification: Elective Compulsory
Renewable Energies: Core Qualification: Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Process Engineering: Specialisation Process Engineering: Elective Compulsory
Course L0023: Thermal Engergy Systems
Typ Lecture
Hrs/wk 3
CP 5
Workload in Hours Independent Study Time 108, Study Time in Lecture 42
Lecturer Prof. Arne Speerforck
Language DE
Cycle WiSe
Content

1. Introduction

2. Fundamentals of Thermal Engineering 2.1 Heat Conduction 2.2 Convection 2.3 Radiation 2.4 Heat transition 2.5 Combustion parameters 2.6 Electrical heating 2.7 Water vapor transport

3. Heating Systems 3.1 Warm water heating systems 3.2 Warm water supply 3.3 piping calculation 3.4 boilers, heat pumps, solar collectors 3.5 Air heating systems 3.6 radiative heating systems

4. Thermal traetment systems 4.1 Industrial furnaces 4.2 Melting furnaces 4.3 Drying plants 4.4 Emission control 4.5 Chimney calculation 4.6 Energy measuring

5. Laws and standards 5.1 Buildings 5.2 Industrial plants

Literature
  • Schmitz, G.: Klimaanlagen, Skript zur Vorlesung
  • VDI Wärmeatlas, 11. Auflage, Springer Verlag, Düsseldorf 2013
  • Herwig, H.; Moschallski, A.: Wärmeübertragung, Vieweg+Teubner Verlag, Wiesbaden 2009
  • Recknagel, H.;  Sprenger, E.; Schrammek, E.-R.: Taschenbuch für Heizung- und Klimatechnik 2013/2014, 76. Auflage, Deutscher Industrieverlag, 2013
Course L0024: Thermal Engergy Systems
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

Module M0512: Use of Solar Energy

Courses
Title Typ Hrs/wk CP
Energy Meteorology (L0016) Lecture 1 1
Energy Meteorology (L0017) Recitation Section (small) 1 1
Collector Technology (L0018) Lecture 2 2
Solar Power Generation (L0015) Lecture 2 2
Module Responsible Prof. Martin Kaltschmitt
Admission Requirements None
Recommended Previous Knowledge none
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

With the completion of this module, students will be able to deal with technical foundations and current issues and problems in the field of solar energy and explain and evaulate these critically in consideration of the prior curriculum and current subject specific issues. In particular they can professionally describe the processes within a solar cell and explain the specific features of application of solar modules. Furthermore, they can provide an overview of the collector technology in solar thermal systems.

Skills

Students can apply the acquired theoretical foundations of exemplary energy systems using solar radiation. In this context, for example they can assess and evaluate potential and constraints of solar energy systems with respect to different geographical assumptions. They are able to dimension solar energy systems in consideration of technical aspects and given assumptions. Using module-comprehensive knowledge students can evalute the economic and ecologic conditions of these systems. They can select calculation methods within the radiation theory for these topics. 


Personal Competence
Social Competence

Students are able to discuss issues in the thematic fields in the renewable energy sector addressed within the module.

Autonomy

Students can independently exploit sources and acquire the particular knowledge about the subject area with respect to emphasis fo the lectures. Furthermore, with the assistance of lecturers, they can discrete use calculation methods for analysing and dimensioning solar energy systems. Based on this procedure they can concrete assess their specific learning level and can consequently define the further workflow. 

Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes 20 % Written elaboration Ausarbeitung Kollektortechnik
Examination Written exam
Examination duration and scale 180 min
Assignment for the Following Curricula Energy Systems: Specialisation Energy Systems: Elective Compulsory
International Management and Engineering: Specialisation II. Renewable Energy: Elective Compulsory
International Management and Engineering: Specialisation II. Energy and Environmental Engineering: Elective Compulsory
Renewable Energies: Core Qualification: Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Process Engineering: Specialisation Environmental Process Engineering: Elective Compulsory
Course L0016: Energy Meteorology
Typ Lecture
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dr. Volker Matthias, Dr. Beate Geyer
Language DE
Cycle SoSe
Content
  • Introduction: radiation source Sun, Astronomical Foundations, Fundamentals of radiation
  • Structure of the atmosphere
  • Properties and laws of radiation
    • Polarization
    • Radiation quantities 
    • Planck's radiation law
    • Wien's displacement law
    • Stefan-Boltzmann law
    • Kirchhoff's law
    • Brightness temperature
    • Absorption, reflection, transmission
  • Radiation balance, global radiation, energy balance
  • Atmospheric extinction
  • Mie and Rayleigh scattering
  • Radiative transfer
  • Optical effects in the atmosphere
  • Calculation of the sun and calculate radiation on inclined surfaces
Literature
  • Helmut Kraus: Die Atmosphäre der Erde
  • Hans Häckel: Meteorologie
  • Grant W. Petty: A First Course in Atmosheric Radiation
  • Martin Kaltschmitt, Wolfgang Streicher, Andreas Wiese: Renewable Energy
  • Alexander Löw, Volker Matthias: Skript Optik Strahlung Fernerkundung


Course L0017: Energy Meteorology
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dr. Beate Geyer
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L0018: Collector Technology
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Agis Papadopoulos
Language DE
Cycle SoSe
Content
  • Introduction: Energy demand and application of solar energy.
  • Heat transfer in the solar thermal energy: conduction, convection, radiation.
  • Collectors: Types, structure, efficiency, dimensioning, concentrated systems.
  • Energy storage: Requirements, types.
  • Passive solar energy: components and systems.
  • Solar thermal low temperature systems: collector variants, construction, calculation.
  • Solar thermal high temperature systems: Classification of solar power plants construction.
  • Solar air conditioning.
Literature
  • Vorlesungsskript.
  • Kaltschmitt, Streicher und Wiese (Hrsg.). Erneuerbare Energien: Systemtechnik, Wirtschaftlichkeit, Umweltaspekte, 5. Auflage, Springer, 2013.
  • Stieglitz und Heinzel .Thermische Solarenergie: Grundlagen, Technologie, Anwendungen. Springer, 2012.
  • Von Böckh und Wetzel. Wärmeübertragung: Grundlagen und Praxis, Springer, 2011.
  • Baehr und Stephan. Wärme- und Stoffübertragung. Springer, 2009.
  • de Vos. Thermodynamics of solar energy conversion. Wiley-VCH, 2008.
  • Mohr, Svoboda und Unger. Praxis solarthermischer Kraftwerke. Springer, 1999.


Course L0015: Solar Power Generation
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Martin Schlecht, Prof. Alf Mews, Roman Fritsches-Baguhl
Language DE
Cycle SoSe
Content

Photovoltaics:

  1. Introduction
  2. Primary energies and consumption, available solar energy
  3. Physics of the ideal solar cell
  4. Light absorption, PN transition, characteristic sizes of the solar cell, efficiency
  5. Physics of the real solar cell
  6. Charge carrier recombination, characteristic curves, barrier layer recombination, equivalent circuit diagram
  7. Increasing efficiency
  8. Methods for increasing the quantum yield and reducing recombination
  9. Hetero- and tandem structures
  10. Heterojunction, Schottky, electrochemical, MIS and SIS cell, tandem cell
  11. Concentrator cells
  12. Concentrator optics and tracking systems, concentrator cells
  13. Technology and properties: solar cell types, manufacturing, monocrystalline silicon and gallium arsenide, polycrystalline silicon and silicon thin film cells, thin film cells on carriers (amorphous silicon, CIS, electrochemical cells)
  14. Modules
  15. Switches

Concentrating solar power plants:

  1. Introduction
  2. Point focused technologies
  3. Line focused technologies
  4. Design of CSP projects
Literature
  • A. Götzberger, B. Voß, J. Knobloch: Sonnenenergie: Photovoltaik, Teubner Studienskripten, Stuttgart, 1995
  • A. Götzberger: Sonnenenergie: Photovoltaik : Physik und Technologie der Solarzelle, Teubner Stuttgart, 1994
  • H.-J. Lewerenz, H. Jungblut: Photovoltaik, Springer, Berlin, Heidelberg, New York, 1995
  • A. Götzberger: Photovoltaic solar energy generation, Springer, Berlin, 2005
  • C. Hu, R. M. White: Solar CelIs, Mc Graw HilI, New York, 1983
  • H.-G. Wagemann: Grundlagen der photovoltaischen Energiewandlung: Solarstrahlung, Halbleitereigenschaften und Solarzellenkonzepte, Teubner, Stuttgart, 1994
  • R. J. van Overstraeten, R.P. Mertens: Physics, technology and use of photovoltaics, Adam Hilger Ltd, Bristol and Boston, 1986
  • B. O. Seraphin: Solar energy conversion Topics of applied physics V 01 31, Springer, Berlin, Heidelberg, New York, 1995
  • P. Würfel: Physics of Solar cells, Principles and new concepts, Wiley-VCH, Weinheim 2005
  • U. Rindelhardt: Photovoltaische Stromversorgung, Teubner-Reihe Umwelt, Stuttgart 2001
  • V. Quaschning: Regenerative Energiesysteme, Hanser, München, 2003
  • G. Schmitz: Regenerative Energien, Ringvorlesung TU Hamburg-Harburg 1994/95, Institut für Energietechnik

Module M1182: Technical Elective Course for TMBMS (according to Subject Specific Regulations)

Courses
Title Typ Hrs/wk CP
Module Responsible Prof. Robert Seifried
Admission Requirements None
Recommended Previous Knowledge see FSPO
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge see FSPO
Skills see FSPO
Personal Competence
Social Competence see FSPO
Autonomy see FSPO
Workload in Hours Depends on choice of courses
Credit points 6
Assignment for the Following Curricula Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory

Module M1161: Turbomachinery

Courses
Title Typ Hrs/wk CP
Turbomachines (L1562) Lecture 3 4
Turbomachines (L1563) Recitation Section (large) 1 2
Module Responsible Prof. Markus Schatz
Admission Requirements None
Recommended Previous Knowledge

Technical Thermodynamics I, II, Fluid Dynamics, Heat Transfer

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

The students can

  • distinguish the physical phenomena of conversion of energy,
  • understand the different mathematic modelling of turbomachinery,
  • calculate and evaluate turbomachinery.
Skills

The students are able to

- understand the physics of Turbomachinery,

- solve excersises self-consistent.

Personal Competence
Social Competence

The students are able to

  • discuss in small groups and develop an approach.
Autonomy

The students are able to

  • develop a complex problem self-consistent,
  • analyse the results in a critical way,
  • have an qualified exchange with other students.
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 Energy Systems: Specialisation Energy Systems: Elective Compulsory
Energy Systems: Specialisation Marine Engineering: Elective Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Course L1562: Turbomachines
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Markus Schatz
Language DE
Cycle SoSe
Content

Topics to be covered will include:

  • Application cases of turbomachinery
  • Fundamentals of thermodynamics and fluid mechanics
  • Design fundamentals of turbomachinery
  • Introduction to the theory of turbine stage
  • Design and operation of the turbocompressor
  • Design and operation of the steam turbine
  • Design and operation of the gas turbine
  • Physical limits of the turbomachines


Literature
  • Traupel: Thermische Turbomaschinen, Springer. Berlin, Heidelberg, New York
  • Bräunling: Flugzeuggasturbinen, Springer., Berlin, Heidelberg, New York
  • Seume: Stationäre Gasturbinen, Springer., Berlin, Heidelberg, New York
  • Menny: Strömungsmaschinen, Teubner., Stuttgart


Course L1563: Turbomachines
Typ Recitation Section (large)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Markus Schatz
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0721: Air Conditioning

Courses
Title Typ Hrs/wk CP
Air Conditioning (L0594) Lecture 3 5
Air Conditioning (L0595) Recitation Section (large) 1 1
Module Responsible Prof. Arne Speerforck
Admission Requirements None
Recommended Previous Knowledge Technical Thermodynamics I, II, Fluid Dynamics, Heat Transfer
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students know the different kinds of air conditioning systems for buildings and mobile applications and how these systems are controlled. They are familiar with the change of state of humid air and are able to draw the state changes in a h1+x,x-diagram. They are able to calculate the minimum airflow needed for hygienic conditions in rooms and can choose suitable filters. They know the basic flow pattern in rooms and are able to calculate the air velocity in rooms with the help of simple methods. They know the principles  to calculate an air duct network. They know the different possibilities to produce cold and are able to draw these processes into suitable thermodynamic diagrams. They know the criteria for the assessment of refrigerants.


Skills

Students are able to configure air condition systems for buildings and mobile applications.  They are able to calculate an air duct network and have the ability to perform simple planning tasks, regarding natural heat sources and heat sinks. They can transfer research knowledge into practice. They are able to perform scientific work in the field of air conditioning.


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

Students are able to define tasks independently, to develop the necessary knowledge themselves based on the knowledge they have received, and to use suitable means for implementation. In the exercises, the students discuss the methods taught in the lectures using complex tasks and critically analyze the 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 60 min
Assignment for the Following Curricula Energy Systems: Specialisation Energy Systems: Elective Compulsory
Energy Systems: Specialisation Marine Engineering: Elective Compulsory
International Management and Engineering: Specialisation II. Energy and Environmental Engineering: Elective Compulsory
International Management and Engineering: Specialisation II. Aviation Systems: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Process Engineering: Specialisation Process Engineering: Elective Compulsory
Course L0594: Air Conditioning
Typ Lecture
Hrs/wk 3
CP 5
Workload in Hours Independent Study Time 108, Study Time in Lecture 42
Lecturer Prof. Arne Speerforck, Prof. Gerhard Schmitz
Language DE
Cycle SoSe
Content

1. Overview

1.1 Kinds of air conditioning systems

1.2 Ventilating

1.3 Function of an air condition system

2. Thermodynamic processes

2.1 Psychrometric chart

2.2 Mixer preheater, heater

2.3 Cooler

2.4 Humidifier

2.5 Air conditioning process in a Psychrometric chart

2.6 Desiccant assisted air conditioning

3. Calculation of heating and cooling loads

3.1 Heating loads

3.2 Cooling loads

3.3 Calculation of inner cooling load

3.4 Calculation of outer cooling load

4. Ventilating systems

4.1 Fresh air demand

4.2 Air flow in rooms

4.3 Calculation of duct systems

4.4 Fans

4.5 Filters

5. Refrigeration systems

5.1. compression chillers

5.2Absorption chillers

Literature
  • Schmitz, G.: Klimaanlagen, Skript zur Vorlesung
  • VDI Wärmeatlas, 11. Auflage, Springer Verlag, Düsseldorf 2013
  • Herwig, H.; Moschallski, A.: Wärmeübertragung, Vieweg+Teubner Verlag, Wiesbaden 2009
  • Recknagel, H.;  Sprenger, E.; Schrammek, E.-R.: Taschenbuch für Heizung- und Klimatechnik 2013/2014, 76. Auflage, Deutscher Industrieverlag, 2013



Course L0595: Air Conditioning
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, Prof. Gerhard Schmitz
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0906: Numerical Simulation and Lagrangian Transport

Courses
Title Typ Hrs/wk CP
Lagrangian transport in turbulent flows (L2301) Lecture 2 3
Computational Fluid Dynamics - Exercises in OpenFoam (L1375) Recitation Section (small) 1 1
Computational Fluid Dynamics in Process Engineering (L1052) Lecture 2 2
Module Responsible Prof. Michael Schlüter
Admission Requirements None
Recommended Previous Knowledge
  • Mathematics I-IV
  • Basic knowledge in Fluid Mechanics
  • Basic knowledge in chemical thermodynamics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

After successful completion of the module the students are able to

  • explain the the basic principles of statistical thermodynamics (ensembles, simple systems) 
  • describe the main approaches in classical Molecular Modeling (Monte Carlo, Molecular Dynamics) in various ensembles
  • discuss examples of computer programs in detail,
  • evaluate the application of numerical simulations,
  • list the possible start and boundary conditions for a numerical simulation.
Skills

The students are able to:

  • set up computer programs for solving simple problems by Monte Carlo or molecular dynamics,
  • solve problems by molecular modeling,
  • set up a numerical grid,
  • perform a simple numerical simulation with OpenFoam,
  • evaluate the result of a numerical simulation.

Personal Competence
Social Competence

The students are able to

  • develop joint solutions in mixed teams and present them in front of the other students,
  • to collaborate in a team and to reflect their own contribution toward it.




Autonomy

The students are able to:

  • evaluate their learning progress and to define the following steps of learning on that basis,
  • evaluate possible consequences for their profession.
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula Bioprocess Engineering: Specialisation A - General Bioprocess Engineering: Elective Compulsory
Bioprocess Engineering: Specialisation B - Industrial Bioprocess Engineering: Elective Compulsory
Chemical and Bioprocess Engineering: Specialisation Chemical Process Engineering: Elective Compulsory
Chemical and Bioprocess Engineering: Specialisation General Process Engineering: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory
Process Engineering: Specialisation Chemical Process Engineering: Elective Compulsory
Process Engineering: Specialisation Process Engineering: Elective Compulsory
Course L2301: Lagrangian transport in turbulent flows
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr. Yan Jin
Language EN
Cycle SoSe
Content

Contents

- Common variables and terms for characterizing turbulence (energy spectra, energy cascade, etc.)

- An overview of Lagrange analysis methods and experiments in fluid mechanics

- Critical examination of the concept of turbulence and turbulent structures.

-Calculation of the transport of ideal fluid elements and associated analysis methods (absolute and relative diffusion, Lagrangian Coherent Structures, etc.)

- Implementation of a Runge-Kutta 4th-order in Matlab

- Introduction to particle integration using ODE solver from Matlab

- Problems from turbulence research

- Application analytical methods with Matlab.


Structure:

- 14 units a 2x45 min. 

- 10 units lecture

- 4 Units Matlab Exercise- Go through the exercises Matlab, Peer2Peer? Explain solutions to your colleague


Learning goals:

Students receive very specific, in-depth knowledge from modern turbulence research and transport analysis. → Knowledge

The students learn to classify the acquired knowledge, they study approaches to further develop the knowledge themselves and to relate different data sources to each other. → Knowledge, skills

The students are trained in the personal competence to independently delve into and research a scientific topic. → Independence

Matlab exercises in small groups during the lecture and guided Peer2Peer discussion rounds train communication skills in complex situations. The mixture of precise language and intuitive understanding is learnt. → Knowledge, social competence


Required knowledge:

Fluid mechanics 1 and 2 advantageous

Programming knowledge advantageous



Literature

Bakunin, Oleg G. (2008): Turbulence and Diffusion. Scaling Versus Equations. Berlin [u. a.]: Springer Verlag.

Bourgoin, Mickaël; Ouellette, Nicholas T.; Xu, Haitao; Berg, Jacob; Bodenschatz, Eberhard (2006): The role of pair dispersion in turbulent flow. In: Science (New York, N.Y.) 311 (5762), S. 835-838. DOI: 10.1126/science.1121726.

Davidson, P. A. (2015): Turbulence. An introduction for scientists and engineers. Second edition. Oxford: Oxford Univ. Press.

Graff, L. S.; Guttu, S.; LaCasce, J. H. (2015): Relative Dispersion in the Atmosphere from Reanalysis Winds. In: J. Atmos. Sci. 72 (7), S. 2769-2785. DOI: 10.1175/JAS-D-14-0225.1.

Grigoriev, Roman (2011): Transport and Mixing in Laminar Flows. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA.

Haller, George (2015): Lagrangian Coherent Structures. In: Annu. Rev. Fluid Mech. 47 (1), S. 137-162. DOI: 10.1146/annurev-fluid-010313-141322.

Kameke, A. von; Huhn, F.; Fernández-García, G.; Muñuzuri, A. P.; Pérez-Muñuzuri, V. (2010): Propagation of a chemical wave front in a quasi-two-dimensional superdiffusive flow. In: Physical review. E, Statistical, nonlinear, and soft matter physics 81 (6 Pt 2), S. 66211. DOI: 10.1103/PhysRevE.81.066211.

Kameke, A. von; Huhn, F.; Fernández-García, G.; Muñuzuri, A. P.; Pérez-Muñuzuri, V. (2011): Double cascade turbulence and Richardson dispersion in a horizontal fluid flow induced by Faraday waves. In: Physical review letters 107 (7), S. 74502. DOI: 10.1103/PhysRevLett.107.074502.

Kameke, A.v.; Kastens, S.; Rüttinger, S.; Herres-Pawlis, S.; Schlüter, M. (2019): How coherent structures dominate the residence time in a bubble wake: An experimental example. In: Chemical Engineering Science 207, S. 317-326. DOI: 10.1016/j.ces.2019.06.033.

Klages, Rainer; Radons, Günter; Sokolov, Igor M. (2008): Anomalous Transport: Wiley.

LaCasce, J. H. (2008): Statistics from Lagrangian observations. In: Progress in Oceanography 77 (1), S. 1-29. DOI: 10.1016/j.pocean.2008.02.002.

Neufeld, Zoltán; Hernández-García, Emilio (2009): Chemical and Biological Processes in Fluid Flows: PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO.

Onu, K.; Huhn, F.; Haller, G. (2015): LCS Tool: A computational platform for Lagrangian coherent structures. In: Journal of Computational Science 7, S. 26-36. DOI: 10.1016/j.jocs.2014.12.002.

Ouellette, Nicholas T.; Xu, Haitao; Bourgoin, Mickaël; Bodenschatz, Eberhard (2006): An experimental study of turbulent relative dispersion models. In: New J. Phys. 8 (6), S. 109. DOI: 10.1088/1367-2630/8/6/109.

Pope, Stephen B. (2000): Turbulent Flows. Cambridge: Cambridge University Press.

Rivera, M. K.; Ecke, R. E. (2005): Pair dispersion and doubling time statistics in two-dimensional turbulence. In: Physical review letters 95 (19), S. 194503. DOI: 10.1103/PhysRevLett.95.194503.

Vallis, Geoffrey K. (2010): Atmospheric and oceanic fluid dynamics. Fundamentals and large-scale circulation. 5. printing. Cambridge: Cambridge Univ. Press.

Course L1375: Computational Fluid Dynamics - Exercises in OpenFoam
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Michael Schlüter
Language EN
Cycle SoSe
Content
  • generation of numerical grids with a common grid generator
  • selection of models and boundary conditions
  • basic numerical simulation with OpenFoam within the TUHH CIP-Pool


Literature OpenFoam Tutorials (StudIP)
Course L1052: Computational Fluid Dynamics in Process Engineering
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Michael Schlüter
Language EN
Cycle SoSe
Content
  • Introduction into partial differential equations
  • Basic equations
  • Boundary conditions and grids
  • Numerical methods
  • Finite difference method
  • Finite volume method
  • Time discretisation and stability
  • Population balance
  • Multiphase Systems
  • Modeling of Turbulent Flows
  • Exercises: Stability Analysis 
  • Exercises: Example on CFD - analytically/numerically 
Literature

Paschedag A.R.: CFD in der Verfahrenstechnik: Allgemeine Grundlagen und mehrphasige Anwendungen, Wiley-VCH, 2004 ISBN 3-527-30994-2.

Ferziger, J.H.; Peric, M.: Numerische Strömungsmechanik. Springer-Verlag, Berlin, 2008, ISBN: 3540675868.

Ferziger, J.H.; Peric, M.: Computational Methods for Fluid Dynamics. Springer, 2002, ISBN 3-540-42074-6


Module M1287: Risk Management, Hydrogen and Fuel Cell Technology

Courses
Title Typ Hrs/wk CP
Applied Fuel Cell Technology (L1831) Lecture 2 2
Risk Management in the Energy Industry (L1748) Lecture 2 2
Hydrogen Technology (L0060) Lecture 2 2
Module Responsible Prof. Martin Kaltschmitt
Admission Requirements None
Recommended Previous Knowledge

None

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

With completion of this module students can explain basics of risk management involving thematical adjacent contexts and can describe an optimal management of energy systems.

Furthermore, students can reproduce solid theoretical knowledge about the potentials and applications of new information technologies in logistics and explain technical aspects of the use, production and processing of hydrogen.

Skills

With completion of this module students are able to evaluate risks of energy systems with respect to energy economic conditions in an efficient way. This includes that the students can assess the risks in operational planning of power plants from a technical, economic and ecological perspective.

In this context, students can evaluate the potentials of logistics and information technology in particular on energy issues.

In addition, students are able to describe the energy transfer medium hydrogen according to its applications, the given security and its existing service capacities and limits as well as to evaluate these aspects from a technical, environmental and economic perspective.

Personal Competence
Social Competence

Students are able to discuss issues in the thematic fields in the renewable energy sector addressed within the module.

Autonomy

Students can independently exploit sources on the emphasis of the lectures and acquire the contained knowledge. In this way, they can recognize their lacks of knowledge and can consequently define the further workflow. 

Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 3 hours written exam
Assignment for the Following Curricula Aircraft Systems Engineering: Core Qualification: Elective Compulsory
Aeronautics: Core Qualification: Elective Compulsory
Renewable Energies: Specialisation Wind Energy Systems: Elective Compulsory
Renewable Energies: Specialisation Solar Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Process Engineering: Specialisation Environmental Process Engineering: Elective Compulsory
Course L1831: Applied Fuel Cell Technology
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Klaus Bonhoff
Language DE
Cycle SoSe
Content

The lecture provide an insight into the various possibilities of fuel cells in the energy system (electricity, heat and transport).  These are presented and discussed for individual fuel types and application-oriented requirements; also compared with alternative technologies in the system. These different possibilities will be presented regardind the state-of-the-art development  of the technologies and exemplary applications from Germany and worldwide. Also the emerging trends and lines of development will be discussed. Besides to the technical aspects, which are the focus of the event, also energy, environmental and industrial policy aspects are discussed - also in the context of changing circumstances in the German and international energy system.

Literature

Vorlesungsunterlagen

Course L1748: Risk Management in the Energy Industry
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Dr. Christian Wulf
Language DE
Cycle SoSe
Content
  • Basics of risk management
    • Definition of terms
    • Risk types
    • Risk management process
    • Enterprise risk management
  • Markets and instruments in energy trading
    • Basics of futures and spot trading
    • Notation in energy markets
    • Options
  • Kennzahlendefinition
    • Assessing of market risks
    • Assessing of credit risks
    • Assessing of operational risks
    • Assessing of liquidy risks
  • Risk monitoring and reporting
  • Risk treatment
Literature
  • Roggi, O. (2012): Risk Taking: A Corporate Governance Perspective, International Finance Corporation, New York
  • Hull, J. C. (2012): Options, Futures, and other Derivatives, 8. Auflage, Pearson Verlag, New York
  • Albrecht, P.; Maurer, R. (2008): Investment- und Risikomanagement, 3. Auflage, Schäffer-Poeschel Verlag, Stuttgart
  • Rittenberg, L.; Martens, F. (2012): Understanding and Communicating Risk Appetite, Treadway Commission, Durham
Course L0060: Hydrogen Technology
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Jun.-Prof. Julian Jepsen
Language DE
Cycle SoSe
Content
  1. Energy economy
  2. Hydrogen economy
  3. Occurrence and properties of hydrogen
  4. Production of hydrogen (from hydrocarbons and by electrolysis)
  5. Separation and purification Storage and transport of hydrogen 
  6. Security
  7. Fuel cells
  8. Projects
Literature
  • Skriptum zur Vorlesung
  • Winter, Nitsch: Wasserstoff als Energieträger
  • Ullmann’s Encyclopedia of Industrial Chemistry
  • Kirk, Othmer: Encyclopedia of Chemical Technology
  • Larminie, Dicks: Fuel cell systems explained


Module M0513: System Aspects of Renewable Energies

Courses
Title Typ Hrs/wk CP
Fuel Cells, Batteries, and Gas Storage: New Materials for Energy Production and Storage (L0021) Lecture 2 2
Energy Trading (L0019) Lecture 1 1
Energy Trading (L0020) Recitation Section (small) 1 1
Deep Geothermal Energy (L0025) Lecture 2 2
Module Responsible Prof. Martin Kaltschmitt
Admission Requirements None
Recommended Previous Knowledge

Module: Technical Thermodynamics I

Module: Technical Thermodynamics II

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge Students are able to describe the processes in energy trading and the design of energy markets and can critically evaluate them in relation to current subject specific problems. Furthermore, they are able to explain the basics of thermodynamics of electrochemical energy conversion in fuel cells and can establish and explain the relationship to different types of fuel cells and their respective structure. Students can compare this technology with other energy storage options. In addition, students can give an overview of the procedure and the energetic involvement of deep geothermal energy.

Skills

Students can apply the learned knowledge of storage systems for excessive energy to explain for various energy systems different approaches to ensure a secure energy supply. In particular, they can plan and calculate domestic, commercial and industrial heating equipment using energy storage systems in an energy-efficient way and can assess them in relation to complex power systems. In this context, students can assess the potential and limits of geothermal power plants and explain their operating mode.

Furthermore, the students are able to explain the procedures and strategies for marketing of energy and apply it in the context of other modules on renewable energy projects. In this context they can unassistedly carry out analysis and evaluations of energie markets and energy trades. 

Personal Competence
Social Competence

Students are able to discuss issues in the thematic fields in the renewable energy sector addressed within the module.

Autonomy

Students can independently exploit sources , acquire the particular knowledge about the subject area and transform it to new questions.

Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 3 hours written exam
Assignment for the Following Curricula Bioprocess Engineering: Specialisation A - General Bioprocess Engineering: Elective Compulsory
Aircraft Systems Engineering: Core Qualification: Elective Compulsory
International Management and Engineering: Specialisation II. Renewable Energy: Elective Compulsory
International Management and Engineering: Specialisation II. Energy and Environmental Engineering: Elective Compulsory
International Management and Engineering: Specialisation II. Process Engineering and Biotechnology: Elective Compulsory
Aeronautics: Core Qualification: Elective Compulsory
Renewable Energies: Core Qualification: Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Process Engineering: Specialisation Environmental Process Engineering: Elective Compulsory
Process Engineering: Specialisation Process Engineering: Elective Compulsory
Water and Environmental Engineering: Specialisation Water: Elective Compulsory
Water and Environmental Engineering: Specialisation Environment: Elective Compulsory
Course L0021: Fuel Cells, Batteries, and Gas Storage: New Materials for Energy Production and Storage
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Michael Fröba
Language DE
Cycle SoSe
Content
  1. Introduction to electrochemical energy conversion
  2. Function and structure of electrolyte
  3. Low-temperature fuel cell
    • Types
    • Thermodynamics of the PEM fuel cell
    • Cooling and humidification strategy
  4. High-temperature fuel cell
    • The MCFC
    • The SOFC
    • Integration Strategies and partial reforming
  5. Fuels
    • Supply of fuel
    • Reforming of natural gas and biogas
    • Reforming of liquid hydrocarbons
  6. Energetic Integration and control of fuel cell systems


Literature
  • Hamann, C.; Vielstich, W.: Elektrochemie 3. Aufl.; Weinheim: Wiley - VCH, 2003


Course L0019: Energy Trading
Typ Lecture
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Michael Sagorje, Dr. Sven Orlowski
Language DE
Cycle SoSe
Content
  • Basic concepts and tradable products in energy markets
  • Primary energy markets
  • Electricity Markets
  • European Emissions Trading Scheme
  • Influence of renewable energy
  • Real options
  • Risk management

Within the exercise the various tasks are actively discussed and applied to various cases of application.

Literature
Course L0020: Energy Trading
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Michael Sagorje, Dr. Sven Orlowski
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L0025: Deep Geothermal Energy
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Dr. Ben Norden
Language DE
Cycle SoSe
Content
  1. Introduction to the deep geothermal use
  2. Geological Basics I
  3. Geological Basics II
  4. Geology and thermal aspects
  5. Rock Physical Aspects
  6. Geochemical aspects
  7. Exploration of deep geothermal reservoirs
  8. Drilling technologies, piping and expansion
  9. Borehole Geophysics
  10. Underground system characterization and reservoir engineering
  11. Microbiology and Upper-day system components
  12. Adapted investment concepts, cost and environmental aspect
Literature
  • Dipippo, R.: Geothermal Power Plants: Principles, Applications, Case Studies and Environmental Impact. Butterworth Heinemann; 3rd revised edition. (29. Mai 2012)
  • www.geo-energy.org
  • Edenhofer et al. (eds): Renewable Energy Sources and Climate Change Mitigation; Special Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, 2012.
  • Kaltschmitt et al. (eds): Erneuerbare Energien: Systemtechnik, Wirtschaftlichkeit, Umweltaspekte. Springer, 5. Aufl. 2013.
  • Kaltschmitt et al. (eds): Energie aus Erdwärme. Spektrum Akademischer Verlag; Auflage: 1999 (3. September 2001)
  • Huenges, E. (ed.): Geothermal Energy Systems: Exploration, Development, and Utilization. Wiley-VCH Verlag GmbH & Co. KGaA; Auflage: 1. Auflage (19. April 2010)


Module M1878: Sustainable energy from wind and water

Courses
Title Typ Hrs/wk CP
Offshore Geotechnical Engineering (L0067) Lecture 1 1
Hydro Power Use (L0013) Lecture 1 1
Wind Turbine Plants (L0011) Lecture 2 3
Wind Energy Use - Focus Offshore (L0012) Lecture 1 1
Module Responsible Dr. Marvin Scherzinger
Admission Requirements None
Recommended Previous Knowledge

Module: Technical Thermodynamics I,

Module: Technical Thermodynamics II,

Module: Fundamentals of Fluid Mechanics

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

By ending this module students can explain in detail knowledge of wind turbines with a particular focus of wind energy use in offshore conditions and can critical comment these aspects in consideration of current developments. Furthermore, they are able to describe fundamentally the use of water power to generate electricity. The students reproduce and explain the basic procedure in the implementation of renewable energy projects in countries outside Europe.

Through active discussions of various topics within the seminar of the module, students improve their understanding and the application of the theoretical background and are thus able to transfer what they have learned in practice.

Skills

Students are able to apply the acquired theoretical foundations on exemplary water or wind power systems and evaluate and assess technically the resulting relationships in the context of dimensioning and operation of these energy systems. They can in compare critically the special procedure for the implementation of renewable energy projects in countries outside Europe with the in principle applied approach in Europe and can apply this procedure on exemplary theoretical projects.

Personal Competence
Social Competence

 Students can discuss scientific tasks subjet-specificly and multidisciplinary within a seminar.

Autonomy

Students can independently exploit sources in the context of the emphasis of the lecture material to clear the contents of the lecture and to acquire the particular knowledge about the subject area.

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 Civil Engineering: Specialisation Structural Engineering: Elective Compulsory
Civil Engineering: Specialisation Geotechnical Engineering: Elective Compulsory
Civil Engineering: Specialisation Coastal Engineering: Elective Compulsory
International Management and Engineering: Specialisation II. Energy and Environmental Engineering: Elective Compulsory
International Management and Engineering: Specialisation II. Renewable Energy: Elective Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Renewable Energies: Core Qualification: Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Process Engineering: Specialisation Environmental Process Engineering: Elective Compulsory
Water and Environmental Engineering: Specialisation Cities: Elective Compulsory
Water and Environmental Engineering: Specialisation Environment: Compulsory
Course L0067: Offshore Geotechnical Engineering
Typ Lecture
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dr. Jan Dührkop
Language DE
Cycle SoSe
Content
  • Overview and Introduction Offshore Geotechnics
  • Introduction to Soil Mechanics
  • Offshore soil investigation
  • Focus on cyclical effects
  • Geotechnical design of offshore foundations
  • Monopiles
  • Jackets
  • Heavyweight foundations
  • Geotechnical preliminary exploration for the use of lift boats and platforms
Literature
  • Randolph, M. and Gourvenec, S (2011): Offshore Geotechnical Engineering. Spon Press.
  • Poulos H.G. (1988): Marine Geotechnics. Unwin Hyman, London
  • BSH-Standard Baugrunderkundung für Offshore-Windenergieparks
  • Lesny K. (2010): Foundations for Offshore Wind Turbines. VGE Verlag, Essen.
  • EA-Pfähle (2012): Empfehlungen des Arbeitskreises Pfähle der DGGT. Ernst & Sohn, Berlin.


Course L0013: Hydro Power Use
Typ Lecture
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Stefan Achleitner
Language DE
Cycle SoSe
Content
  • Introduction, importance of water power in the national and global context
  • Physical basics: Bernoulli's equation, usable height of fall, hydrological measures, loss mechanisms, efficiencies
  • Classification of Hydropower: Flow and Storage hydropower, low and high pressure systems
  • Construction of hydroelectric power plants: description of the individual components and their technical system interaction
  • Structural engineering components; representation of dams, weirs, dams, power houses, computer systems, etc.
  • Energy Technical Components: Illustration of the different types of hydraulic machinery, generators and grid connection
  • Hydropower and the Environment
  • Examples from practice

Literature
  • Schröder, W.; Euler, G.; Schneider, K.: Grundlagen des Wasserbaus; Werner, Düsseldorf, 1999, 4. Auflage
  • Quaschning, V.: Regenerative Energiesysteme: Technologie - Berechnung - Simulation; Carl Hanser, München, 2011, 7. Auflage
  • Giesecke, J.; Heimerl, S.; Mosony, E.: Wasserkraftanlagen ‑ Planung, Bau und Betrieb; Springer, Berlin, Heidelberg, 2009, 5. Auflage
  • von König, F.; Jehle, C.: Bau von Wasserkraftanlagen - Praxisbezogene Planungsunterlagen; C. F. Müller, Heidelberg, 2005, 4. Auflage
  • Strobl, T.; Zunic, F.: Wasserbau: Aktuelle Grundlagen - Neue Entwicklungen; Springer, Berlin, Heidelberg, 2006


Course L0011: Wind Turbine Plants
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr. Rudolf Zellermann
Language DE
Cycle SoSe
Content
  • Historical development
  • Wind: origins, geographic and temporal distribution, locations
  • Power coefficient, rotor thrust
  • Aerodynamics of the rotor
  • Operating performance
  • Power limitation, partial load, pitch and stall control
  • Plant selection, yield prediction, economy
  • Excursion
Literature

Gasch, R., Windkraftanlagen, 4. Auflage, Teubner-Verlag, 2005


Course L0012: Wind Energy Use - Focus Offshore
Typ Lecture
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Martin Skiba
Language DE
Cycle SoSe
Content
  • Introduction, importance of offshore wind power generation, Specific requirements for offshore engineering
  • Physical fundamentals for utilization of wind energy
  • Design and operation of offshore wind turbines, presentation of different concepts of offshore wind turbines, representation of the individual system components and their system-technical relationships
  • Foundation engineering, offshore site investigation, presentation of different concepts of offshore foundation structures, planning and fabrication of foundation structures
  • Electrical infrastructure of an offshore wind farm, Inner Park cabling, offshore substation, grid connection
  • Installation of offshore wind farms, installation techniques and auxiliary devices, construction logistics
  • Development and planning of offshore wind farms
  • Operation and optimization of offshore wind farms
  • Day excursion
Literature
  • Gasch, R.; Twele, J.: Windkraftanlagen - Grundlagen, Entwurf, Planung und Betrieb; Vieweg + Teubner, Stuttgart, 2007, 7. Auflage
  • Molly, J. P.: Windenergie - Theorie, Anwendung, Messung; C. F. Müller, Heidel-berg, 1997, 3. Auflage
  • Hau, E.: Windkraftanalagen; Springer, Berlin, Heidelberg, 2008, 4.Auflage
  • Heier, S.: Windkraftanlagen - Systemauslegung, Integration und Regelung; Vieweg + Teubner, Stuttgart, 2009, 5. Auflage
  • Jarass, L.; Obermair, G.M.; Voigt, W.: Windenergie: Zuverlässige Integration in die Energieversorgung; Springer, Berlin, Heidelberg, 2009, 2. Auflage


Module M1709: Applied optimization in energy and process engineering

Courses
Title Typ Hrs/wk CP
Applied optimization in energy and process engineering (L2693) Integrated Lecture 2 3
Applied optimization in energy and process engineering (L2695) Recitation Section (small) 2 3
Module Responsible Prof. Mirko Skiborowski
Admission Requirements None
Recommended Previous Knowledge

Fundamentals in the field of mathematical modeling and numerical mathematics, as well as a basic understanding of process engineering processes.


In particular the contents of the module Process and Plant Engineering II

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

The module provides a general introduction to the basics of applied mathematical optimization and deals with application areas on different scales from the identification of kinetic models, to the optimal design of unit operations and the optimization of entire (sub)processes, as well as production planning. In addition to the basic classification and formulation of optimization problems, different solution approaches are discussed and tested during the exercises. Besides deterministic gradient-based methods, metaheuristics such as evolutionary and genetic algorithms and their application are discussed as well.

• Introduction to Applied Optimization

• Formulation of optimization problems

• Linear Optimization

• Nonlinear Optimization

• Mixed-integer (non)linear optimization

• Multi-objective optimization

• Global optimization

Skills

After successful participation in the module "Applied Optimization in Energy and Process Engineering", students are able to formulate the different types of optimization problems and to select appropriate solution methods in suitable software such as Matlab and GAMS and to develop improved solution strategies. Furthermore, students will be able to interpret and critically examine the results accordingly.


Personal Competence
Social Competence

Students are capable of:

•develop solutions in heterogeneous small groups
Autonomy

Students are capable of:

•taping new knowledge on a special subject by literature research
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Oral exam
Examination duration and scale 35 min
Assignment for the Following Curricula Bioprocess Engineering: Specialisation A - General Bioprocess Engineering: Elective Compulsory
Chemical and Bioprocess Engineering: Specialisation Bioprocess Engineering: Elective Compulsory
Chemical and Bioprocess Engineering: Specialisation Chemical Process Engineering: Elective Compulsory
Chemical and Bioprocess Engineering: Specialisation General Process Engineering: Elective Compulsory
Energy Systems: Specialisation Energy Systems: Elective Compulsory
Environmental Engineering: Specialisation Energy and Resources: Elective Compulsory
Renewable Energies: Specialisation Bioenergy Systems: Elective Compulsory
Renewable Energies: Specialisation Wind Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Process Engineering: Specialisation Chemical Process Engineering: Elective Compulsory
Process Engineering: Specialisation Process Engineering: Elective Compulsory
Course L2693: Applied optimization in energy and process engineering
Typ Integrated Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Mirko Skiborowski
Language DE/EN
Cycle SoSe
Content

The lecture offers a general introduction to the basics and possibilities of applied mathematical optimization and deals with application areas on different scales from kinetics identification, optimal design of unit operations to the optimization of entire (sub)processes, and production planning. In addition to the basic classification and formulation of optimization problems, different solution approaches are discussed. Besides deterministic gradient-based methods, metaheuristics such as evolutionary and genetic algorithms and their application are discussed as well.

- Introduction to Applied Optimization

- Formulation of optimization problems

- Linear Optimization

- Nonlinear Optimization

- Mixed-integer (non)linear optimization

- Multi-objective optimization

- Global optimization

Literature

Weicker, K., Evolutionäre Algortihmen, Springer, 2015

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

Biegler, L. Nonlinear Programming - Concepts, Algorithms, and Applications to Chemical Processes, 2010

Kallrath, J. Gemischt-ganzzahlige Optimierung: Modellierung in der Praxis, Vieweg, 2002

Course L2695: Applied optimization in energy and process engineering
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Mirko Skiborowski
Language DE/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1909: System Simulation

Courses
Title Typ Hrs/wk CP
System Simulation Modul (L3150) Lecture 2 3
System Simulation Modul (L3151) Recitation Section (large) 2 3
Module Responsible Prof. Arne Speerforck
Admission Requirements None
Recommended Previous Knowledge

Mathematics I-III, Computer Sciense, Engineering Thermodynamics I, II, Fluid Dynamics, Heat Transfer, Control Systems


Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
Skills
Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula Energy Systems: Core Qualification: Compulsory
Aircraft Systems Engineering: Core Qualification: Elective Compulsory
Aeronautics: Core Qualification: Elective Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Renewable Energies: Specialisation Bioenergy Systems: Elective Compulsory
Renewable Energies: Specialisation Solar Energy Systems: Elective Compulsory
Renewable Energies: Specialisation Wind Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Course L3150: System Simulation Modul
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Arne Speerforck, Dr. Johannes Brunnemann
Language DE
Cycle WiSe
Content

Lecture about equation-based, physical modelling using the modelling language Modelica and the free simulation tool OpenModelica 1.17.0.

  • Instruction and modelling of physical processes
  • Modelling and limits of model
  • Time constant, stiffness, stability, step size
  • Terms of object orientated programming
  • Differential equations of simple systems
  • Introduction into Modelica
  • Introduction into simulation tool
  • Example:Hydraulic systems and heat transfer
  • Example: System with different subsystems


Literature

[1]    Modelica Association: "Modelica Language Specification - Version 3.5", Linköping,  Sweden, 2021.

[2]    OpenModelica: OpenModelica 1.17.0, https://www.openmodelica.org (siehe Download), 2021.

[3]    M. Tiller:  “Modelica by Example", https://book.xogeny.com, 2014.

[4]    M. Otter, H. Elmqvist, et al.: "Objektorientierte Modellierung Physikalischer Systeme",  at- Automatisierungstechnik (german), Teil 1 - 17, Oldenbourg Verlag, 1999 - 2000.

[5]    P. Fritzson: "Principles of Object-Oriented Modeling and Simulation with Modelica 3.3", Wiley-IEEE Press, New York, 2015.

[6]    P. Fritzson: “Introduction to Modeling and Simulation of Technical and Physical  Systems with Modelica”, Wiley, New York, 2011.

Course L3151: System Simulation Modul
Typ Recitation Section (large)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Arne Speerforck, Dr. Johannes Brunnemann
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0515: Energy Information Systems and Electromobility

Courses
Title Typ Hrs/wk CP
Electrical Power Systems II: Operation and Information Systems of Electrical Power Grids (L1696) Lecture 3 4
Electro mobility (L1833) Lecture 2 2
Module Responsible Prof. Martin Kaltschmitt
Admission Requirements None
Recommended Previous Knowledge

Fundamentals of Electrical Engineering

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

Students are able to give an overview of the electric power engineering in the field of renewable energies. They can explain in detail  the possibilities for the integration of renewable energy systems into the existing grid, the electrical storage possibilities and the electric power transmission and distribution, and can take critically a stand on it.

Skills With completion of this module the students are able to apply the acquired skills in applications of the design, integration, development of renewable energy systems and to assess the results.

Personal Competence
Social Competence

The students can participate in specialized and interdisciplinary discussions, advance ideas and represent their own work results in front of others.

Autonomy

Students can independently tap knowledge of the emphasis of the lectures. 

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Oral exam
Examination duration and scale 40 min
Assignment for the Following Curricula Renewable Energies: Specialisation Wind Energy Systems: Elective Compulsory
Renewable Energies: Specialisation Solar Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Course L1696: Electrical Power Systems II: Operation and Information Systems of Electrical Power Grids
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Christian Becker
Language DE
Cycle WiSe
Content
  • steaedy-state modelling of electric power systems
    • conventional components
    • Flexible AC Transmission Systems (FACTS) and HVDC
    • grid modelling
  • grid operation
    • electric power supply processes
    • grid and power system management
    • grid provision
  • grid control systems
    • information and communication systems for power system management
    • IT architectures of bay-, substation and network control level 
    • IT integration (energy market / supply shortfall management / asset management)
    • future trends of process control technology
    • smart grids
  • functions and steady-state computations for power system operation and plannung
    • load-flow calculations
    • sensitivity analysis and power flow control
    • power system optimization
    • short-circuit calculation
    • asymmetric failure calculation
      • symmetric components
      • calculation of asymmetric failures
    • state estimation
Literature

E. Handschin: Elektrische Energieübertragungssysteme, Hüthig Verlag

B. R. Oswald: Berechnung von Drehstromnetzen, Springer-Vieweg Verlag

V. Crastan: Elektrische Energieversorgung Bd. 1 & 3, Springer Verlag

E.-G. Tietze: Netzleittechnik Bd. 1 & 2, VDE-Verlag

Course L1833: Electro mobility
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Klaus Bonhoff
Language DE
Cycle WiSe
Content
  • Introduction and environment
  • Definition of electric vehicles
  • Excursus: Electric vehicles with fuel cell
  • Market uptake of electric cars
  • Political / Regulatory Framework
  • Historical Review
  • Electric vehicle portfolio / application examples
  • Mild hybrids with 48 volt technology
  • Lithium-ion battery incl. Costs, roadmap, production, raw materials
  • Vehicle Integration
  • Energy consumption of electric cars
  • Battery life
  • Charging Infrastructure
  • Electric road transport
  • Electric public transport
  • Battery Safety

Literature Vorlesungsunterlagen/ lecture material

Module M1149: Marine Power Engineering

Courses
Title Typ Hrs/wk CP
Electrical Installation on Ships (L1531) Lecture 2 2
Electrical Installation on Ships (L1532) Recitation Section (large) 1 1
Marine Engineering (L1569) Lecture 2 2
Marine Engineering (L1570) Recitation Section (large) 1 1
Module Responsible Prof. Christopher Friedrich Wirz
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students are able to describe the state-of-the-art regarding the wide range of propulsion components on ships and apply their knowledge. They further know how to analyze and optimize the interaction of the components of the propulsion system and how to describe complex correlations with the specific technical terms in German and English.  The students are able to name the operating behaviour of consumers, describe special requirements on the design of supply networks and to the electrical equipment in isolated networks, as e.g. onboard ships, offshore units, factories and emergency power supply systems, explain power generation and distribution in isolated grids, wave generator systems on ships, and name requirements for network protection, selectivity and operational monitoring.


Skills

The students are skilled to employ basic and detail knowledge regarding reciprocating machinery, their selection and operation on board ships. They are further able to assess, analyse and solve technical and operational problems with propulsion and auxiliary plants and to design propulsion systems. The students have the skills to describe complex correlations and bring them into context with related disciplines. Students are able to calculate short-circuit currents, switchgear, and design electrical propulsion systems for ships.


Personal Competence
Social Competence

The students are able to communicate and cooperate in a professional environment in the shipbuilding and component supply industry.

 

Autonomy

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

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 minutes plus 20 minutes oral exam
Assignment for the Following Curricula Energy Systems: Specialisation Energy Systems: Elective Compulsory
Energy Systems: Specialisation Marine Engineering: Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Course L1531: Electrical Installation on Ships
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Günter Ackermann
Language DE
Cycle WiSe
Content
  • performance in service of electrical consumers.
  • special requirements for power supply systems and for electrical equipment in isolated systems/networks e. g. aboard ships, offshore installations, factory systems and emergency power supply systems.
  • power generation and distribution in isolated networks, shaft generators for ships
  • calculation of short circuits and behaviour of switching devices
  • protective devices, selectivity monitoring
  • electrical Propulsion plants for ships
Literature

H. Meier-Peter, F. Bernhardt u. a.: Handbuch der Schiffsbetriebstechnik, Seehafen Verlag

(engl. Version: "Compendium Marine Engineering")

Gleß, Thamm: Schiffselektrotechnik, VEB Verlag Technik Berlin

Course L1532: Electrical Installation on Ships
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Günter Ackermann
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L1569: Marine Engineering
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Christopher Friedrich Wirz
Language DE
Cycle WiSe
Content
Literature

Wird in der Veranstaltung bekannt gegeben

Course L1570: Marine Engineering
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

Module M0508: Fluid Mechanics and Ocean Energy

Courses
Title Typ Hrs/wk CP
Energy from the Ocean (L0002) Lecture 2 2
Fluid Mechanics II (L0001) Lecture 2 4
Module Responsible Prof. Michael Schlüter
Admission Requirements None
Recommended Previous Knowledge

Technische Thermodynamik I-II
Wärme- und Stoffübertragung

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

The students are able to describe different applications of fluid mechanics for the field of Renewable Energies. They are able to use the fundamentals of fluid mechanics for calculations of certain engineering problems in the field of ocean energy. The students are able to estimate if a problem can be solved with an analytical solution and what kind of alternative possibilities are available (e.g. self-similarity, empirical solutions, numerical methods).

Skills

Students are able to use the governing equations of Fluid Dynamics for the design of technical processes. Especially they are able to formulate momentum and mass balances to optimize the hydrodynamics of technical processes. They are able to transform a verbal formulated message into an abstract formal procedure.

Personal Competence
Social Competence

The students are able to discuss a given problem in small groups and to develop an approach. They are able to solve a problem within a team, to prepare a poster with the results and to present the poster.

Autonomy

Students are able to define independently tasks for problems related to fluid mechanics. They are able to work out the knowledge that is necessary to solve the problem by themselves on the basis of the existing knowledge from the lecture.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 10 % Group discussion
Examination Written exam
Examination duration and scale 3h
Assignment for the Following Curricula Energy Systems: Core Qualification: Elective Compulsory
International Management and Engineering: Specialisation II. Renewable Energy: Elective Compulsory
Renewable Energies: Core Qualification: Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Course L0002: Energy from the Ocean
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Moustafa Abdel-Maksoud
Language DE
Cycle WiSe
Content
  1. Introduction to ocean energy conversion
  2. Wave properties
    • Linear wave theory
    • Nonlinear wave theory
    • Irregular waves
    • Wave energy
    • Refraction, reflection and diffraction of waves
  3. Wave energy converters
    • Overview of the different technologies
    • Methods for design and calculation
  4. Ocean current turbine
Literature
  • Cruz, J., Ocean wave energy, Springer Series in Green Energy and Technology, UK, 2008.
  • Brooke, J., Wave energy conversion, Elsevier, 2003.
  • McCormick, M.E., Ocean wave energy conversion, Courier Dover Publications, USA, 2013.
  • Falnes, J., Ocean waves and oscillating systems, Cambridge University Press,UK, 2002.
  • Charlier, R. H., Charles, W. F., Ocean energy. Tide and tidal Power. Berlin, Heidelberg, 2009.
  • Clauss, G. F., Lehmann, E., Östergaard, C., Offshore Structures. Volume 1, Conceptual Design. Springer-Verlag, Berlin 1992


Course L0001: Fluid Mechanics II
Typ Lecture
Hrs/wk 2
CP 4
Workload in Hours Independent Study Time 92, Study Time in Lecture 28
Lecturer Prof. Michael Schlüter
Language DE
Cycle WiSe
Content
  • Differential equations for momentum-, heat and mass transfer   
  • Examples for simplifications of the Navier-Stokes Equations 
  • Unsteady momentum transfer
  • Free shear layer, turbulence and free jets
  • Flow around particles - Solids Process Engineering
  • Coupling of momentum and heat transfer - Thermal Process Engineering
  • Rheology – Bioprocess Engineering
  • Coupling of momentum- and mass transfer – Reactive mixing, Chemical Process Engineering 
  • Flow threw porous structures - heterogeneous catalysis
  • Pumps and turbines - Energy- and Environmental Process Engineering 
  • Wind- and Wave-Turbines - Renewable Energy
  • Introduction into Computational Fluid Dynamics

Literature
  1. Brauer, H.: Grundlagen der Einphasen- und Mehrphasenströmungen. Verlag Sauerländer, Aarau, Frankfurt (M), 1971.
  2. Brauer, H.; Mewes, D.: Stoffaustausch einschließlich chemischer Reaktion. Frankfurt: Sauerländer 1972.
  3. Crowe, C. T.: Engineering fluid mechanics. Wiley, New York, 2009.
  4. Durst, F.: Strömungsmechanik: Einführung in die Theorie der Strömungen von Fluiden. Springer-Verlag, Berlin, Heidelberg, 2006.
  5. Fox, R.W.; et al.: Introduction to Fluid Mechanics. J. Wiley & Sons, 1994.
  6. Herwig, H.: Strömungsmechanik: Eine Einführung in die Physik und die mathematische Modellierung von Strömungen. Springer Verlag, Berlin, Heidelberg, New York, 2006.
  7. Herwig, H.: Strömungsmechanik: Einführung in die Physik von technischen Strömungen: Vieweg+Teubner Verlag / GWV Fachverlage GmbH, Wiesbaden, 2008.
  8. Kuhlmann, H.C.:  Strömungsmechanik. München, Pearson Studium, 2007
  9. Oertl, H.: Strömungsmechanik: Grundlagen, Grundgleichungen, Lösungsmethoden, Softwarebeispiele. Vieweg+ Teubner / GWV Fachverlage GmbH, Wiesbaden, 2009.
  10. Schade, H.; Kunz, E.: Strömungslehre. Verlag de Gruyter, Berlin, New York, 2007.
  11. Truckenbrodt, E.: Fluidmechanik 1: Grundlagen und elementare Strömungsvorgänge dichtebeständiger Fluide. Springer-Verlag, Berlin, Heidelberg, 2008.
  12. Schlichting, H. : Grenzschicht-Theorie. Springer-Verlag, Berlin, 2006.
  13. van Dyke, M.: An Album of Fluid Motion. The Parabolic Press, Stanford California, 1882.  

Specialization Aircraft Systems Engineering

Central to the specialization Aircraft Systems is learning the ability to systems engineering and cross-divisional thinking and problem solving in aeronautical engineering. This is made possible by modules in the field of physics of flight, aircraft systems and cabin systems, Aircraft Design, as well as airport planning and operation in the elective area. In addition, subjects in the Technical Supplement Course for TMBMS (according FSPO) are freely selectable.

Module M0812: Aircraft Design I (Civil Aircraft Design)

Courses
Title Typ Hrs/wk CP
Aircraft Design I (Design of Transport Aircraft) (L0820) Lecture 3 3
Aircraft Design I (Design of Transport Aircraft) (L0834) Recitation Section (large) 2 3
Module Responsible Prof. Volker Gollnick
Admission Requirements None
Recommended Previous Knowledge
  • Bachelor Mech. Eng.
  • Bachelor Traffic Systems
  • Vordiplom Mech. Eng.
  • Module Air Transport Systems
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  1. Principle understanding of integrated and civil aircraft design 
  2. Understanding of the interactions and contributions of the various disciplines
  3. Impact of the relevant design parameter on the civil aircraft design
  4. Introduction of the principle design methods
Skills

Understanding and application of design and calculation methods

Understanding of interdisciplinary and integrative interdependencies

Personal Competence
Social Competence

Working in interdisciplinary teams

Communication

Autonomy Organization of workflows and -strategies
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 10 % Attestation Durchführung einer Konzeptauslegung für ein Verkehrsflugzeug
Examination Written exam
Examination duration and scale 180 min
Assignment for the Following Curricula Aircraft Systems Engineering: Core Qualification: Compulsory
International Management and Engineering: Specialisation II. Aviation Systems: Elective Compulsory
Aeronautics: Core Qualification: Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Course L0820: Aircraft Design I (Design of Transport Aircraft)
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Volker Gollnick, Jens Thöben
Language DE
Cycle WiSe
Content

Introduction into the aircraft design process

  1. Introduction/process of aircraft design/various aircraft configurations
  2. Requirements and design objectives, main design parameter (u.a. payload-range-diagramme)
  3. Statistical methods in overall aircraft design/data base methods
  4. Cabin design (fuselage sizing, cabin interior, loading systems)
  5. Principles of aerodynamic aircraft design (polar, geometry, 2D/3D aerodynamics)
  6. Wing Design
  7. Tail wings and landing gear
  8. Principles of engine design and integration
  9. Flight performance in cruise
  10. Take off and landing field length
  11. Loads and V-n-diagramme
  12. Operating cost calculation
Literature

J. Roskam: "Airplane Design"

D.P. Raymer: "Aircraft Design - A Conceptual Approach"

J.P. Fielding: "Introduction to Aircraft Design"

Jenkinson, Simpkon, Rhods: "Civil Jet Aircraft Design"

Course L0834: Aircraft Design I (Design of Transport Aircraft)
Typ Recitation Section (large)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Volker Gollnick, Jens Thöben
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0763: Aircraft Energy Systems

Courses
Title Typ Hrs/wk CP
Aircraft Energy Systems (L0735) Lecture 3 4
Aircraft Energy Systems (L0739) Recitation Section (large) 2 2
Module Responsible Prof. Frank Thielecke
Admission Requirements None
Recommended Previous Knowledge

Basic knowledge in:

  • Mathematics
  • Mechanics
  • Thermodynamics
  • Electrical Engineering
  • Fluid mechanics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to:

  • Assess challenges during the design of aircraft energy systems
  • Describe essential components and design points of hydraulic and electrical supply systems
  • Give an overview of the functionality of air conditioning systems
  • Describe different system concepts for de-icing
  • Identify constraints for the electrification of aircraft systems, and evaluate possible concepts and limitations
  • Describe architectures for fuel supply systems and illustrate design examples
  • Explain possible approaches for the integration of fuel cell systems and evaluate zero-emission concepts
Skills

Students are able to:

  • Design hydraulic and electric supply systems of aircrafts
  • Analyze the thermodynamic behavior of air conditioning systems
  • Design ice protection systems 
  • Apply possible electrification concepts to existing aircraft systems
  • Design fuel supply systems
  • Perform the design of a fuel cell system
Personal Competence
Social Competence

Students are able to:

  • Perform system design in groups and present and discuss results
  • Present systems engineering problems and discuss solutions with experts


Autonomy
Students are able to:
  • Reflect on the content of lectures autonomously
  • Apply methods learned in the course of exercises to more advanced problems
  • Identify complex system dependencies autonomously and abstract simplified models and design processes
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 165 Minutes
Assignment for the Following Curricula Energy Systems: Specialisation Energy Systems: Elective Compulsory
Aircraft Systems Engineering: Core Qualification: Compulsory
International Management and Engineering: Specialisation II. Aviation Systems: Elective Compulsory
Aeronautics: Core Qualification: Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Course L0735: Aircraft Energy Systems
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Frank Thielecke
Language DE
Cycle WiSe
Content
  • Hydraulic Energy Systems (Fluids; pressure loss in valves and pipes; components of hydraulic systems like pumps, valves, etc.; pressure/flow characteristics; actuators; tanks; power and heat balances; emergency power)
  • Electric Energy Systems (Generators; constant-speed-drives; DC and AC converters; electrical power distribution; bus systems; monitoring; load analysis)
  • High Lift Systems (Principles; investigation of loads and system actuation power; principles and sizing of actuation and positioning systems; safety requirements and devices)
  • Environmental Control Systems (Thermodynamic analysis; expansion and compression cooling systems; control strategies; cabin pressure control systems)


Literature
  • Moir, Seabridge: Aircraft Systems
  • Green: Aircraft Hydraulic Systems
  • Torenbek: Synthesis of Subsonic Airplane Design
  • SAE1991: ARP; Air Conditioning Systems for Subsonic Airplanes


Course L0739: Aircraft Energy Systems
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Frank Thielecke
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0771: Flight Physics

Courses
Title Typ Hrs/wk CP
Aerodynamics and Flight Mechanics I (L0727) Lecture 3 3
Flight Mechanics II (L0730) Lecture 2 2
Flight Mechanics II (L0731) Recitation Section (large) 1 1
Module Responsible Prof. Frank Thielecke
Admission Requirements None
Recommended Previous Knowledge

Basic knowledge in:

  • Mathematics
  • Mechanics
  • Thermodynamics
  • Aviation
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to…

  • Describe the fundamental equations of aerodynamics for compressible, incompressible and frictional flow
  • Explain the principles of wings and profiles
  • Explain the aircraft equations of motion 
  • Evaluate aircraft performance and stability
  • Describe the dynamics of the longitudinal and lateral motion
  • Describe methods of flight simulation and airborne measurement technology

Skills

Students are able to…

  • Perform flight mechanic simulations
  • Derive flight mechanic relations from virtual and real flight test data

Personal Competence
Social Competence

Students are able to:

  • Perform simulations in groups and discuss results
  • Evaluate flight test data in groups, discuss and present the results

Autonomy

Students are able to:

  • Process teaching content independently
  • Prepare, work out and process simulation models independently
  • Apply teaching content on virtual and real flight test data

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 160 Minutes
Assignment for the Following Curricula Aircraft Systems Engineering: Core Qualification: Compulsory
International Management and Engineering: Specialisation II. Aviation Systems: Elective Compulsory
Aeronautics: Core Qualification: Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Course L0727: Aerodynamics and Flight Mechanics I
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Frank Thielecke, Dr. Ralf Heinrich
Language DE
Cycle WiSe
Content
  • Aerodynamics (fundamental equations of aerodynamics; compressible and incompressible flows; airfoils and wings; viscous flows)
  • Flight Mechanics (Equations of motion; flight performance; control surfaces; derivatives; lateral stability and control; trim conditions; flight maneuvers)


Literature
  • Schlichting, H.; Truckenbrodt, E.: Aerodynamik des Flugzeuges I und II
  • Etkin, B.: Dynamics of Atmospheric Flight
  • Sachs/Hafer: Flugmechanik
  • Brockhaus: Flugregelung
  • J.D. Anderson: Introduction to flight


Course L0730: Flight Mechanics II
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
  • stationary asymmetric flight
  • dynamics of lateral movement
  • methods of flight simulation
  • eyperimental methods of flight mechanics
  • model validation using system identification
  • wind tunnel techniques

Literature
  • Schlichting, H.; Truckenbrodt, E.: Aerodynamik des Flugzeuges I und II
  • Etkin, B.: Dynamics of Atmospheric Flight
  • Sachs/Hafer: Flugmechanik
  • Brockhaus: Flugregelung
  • J.D. Anderson: Introduction to flight




Course L0731: Flight Mechanics II
Typ Recitation Section (large)
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

Module M1182: Technical Elective Course for TMBMS (according to Subject Specific Regulations)

Courses
Title Typ Hrs/wk CP
Module Responsible Prof. Robert Seifried
Admission Requirements None
Recommended Previous Knowledge see FSPO
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge see FSPO
Skills see FSPO
Personal Competence
Social Competence see FSPO
Autonomy see FSPO
Workload in Hours Depends on choice of courses
Credit points 6
Assignment for the Following Curricula Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory

Module M1156: Systems Engineering

Courses
Title Typ Hrs/wk CP
Systems Engineering (L1547) Lecture 3 4
Systems Engineering (L1548) Recitation Section (large) 1 2
Module Responsible Prof. Ralf God
Admission Requirements None
Recommended Previous Knowledge

Basic knowledge in:
• Mathematics
• Mechanics
• Thermodynamics
• Electrical Engineering
• Control Systems

Previous knowledge in:
• Aircraft Cabin Systems

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

Students are able to:
• understand systems engineering process models, methods and tools for the development of complex Systems
• describe innovation processes and the need for technology Management
• explain the aircraft development process and the process of type certification for aircraft
• explain the system development process, including requirements for systems reliability
• identify environmental conditions and test procedures for airborne Equipment
• value the methodology of requirements-based engineering (RBE) and model-based requirements engineering (MBRE)

Skills

Students are able to:
• plan the process for the development of complex Systems
• organize the development phases and development Tasks
• assign required business activities and technical Tasks
• apply systems engineering methods and tools

Personal Competence
Social Competence

Students are able to:
• understand and accept their tasks within a development team
• be comfortable with their role their tasks within the overall process
• understand and serve their suppliers and customers in large projects
• assume responsibility for people and technology in the development of safety-critical systems

Autonomy

Students are able to:
• interact and communicate in a development team with division of tasks.
• independently research and identify certification specifications
• formulate requirements on their own
• create test plans on their own and accompany certification processes

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 Minutes
Assignment for the Following Curricula Aircraft Systems Engineering: Core Qualification: Compulsory
International Management and Engineering: Specialisation II. Aviation Systems: Elective Compulsory
International Management and Engineering: Specialisation II. Product Development and Production: Elective Compulsory
Aeronautics: Core Qualification: Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Product Development, Materials and Production: Specialisation Product Development: Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Course L1547: Systems Engineering
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Ralf God
Language DE
Cycle SoSe
Content

The objective of the lecture with the corresponding exercise is to accomplish the prerequisites for the development and integration of complex systems using the example of commercial aircraft and cabin systems. Competences in the systems engineering process, tools and methods is to be achieved. Regulations, guidelines and certification issues will be known.

Key aspects of the course are processes for innovation and technology management, system design, system integration and certification as well as tools and methods for systems engineering:
• Innovation processes
• IP-protection
• Technology management
• Systems engineering
• Aircraft program
• Certification issues
• Systems development
• Safety objectives and fault tolerance
• Environmental and operating conditions
• Tools for systems engineering
• Requirements-based engineering (RBE)
• Model-based requirements engineering (MBRE)


Literature

- Skript zur Vorlesung
- diverse Normen und Richtlinien (EASA, FAA, RTCA, SAE)
- Hauschildt, J., Salomo, S.: Innovationsmanagement. Vahlen, 5. Auflage, 2010
- NASA Systems Engineering Handbook, National Aeronautics and Space Administration, 2007
- Hinsch, M.: Industrielles Luftfahrtmanagement: Technik und Organisation luftfahrttechnischer Betriebe. Springer, 2010
- De Florio, P.: Airworthiness: An Introduction to Aircraft Certification. Elsevier Ltd., 2010
- Pohl, K.: Requirements Engineering. Grundlagen, Prinzipien, Techniken. 2. korrigierte Auflage, dpunkt.Verlag, 2008

Course L1548: Systems Engineering
Typ Recitation Section (large)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Ralf God
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1690: Aircraft Design II (Special Air Vehicle Design)

Courses
Title Typ Hrs/wk CP
Aircraft Design II (Conceptual Design of Rotorcraft, special operations aircraft, UAV) (L0844) Lecture 3 3
Aircraft Design II (Conceptual Design of Rotorcraft, special operations aircraft, UAV) (L0847) Recitation Section (large) 2 3
Module Responsible Prof. Volker Gollnick
Admission Requirements None
Recommended Previous Knowledge

Aircraft Design I (Design of Transport Aircraft)

Air Transportation Systems

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

Understanding of various flight systems and its special characteristics (supersonic aircraft, rotorcraft, high performance aircraft, unmanned air systems)

Understanding of pro´s and con´s and physical characteristics of different air systems

Understanding of special mission requirements and its impact on systems definition and conceptual design

Intensified knowledge of performance design on various air systems



Skills

Understanding and application of design and calculation methods

Understanding of interdisciplinary and integrative interdependencies

mission oriented technical definition of air systems

special conceptual calculation methods for special equipment characteristics

assessment of different design solutions

Personal Competence
Social Competence

Working in teams for focused solutions 

communication, assertiveness, technical persuasion

Autonomy

Organisation of worksflows and strategies for solutions

structured task analysis and definition of solutions

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 Aircraft Systems Engineering: Core Qualification: Elective Compulsory
International Management and Engineering: Specialisation II. Aviation Systems: Elective Compulsory
Aeronautics: Core Qualification: Elective Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Course L0844: Aircraft Design II (Conceptual Design of Rotorcraft, special operations aircraft, UAV)
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Volker Gollnick, Dr. Bernd Liebhardt, Jens Thöben
Language DE/EN
Cycle SoSe
Content
  1. Design of supersonic civil aircraft
  2. Principles of high performance and special operations aircraft design
  3. Principles of Rotorcraft Design
  4. Principles of Unmanned Air Systems design, air taxis, electric aircraft
Literature

Gareth Padfield: Helicopter Flight Dynamics, butterworth ltd.

Raymond Prouty: Helicopter Performance Stability and Control, Krieger Publ.

Klaus Hünecke: Das Kampfflugzeug von Heute, Motorbuch Verlag

Jay Gundelach: Designing Unmanned Aircraft Systems -  Configurative Approach, AIAA

Course L0847: Aircraft Design II (Conceptual Design of Rotorcraft, special operations aircraft, UAV)
Typ Recitation Section (large)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Volker Gollnick, Dr. Bernd Liebhardt, Jens Thöben
Language DE/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0764: Flight Control Systems

Courses
Title Typ Hrs/wk CP
Flight Control Systems (L0736) Lecture 3 4
Flight Control Systems (L0740) Recitation Section (large) 2 2
Module Responsible Prof. Frank Thielecke
Admission Requirements None
Recommended Previous Knowledge

basic knowledge of:

  • mathematics
  • mechanics
  • thermo dynamics
  • electronics
  • fluid mechanics
  • control theory
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to…

  • describe the structure and the functioning of primary flight control systems as well as actuation-, avionic-, high lift systems of aircrafts in general along with corresponding properties and applications.
  • give an overview over the functioning and the structure of landing gears and landing gear systems 
  • explain different configurations and designs and their origins
Skills

Students are able to…

  • size primary flight control actuation systems
  • perform a controller design process for the flight control actuators
  • design high-lift systems and high-lift kinematics
  • size landing gear components




Personal Competence
Social Competence

Students are able to:

  • Develop joint solutions in mixed teams
  • Present and explain developed solutions in front of other students
  • Discuss developed solutions with experts

Autonomy

Students are able to:

  • derive requirements and perform appropriate yet simplified design processes for aircraft systems from complex issues and circumstances in a self-reliant manner
  • apply new skills and methods in the context of exercises in a self-reliant manner

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 165 Minutes
Assignment for the Following Curricula Aircraft Systems Engineering: Core Qualification: Compulsory
International Management and Engineering: Specialisation II. Aviation Systems: Elective Compulsory
Aeronautics: Core Qualification: Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Course L0736: Flight Control Systems
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Frank Thielecke
Language DE
Cycle SoSe
Content
  • Actuation (Principles of actuators; electro-mechanical actuators; modeling, analysis and sizing of position control systems; hydro-mechanic actuation systems)
  • Flight Control Systems (control surfaces, hinge moments; requirements of stability and controllability, actuation power; principles of reversible and irreversible flight control systems; servo actuation systems)
  • Landing Gear Systems (Configurations and geometries; analysis of landing gear systems with respect to damper dynamics, dynamics of the breaking aircraft and power consumption; design and analysis of breaking systems with respect to energy and heat; anti-skit systems)
  • Fuel Systems (Architectures; aviation fuels; system components; fueling system; tank inerting system; fuel management; trim tank)
  • De- and Anti-Ice Systems: (Atmospheric icing conditions; principles of de- and anti-ice systems)


Literature
  • Moir, Seabridge: Aircraft Systems
  • Torenbek: Synthesis of Subsonic Airplane Design
  • Curry: Aircraft Landing Gear Design: Principles and Practices


Course L0740: Flight Control Systems
Typ Recitation Section (large)
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 See interlocking course
Literature See interlocking course

Module M1616: Flight Control Laws: Design and Application

Courses
Title Typ Hrs/wk CP
Flight Control Law Design and Application (L2448) Lecture 2 4
Flight Control Law Design and Application (L2449) Project-/problem-based Learning 2 2
Module Responsible Prof. Frank Thielecke
Admission Requirements None
Recommended Previous Knowledge

Basic knowledge in:

  •  Mathematics (linear algebra and ordinary differential equations)
  •  Control Systems (transfer functions and state space representation)
  •  Mechanics (rigid-body kinetics)
  •  Flight mechanics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to:

  • Describe and understand flight dynamics models for control tasks
  • Assess handling qualities and understand the need for augmentation through control systems
  • Identify fundamental performance limitations of control laws
Skills

Students are able to:

  • Design model-based control laws for stability augmentation
  • Design model-based flight control laws
  • Assess robustness and performance of control laws
Personal Competence
Social Competence

Students are able to:

  • Design control laws in groups as well as discuss the requirements and results
Autonomy

Students are able to:

  • Reflect on the contents of lectures and extend their knowledge through literature research
  • Solve control design tasks with software tools
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes None Attestation Die in der Vorlesung vermittelten Kenntnisse werden in einem semesterbegleitenden Projekt direkt auf das Modell eines Passagierflugzeugs angewendet.
Examination Written exam
Examination duration and scale 60 min
Assignment for the Following Curricula Aircraft Systems Engineering: Core Qualification: Elective Compulsory
Aeronautics: Core Qualification: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Course L2448: Flight Control Law Design and Application
Typ Lecture
Hrs/wk 2
CP 4
Workload in Hours Independent Study Time 92, Study Time in Lecture 28
Lecturer Prof. Frank Thielecke
Language EN
Cycle SoSe
Content
  • Flight dynamics (equations of motion, trim and linearization, linear models of longitudinal and lateral-directional motion, eigenforms)
  • Stability augmentation (modal dynamics, damper design with root-loci, pole placement and eigenstructure assignment)
  • Primary flight control laws and autopilots
  • Design of flight control laws (loopshaping design, robustness criteria and analysis, cascaded control loops, gain-scheduling)
  • Verification of flight control laws in simulation
Literature
  • J. Theis: Lecture Notes Flight Control Law Design
  • D. Schmidt: Modern Flight Dynamics
  • B. Stevens, F. Lewis: Aircraft Control and Simulation
  • D. McGruer, D. Graham, I. Ashkenas: Aircraft Dynamics and Automatic Control
  • SAE Aerospace Standard 94900 - Flight Control Systems
  • The MathWorks: Control Systems Design Toolbox User Guide
Course L2449: Flight Control Law Design and Application
Typ Project-/problem-based Learning
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Frank Thielecke
Language EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1738: Selected Topics of Aeronautical Systems Engineering (Alternative B: 12 LP)

Courses
Title Typ Hrs/wk CP
Advanced Training Course SE-ZERT (L2739) Project-/problem-based Learning 2 3
Airline Operations (L1310) Lecture 3 3
Fatigue & Damage Tolerance (L0310) Lecture 2 3
Flight Guidance I (Introduction) (L0848) Lecture 2 2
Flight Guidance I (Introduction) (L0854) Recitation Section (large) 1 1
Flight Guidance II (Flight Control) (L2374) Lecture 2 2
Flight Guidance II (Flight Control) (L2375) Recitation Section (small) 1 1
Airport Operations (L1276) Lecture 3 3
Airport Planning (L1275) Lecture 2 2
Airport Planning (L1469) Recitation Section (small) 1 1
Lightweight Design Practical Course (L1258) Project-/problem-based Learning 3 3
Aviation Security (L1549) Lecture 2 2
Aviation Security (L1550) Recitation Section (small) 1 1
Aviation and Environment (L2376) Lecture 3 3
Machine Learning in Safety-Critical Cyber-Physical Systems (L2934) Lecture 2 2
Machine Learning in Safety-Critical Cyber-Physical Systems (L2935) Recitation Section (small) 1 1
Mechanisms and Systems of Materials Testing - from the viewpoint of product development and Failure Analysis (L0950) Lecture 2 2
Sustainable Industrial Production (L2863) Lecture 2 4
Turbo Jet Engines (L0908) Lecture 2 3
Structural Mechanics of Fibre Reinforced Composites (L1514) Lecture 2 3
Structural Mechanics of Fibre Reinforced Composites (L1515) Recitation Section (large) 1 1
Materials Testing - from the viewpoint of industrial application (L0949) Lecture 2 2
Reliability in Engineering Dynamics (L2994) Lecture 2 2
Reliability in Engineering Dynamics (L2995) Recitation Section (small) 1 2
Reliability of Aircraft Systems (L0749) Lecture 2 3
Module Responsible Prof. Frank Thielecke
Admission Requirements None
Recommended Previous Knowledge

Basic knowledge in:

  • Mathematics
  • Mechanics
  • Thermodynamics
  • Electrical Engineering
  • Hydraulics
  • Control Systems
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students are able to find their way through selected special areas within systems engineering, air transportation system and material science
  • Students are able to explain basic models and procedures in selected special areas.
  • Students are able to interrelate scientific and technical knowledge.
Skills

Students are able to apply basic methods in selected areas of engineering.

Personal Competence
Social Competence

Students are able to:

  • Develop joint solutions in mixed teams
  • Present and explain developed solutions in front of other students
  • Discuss developed solutions with experts
Autonomy

Students can chose independently, in which fields they want to deepen their knowledge and skills through the election of courses.

Workload in Hours Depends on choice of courses
Credit points 12
Assignment for the Following Curricula Aircraft Systems Engineering: Core Qualification: Elective Compulsory
Aeronautics: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Course L2739: Advanced Training Course SE-ZERT
Typ Project-/problem-based Learning
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 120 min
Lecturer Prof. Ralf God
Language DE
Cycle SoSe
Content
Literature

INCOSE Systems Engineering Handbuch - Ein Leitfaden für Systemlebenszyklus-Prozesse und -Aktivitäten, GfSE (Hrsg. der deutschen Übersetzung), ISBN 978-3-9818805-0-2.

ISO/IEC 15288 System- und Software-Engineering - System-Lebenszyklus-Prozesse (Systems and Software Engineering - System Life Cycle Processes).

Course L1310: Airline Operations
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Examination Form Klausur
Examination duration and scale 90 min
Lecturer Prof. Volker Gollnick, Dr. Karl Echtermeyer
Language DE
Cycle SoSe
Content
  1. Introdution and overview
  2. Airline business models
  3. Interdependencies in flight planning (network management, slot management, netzwork structures, aircraft circulation)
  4. Operative flight preparation (weight & balance, payload/range, etc.)
  5. fleet policy
  6. Aircraft assessment and fleet planning
  7. Airline organisation
  8. Aircraft maintenance, repair and overhaul
Literature

Volker Gollnick, Dieter Schmitt: The Air Transport System, Springer Berlin Heidelberg New York, 2014

Paul Clark: “Buying the Big Jets”, Ashgate 2008

Mike Hirst: The Air Transport System, AIAA, 2008

Course L0310: Fatigue & Damage Tolerance
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Mündliche Prüfung
Examination duration and scale 45 min
Lecturer Dr. Martin Flamm
Language EN
Cycle WiSe
Content Design principles, fatigue strength, crack initiation and crack growth, damage calculation, counting methods, methods to improve fatigue strength, environmental influences
Literature Jaap Schijve, Fatigue of Structures and Materials. Kluver Academic Puplisher, Dordrecht, 2001 E. Haibach. Betriebsfestigkeit Verfahren und Daten zur Bauteilberechnung. VDI-Verlag, Düsseldorf, 1989
Course L0848: Flight Guidance I (Introduction)
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 60 min
Lecturer Prof. Volker Gollnick
Language DE
Cycle WiSe
Content

Introduction and motivation Flight guidance principles (airspace structures, organization of air navigation services, etc.)

Cockpit systems and Avionics (cockpit design, cockpit equipment, displays, computers and bus systems)

Principles of flight measurement techniques (Measurement of position (geometric methods, distance measurement, direction measurement) Determination of the aircraft attitude (magnetic field- and inertial sensors) Measurement of speed

Principles of Navigation

Radio navigation

Satellite navigation

Airspace surveillance (radar systems)

Commuication systems

Integrated Navigation and Guidance Systems

Literature

Rudolf Brockhaus, Robert Luckner, Wolfgang Alles: "Flugregelung", Springer Berlin Heidelberg New York, 2011

Holger Flühr: "Avionik und Flugsicherungssysteme", Springer Berlin Heidelberg New York, 2013

Volker Gollnick, Dieter Schmitt "Air Transport Systems", Springer Berlin Heidelberg New York, 2016

R.P.G. Collinson „Introduction to Avionics”, Springer Berlin Heidelberg New York 2003

Course L0854: Flight Guidance I (Introduction)
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Examination Form Klausur
Examination duration and scale 60 min
Lecturer Prof. Volker Gollnick
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L2374: Flight Guidance II (Flight Control)
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 60 min
Lecturer Prof. Volker Gollnick
Language DE
Cycle SoSe
Content
Literature

Brockhaus, Alles, Luckner: Flugregelung, Springer Verlag, 2011

R.P.G Collinson: Introduction to Avionics Systems, Springer Verlag, 2011

Course L2375: Flight Guidance II (Flight Control)
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Examination Form Klausur
Examination duration and scale 60 min
Lecturer Prof. Volker Gollnick
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L1276: Airport Operations
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Examination Form Klausur
Examination duration and scale 90 min
Lecturer Prof. Volker Gollnick, Dr. Peter Willems
Language DE
Cycle WiSe
Content FA-F Flight Operations Flight Operations - Production Infrastructures Operations Planning Master plan Airport capacity Ground handling Terminal operations
Literature Richard de Neufville, Amedeo Odoni: Airport Systems, McGraw Hill, 2003
Course L1275: Airport Planning
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 60 min
Lecturer Prof. Volker Gollnick, Dr. Ulrich Häp
Language DE
Cycle WiSe
Content
  1. Introduction, definitions, overviewg
  2. Runway systems
  3. Air space strucutres around airports
  4. Airfield lightings, marking and information
  5. Airfield and terminal configuration
Literature

N. Ashford, Martin Stanton, Clifton Moore: Airport Operations, John Wiley & Sons, 1991

Richard de Neufville, Amedeo Odoni: Airport Systems, Aviation Week Books, MacGraw Hill, 2003



Course L1469: Airport Planning
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Examination Form Klausur
Examination duration and scale 60 min
Lecturer Prof. Volker Gollnick, Dr. Ulrich Häp
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L1258: Lightweight Design Practical Course
Typ Project-/problem-based Learning
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Examination Form Mündliche Prüfung
Examination duration and scale 30 min
Lecturer Prof. Dieter Krause
Language DE/EN
Cycle SoSe
Content

Development of a sandwich structure made of fibre reinforced plastics

  • getting familiar with fibre reinforced plastics as well as lightweight design
  • Design of a sandwich structure made of fibre reinforced plastics using finite element analysis (FEA)
  • Determination of material properties based on sample tests
  • manufacturing of the structure in the composite lab
  • Testing of the developed structure
  • Concept presentation
  • Self-organised teamwork
Literature
  • Schürmann, H., „Konstruieren mit Faser-Kunststoff-Verbunden“, Springer, Berlin, 2005.
  • Puck, A., „Festigkeitsanalsyse von Faser-Matrix-Laminaten“, Hanser, München, Wien, 1996.
  • R&G, „Handbuch Faserverbundwerkstoffe“, Waldenbuch, 2009.
  • VDI 2014 „Entwicklung von Bauteilen aus Faser-Kunststoff-Verbund“
  • Ehrenstein, G. W., „Faserverbundkunststoffe“, Hanser, München, 2006.
  • Klein, B., „Leichtbau-Konstruktion", Vieweg & Sohn, Braunschweig, 1989.
  • Wiedemann, J., „Leichtbau Band 1: Elemente“, Springer, Berlin, Heidelberg, 1986.
  • Wiedemann, J., „Leichtbau Band 2: Konstruktion“, Springer, Berlin, Heidelberg, 1986.
  • Backmann, B.F., „Composite Structures, Design, Safety and Innovation”, Oxford (UK), Elsevier, 2005.
  • 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.
Course L1549: Aviation Security
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 90 Minuten
Lecturer Prof. Ralf God
Language DE
Cycle WiSe
Content

The objective of the lecture with the corresponding exercise is the acquisition of knowledge about tasks and measures for protection against attacks on the security of the commercial air transport system. Tasks and measures will be elicited in the context of the three system components man, technology and organization.

The course teaches the basics of aviation security. Aviation security is a necessary prerequisite for an economically successful air transport system. Risk management for the entire system can only be successful in an integrated approach, considering man, technology and organization:
• Historical development 
• The special role of air transport 
• Motive and attack vectors 
• The human factor 
• Threats and risk 
• Regulations and law 
• Organization and implementation of aviation security tasks 
• Passenger and baggage checks 
• Cargo screening and secure supply chain 
• Safety technologies

Literature

- Skript zur Vorlesung
- Giemulla, E.M., Rothe B.R. (Hrsg.): Handbuch Luftsicherheit. Universitätsverlag TU Berlin, 2011
- Thomas, A.R. (Ed.): Aviation Security Management. Praeger Security International, 2008

Course L1550: Aviation Security
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Examination Form Klausur
Examination duration and scale 90 Minuten
Lecturer Prof. Ralf God
Language DE
Cycle WiSe
Content

The objective of the lecture with the corresponding exercise is the acquisition of knowledge about tasks and measures for protection against attacks on the security of the commercial air transport system. Tasks and measures will be elicited in the context of the three system components man, technology and organization.

The course teaches the basics of aviation security. Aviation security is a necessary prerequisite for an economically successful air transport system. Risk management for the entire system can only be successful in an integrated approach, considering man, technology and organization:
• Historical development 
• The special role of air transport 
• Motive and attack vectors 
• The human factor 
• Threats and risk 
• Regulations and law 
• Organization and implementation of aviation security tasks 
• Passenger and baggage checks 
• Cargo screening and secure supply chain 
• Safety technologies

Literature

- Skript zur Vorlesung

- Giemulla, E.M., Rothe B.R. (Hrsg.): Handbuch Luftsicherheit. Universitätsverlag TU Berlin, 2011

- Thomas, A.R. (Ed.): Aviation Security Management. Praeger Security International, 2008

Course L2376: Aviation and Environment
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Examination Form Klausur
Examination duration and scale 90 min
Lecturer Prof. Volker Gollnick
Language DE
Cycle SoSe
Content

The lecture provides the necessary basics and methods for understanding the interactions between air traffic and the environment, both in terms of the effects of weather / climate on flying and with regard to the effects of air traffic on pollutant emissions, noise and climate.

The following topics are covered:

  • Atmospheric physics / chemistry
    • Structure and statics
    • Dynamics (water cycle, formation of weather events, high and low pressure areas, wind, gusts and turbulence)
    • Cloud physics (thermodynamics, contrails)
    • Radiation physics (energy balance, greenhouse effect)
    • Photochemistry (ozone chemistry)
  • Impact of weather on flying
    • Atmospheric influences on flight performance
    • Flight planning
    • Disturbances due to weather, e.g. thunderstorms, winter weather (icing), clear air turbulence, visibility
    • Effects of climate change and adaptation
  • Effects of air traffic on the environment and climate
    • Aviation pollutant emissions
    • Effect of emissions on concentrations in the atmosphere
    • Climate metrics / models and background scenarios
    • Emissions inventories
  • Mitigation measures
    • Technological measures, e.g. climate-optimized aircraft design
    • Alternative fuels
    • Operational measures, e.g. climate-optimized flight planning
    • Environmental policy measures, e.g. EU-ETS, CORSIA
    • Potentials and comparison, concept of eco-efficiency
  • Local environmental impacts
    • Local air quality (particulate matter, other emissions near the ground)
    • Noise (noise sources, noise metrics, noise impact, measurement, certification, psychoacoustics, noise mitigation)
    • Health effects
  • Aspects of sustainability
    • Other aspects, including life cycle emissions, disposal/recycling
    • Relation to global goals, e.g. United Nations goals for sustainable development, Paris climate agreement


Literature
  • Ruijgrok, G.: Elements of Aircraft Pollution, Delft University Press, 2005
  • Friedrich, R., Reis, S.: Emissions of Air Pollutants, Springer 2004
  • Janic, M.: The Sustainability of Air Transportation, Ashgate, 2007
  • Schumann, U. (ed.): Atmospheric Physics: Background - Methods - Trends, Springer, Berlin, Heidelberg, 2012
  • Spiridonov, V., Curic, M.: Fundamentals of Meteorology, Springer, 2021
  • Kaltschmitt, M., Neuling, U.: Biokerosene - Status and Prospects, Springer, 2018
  • Roedel, W., Wagner, T.: Physik unserer Umwelt: Die Atmosphäre, Springer, 2017
  • W. Bräunling: Flugzeugtriebwerke. Springer-Verlag Berlin, Deutschland, 2009
  • G. Brüning, X. Hafer, G. Sachs: Flugleistungen, Springer, 1993
Course L2934: Machine Learning in Safety-Critical Cyber-Physical Systems
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Schriftliche Ausarbeitung
Examination duration and scale 90 min
Lecturer Prof. Ralf God
Language DE
Cycle WiSe
Content

The use of machine learning enables many highly complex applications, for example in autonomous systems. However, the application in safety-critical systems offers special challenges and makes special demands on the development.

The course teaches the necessary basics and methods in the context of systems engineering for the use of data science, machine learning and AI in safety-critical systems. In addition, current areas of application and the current state of research are discussed.

The following topics will be dealt with in detail:

  • Introduction and motivation
    • Safety-critical cyber-physical systems and systems of systems
    • Methods of modelling in systems engineering
    • Challenges in the use of machine learning in safety-critical systems
  • Systems engineering and safety-critical systems
    • Safety and machine learning
    • Machine learning lifecycle
    • Methods
    • Data set optimization
    • Robust learning
    • Quantification of uncertainty
    • Adversarial attacks
    • Interpretability
    • Securing the overall system
  • The latest from research
Literature

- J. Holt, S. A. Perry, M. Brownsword. Model-Based Requirements Engineering. Institution Engineering & Tech, 2011.
- S. Houben et al. Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety. arXiv, 2021.
- A. Schwaiger. Machine Learning in sicherheitskritischen Systemen. Embedded Software Engineering Kongress, 2020.
- A. Pereira, C. Thomas. Challenges of Machine Learning Applied to Safety-Critical Cyber-Physical Systems. Mach. Learn. Knowl. Extr., 2, 579-602, 2020.

Course L2935: Machine Learning in Safety-Critical Cyber-Physical Systems
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Examination Form Schriftliche Ausarbeitung
Examination duration and scale 90 min
Lecturer Prof. Ralf God
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L0950: Mechanisms and Systems of Materials Testing - from the viewpoint of product development and Failure Analysis
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 90 Minuten
Lecturer Dr. Jan Oke Peters
Language DE
Cycle SoSe
Content

Application, analysis and discussion of basic and advanced testing methods to ensure correct selection of applicable testing procedure for investigation of part/materials deficiencies

  • Stress-strain relationships
  • Strain gauge application
  • Visko elastic behavior
  • Tensile test (strain hardening, necking, strain rate)
  • Compression test, bending test, torsion test
  • Crack growth upon static loading (J-Integral)                                
  • Crack growth upon cyclic loading (micro- und macro cracks)
  • Effect of notches
  • Creep testing (physical creep test, influence of stress and temperature, Larson Miller parameter)
  • Wear testing
  • Non destructive testing application for overhaul of jet engines
Literature
  • E. Macherauch: Praktikum in Werkstoffkunde, Vieweg
  • G. E. Dieter: Mechanical Metallurgy, McGraw-Hill            
  • R. Bürgel: Lehr- und Übungsbuch Festigkeitslehre, Vieweg                        
  • R. Bürgel: Werkstoffe sícher beurteilen und richtig einsetzen, Vieweg
Course L2863: Sustainable Industrial Production
Typ Lecture
Hrs/wk 2
CP 4
Workload in Hours Independent Study Time 92, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 60 min
Lecturer Dr. Simon Markus Kothe
Language DE
Cycle SoSe
Content

Industrial production deals with the manufacture of physical products to satisfy human needs using various manufacturing processes that change the form and physical properties of raw materials. Manufacturing is a central driver of economic development and has a major impact on the well-being of humanity. However, the scale of current manufacturing activities results in enormous global energy and material demands that are harmful to both the environment and people. Historically, industrial activities were mostly oriented towards economic constraints, while social and environmental consequences were only hardly considered. As a result, today's global consumption rates of many resources and associated emissions often exceed the natural regeneration rate of our planet. In this respect, current industrial production can mostly be described as unsustainable. This is emphasized each year by the Earth Overshoot Day, which marks the day when humanity's ecological footprint exceeds the Earth's annual regenerative capacity. 

This lecture aims to provide the motivation, analytical methods as well as approaches for sustainable industrial production and to clarify the influence of the production phase in relation to the raw material, use and recycling phases in the entire life cycle of products. For this, the following topics will be highlighted:

- Motivation for sustainable production, the 17 Sustainable Development Goals (SDGs) of the UN and their relevance for tomorrow's manufacturing;

- raw material vs. production phase vs. use phase vs. recycling/end-of-life phase: importance of the production phase for the environmental impact of manufactured products;

- Typical energy- and resource-intensive processes in industrial production and innovative approaches to increase energy and resource efficiency;

- Methodology for optimizing the energy and resource efficiency of industrial manufacturing chains with the three steps of modeling (1), evaluating (2) and improving (3);

- Resource efficiency of industrial manufacturing value chains and its assessment using life cycle analysis (LCA);

- Exercise: LCA analysis of a manufacturing process (thermoplastic joining of an aircraft fuselage segment) as part of a product life cycle assessment.


Literature

Literatur:

- Stefan Alexander (2020): Resource efficiency in manufacturing value chains. Cham: Springer International Publishing.

- Hauschild, Michael Z.; Rosenbaum, Ralph K.; Olsen, Stig Irving (Hg.) (2018): Life Cycle Assessment. Theory and Practice. Cham: Springer International Publishing.

- Kishita, Yusuke; Matsumoto, Mitsutaka; Inoue, Masato; Fukushige, Shinichi (2021): EcoDesign and sustainability. Singapore: Springer.

- Schebek, Liselotte; Herrmann, Christoph; Cerdas, Felipe (2019): Progress in Life Cycle Assessment. Cham: Springer International Publishing.

- Thiede, Sebastian; Hermann, Christoph (2019): Eco-factories of the future. Cham: Springer Nature Switzerland AG.

- Vorlesungsskript.

Course L0908: Turbo Jet Engines
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Mündliche Prüfung
Examination duration and scale 45 min
Lecturer Dr. Burkhard Andrich
Language DE
Cycle WiSe
Content
  • Cycle of the gas turbine
  • Thermodynamics of gas turbine components
  • Wing-, grid- and stage-sizing
  • Operating characteristics of gas turbine components
  • Sizing criteria’s for jet engines
  • Development trends of gas turbines and jet engines
  • Maintenance of jet engines


Literature
  • Bräunling: Flugzeugtriebwerke
  • Engmann: Technologie des Fliegens
  • Kerrebrock: Aircraft Engines and Gas Turbines


Course L1514: Structural Mechanics of Fibre Reinforced Composites
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Mündliche Prüfung
Examination duration and scale 30 min
Lecturer Prof. Benedikt Kriegesmann
Language EN
Cycle WiSe
Content

Classical laminate theory

Rules of mixture

Failure mechanisms and criteria of composites

Boundary value problems of isotropic and anisotropic shells

Stability of composite structures

Optimization of laminated composites

Modelling composites in FEM

Numerical multiscale analysis of textile composites   

Progressive failure analysis   

Literature
  • Schürmann, H., „Konstruieren mit Faser-Kunststoff-Verbunden“, Springer, Berlin, aktuelle Auflage.
  • Wiedemann, J., „Leichtbau Band 1: Elemente“, Springer, Berlin, Heidelberg, , aktuelle Auflage.
  • Reddy, J.N., „Mechanics of Composite Laminated Plates and Shells”, CRC Publishing, Boca Raton et al., current edition.
  • Jones, R.M., „Mechanics of Composite Materials“, Scripta Book Co., Washington, current edition.
  • Timoshenko, S.P., Gere, J.M., „Theory of elastic stability“, McGraw-Hill Book Company, Inc., New York, current edition.
  • Turvey, G.J., Marshall, I.H., „Buckling and postbuckling of composite plates“, Chapman and Hall, London, current edition.
  • Herakovich, C.T., „Mechanics of fibrous composites“, John Wiley and Sons, Inc., New York, current edition.
  • Mittelstedt, C., Becker, W., „Strukturmechanik ebener Laminate”, aktuelle Auflage.
Course L1515: Structural Mechanics of Fibre Reinforced Composites
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Examination Form Mündliche Prüfung
Examination duration and scale 30 min
Lecturer Prof. Benedikt Kriegesmann
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L0949: Materials Testing - from the viewpoint of industrial application
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 90 Minuten
Lecturer Dr. Jan Oke Peters
Language DE
Cycle WiSe
Content


Application and analysis of basic mechanical as well as non-destructive testing of materials  

  • Determination elastic constants                                                                                                                    
  • Tensile test
  • Fatigue test (testing with constant stress, strain, or plastiv strain amplitude, low and high cycle fatigue, mean stress effect)
  • Crack growth upon static loading (stress intensity factor, fracture toughness)
  • Creep test
  • Hardness test
  • Charpy impact test
  • Non destructive testing
Literature

E. Macherauch: Praktikum in Werkstoffkunde, Vieweg
G. E. Dieter: Mechanical Metallurgy, McGraw-Hill

Course L2994: Reliability in Engineering Dynamics
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 90 min
Lecturer Dr. Eric Groß, Prof. Benedikt Kriegesmann
Language EN
Cycle SoSe
Content

Method for calculation and testing of reliability of dynamic machine systems

Modeling

System identification

Simulation

Processing of measurement data

Damage accumulation

Test planning and execution

Literature

Bertsche, B.: Reliability in Automotive and Mechanical Engineering. Springer, 2008. ISBN: 978-3-540-33969-4

Inman, Daniel J.: Engineering Vibration. Prentice Hall, 3rd Ed., 2007. ISBN-13: 978-0132281737

Dresig, H., Holzweißig, F.: Maschinendynamik, Springer Verlag, 9. Auflage, 2009. ISBN 3540876936.

VDA (Hg.): Zuverlässigkeitssicherung bei Automobilherstellern und Lieferanten. Band 3 Teil 2, 3. überarbeitete Auflage, 2004. ISSN 0943-9412

Course L2995: Reliability in Engineering Dynamics
Typ Recitation Section (small)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Examination Form Klausur
Examination duration and scale 90 min
Lecturer Prof. Benedikt Kriegesmann, Dr. Eric Groß
Language EN
Cycle SoSe
Content

Method for calculation and testing of reliability of dynamic machine systems

Modeling

System identification

Simulation

Processing of measurement data

Damage accumulation

Test planning and execution

Literature

Bertsche, B.: Reliability in Automotive and Mechanical Engineering. Springer, 2008. ISBN: 978-3-540-33969-4

Inman, Daniel J.: Engineering Vibration. Prentice Hall, 3rd Ed., 2007. ISBN-13: 978-0132281737

Dresig, H., Holzweißig, F.: Maschinendynamik, Springer Verlag, 9. Auflage, 2009. ISBN 3540876936.

VDA (Hg.): Zuverlässigkeitssicherung bei Automobilherstellern und Lieferanten. Band 3 Teil 2, 3. überarbeitete Auflage, 2004. ISSN 0943-9412

Course L0749: Reliability of Aircraft Systems
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 90 Minuten
Lecturer Prof. Frank Thielecke, Dr. Andreas Vahl, Dr. Uwe Wieczorek
Language DE
Cycle WiSe
Content
  • Functions of reliability and safety (regulations, certification requirements)
  • Basics methods of reliability analysis (FMEA, fault tree, functional hazard assessment)
  • Reliability analysis of electrical and mechanical systems


Literature
  • CS 25.1309
  • SAE ARP 4754
  • SAE ARP 4761

Module M1193: Cabin Systems Engineering

Courses
Title Typ Hrs/wk CP
Computer and communication technology in cabin electronics and avionics (L1557) Lecture 2 2
Computer and communication technology in cabin electronics and avionics (L1558) Recitation Section (small) 1 1
Model-Based Systems Engineering (MBSE) with SysML/UML (L1551) Project-/problem-based Learning 3 3
Module Responsible Prof. Ralf God
Admission Requirements None
Recommended Previous Knowledge

Basic knowledge in:
• Mathematics
• Mechanics
• Thermodynamics
• Electrical Engineering
• Control Systems

Previous knowledge in:
• Systems Engineering

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

Students are able to:
• describe the structure and operation of computer architectures
• explain the structure and operation of digital communication Networks
• explain architectures of cabin electronics, integrated modular avionics (IMA) and Aircraft Data Communication Network (ADCN)
• understand the approach of Model-Based Systems Engineering (MBSE) in the design of hardware and software-based cabin systems

Skills

Students are able to:
• understand, operate and maintain a Minicomputer
• build up a network communication and communicate with other network participants
• connect a minicomputer with a cabin management system (A380 CIDS) and communicate over a AFDX®-Network
• model system functions by means of formal languages SysML/UML and generate software code from the models
• execute software code on a minicomputer

Personal Competence
Social Competence

Students are able to:
• form teams of two or small groups for the practical work 
• work out partial results themselves and combine them with others to form an overall solution
• represent and contribute their own solution
• take over the guidance of the team
• contribute in the team

Autonomy

Students are able to:
• organize and plan their practical tasks
• further develop their own skills
• take their own initiative
• explore their own new ways of solving problems

Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 minutes
Assignment for the Following Curricula Aircraft Systems Engineering: Core Qualification: Elective Compulsory
International Management and Engineering: Specialisation II. Aviation Systems: Elective Compulsory
Aeronautics: Core Qualification: Elective Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Course L1557: Computer and communication technology in cabin electronics and avionics
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Ralf God
Language DE
Cycle WiSe
Content

The objective of the lecture with the corresponding exercise is the acquisition of knowledge of computer and communication technology in electronic systems in the cabin and in aircraft. For the system engineer the strong interaction of software, mechanical and electronic system components nowadays requires a basic understanding of cabin electronics and avionics.

The course teaches the basics of design and functionality of computers and data networks. Subsequently it focuses on current principles and applications in integrated modular avionics (IMA), aircraft data communication networks (ADCN), cabin electronics and cabin networks:
• History of computer and network technology 
• Layer model in computer technology
• Computer architectures (PC, IPC, Embedded Systems)
• BIOS, UEFI and operating system (OS)
• Programming languages (machine code and high-level languages)
• Applications and Application Programming Interfaces
• External interfaces (serial, USB, Ethernet)
• Layer model in network technology
• Network topologies
• Network components
• Bus access procedures
• Integrated Modular Avionics (IMA) and Aircraft Data Communication Networks (ADCN)
• Cabin electronics and cabin networks

Literature

- Skript zur Vorlesung
- Schnabel, P.: Computertechnik-Fibel: Grundlagen Computertechnik, Mikroprozessortechnik, Halbleiterspeicher, Schnittstellen und Peripherie. Books on Demand; 1. Auflage, 2003
- Schnabel, P.: Netzwerktechnik-Fibel: Grundlagen, Übertragungstechnik und Protokolle, Anwendungen und Dienste, Sicherheit. Books on Demand; 1. Auflage, 2004
- Wüst, K.: Mikroprozessortechnik: Grundlagen, Architekturen und Programmierung von Mikroprozessoren, Mikrocontrollern und Signalprozessoren. Vieweg Verlag; 2. aktualisierte und erweiterte Auflage, 2006 

Course L1558: Computer and communication technology in cabin electronics and avionics
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Ralf God
Language DE
Cycle WiSe
Content

The objective of the lecture with the corresponding exercise is the acquisition of knowledge of computer and communication technology in electronic systems in the cabin and in aircraft. For the system engineer the strong interaction of software, mechanical and electronic system components nowadays requires a basic understanding of cabin electronics and avionics.

The course teaches the basics of design and functionality of computers and data networks. Subsequently it focuses on current principles and applications in integrated modular avionics (IMA), aircraft data communication networks (ADCN), cabin electronics and cabin networks:
• History of computer and network technology 
• Layer model in computer technology
• Computer architectures (PC, IPC, Embedded Systems)
• BIOS, UEFI and operating system (OS)
• Programming languages (machine code and high-level languages)
• Applications and Application Programming Interfaces
• External interfaces (serial, USB, Ethernet)
• Layer model in network technology
• Network topologies
• Network components
• Bus access procedures
• Integrated Modular Avionics (IMA) and Aircraft Data Communication Networks (ADCN)
• Cabin electronics and cabin networks

Literature

- Skript zur Vorlesung
- Schnabel, P.: Computertechnik-Fibel: Grundlagen Computertechnik, Mikroprozessortechnik, Halbleiterspeicher, Schnittstellen und Peripherie. Books on Demand; 1. Auflage, 2003
- Schnabel, P.: Netzwerktechnik-Fibel: Grundlagen, Übertragungstechnik und Protokolle, Anwendungen und Dienste, Sicherheit. Books on Demand; 1. Auflage, 2004
- Wüst, K.: Mikroprozessortechnik: Grundlagen, Architekturen und Programmierung von Mikroprozessoren, Mikrocontrollern und Signalprozessoren. Vieweg Verlag; 2. aktualisierte und erweiterte Auflage, 2006 

Course L1551: Model-Based Systems Engineering (MBSE) with SysML/UML
Typ Project-/problem-based Learning
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Ralf God
Language DE
Cycle SoSe
Content

Objectives of the problem-oriented course are the acquisition of knowledge on system design using the formal languages SysML/UML, learning about tools for modeling and finally the implementation of a project with methods and tools of Model-Based Systems Engineering (MBSE) on a realistic hardware platform (e.g. Arduino®, Raspberry Pi®):
• What is a model? 
• What is Systems Engineering? 
• Survey of MBSE methodologies
• The modelling languages SysML /UML 
• Tools for MBSE 
• Best practices for MBSE 
• Requirements specification, functional architecture, specification of a solution
• From model to software code 
• Validation and verification: XiL methods
• Accompanying MBSE project

Literature

- Skript zur Vorlesung
- Weilkiens, T.: Systems Engineering mit SysML/UML: Modellierung, Analyse, Design. 2. Auflage, dpunkt.Verlag, 2008
- Holt, J., Perry, S.A., Brownsword, M.: Model-Based Requirements Engineering. Institution Engineering & Tech, 2011


Module M1744: Selected Topics of Aeronautical Systems Engineering (Alternative A: 6 LP)

Courses
Title Typ Hrs/wk CP
Advanced Training Course SE-ZERT (L2739) Project-/problem-based Learning 2 3
Airline Operations (L1310) Lecture 3 3
Fatigue & Damage Tolerance (L0310) Lecture 2 3
Flight Guidance I (Introduction) (L0848) Lecture 2 2
Flight Guidance I (Introduction) (L0854) Recitation Section (large) 1 1
Flight Guidance II (Flight Control) (L2374) Lecture 2 2
Flight Guidance II (Flight Control) (L2375) Recitation Section (small) 1 1
Airport Operations (L1276) Lecture 3 3
Airport Planning (L1275) Lecture 2 2
Airport Planning (L1469) Recitation Section (small) 1 1
Lightweight Design Practical Course (L1258) Project-/problem-based Learning 3 3
Aviation Security (L1549) Lecture 2 2
Aviation Security (L1550) Recitation Section (small) 1 1
Aviation and Environment (L2376) Lecture 3 3
Machine Learning in Safety-Critical Cyber-Physical Systems (L2934) Lecture 2 2
Machine Learning in Safety-Critical Cyber-Physical Systems (L2935) Recitation Section (small) 1 1
Mechanisms and Systems of Materials Testing - from the viewpoint of product development and Failure Analysis (L0950) Lecture 2 2
Multi Disciplinary Optimization in Aircraft Design (L2809) Lecture 3 3
Sustainable Industrial Production (L2863) Lecture 2 4
Turbo Jet Engines (L0908) Lecture 2 3
Structural Mechanics of Fibre Reinforced Composites (L1514) Lecture 2 3
Structural Mechanics of Fibre Reinforced Composites (L1515) Recitation Section (large) 1 1
Materials Testing - from the viewpoint of industrial application (L0949) Lecture 2 2
Reliability in Engineering Dynamics (L2994) Lecture 2 2
Reliability in Engineering Dynamics (L2995) Recitation Section (small) 1 2
Reliability of Aircraft Systems (L0749) Lecture 2 3
Module Responsible Prof. Frank Thielecke
Admission Requirements None
Recommended Previous Knowledge

Basic knowledge in:

  • Mathematics
  • Mechanics
  • Thermodynamics
  • Electrical Engineering
  • Hydraulics
  • Control Systems
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students are able to find their way through selected special areas within systems engineering, air transportation system and material science 
  • Students are able to explain basic models and procedures in selected special areas.
  • Students are able to interrelate scientific and technical knowledge.
Skills

Students are able to apply basic methods in selected areas of engineering.

Personal Competence
Social Competence

Students are able to:

  • Develop joint solutions in mixed teams
  • Present and explain developed solutions in front of other students
  • Discuss developed solutions with experts


Autonomy

Students can chose independently, in which fields they want to deepen their knowledge and skills through the election of courses.

Workload in Hours Depends on choice of courses
Credit points 6
Assignment for the Following Curricula Aircraft Systems Engineering: Core Qualification: Elective Compulsory
Aeronautics: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Course L2739: Advanced Training Course SE-ZERT
Typ Project-/problem-based Learning
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 120 min
Lecturer Prof. Ralf God
Language DE
Cycle SoSe
Content
Literature

INCOSE Systems Engineering Handbuch - Ein Leitfaden für Systemlebenszyklus-Prozesse und -Aktivitäten, GfSE (Hrsg. der deutschen Übersetzung), ISBN 978-3-9818805-0-2.

ISO/IEC 15288 System- und Software-Engineering - System-Lebenszyklus-Prozesse (Systems and Software Engineering - System Life Cycle Processes).

Course L1310: Airline Operations
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Examination Form Klausur
Examination duration and scale 90 min
Lecturer Prof. Volker Gollnick, Dr. Karl Echtermeyer
Language DE
Cycle SoSe
Content
  1. Introdution and overview
  2. Airline business models
  3. Interdependencies in flight planning (network management, slot management, netzwork structures, aircraft circulation)
  4. Operative flight preparation (weight & balance, payload/range, etc.)
  5. fleet policy
  6. Aircraft assessment and fleet planning
  7. Airline organisation
  8. Aircraft maintenance, repair and overhaul
Literature

Volker Gollnick, Dieter Schmitt: The Air Transport System, Springer Berlin Heidelberg New York, 2014

Paul Clark: “Buying the Big Jets”, Ashgate 2008

Mike Hirst: The Air Transport System, AIAA, 2008

Course L0310: Fatigue & Damage Tolerance
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Mündliche Prüfung
Examination duration and scale 45 min
Lecturer Dr. Martin Flamm
Language EN
Cycle WiSe
Content Design principles, fatigue strength, crack initiation and crack growth, damage calculation, counting methods, methods to improve fatigue strength, environmental influences
Literature Jaap Schijve, Fatigue of Structures and Materials. Kluver Academic Puplisher, Dordrecht, 2001 E. Haibach. Betriebsfestigkeit Verfahren und Daten zur Bauteilberechnung. VDI-Verlag, Düsseldorf, 1989
Course L0848: Flight Guidance I (Introduction)
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 60 min
Lecturer Prof. Volker Gollnick
Language DE
Cycle WiSe
Content

Introduction and motivation Flight guidance principles (airspace structures, organization of air navigation services, etc.)

Cockpit systems and Avionics (cockpit design, cockpit equipment, displays, computers and bus systems)

Principles of flight measurement techniques (Measurement of position (geometric methods, distance measurement, direction measurement) Determination of the aircraft attitude (magnetic field- and inertial sensors) Measurement of speed

Principles of Navigation

Radio navigation

Satellite navigation

Airspace surveillance (radar systems)

Commuication systems

Integrated Navigation and Guidance Systems

Literature

Rudolf Brockhaus, Robert Luckner, Wolfgang Alles: "Flugregelung", Springer Berlin Heidelberg New York, 2011

Holger Flühr: "Avionik und Flugsicherungssysteme", Springer Berlin Heidelberg New York, 2013

Volker Gollnick, Dieter Schmitt "Air Transport Systems", Springer Berlin Heidelberg New York, 2016

R.P.G. Collinson „Introduction to Avionics”, Springer Berlin Heidelberg New York 2003

Course L0854: Flight Guidance I (Introduction)
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Examination Form Klausur
Examination duration and scale 60 min
Lecturer Prof. Volker Gollnick
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L2374: Flight Guidance II (Flight Control)
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 60 min
Lecturer Prof. Volker Gollnick
Language DE
Cycle SoSe
Content
Literature

Brockhaus, Alles, Luckner: Flugregelung, Springer Verlag, 2011

R.P.G Collinson: Introduction to Avionics Systems, Springer Verlag, 2011

Course L2375: Flight Guidance II (Flight Control)
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Examination Form Klausur
Examination duration and scale 60 min
Lecturer Prof. Volker Gollnick
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L1276: Airport Operations
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Examination Form Klausur
Examination duration and scale 90 min
Lecturer Prof. Volker Gollnick, Dr. Peter Willems
Language DE
Cycle WiSe
Content FA-F Flight Operations Flight Operations - Production Infrastructures Operations Planning Master plan Airport capacity Ground handling Terminal operations
Literature Richard de Neufville, Amedeo Odoni: Airport Systems, McGraw Hill, 2003
Course L1275: Airport Planning
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 60 min
Lecturer Prof. Volker Gollnick, Dr. Ulrich Häp
Language DE
Cycle WiSe
Content
  1. Introduction, definitions, overviewg
  2. Runway systems
  3. Air space strucutres around airports
  4. Airfield lightings, marking and information
  5. Airfield and terminal configuration
Literature

N. Ashford, Martin Stanton, Clifton Moore: Airport Operations, John Wiley & Sons, 1991

Richard de Neufville, Amedeo Odoni: Airport Systems, Aviation Week Books, MacGraw Hill, 2003



Course L1469: Airport Planning
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Examination Form Klausur
Examination duration and scale 60 min
Lecturer Prof. Volker Gollnick, Dr. Ulrich Häp
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L1258: Lightweight Design Practical Course
Typ Project-/problem-based Learning
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Examination Form Mündliche Prüfung
Examination duration and scale 30 min
Lecturer Prof. Dieter Krause
Language DE/EN
Cycle SoSe
Content

Development of a sandwich structure made of fibre reinforced plastics

  • getting familiar with fibre reinforced plastics as well as lightweight design
  • Design of a sandwich structure made of fibre reinforced plastics using finite element analysis (FEA)
  • Determination of material properties based on sample tests
  • manufacturing of the structure in the composite lab
  • Testing of the developed structure
  • Concept presentation
  • Self-organised teamwork
Literature
  • Schürmann, H., „Konstruieren mit Faser-Kunststoff-Verbunden“, Springer, Berlin, 2005.
  • Puck, A., „Festigkeitsanalsyse von Faser-Matrix-Laminaten“, Hanser, München, Wien, 1996.
  • R&G, „Handbuch Faserverbundwerkstoffe“, Waldenbuch, 2009.
  • VDI 2014 „Entwicklung von Bauteilen aus Faser-Kunststoff-Verbund“
  • Ehrenstein, G. W., „Faserverbundkunststoffe“, Hanser, München, 2006.
  • Klein, B., „Leichtbau-Konstruktion", Vieweg & Sohn, Braunschweig, 1989.
  • Wiedemann, J., „Leichtbau Band 1: Elemente“, Springer, Berlin, Heidelberg, 1986.
  • Wiedemann, J., „Leichtbau Band 2: Konstruktion“, Springer, Berlin, Heidelberg, 1986.
  • Backmann, B.F., „Composite Structures, Design, Safety and Innovation”, Oxford (UK), Elsevier, 2005.
  • 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.
Course L1549: Aviation Security
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 90 Minuten
Lecturer Prof. Ralf God
Language DE
Cycle WiSe
Content

The objective of the lecture with the corresponding exercise is the acquisition of knowledge about tasks and measures for protection against attacks on the security of the commercial air transport system. Tasks and measures will be elicited in the context of the three system components man, technology and organization.

The course teaches the basics of aviation security. Aviation security is a necessary prerequisite for an economically successful air transport system. Risk management for the entire system can only be successful in an integrated approach, considering man, technology and organization:
• Historical development 
• The special role of air transport 
• Motive and attack vectors 
• The human factor 
• Threats and risk 
• Regulations and law 
• Organization and implementation of aviation security tasks 
• Passenger and baggage checks 
• Cargo screening and secure supply chain 
• Safety technologies

Literature

- Skript zur Vorlesung
- Giemulla, E.M., Rothe B.R. (Hrsg.): Handbuch Luftsicherheit. Universitätsverlag TU Berlin, 2011
- Thomas, A.R. (Ed.): Aviation Security Management. Praeger Security International, 2008

Course L1550: Aviation Security
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Examination Form Klausur
Examination duration and scale 90 Minuten
Lecturer Prof. Ralf God
Language DE
Cycle WiSe
Content

The objective of the lecture with the corresponding exercise is the acquisition of knowledge about tasks and measures for protection against attacks on the security of the commercial air transport system. Tasks and measures will be elicited in the context of the three system components man, technology and organization.

The course teaches the basics of aviation security. Aviation security is a necessary prerequisite for an economically successful air transport system. Risk management for the entire system can only be successful in an integrated approach, considering man, technology and organization:
• Historical development 
• The special role of air transport 
• Motive and attack vectors 
• The human factor 
• Threats and risk 
• Regulations and law 
• Organization and implementation of aviation security tasks 
• Passenger and baggage checks 
• Cargo screening and secure supply chain 
• Safety technologies

Literature

- Skript zur Vorlesung

- Giemulla, E.M., Rothe B.R. (Hrsg.): Handbuch Luftsicherheit. Universitätsverlag TU Berlin, 2011

- Thomas, A.R. (Ed.): Aviation Security Management. Praeger Security International, 2008

Course L2376: Aviation and Environment
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Examination Form Klausur
Examination duration and scale 90 min
Lecturer Prof. Volker Gollnick
Language DE
Cycle SoSe
Content

The lecture provides the necessary basics and methods for understanding the interactions between air traffic and the environment, both in terms of the effects of weather / climate on flying and with regard to the effects of air traffic on pollutant emissions, noise and climate.

The following topics are covered:

  • Atmospheric physics / chemistry
    • Structure and statics
    • Dynamics (water cycle, formation of weather events, high and low pressure areas, wind, gusts and turbulence)
    • Cloud physics (thermodynamics, contrails)
    • Radiation physics (energy balance, greenhouse effect)
    • Photochemistry (ozone chemistry)
  • Impact of weather on flying
    • Atmospheric influences on flight performance
    • Flight planning
    • Disturbances due to weather, e.g. thunderstorms, winter weather (icing), clear air turbulence, visibility
    • Effects of climate change and adaptation
  • Effects of air traffic on the environment and climate
    • Aviation pollutant emissions
    • Effect of emissions on concentrations in the atmosphere
    • Climate metrics / models and background scenarios
    • Emissions inventories
  • Mitigation measures
    • Technological measures, e.g. climate-optimized aircraft design
    • Alternative fuels
    • Operational measures, e.g. climate-optimized flight planning
    • Environmental policy measures, e.g. EU-ETS, CORSIA
    • Potentials and comparison, concept of eco-efficiency
  • Local environmental impacts
    • Local air quality (particulate matter, other emissions near the ground)
    • Noise (noise sources, noise metrics, noise impact, measurement, certification, psychoacoustics, noise mitigation)
    • Health effects
  • Aspects of sustainability
    • Other aspects, including life cycle emissions, disposal/recycling
    • Relation to global goals, e.g. United Nations goals for sustainable development, Paris climate agreement


Literature
  • Ruijgrok, G.: Elements of Aircraft Pollution, Delft University Press, 2005
  • Friedrich, R., Reis, S.: Emissions of Air Pollutants, Springer 2004
  • Janic, M.: The Sustainability of Air Transportation, Ashgate, 2007
  • Schumann, U. (ed.): Atmospheric Physics: Background - Methods - Trends, Springer, Berlin, Heidelberg, 2012
  • Spiridonov, V., Curic, M.: Fundamentals of Meteorology, Springer, 2021
  • Kaltschmitt, M., Neuling, U.: Biokerosene - Status and Prospects, Springer, 2018
  • Roedel, W., Wagner, T.: Physik unserer Umwelt: Die Atmosphäre, Springer, 2017
  • W. Bräunling: Flugzeugtriebwerke. Springer-Verlag Berlin, Deutschland, 2009
  • G. Brüning, X. Hafer, G. Sachs: Flugleistungen, Springer, 1993
Course L2934: Machine Learning in Safety-Critical Cyber-Physical Systems
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Schriftliche Ausarbeitung
Examination duration and scale 90 min
Lecturer Prof. Ralf God
Language DE
Cycle WiSe
Content

The use of machine learning enables many highly complex applications, for example in autonomous systems. However, the application in safety-critical systems offers special challenges and makes special demands on the development.

The course teaches the necessary basics and methods in the context of systems engineering for the use of data science, machine learning and AI in safety-critical systems. In addition, current areas of application and the current state of research are discussed.

The following topics will be dealt with in detail:

  • Introduction and motivation
    • Safety-critical cyber-physical systems and systems of systems
    • Methods of modelling in systems engineering
    • Challenges in the use of machine learning in safety-critical systems
  • Systems engineering and safety-critical systems
    • Safety and machine learning
    • Machine learning lifecycle
    • Methods
    • Data set optimization
    • Robust learning
    • Quantification of uncertainty
    • Adversarial attacks
    • Interpretability
    • Securing the overall system
  • The latest from research
Literature

- J. Holt, S. A. Perry, M. Brownsword. Model-Based Requirements Engineering. Institution Engineering & Tech, 2011.
- S. Houben et al. Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety. arXiv, 2021.
- A. Schwaiger. Machine Learning in sicherheitskritischen Systemen. Embedded Software Engineering Kongress, 2020.
- A. Pereira, C. Thomas. Challenges of Machine Learning Applied to Safety-Critical Cyber-Physical Systems. Mach. Learn. Knowl. Extr., 2, 579-602, 2020.

Course L2935: Machine Learning in Safety-Critical Cyber-Physical Systems
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Examination Form Schriftliche Ausarbeitung
Examination duration and scale 90 min
Lecturer Prof. Ralf God
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L0950: Mechanisms and Systems of Materials Testing - from the viewpoint of product development and Failure Analysis
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 90 Minuten
Lecturer Dr. Jan Oke Peters
Language DE
Cycle SoSe
Content

Application, analysis and discussion of basic and advanced testing methods to ensure correct selection of applicable testing procedure for investigation of part/materials deficiencies

  • Stress-strain relationships
  • Strain gauge application
  • Visko elastic behavior
  • Tensile test (strain hardening, necking, strain rate)
  • Compression test, bending test, torsion test
  • Crack growth upon static loading (J-Integral)                                
  • Crack growth upon cyclic loading (micro- und macro cracks)
  • Effect of notches
  • Creep testing (physical creep test, influence of stress and temperature, Larson Miller parameter)
  • Wear testing
  • Non destructive testing application for overhaul of jet engines
Literature
  • E. Macherauch: Praktikum in Werkstoffkunde, Vieweg
  • G. E. Dieter: Mechanical Metallurgy, McGraw-Hill            
  • R. Bürgel: Lehr- und Übungsbuch Festigkeitslehre, Vieweg                        
  • R. Bürgel: Werkstoffe sícher beurteilen und richtig einsetzen, Vieweg
Course L2809: Multi Disciplinary Optimization in Aircraft Design
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Examination Form Klausur
Examination duration and scale 90 min
Lecturer Prof. Volker Gollnick
Language DE/EN
Cycle WiSe
Content
Literature
Course L2863: Sustainable Industrial Production
Typ Lecture
Hrs/wk 2
CP 4
Workload in Hours Independent Study Time 92, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 60 min
Lecturer Dr. Simon Markus Kothe
Language DE
Cycle SoSe
Content

Industrial production deals with the manufacture of physical products to satisfy human needs using various manufacturing processes that change the form and physical properties of raw materials. Manufacturing is a central driver of economic development and has a major impact on the well-being of humanity. However, the scale of current manufacturing activities results in enormous global energy and material demands that are harmful to both the environment and people. Historically, industrial activities were mostly oriented towards economic constraints, while social and environmental consequences were only hardly considered. As a result, today's global consumption rates of many resources and associated emissions often exceed the natural regeneration rate of our planet. In this respect, current industrial production can mostly be described as unsustainable. This is emphasized each year by the Earth Overshoot Day, which marks the day when humanity's ecological footprint exceeds the Earth's annual regenerative capacity. 

This lecture aims to provide the motivation, analytical methods as well as approaches for sustainable industrial production and to clarify the influence of the production phase in relation to the raw material, use and recycling phases in the entire life cycle of products. For this, the following topics will be highlighted:

- Motivation for sustainable production, the 17 Sustainable Development Goals (SDGs) of the UN and their relevance for tomorrow's manufacturing;

- raw material vs. production phase vs. use phase vs. recycling/end-of-life phase: importance of the production phase for the environmental impact of manufactured products;

- Typical energy- and resource-intensive processes in industrial production and innovative approaches to increase energy and resource efficiency;

- Methodology for optimizing the energy and resource efficiency of industrial manufacturing chains with the three steps of modeling (1), evaluating (2) and improving (3);

- Resource efficiency of industrial manufacturing value chains and its assessment using life cycle analysis (LCA);

- Exercise: LCA analysis of a manufacturing process (thermoplastic joining of an aircraft fuselage segment) as part of a product life cycle assessment.


Literature

Literatur:

- Stefan Alexander (2020): Resource efficiency in manufacturing value chains. Cham: Springer International Publishing.

- Hauschild, Michael Z.; Rosenbaum, Ralph K.; Olsen, Stig Irving (Hg.) (2018): Life Cycle Assessment. Theory and Practice. Cham: Springer International Publishing.

- Kishita, Yusuke; Matsumoto, Mitsutaka; Inoue, Masato; Fukushige, Shinichi (2021): EcoDesign and sustainability. Singapore: Springer.

- Schebek, Liselotte; Herrmann, Christoph; Cerdas, Felipe (2019): Progress in Life Cycle Assessment. Cham: Springer International Publishing.

- Thiede, Sebastian; Hermann, Christoph (2019): Eco-factories of the future. Cham: Springer Nature Switzerland AG.

- Vorlesungsskript.

Course L0908: Turbo Jet Engines
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Mündliche Prüfung
Examination duration and scale 45 min
Lecturer Dr. Burkhard Andrich
Language DE
Cycle WiSe
Content
  • Cycle of the gas turbine
  • Thermodynamics of gas turbine components
  • Wing-, grid- and stage-sizing
  • Operating characteristics of gas turbine components
  • Sizing criteria’s for jet engines
  • Development trends of gas turbines and jet engines
  • Maintenance of jet engines


Literature
  • Bräunling: Flugzeugtriebwerke
  • Engmann: Technologie des Fliegens
  • Kerrebrock: Aircraft Engines and Gas Turbines


Course L1514: Structural Mechanics of Fibre Reinforced Composites
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Mündliche Prüfung
Examination duration and scale 30 min
Lecturer Prof. Benedikt Kriegesmann
Language EN
Cycle WiSe
Content

Classical laminate theory

Rules of mixture

Failure mechanisms and criteria of composites

Boundary value problems of isotropic and anisotropic shells

Stability of composite structures

Optimization of laminated composites

Modelling composites in FEM

Numerical multiscale analysis of textile composites   

Progressive failure analysis   

Literature
  • Schürmann, H., „Konstruieren mit Faser-Kunststoff-Verbunden“, Springer, Berlin, aktuelle Auflage.
  • Wiedemann, J., „Leichtbau Band 1: Elemente“, Springer, Berlin, Heidelberg, , aktuelle Auflage.
  • Reddy, J.N., „Mechanics of Composite Laminated Plates and Shells”, CRC Publishing, Boca Raton et al., current edition.
  • Jones, R.M., „Mechanics of Composite Materials“, Scripta Book Co., Washington, current edition.
  • Timoshenko, S.P., Gere, J.M., „Theory of elastic stability“, McGraw-Hill Book Company, Inc., New York, current edition.
  • Turvey, G.J., Marshall, I.H., „Buckling and postbuckling of composite plates“, Chapman and Hall, London, current edition.
  • Herakovich, C.T., „Mechanics of fibrous composites“, John Wiley and Sons, Inc., New York, current edition.
  • Mittelstedt, C., Becker, W., „Strukturmechanik ebener Laminate”, aktuelle Auflage.
Course L1515: Structural Mechanics of Fibre Reinforced Composites
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Examination Form Mündliche Prüfung
Examination duration and scale 30 min
Lecturer Prof. Benedikt Kriegesmann
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L0949: Materials Testing - from the viewpoint of industrial application
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 90 Minuten
Lecturer Dr. Jan Oke Peters
Language DE
Cycle WiSe
Content


Application and analysis of basic mechanical as well as non-destructive testing of materials  

  • Determination elastic constants                                                                                                                    
  • Tensile test
  • Fatigue test (testing with constant stress, strain, or plastiv strain amplitude, low and high cycle fatigue, mean stress effect)
  • Crack growth upon static loading (stress intensity factor, fracture toughness)
  • Creep test
  • Hardness test
  • Charpy impact test
  • Non destructive testing
Literature

E. Macherauch: Praktikum in Werkstoffkunde, Vieweg
G. E. Dieter: Mechanical Metallurgy, McGraw-Hill

Course L2994: Reliability in Engineering Dynamics
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 90 min
Lecturer Dr. Eric Groß, Prof. Benedikt Kriegesmann
Language EN
Cycle SoSe
Content

Method for calculation and testing of reliability of dynamic machine systems

Modeling

System identification

Simulation

Processing of measurement data

Damage accumulation

Test planning and execution

Literature

Bertsche, B.: Reliability in Automotive and Mechanical Engineering. Springer, 2008. ISBN: 978-3-540-33969-4

Inman, Daniel J.: Engineering Vibration. Prentice Hall, 3rd Ed., 2007. ISBN-13: 978-0132281737

Dresig, H., Holzweißig, F.: Maschinendynamik, Springer Verlag, 9. Auflage, 2009. ISBN 3540876936.

VDA (Hg.): Zuverlässigkeitssicherung bei Automobilherstellern und Lieferanten. Band 3 Teil 2, 3. überarbeitete Auflage, 2004. ISSN 0943-9412

Course L2995: Reliability in Engineering Dynamics
Typ Recitation Section (small)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Examination Form Klausur
Examination duration and scale 90 min
Lecturer Prof. Benedikt Kriegesmann, Dr. Eric Groß
Language EN
Cycle SoSe
Content

Method for calculation and testing of reliability of dynamic machine systems

Modeling

System identification

Simulation

Processing of measurement data

Damage accumulation

Test planning and execution

Literature

Bertsche, B.: Reliability in Automotive and Mechanical Engineering. Springer, 2008. ISBN: 978-3-540-33969-4

Inman, Daniel J.: Engineering Vibration. Prentice Hall, 3rd Ed., 2007. ISBN-13: 978-0132281737

Dresig, H., Holzweißig, F.: Maschinendynamik, Springer Verlag, 9. Auflage, 2009. ISBN 3540876936.

VDA (Hg.): Zuverlässigkeitssicherung bei Automobilherstellern und Lieferanten. Band 3 Teil 2, 3. überarbeitete Auflage, 2004. ISSN 0943-9412

Course L0749: Reliability of Aircraft Systems
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 90 Minuten
Lecturer Prof. Frank Thielecke, Dr. Andreas Vahl, Dr. Uwe Wieczorek
Language DE
Cycle WiSe
Content
  • Functions of reliability and safety (regulations, certification requirements)
  • Basics methods of reliability analysis (FMEA, fault tree, functional hazard assessment)
  • Reliability analysis of electrical and mechanical systems


Literature
  • CS 25.1309
  • SAE ARP 4754
  • SAE ARP 4761

Module M1213: Avionics for safety-critical Systems

Courses
Title Typ Hrs/wk CP
Avionics of Safty Critical Systems (L1640) Lecture 2 3
Avionics of Safty Critical Systems (L1641) Recitation Section (small) 1 1
Avionics of Safty Critical Systems (L1652) Practical Course 1 2
Module Responsible Dr. Martin Halle
Admission Requirements None
Recommended Previous Knowledge

Basic knowledge in:

  • Mathematics
  • Electrical Engineering
  • Informatics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can:


  • describe the most important principles and components of safety-critical avionics
  • denote processes and standards of safety-critical software development
  • depict the principles of Integrated Modular Avionics (IMA)
  • can compare hardware and bus systems used in avionics
  • assess the difficulties of developing a safety-critical avionics system correctly


Skills Students can …
  • operate real-time hardware and simulations
  • program A653 applications
  • plan avionics architectures up to a certain extend
  • create test scripts and assess test results


Personal Competence
Social Competence

Students can:

  • jointly develop solutions in inhomogeneous teams
  • exchange information formally with other teams 
  • present development results in a convenient way


Autonomy

Students can:

  • understand the requirements for an avionics system
  • autonomously derive concepts for systems based on safety-critical avionics


Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes None Subject theoretical and practical work
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula Electrical Engineering: Specialisation Control and Power Systems Engineering: Elective Compulsory
Aircraft Systems Engineering: Core Qualification: Elective Compulsory
Aeronautics: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Course L1640: Avionics of Safty Critical Systems
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr. Martin Halle
Language DE
Cycle WiSe
Content

Avionics are all kinds off flight electronics. Today there is no aircraft system function without avionics, and avionics are one main source of innovation in aerospace industry. Since many system functions are highly safety critical, the development of avionics hardware and software underlies mandatory constraints, technics, and processes. It is inevitable for system developers and computer engineers in aerospace industry to understand and master these. This lecture teaches the risks and techniques of developing safety critical hardware and software; major avionics components; integration; and test with a practical orientation. A focus is on Integrated Modular Avionics (IMA). The lecture is accompanied by a mandatory and laboratory exercises.

Content:

  1. Introduction and Fundamentals
  2. History and Flight Control
  3. Concepts and Redundancy
  4. Digital Computers
  5. Interfaces and Signals
  6. Busses
  7. Networks
  8. Aircraft Cockpit
  9. Software Development
  10. Model-based Development
  11. Integrated Modular Avionics I
  12. Integrated Modular Avionics II
Literature
  • Moir, I.; Seabridge, A. & Jukes, M., Civil Avionics Systems Civil Avionics Systems, John Wiley & Sons, Ltd, 2013
  • Spitzer, C. R. Spitzer, Digital Avionics Handbook, CRC Press, 2007
  • FAA, Advanced Avionics Handbook U.S. Department of Transportation Federal Aviation Administration, 2009
  • Moir, I. & Seabridge, A. Aircraft Systems, Wiley, 2008, 3
Course L1641: Avionics of Safty Critical Systems
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dr. Martin Halle
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L1652: Avionics of Safty Critical Systems
Typ Practical Course
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Dr. Martin Halle
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1155: Aircraft Cabin Systems

Courses
Title Typ Hrs/wk CP
Aircraft Cabin Systems (L1545) Lecture 3 4
Aircraft Cabin Systems (L1546) Recitation Section (large) 1 2
Module Responsible Prof. Ralf God
Admission Requirements None
Recommended Previous Knowledge

Basic knowledge in:
• Mathematics
• Mechanics
• Thermodynamics
• Electrical Engineering
• Control Systems

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

Students are able to:
• describe cabin operations, equipment in the cabin and cabin Systems
• explain the functional and non-functional requirements for cabin Systems
• elucidate the necessity of cabin operating systems and emergency Systems
• assess the challenges human factors integration in a cabin environment

Skills

Students are able to:
• design a cabin layout for a given business model of an Airline
• design cabin systems for safe operations
• design emergency systems for safe man-machine interaction
• solve comfort needs and entertainment requirements in the cabin

Personal Competence
Social Competence

Students are able to:
• comprehend existing system solutions and explain them on the basis of existing requirements
• discuss with experts in technical language
• explain system functions
• classify the criticality of functions
• describe systems as is





Autonomy

Students are able to:
• independently reflect on lecture content and expert presentations
• independently develop more in-depth content
• recognize further areas 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 Minutes
Assignment for the Following Curricula Electrical Engineering: Specialisation Control and Power Systems Engineering: Elective Compulsory
Aircraft Systems Engineering: Core Qualification: Compulsory
International Management and Engineering: Specialisation II. Aviation Systems: Elective Compulsory
Aeronautics: Core Qualification: Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Course L1545: Aircraft Cabin Systems
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Ralf God
Language DE
Cycle WiSe
Content

The objective of the lecture with the corresponding exercise is the acquisition of knowledge about aircraft cabin systems and cabin operations. A basic understanding of technological and systems engineering effort to maintain an artificial but comfortable and safe travel and working environment at cruising altitude is to be achieved.

The course provides a comprehensive overview of current technology and cabin systems in modern passenger aircraft. The Fulfillment of requirements for the cabin as the central system of work are covered on the basis of the topics comfort, ergonomics, human factors, operational processes, maintenance and energy supply:
• Materials used in the cabin
• Ergonomics and human factors
• Cabin interior and non-electrical systems
• Cabin electrical systems and lights
• Cabin electronics, communication-, information- and IFE-systems
• Cabin and passenger process chains
• RFID Aircraft Parts Marking
• Energy sources and energy conversion

Literature

- Skript zur Vorlesung
- Jenkinson, L.R., Simpkin, P., Rhodes, D.: Civil Jet Aircraft Design. London: Arnold, 1999
- Rossow, C.-C., Wolf, K., Horst, P. (Hrsg.): Handbuch der Luftfahrzeugtechnik. Carl Hanser Verlag, 2014
- Moir, I., Seabridge, A.: Aircraft Systems: Mechanical, Electrical and Avionics Subsystems Integration, Wiley 2008
- Davies, M.: The standard handbook for aeronautical and astronautical engineers. McGraw-Hill, 2003
- Kompendium der Flugmedizin. Verbesserte und ergänzte Neuauflage, Nachdruck April 2006. Fürstenfeldbruck, 2006
- Campbell, F.C.: Manufacturing Technology for Aerospace Structural Materials. Elsevier Ltd., 2006

Course L1546: Aircraft Cabin Systems
Typ Recitation Section (large)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Ralf God
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1919: Sustainable operation of technical assets

Courses
Title Typ Hrs/wk CP
Fundamentals of Maintenance, Repair and Overhaul (MRO) (L3160) Lecture 3 4
Fundamentals of Maintenance, Repair and Overhaul (MRO) (L3161) Recitation Section (large) 1 2
Module Responsible Prof. Gerko Wende
Admission Requirements None
Recommended Previous Knowledge

We recommend knowledge in the areas of general engineering sciences, aeronautics and aircraft systems engineering. Technical fields like mechanical engineering, mechatronics and production engineering will be introduced into the relevant aeronautical content.

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

The students are able to describe fundamental correlations for the sustainable operation of technical assets and to identify solution approaches for complex optimization problems.

Skills

The students are enabled to apply the general engineering capabilities of the individual course towards the optimization of the sustainability in operation of technical assets. The resulting competencies will open an entry into positions in the development, production and technical operation of sustainable products in the mobility and engineering industries.

Personal Competence
Social Competence

The students are able to work in mixed groups with a clear focus on the approached solutions by respecting the complex environment of multiple stakeholders.

Autonomy

The students are enabled to find solutions for optimization problems and to take required decision for the assessment of determining factors independently.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula Aircraft Systems Engineering: Core Qualification: Elective Compulsory
Aeronautics: Core Qualification: Elective Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Mechatronics: Specialisation System Design: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Course L3160: Fundamentals of Maintenance, Repair and Overhaul (MRO)
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Gerko Wende
Language DE
Cycle WiSe
Content

Fundamentals for the sustainable operation of technical assets by means of maintenance, repair and overhaul (MRO):

  •     Life cycle analytics
  •     Material circularity and service products
  •     Rules and regulations
  •     Processes and production methods
  •     Tools and technologies
  •     Data handling and usage
  •     Design for maintenance
  •     Self-healing technical systems
Literature -
Course L3161: Fundamentals of Maintenance, Repair and Overhaul (MRO)
Typ Recitation Section (large)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Gerko Wende
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Specialization Maritime Technology

At the center of the specialization Maritime Techniques lies the acquisition of knowledge and skills to develop, calculate and evaluate shipboard and offshore structures and their components. This is done in modules on the topics of marine engine systems, marine auxiliary systems, ship vibrations, maritime technology and maritime systems, port construction and port planning, port logistics, maritime transport and marine geotechnics and numerics in electives. In addition, subjects in the Technical Supplement Course for TMBMS (according FSPO) are freely selectable.

Module M1157: Marine Auxiliaries

Courses
Title Typ Hrs/wk CP
Electrical Installation on Ships (L1531) Lecture 2 2
Electrical Installation on Ships (L1532) Recitation Section (large) 1 1
Auxiliary Systems on Board of Ships (L1249) Lecture 2 2
Auxiliary Systems on Board of Ships (L1250) Recitation Section (large) 1 1
Module Responsible Prof. Christopher Friedrich Wirz
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students are able to

  • name the operating behaviour of consumers,
  • describe special requirements on the design of supply networks and to the electrical equipment in isolated networks, as e.g. onboard ships, offshore units, factories and emergency power supply systems,
  • explain power generation and distribution in isolated grids, wave generator systems on ships,
  • name requirements for network protection, selectivity and operational monitoring,
  • name the requirements regarding marine equipment and apply to product development, as well as
  • describe operating procedures of equipment components of standard and specialized ships and derive requirements for product development.
Skills

Students are able to

• calculate short-circuit currents, switchgear,

• design electrical propulsion systems for ships

• design additional machinery components, as well as

• to apply basic principles of hydraulics and to develop hydraulic systems.

Personal Competence
Social Competence

The students are able to communicate and cooperate in a professional environment in the shipbuilding and component supply industry.

Autonomy

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

Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Oral exam
Examination duration and scale 20 min
Assignment for the Following Curricula Naval Architecture and Ocean Engineering: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Course L1531: Electrical Installation on Ships
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Günter Ackermann
Language DE
Cycle WiSe
Content
  • performance in service of electrical consumers.
  • special requirements for power supply systems and for electrical equipment in isolated systems/networks e. g. aboard ships, offshore installations, factory systems and emergency power supply systems.
  • power generation and distribution in isolated networks, shaft generators for ships
  • calculation of short circuits and behaviour of switching devices
  • protective devices, selectivity monitoring
  • electrical Propulsion plants for ships
Literature

H. Meier-Peter, F. Bernhardt u. a.: Handbuch der Schiffsbetriebstechnik, Seehafen Verlag

(engl. Version: "Compendium Marine Engineering")

Gleß, Thamm: Schiffselektrotechnik, VEB Verlag Technik Berlin

Course L1532: Electrical Installation on Ships
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Günter Ackermann
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L1249: Auxiliary Systems on Board of Ships
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Christopher Friedrich Wirz
Language DE
Cycle SoSe
Content
  • Vorschriften zur Schiffsausrüstung
  • Ausrüstungsanlagen auf Standard-Schiffen
  • Ausrüstungsanlagen auf Spezial-Schiffen
  • Grundlagen und Systemtechnik der Hydraulik
  • Auslegung und Betrieb von Ausrüstungsanlagen
Literature
  • H. Meyer-Peter, F. Bernhardt: Handbuch der Schiffsbetriebstechnik
  • H. Watter: Hydraulik und Pneumatik
Course L1250: Auxiliary Systems on Board of Ships
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 SoSe
Content
Literature

Siehe korrespondierende Vorlesung 




Module M1240: Fatigue Strength of Ships and Offshore Structures

Courses
Title Typ Hrs/wk CP
Fatigue Strength of Ships and Offshore Structures (L1521) Lecture 2 3
Fatigue Strength of Ships and Offshore Structures (L1522) Recitation Section (small) 2 3
Module Responsible Prof. Sören Ehlers
Admission Requirements None
Recommended Previous Knowledge

Structural analysis of ships and/or offshore structures and fundamental knowledge in mechanics and mechanics of materials 

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

Students are able to

  • describe fatigue loads and stresses, as well as
  • describe structural behaviour under cyclic loads. 
Skills

Students are able to calculate life prediction based on the S-N approach as well as life prediction based on the crack propagation.

Personal Competence
Social Competence

The students are able to communicate and cooperate in a professional environment in the shipbuilding and component supply industry. 

Autonomy

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

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula Naval Architecture and Ocean Engineering: Core Qualification: Elective Compulsory
Ship and Offshore Technology: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Course L1521: Fatigue Strength of Ships and Offshore Structures
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Wolfgang Fricke
Language EN
Cycle WiSe
Content

1.) Introduction
2.) Fatigue loads and stresses
3.) Structural behaviour under cyclic loads
- Structural behaviour under constant amplitude loading
- Influence factors on fatigue strength
- Material behaviour under contant amplitude loading
- Special aspects of welded joints
- Structural behaviour under variable amplitude loading
4.) Life prediction based on the S-N approach
- Damage accumulation hypotheses
- nominal stress approach
- structural stress approach
- notch stress approach
- notch strain approach
- numerical analyses
5.) Life prediction based on the crack propagation
- basic relationships in fracture mechanics
- description of crack propagation
- numerical analysis
- safety against unstable fracture

Literature Siehe Vorlesungsskript
Course L1522: Fatigue Strength of Ships and Offshore Structures
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Wolfgang Fricke
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1177: Maritime Technology and Maritime Systems

Courses
Title Typ Hrs/wk CP
Analysis of Maritime Systems (L0068) Lecture 2 2
Analysis of Maritime Systems (L0069) Recitation Section (small) 1 1
Introduction to Maritime Technology (L0070) Lecture 2 2
Introduction to Maritime Technology (L1614) Recitation Section (small) 1 1
Module Responsible Prof. Moustafa Abdel-Maksoud
Admission Requirements None
Recommended Previous Knowledge

Solid knowledge and competences in mechanics, fluid dynamics and analysis (series, periodic functions, continuity, differentiability, integration, multiple variables, ordinaray and partial differential equations, boundary value problems, initial conditions and eigenvalue problems).


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

After successful completion of this class, students should have an overview about phenomena and methods in ocean engineering and the ability to apply and extend the methods presented.

In detail, the students should be able to

  • describe the different aspects and topics in Maritime Technology,
  • apply existing methods to problems in Maritime Technology,
  • discuss limitations in present day approaches and perspectives in the future,
  • Techniques for the analysis of offshore systems,
  • Modeling and evaluation of dynamic systems,
  • System-oriented thinking, decomposition of complex systems.
Skills The students learn the ability of apply and transfer existing methods and techniques on novel questions in maritime technologies. Furthermore, limits of the existing knowledge and future developments will be discussed.
Personal Competence
Social Competence

The processing of an exercise in a group of up to four students shall strengthen the communication and team-working skills and thus promote an important working technicque of subsequent working days. The collaboration has to be illustrated in a community presentation of the results.


Autonomy

The course contents are absorbed in an exercise work in a group and individually checked in a final exam in which a self-reflection of the learned is expected without tools.

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 Naval Architecture and Ocean Engineering: Core Qualification: Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Course L0068: Analysis of Maritime Systems
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Moustafa Abdel-Maksoud, Dr. Alexander Mitzlaff
Language DE
Cycle SoSe
Content
  1. Hydrostatic analysis
    • Buoyancy,
    • Stability,
  2. Hydrodynamic analysis
    • Froude-Krylov force
    • Morison's equation,
    • Radiation and diffraction
    • transparent/compact structures
  3. Evaluation of offshore structures: Reliability techniques (security, reliability, disposability)
    • Short-term statistics
    • Long-term statistics and extreme events
Literature
  • G. Clauss, E. Lehmann, C. Östergaard. Offshore Structures Volume I: Conceptual Design and Hydrodynamics. Springer Verlag Berlin, 1992
  • E. V. Lewis (Editor), Principles of Naval Architecture ,SNAME, 1988
  • Journal of Offshore Mechanics and Arctic Engineering
  • Proceedings of International Conference on Offshore Mechanics and Arctic Engineering
  • S. Chakrabarti (Ed.), Handbook of Offshore Engineering, Volumes 1-2, Elsevier, 2005
  • S. K. Chakrabarti, Hydrodynamics of Offshore Structures , WIT Press, 2001


Course L0069: Analysis of Maritime Systems
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Moustafa Abdel-Maksoud, Dr. Alexander Mitzlaff
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L0070: Introduction to Maritime Technology
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Dr. Walter Kuehnlein, Dr. Sven Hoog
Language DE
Cycle WiSe
Content

1. Introduction

  • Ocean Engineering and Marine Research
  • The potentials of the seas
  • Industries and occupational structures

2. Coastal and offshore Environmental Conditions

  • Physical and chemical properties of sea water and sea ice
  • Flows, waves, wind, ice
  • Biosphere

3. Response behavior of Technical Structures

4. Maritime Systems and Technologies

  • General Design and Installation of Offshore-Structures
  • Geophysical and Geotechnical Aspects
  • Fixed and Floating Platforms
  • Mooring Systems, Risers, Pipelines
  • Energy conversion: Wind, Waves, Tides
Literature
  • Chakrabarti, S., Handbook of Offshore Engineering, vol. I/II, Elsevier 2005.
  • Gerwick, B.C., Construction of Marine and Offshore Structures, CRC-Press 1999.
  • Wagner, P., Meerestechnik, Ernst&Sohn 1990.
  • Clauss, G., Meerestechnische Konstruktionen, Springer 1988.
  • Knauss, J.A., Introduction to Physical Oceanography, Waveland 2005.
  • Wright, J. et al., Waves, Tides and Shallow-Water Processes, Butterworth 2006.
  • Faltinsen, O.M., Sea Loads on Ships and Offshore Structures, Cambridge 1999.
Course L1614: Introduction to Maritime Technology
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dr. Walter Kuehnlein
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0663: Marine Geotechnics

Courses
Title Typ Hrs/wk CP
Marine Geotechnics (L0548) Lecture 1 2
Marine Geotechnics (L0549) Recitation Section (large) 2 2
Steel Structures in Foundation and Hydraulic Engineering (L1146) Lecture 2 2
Module Responsible Prof. Jürgen Grabe
Admission Requirements None
Recommended Previous Knowledge

Complete modules: Geotechnics I-III, Mathematics I-III

Courses: Soil laboratory course

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

The students get a deeper knowledge of steel and ground engineering as well as constructions knowledge concerning quay walls. Furthermore, the students get all the necessary knowledge to design singular construction elements for sheet pile walls and they know how to choose the right construction elements depending on the influencing conditions.

Skills

Furthermore, the students are able to dimension sheet pile wall construction regarding all construction elements, to choose the suitable construction elements with respect to the influencing conditions, to design all kinds of sheet pile walls (wave sheet pile walls and combined sheet pile walls) and to dimension all construction elements and connections.

Personal Competence
Social Competence
Autonomy

Students are able to assess their own strengths and weaknesses and organize their time and learning management based on this.

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 Civil Engineering: Specialisation Geotechnical Engineering: Compulsory
Civil Engineering: Specialisation Structural Engineering: Elective Compulsory
Civil Engineering: Specialisation Coastal Engineering: Compulsory
Civil Engineering: Specialisation Computational Engineering: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Water and Environmental Engineering: Specialisation Cities: Elective Compulsory
Water and Environmental Engineering: Specialisation Environment: Elective Compulsory
Water and Environmental Engineering: Specialisation Water: Elective Compulsory
Course L0548: Marine Geotechnics
Typ Lecture
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Jürgen Grabe
Language DE
Cycle SoSe
Content
  • Geotechnical investigation an description of the seabed
  • Foundations of Offshore-Constructions
  • cCliff erosion
  • Sea dikes
  • Port structures
  • Flood protection structures
Literature
  • EAK (2002): Empfehlungen für Küstenschutzbauwerke
  • EAU (2004): Empfehlungen des Arbeitsausschusses Uferbauwerke
  • Poulos H.G. (1988): Marine Geotechnics. Unwin Hyman, London
  • Wagner P. (1990): Meerestechnik: Eine Einführung für Bauingenieure. Ernst & Sohn, Berlin
Course L0549: Marine Geotechnics
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Jürgen Grabe
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L1146: Steel Structures in Foundation and Hydraulic Engineering
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Frank Feindt
Language DE
Cycle SoSe
Content Design of a sheet pile wall, design of a combined sheet pile wall, piles, walings, connections, fatigue
Literature EAU 2012, EA-Pfähle, EAB

Module M1132: Maritime Transport

Courses
Title Typ Hrs/wk CP
Maritime Transport (L0063) Lecture 2 3
Maritime Transport (L0064) Recitation Section (small) 2 3
Module Responsible Prof. Carlos Jahn
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students are able to…

  • present the actors involved in the maritime transport chain with regard to their typical tasks;
  • name common cargo types in shipping and classify cargo to the corresponding categories;
  • explain operating forms in maritime shipping, transport options and management in transport networks;
  • weigh the advantages and disadvantages of the various modes of hinterland transport and apply them in practice;
  • estimate the potential of digitisation in maritime shipping.


Skills

The students are able to...

  • determine the mode of transport, actors and functions of the actors in the maritime supply chain;
  • identify possible cost drivers in a transport chain and recommend appropriate proposals for cost reduction;
  • record, map and systematically analyse material and information flows of a maritime logistics chain, identify possible problems and recommend solutions;
  • perform risk assessments of human disruptions to the supply chain;
  • analyse accidents in the field of maritime logistics and evaluating their relevance in everyday life;
  • deal with current research topics in the field of maritime logistics in a differentiated way;
  • plan the deployment of a fleet based on scenarios;
  • apply different process modelling methods in a hitherto unknown field of activity and to work out the respective advantages.
Personal Competence
Social Competence

The students are able to...

  • discuss and organise extensive work packages in groups;
  • document and present the elaborated results.
Autonomy

The students are capable to...

  • research and select technical literature, including standards and guidelines;
  • submit own shares in an extensive written elaboration in small groups in due time.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 15 % Subject theoretical and practical work Teilnahme an einem Planspiel und anschließende schriftliche Ausarbeitung
Examination Written exam
Examination duration and scale 120 minutes
Assignment for the Following Curricula Civil Engineering: Specialisation Coastal Engineering: Elective Compulsory
International Management and Engineering: Specialisation II. Logistics: Elective Compulsory
Logistics, Infrastructure and Mobility: Specialisation Production and Logistics: Elective Compulsory
Logistics, Infrastructure and Mobility: Specialisation Infrastructure and Mobility: Elective Compulsory
Renewable Energies: Specialisation Wind Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Course L0063: Maritime Transport
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Carlos Jahn
Language DE
Cycle SoSe
Content

The general tasks of maritime logistics include the planning, design, implementation and control of material and information flows in the logistics chain ship - port - hinterland. The aim of the course is to provide students with knowledge of maritime transport and the actors involved in the maritime transport chain. Typical problem areas and tasks will be dealt with, taking into account the economic development. Thus, classical problems as well as current developments and trends in the field of maritime logistics are considered.

In the lecture, the components of the maritime logistics chain and the actors involved will be examined and risk assessments of human disturbances on the supply chain will be developed. In addition, students learn to estimate the potential of digitisation in maritime shipping, especially with regard to the monitoring of ships. In addition, students are able to design operational planning for fleets of container or tramp vessels. Further content of the lecture is the different modes of transport in the hinterland, which students can evaluate after completion of the course regarding their advantages and disadvantages.

Literature
  • Clausen, Uwe and Geiger, Christiane. Verkehrs- und Transportlogistik. Berlin Heidelberg: Springer-Verlag, 2013.
  • Schönknecht, Axel. Maritime Containerlogistik: Leistungsvergleich von Containerschiffen in intermodalen Transportketten. Berlin Heidelberg: Springer-Verlag, 2009.
  • Rodrigue, Jean-Paul. Geography of Transport Systems. London New York: Routledge, 2020.
  • Stopford, Martin. Maritime Economics Routledge, 2009.
Course L0064: Maritime Transport
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Carlos Jahn
Language DE
Cycle SoSe
Content

The exercise lesson bases on the haptic management game MARITIME. MARITIME focuses on providing knowledge about structures and processes in a maritime transport network. Furthermore, the management game systematically provides process management methodology and also promotes personal skills of the participants.


Literature
  • Brinkmann, Birgitt. Seehäfen: Planung und Entwurf. Berlin Heidelberg: Springer-Verlag, 2005.
  • Koch Susanne. Methoden des Prozessmanagements. In: Einführung in das Management von Geschäftsprozessen. Springer, Berlin, Heidelberg, 2011. 
  • Liebetruth, Thomas. Prozessmanagement in Einkauf und Logistik, Springer Gabler: Wiesbaden, 2020.
  • Schönknecht, Axel. Maritime Containerlogistik: Leistungsvergleich von Containerschiffen in intermodalen Transportketten. Berlin Heidelberg: Springer-Verlag, 2009.
  • Stopford, Martin. Maritime Economics Routledge, 2009


Module M1133: Port Logistics

Courses
Title Typ Hrs/wk CP
Port Logistics (L0686) Lecture 2 3
Port Logistics (L1473) Recitation Section (small) 2 3
Module Responsible Prof. Carlos Jahn
Admission Requirements None
Recommended Previous Knowledge none
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Th

After completing the module, students can...

  • reflect on the development of seaports (in terms of the functions of the ports and the corresponding terminals, as well as the relevant operator models) and place them in their historical context;
  • explain and evaluate different types of seaport terminals and their specific characteristics (cargo, transhipment technologies, logistic functional areas);
  • analyze common planning tasks (e.g. berth planning, stowage planning, yard planning) at seaport terminals and develop suitable approaches (in terms of methods and tools) to solve these planning tasks;
  • identify future developments and trends regarding the planning and control of innovative seaport terminals and discuss them in a problem-oriented manner.


Skills

After completing the module, students will be able to...

  • recognize functional areas in ports and seaport terminals;
  • define and evaluate suitable operating systems for container terminals;
  • perform static calculations with regard to given boundary conditions, e.g. required capacity (parking spaces, equipment requirements, quay wall length, port access) on selected terminal types;
  • reliably estimate which boundary conditions influence common logistics indicators in the static planning of selected terminal types and to what extent.



Personal Competence
Social Competence

After completing the module, students can...

  • transfer the acquired knowledge to further questions of port logistics;
  • discuss and successfully organize extensive task packages in small groups;
  • in small groups, document work results in writing in an understandable form and present them to an appropriate extent.


Autonomy

After completing the module, the students are able to...

  • research and select specialist literature, including standards, guidelines and journal papers, and to develop the contents independently;
  • submit own parts in an extensive written elaboration in small groups in due time and to present them jointly within a fixed time frame.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 15 % Written elaboration
Examination Written exam
Examination duration and scale 120 minutes
Assignment for the Following Curricula Civil Engineering: Specialisation Coastal Engineering: Elective Compulsory
International Management and Engineering: Specialisation II. Logistics: Elective Compulsory
Logistics, Infrastructure and Mobility: Specialisation Production and Logistics: Elective Compulsory
Logistics, Infrastructure and Mobility: Specialisation Infrastructure and Mobility: Elective Compulsory
Renewable Energies: Specialisation Wind Energy Systems: Elective Compulsory
Naval Architecture and Ocean Engineering: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Course L0686: Port Logistics
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Carlos Jahn
Language DE
Cycle SoSe
Content

Port Logistics deals with the planning, control, execution and monitoring of material flows and the associated information flows in the port system and its interfaces to numerous actors inside and outside the port area.

The extraordinary role of maritime transport in international trade requires very efficient ports. These must meet numerous requirements in terms of economy, speed, safety and the environment. Against this background, the lecture Port Logistics deals with the planning, control, execution and monitoring of material flows and the associated information flows in the port system and its interfaces to numerous actors inside and outside the port area. The aim of the lecture Port Logistics is to convey an understanding of structures and processes in ports. The focus will be on different types of terminals, their characteristical layouts and the technical equipment used as well as the ongoing digitization and interaction of the players involved.

In addition, renowned guest speakers from science and practice will be regularly invited to discuss some lecture-relevant topics from alternative perspectives.

The following contents will be conveyed in the lectures:

  • Instruction of structures and processes in the port
  • Planning, control, implementation and monitoring of material and information flows in the port
  • Fundamentals of different terminals, characteristical layouts and the technical equipment used
  • Handling of current issues in port logistics
Literature
  • Alderton, Patrick (2013). Port Management and Operations.
  • Biebig, Peter and Althof, Wolfgang and Wagener, Norbert (2017). Seeverkehrswirtschaft: Kompendium.
  • Brinkmann, Birgitt. Seehäfen: Planung und Entwurf. Berlin Heidelberg: Springer-Verlag, 2005.
  • Büter, Clemens (2013). Außenhandel: Grundlagen internationaler Handelsbeziehungen.
  • Gleissner, Harald and Femerling, J. Christian (2012). Logistik: Grundlagen, Übungen, Fallbeispiele.
  • Jahn, Carlos; Saxe, Sebastian (Hg.). Digitalization of Seaports - Visions of the Future,  Stuttgart: Fraunhofer Verlag, 2017.
  • Kummer, Sebastian (2019). Einführung in die Verkehrswirtschaft
  • Lun, Y.H.V. and Lai, K.-H. and Cheng, T.C.E. (2010). Shipping and Logistics Management.
  • Woitschützke, Claus-Peter (2013). Verkehrsgeografie.
Course L1473: Port Logistics
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Carlos Jahn
Language DE
Cycle SoSe
Content

The content of the exercise is the independent preparation of a scientific paper plus an accompanying presentation on a current topic of port logistics. The paper deals with current topics of port logistics. For example, the future challenges in sustainability and productivity of ports, the digital transformation of terminals and ports or the introduction of new regulations by the International Maritime Organization regarding the verified gross weight of containers. Due to the international orientation of the event, the paper is to be prepared in English.


Literature
  • Alderton, Patrick (2013). Port Management and Operations.
  • Biebig, Peter and Althof, Wolfgang and Wagener, Norbert (2017). Seeverkehrswirtschaft: Kompendium.
  • Brinkmann, Birgitt. Seehäfen: Planung und Entwurf. (2005) Berlin Heidelberg: Springer-Verlag.
  • Büter, Clemens (2013). Außenhandel: Grundlagen internationaler Handelsbeziehungen.
  • Gleissner, Harald and Femerling, J. Christian (2012). Logistik: Grundlagen, Übungen, Fallbeispiele.
  • Jahn, Carlos; Saxe, Sebastian (Hg.) (2017) Digitalization of Seaports - Visions of the Future,  Stuttgart: Fraunhofer Verlag.
  • Kummer, Sebastian (2019). Einführung in die Verkehrswirtschaft
  • Lun, Y.H.V. and Lai, K.-H. and Cheng, T.C.E. (2010). Shipping and Logistics Management.
  • Woitschützke, Claus-Peter (2013). Verkehrsgeografie.

Module M1021: Marine Diesel Engine Plants

Courses
Title Typ Hrs/wk CP
Marine Diesel Engine Plants (L0637) Lecture 3 4
Marine Diesel Engine Plants (L0638) Recitation Section (large) 1 2
Module Responsible Prof. Christopher Friedrich Wirz
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can

• explain different types four / two-stroke engines and assign types to given engines,

• name definitions and characteristics, as well as

• elaborate on special features of the heavy oil operation, lubrication and cooling.

Skills

Students can

• evaluate the interaction of ship, engine and propeller,

• use relationships between gas exchange, flushing, air demand, charge injection and combustion for the design of systems,

• design waste heat recovery, starting systems, controls, automation, foundation and design machinery spaces , and

• apply evaluation methods for excited motor noise and vibration.

Personal Competence
Social Competence

The students are able to communicate and cooperate in a professional environment in the shipbuilding and component supply industry. 

Autonomy

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

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Oral exam
Examination duration and scale 20 min
Assignment for the Following Curricula Energy Systems: Specialisation Energy Systems: Elective Compulsory
Energy Systems: Specialisation Marine Engineering: Compulsory
Naval Architecture and Ocean Engineering: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Course L0637: Marine Diesel Engine Plants
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Christopher Friedrich Wirz
Language DE
Cycle SoSe
Content
  • Historischer Überblick
  • Bauarten von Vier- und Zweitaktmotoren als Schiffsmotoren
  • Vergleichsprozesse, Definitionen, Kenndaten
  • Zusammenwirken von Schiff, Motor und Propeller
  • Ausgeführte Schiffsdieselmotoren
  • Gaswechsel, Spülverfahren, Luftbedarf
  • Aufladung von Schiffsdieselmotoren
  • Einspritzung und Verbrennung
  • Schwerölbetrieb
  • Schmierung
  • Kühlung
  • Wärmebilanz
  • Abwärmenutzung
  • Anlassen und Umsteuern
  • Regelung, Automatisierung, Überwachung
  • Motorerregte Geräusche und Schwingungen
  • Fundamentierung
  • Gestaltung von Maschinenräumen
Literature
  • D. Woodyard: Pounder’s Marine Diesel Engines
  • H. Meyer-Peter, F. Bernhardt: Handbuch der Schiffsbetriebstechnik
  • K. Kuiken: Diesel Engines
  • Mollenhauer, Tschöke: Handbuch Dieselmotoren
  • Projektierungsunterlagen der Motorenhersteller
Course L0638: Marine Diesel Engine Plants
Typ Recitation Section (large)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Christopher Friedrich Wirz
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1175: Special Topics of Ship Propulsionand Hydrodynamics of High Speed Water Vehicles

Courses
Title Typ Hrs/wk CP
Hydrodynamics of High Speed Water Vehicles (L1593) Lecture 3 3
Special Topics of Ship Propulsion (L1589) Lecture 3 3
Module Responsible Prof. Moustafa Abdel-Maksoud
Admission Requirements None
Recommended Previous Knowledge

Basic knowledge on ship resistance, ship propulsion and propeller theory 

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Understand present research questions in the field of ship propulsion
  • Explain the present state of the art for the topics considered
  • Apply given methodology to approach given problems
  • Evaluate the limits of the present ship propulsion systems
  • Identify possibilities to extend present methods and technologies
  • Evaluate the feasibility of further developments
Skills

Students are able to
• select and apply suitable computing and simulation methods to determine the hydrodynamic characteristics of ship propulsion systems
• model the behavior of ship propulsion systems under different operation conditions by using simplified methods
• evaluate critically the investigation results of experimental or numerical investigations

Personal Competence
Social Competence

Students are able to

  • solve problems in heterogeneous groups and to document the corresponding results
  • share new knowledge with group members
Autonomy

Students are able to assess their knowledge by means of exercises and case studies

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 Naval Architecture and Ocean Engineering: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Course L1593: Hydrodynamics of High Speed Water Vehicles
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Moustafa Abdel-Maksoud
Language DE/EN
Cycle SoSe
Content
  1. Resistance components of different high speed water vehicles
  2. Propulsion units of high speed vehicles
  3. Waves resistance in shallow and deep water
  4. Surface effect ships (SES)
  5. Hydrofoil supported vehicles
  6. Semi-displacement vehicles
  7. Planning vehicles
  8. Slamming
  9. Manoeuvrability
Literature

Faltinsen,O. M., Hydrodynamics of High-Speed Marine Vehicles, Cambridge University Press, UK, 2006

Course L1589: Special Topics of Ship Propulsion
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Moustafa Abdel-Maksoud
Language DE/EN
Cycle SoSe
Content
  1. Propeller Geometry 
  2. Cavitation 
  3. Model Tests, Propeller-Hull Interaction
  4. Pressure Fluctuation / Vibration
  5. Potential Theory 
  6. Propeller Design 
  7. Controllable Pitch Propellers 
  8. Ducted Propellers 
  9. Podded Drives
  10. Water Jet Propulsion
  11. Voith-Schneider-Propulsors
Literature
  • Breslin, J., P., Andersen, P., Hydrodynamics of Ship Propellers, Cambridge Ocean Technology, Series 3,
        Cambridge University Press, 1996.
  • Lewis, V. E., ed., Principles of Naval Architecture, Volume II Resistance, Propulsion and Vibration,
        SNAME,  1988.
  • N. N., International Confrrence Waterjet 4, RINA London, 2004
  • N. N., 1st International Conference on Technological Advances in Podded Propulsion, Newcastle, 2004 

Module M1146: Ship Vibration

Courses
Title Typ Hrs/wk CP
Ship Vibration (L1528) Lecture 2 3
Ship Vibration (L1529) Recitation Section (small) 2 3
Module Responsible Dr. Rüdiger Ulrich Franz von Bock und Polach
Admission Requirements None
Recommended Previous Knowledge

Mechanis I - III
Structural Analysis of Ships I
Fundamentals of Ship Structural Design

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

Students can reproduce the acceptance criteria for vibrations on ships; they can explain the methods for the calculation of natural frequencies and forced vibrations of sructural components and the entire hull girder; they understand the effect of exciting forces of the propeller and main engine and methods for their determination

Skills

Students are capable to apply methods for the calculation of natural frequencies and exciting forces and resulting vibrations of ship structures including their assessment; they can model structures for the vibration analysis

Personal Competence
Social Competence

The students are able to communicate and cooperate in a professional environment in the shipbuilding and component supply industry. 

Autonomy

Students are able to detect vibration-prone components on ships, to model the structure, to select suitable calculation methods and to assess the 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 3 hours
Assignment for the Following Curricula Energy Systems: Specialisation Marine Engineering: Elective Compulsory
Naval Architecture and Ocean Engineering: Core Qualification: Compulsory
Ship and Offshore Technology: Core Qualification: Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Course L1528: Ship Vibration
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr. Rüdiger Ulrich Franz von Bock und Polach
Language EN
Cycle WiSe
Content

1. Introduction; assessment of vibrations
2. Basic equations
3. Beams with discrete / distributed masses
4. Complex beam systems
5. Vibration of plates and Grillages
6. Deformation method / practical hints / measurements
7. Hydrodynamic masses
8. Spectral method
9. Hydrodynamic masses acc. to Lewis
10. Damping
11. Shaft systems
12. Propeller excitation
13. Engines

Literature Siehe Vorlesungsskript
Course L1529: Ship Vibration
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr. Rüdiger Ulrich Franz von Bock und Polach
Language EN
Cycle WiSe
Content

1. Introduction; assessment of vibrations
2. Basic equations
3. Beams with discrete / distributed masses
4. Complex beam systems
5. Vibration of plates and Grillages
6. Deformation method / practical hints / measurements
7. Hydrodynamic masses
8. Spectral method
9. Hydrodynamic masses acc. to Lewis
10. Damping
11. Shaft systems
12. Propeller excitation
13. Engines

Literature Siehe Vorlesungsskript

Module M1182: Technical Elective Course for TMBMS (according to Subject Specific Regulations)

Courses
Title Typ Hrs/wk CP
Module Responsible Prof. Robert Seifried
Admission Requirements None
Recommended Previous Knowledge see FSPO
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge see FSPO
Skills see FSPO
Personal Competence
Social Competence see FSPO
Autonomy see FSPO
Workload in Hours Depends on choice of courses
Credit points 6
Assignment for the Following Curricula Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory

Module M1233: Numerical Methods in Ship Design

Courses
Title Typ Hrs/wk CP
Numerical Methods in Ship Design (L1271) Lecture 2 4
Numerical Methods in Ship Design (L1709) Project-/problem-based Learning 2 2
Module Responsible Prof. Stefan Krüger
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
Skills
Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Oral exam
Examination duration and scale 45 min
Assignment for the Following Curricula Naval Architecture and Ocean Engineering: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Course L1271: Numerical Methods in Ship Design
Typ Lecture
Hrs/wk 2
CP 4
Workload in Hours Independent Study Time 92, Study Time in Lecture 28
Lecturer Prof. Stefan Krüger
Language DE
Cycle SoSe
Content

The lecture starts with the definition of the early design phase and the importance of first principle approaches. The
reasons for process reengineering when such kinds of methods are introduced is demonstrated. Several numerical
modelling techniques are introduced and discussed for the following design relevant topics:
- Hullform representation, fairing and interpolation
- Hullform design by modifying parent hulls
- Modelling of subdivison
- Volumetric and stability calculations
- Mass distributions and longitudinal strength
- Hullform Design by CFD- techniques
- Propulsor and Rudder Design by CFD Techniques

Literature Skript zur Vorlesung.
Course L1709: Numerical Methods in Ship Design
Typ Project-/problem-based Learning
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Stefan Krüger
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1148: Selected topics in Naval Architecture and Ocean Engineering

Courses
Title Typ Hrs/wk CP
Outfitting and Operation of Special Purpose Offshore Ships (L1896) Lecture 2 3
Design of Underwater Vessels (L0670) Lecture 2 3
Lattice-Boltzmann methods for the simulation of free surface flows (L2066) Lecture 2 3
Machine Learning and Dynamics of Maritime Systems I (L2855) Project-/problem-based Learning 3 3
Machine Learning and Dynamics of Maritime Systems II (L2856) Project-/problem-based Learning 3 3
Modeling and Simulation of Maritime Systems (L2013) Project-/problem-based Learning 2 3
Offshore Wind Parks (L0072) Lecture 2 3
Ship Acoustics (L1605) Lecture 2 3
Ship Dynamics (L0352) Lecture 2 3
Selected Topics of Experimental and Theoretical Fluiddynamics (L0240) Lecture 2 3
Technical Elements and Fluid Mechanics of Sailing Ships (L0873) Lecture 2 3
Technology of Naval Surface Vessels (L0765) Lecture 2 3
Module Responsible Prof. Sören Ehlers
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 find their way through selected special areas within naval architecture and ocean engineering
  • Students are able to explain basic models and procedures in selected special areas.
  • Students are able to interrelate scientific and technical knowledge.
Skills

Students are able to apply basic methods in selected areas of ship and ocean engineering.

Personal Competence
Social Competence

The students are able to communicate and cooperate in a professional environment in the shipbuilding and component supply industry. 

Autonomy

Students can chose independently, in which fields they want to deepen their knowledge and skills through the election of courses.

Workload in Hours Depends on choice of courses
Credit points 6
Assignment for the Following Curricula Naval Architecture and Ocean Engineering: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Course L1896: Outfitting and Operation of Special Purpose Offshore Ships
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Mündliche Prüfung
Examination duration and scale 30 min
Lecturer Dr. Hendrik Vorhölter
Language DE
Cycle SoSe
Content

The lecture is separated into two parts. In the first part some basic skills necessary for the design of offshore vessels and their equipment will be repeated and where necessary deepened. In particular, the specialties which are common for the ma-jority of offshore vessels will be addressed: rules and regulations, determination of operational limits as well as mooring and dynamic positioning.

In the second part of the lecture single types of special offshore vessels and their equipment and outfitting will be addressed. For each type the specific requirements on design and operation will be discussed. Furthermore, the students shall be en-gaged with the preparation of short presentation about the specific ship types as incentive for the respective unit. In particular, it is planned to discuss the following ship types in the lecture:
- Anchor handling and plattform supply vessels
- Cable -and pile lay vessels
- Jack-up vessels
- Heavy lift and offshore construction vessels
- Dredgers and rock dumping vessels
- Diving support vessels

Literature

Chakrabarti, S. (2005): Handbook of Offshore Engineering. Elsevier. Amsterdam, London

Volker Patzold (2008): Der Nassabbau. Springer. Berlin

Milwee, W. (1996): Modern Marine Salvage. Md Cornell Maritime Press. Centreville.

DNVGL-ST-N001 „Marine Operations and Marin Warranty“

IMCA M 103 “The Design and Operation of Dynamically Positioned Vessels” 2007-12

IMCA M 182 “The Safe Operation of Dynamically Positioned Offshore Supply Vessels” 2006-03

IMCA M 187 “Lifting Operations” 2007-10

IMCA SEL 185 “Transfer of Personnel to and from Offshore Vessels” 2010-03

Course L0670: Design of Underwater Vessels
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Mündliche Prüfung
Examination duration and scale 30 min
Lecturer Peter Hauschildt
Language DE
Cycle SoSe
Content

The  lectures will give an overview about the design of underwater vessels. The Topics are:

1.) Special requirements on the design of modern, konventional submarines

2.) Design history

3.) Generals description of submarines

4.) Civil submersibles

5.) Diving, trim, stability

6.) Rudders and Propulsion systems

7.) Air Independent propulsion

8.) Signatures

9.) Hydrodynamics and CFD

10.) Weapon- and combatmangementsystems

11.) Safety and rescue

12.) Fatigue and shock

13.) Ships technical systems

14.) Electricals Systems and automation

15.) Logisics

16.) Accomodation

Some of the lectures will be Hheld in form of a excursion to ThyssenKrupp Marine Systems in Kiel

Literature Gabler, Ubootsbau
Course L2066: Lattice-Boltzmann methods for the simulation of free surface flows
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Mündliche Prüfung
Examination duration and scale 30 min
Lecturer Dr. Christian Friedrich Janßen
Language DE/EN
Cycle WiSe
Content

This lecture addresses Lattice Boltzmann Methods for the simulation of free surface flows. After an introduction to the basic concepts of kinetic methods (LGCAs, LBM, ….), recent LBM extensions for the simulation of free-surface flows are discussed. Parallel to the lecture, selected maritime free-surface flow problems are to be solved numerically.

Literature

Krüger et al., “The Lattice Boltzmann Method - Principles and Practice”, Springer

Zhou, “Lattice Boltzmann Methods for Shallow Water Flows”, Springer

Janßen, “Kinetic approaches for the simulation of non-linear free surface flow problems in civil and environmental engineering”, PhD thesis, TU Braunschweig, 2010.

Course L2855: Machine Learning and Dynamics of Maritime Systems I
Typ Project-/problem-based Learning
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Examination Form Klausur
Examination duration and scale 90 min
Lecturer Dr. Marco Klein
Language DE
Cycle SoSe
Content


Literature

S. Chakrabarti, Handbook of Offshore Engineering. Elsevier 2005.

C.C. Mei, Theory and Applications of Ocean Surface Waves. World Scientific 2004.

Weitere Literaturempfehlungen während der Veranstaltung

Course L2856: Machine Learning and Dynamics of Maritime Systems II
Typ Project-/problem-based Learning
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Examination Form Klausur
Examination duration and scale 90 min
Lecturer Dr. Marco Klein
Language DE
Cycle WiSe
Content
Literature

S. Chakrabarti, Handbook of Offshore Engineering. Elsevier 2005.

C.C. Mei, Theory and Applications of Ocean Surface Waves. World Scientific 2004.

Weitere Literaturempfehlungen während der Veranstaltung

Course L2013: Modeling and Simulation of Maritime Systems
Typ Project-/problem-based Learning
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Mündliche Prüfung
Examination duration and scale 30 min
Lecturer Dr. Christian Friedrich Janßen
Language DE/EN
Cycle SoSe
Content

In the scope of this lecture, students learn to model and solve selected maritime problems with the help of numerical programs and scripts.

First, basic concepts of computational modeling are explained, from the physical modeling and discretization to the implementation and actual numerical solution of the problem. Then, available tools for the implementation and solution process are discussed, including high-level compiled and interpreted programming languages and computer algebra systems (e.g., Python; Matlab, Maple). In the second half of the class, selected maritime problems will be discussed and subsequently solved numerically by the students.

Literature

“Introduction to Computational Modeling Using C and Open-Source Tools” (J.M. Garrido, Chapman and Hall); “Introduction to Computational Models with Python” (J.M. Garrido, Chapman and Hall); “Programming Fundamentals” (MATLAB Handbook, MathWorks); 

Course L0072: Offshore Wind Parks
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Mündliche Prüfung
Examination duration and scale 45 min
Lecturer Dr. Alexander Mitzlaff
Language DE
Cycle WiSe
Content
  • Nonlinear Waves: Stability, pattern formation, solitary states 
  • Bottom Boundary layers: wave boundary layers, scour, stability of marine slopes
  • Ice-structure interaction
  • Wave and tidal current energy conversion


Literature
  • Chakrabarti, S., Handbook of Offshore Engineering, vol. I&II, Elsevier 2005.
  • Mc Cormick, M.E., Ocean Wave Energy Conversion, Dover 2007.
  • Infeld, E., Rowlands, G., Nonlinear Waves, Solitons and Chaos, Cambridge 2000.
  • Johnson, R.S., A Modern Introduction to the Mathematical Theory of Water Waves, Cambridge 1997.
  • Lykousis, V. et al., Submarine Mass Movements and Their Consequences, Springer 2007.
  • Nielsen, P., Coastal Bottom Boundary Layers and Sediment Transport, World Scientific 2005.
  • Research Articles.


Course L1605: Ship Acoustics
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Mündliche Prüfung
Examination duration and scale 30 min
Lecturer Dr. Dietrich Wittekind
Language DE
Cycle SoSe
Content
Literature
Course L0352: Ship Dynamics
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 60 min
Lecturer Prof. Moustafa Abdel-Maksoud
Language DE
Cycle SoSe
Content

Maneuverability of ships

  • Equations of motion
  • Hydrodynamic forces and moments
  • Linear equations and their solutions
  • Full-scale trials for evaluating the maneuvering performance
  • Regulations for maneuverability
  • Rudder


Seakeeping

  • Representation of harmonic processes
  • Motions of a rigid ship in regular waves
  • Flow forces on ship cross sections
  • Strip method
  • Consequences induced by ship motion in regular waves
  • Behavior of ships in a stationary sea state
  • Long-term distribution of seaway influences


Literature
  • Abdel-Maksoud, M., Schiffsdynamik, Vorlesungsskript, Institut für Fluiddynamik und Schiffstheorie,  Technische Universität Hamburg-Harburg, 2014
  • Abdel-Maksoud, M., Ship Dynamics, Lecture notes, Institute for Fluid Dynamic and Ship Theory, Hamburg University of  Technology, 2014
  • Bertram, V., Practical Ship Design Hydrodynamics, Butterworth-Heinemann, Linacre House - Jordan Hill, Oxford, United Kingdom, 2000
  • Bhattacharyya, R., Dynamics of Marine Vehicles, John Wiley & Sons, Canada,1978
  • Brix, J. (ed.), Manoeuvring Technical Manual, Seehafen-Verlag, Hamburg, 1993
  • Claus, G., Lehmann, E., Östergaard, C). Offshore Structures, I+II, Springer-Verlag. Berlin Heidelberg, Deutschland, 1992
  • Faltinsen, O. M., Sea Loads on Ships and Offshore Structures, Cambridge University Press, United Kingdom, 1990
  • Handbuch der Werften, Deutschland, 1986
  • Jensen, J. J., Load and Global Response of Ships, Elsevier Science, Oxford, United Kingdom, 2001
  • Lewis, Edward V. (ed.), Principles of Naval Architecture - Motion in Waves and Controllability, Society of Naval Architects and Marine Engineers, Jersey City, NJ, 1989
  • Lewandowski, E. M., The Dynamics of Marine Craft: Maneuvering and Seakeeping, World Scientific, USA, 2004
  • Lloyd, A., Ship Behaviour in Rough Weather, Gosport, Chichester, Sussex, United Kingdom, 1998


Course L0240: Selected Topics of Experimental and Theoretical Fluiddynamics
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Mündliche Prüfung
Examination duration and scale 30 min
Lecturer Prof. Thomas Rung
Language DE
Cycle WiSe
Content Will be announced at the beginning of the lecture. Exemplary topics are 
  1. methods and procedures from experimental fluid mechanics
  2. rational Approaches towards flow physics modelling 
  3. selected topics of theoretical computation fluid dynamics
  4. turbulent flows 
Literature

Wird in der Veranstaltung bekannt gegeben. To be announced during the lecture.

Course L0873: Technical Elements and Fluid Mechanics of Sailing Ships
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Mündliche Prüfung
Examination duration and scale 30 min
Lecturer Prof. Thomas Rung, Peter Schenzle
Language DE/EN
Cycle WiSe
Content

Principles of Sailing Mechanics:

- Sailing: Propulsion from relative motion

- Lifting foils: Sails, wings, rudders, fins, keels

- Wind climate: global, seasonal, meteorological, local

- Aerodynamics of sails and sailing rigs

- Hydrodynamics of Hulls and fins

Technical Elements of Sailing:

- Traditional and modern sail types

- Modern and unconventional wind propulsors

- Hull forms and keel-rudder-configurations

- Sailing performance Prediction (VPP)

- Auxiliary wind propulsion (motor-sailing)

Configuration of Sailing Ships:

- Balancing hull and sailing rig

- Sailing-boats and -yachts

- Traditional Tall Sailing Ships

- Modern Wind-Ships

Literature

- Vorlesungs-Manuskript mit Literatur-Liste: Verteilt zur Vorlesung
- B. Wagner: Fahrtgeschwindigkeitsberechnung für Segelschiffe, IfS-Rep. 132, 1967
- B. Wagner: Sailing Ship Research at the Hamburg University, IfS-Script 2249, 1976
- A.R. Claughton et al.: Sailing Yacht Design 1&2, University of Southampton, 1998
- L. Larsson, R.E. Eliasson: Principles of Yacht Design, Adlard Coles Nautical, London, 2000
- K. Hochkirch: Entwicklung einer Messyacht, Diss. TU Berlin, 2000

Course L0765: Technology of Naval Surface Vessels
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Mündliche Prüfung
Examination duration and scale 30 min
Lecturer Dr. Martin Schöttelndreyer
Language DE
Cycle WiSe
Content
  • Operational scenarios, tasks, capabilities, requirements
  • Product and process models, rules and regulations
  • Survivability: threats, signatures, counter measures
  • Design characteristics
  • Energy and propulsion systems
  • Command and combat systems
  • Vulnerability: residual strength, residual functionality
Literature

Th. Christensen, H.-D. Ehrenberg, H. Götte, J. Wessel: Entwurf von Fregatten und Korvetten, in: H. Keil (Hrsg.), Handbuch der Werften, Bd. XXV, Schiffahrts-Verlag "Hansa" C. Schroedter & Co., Hamburg (2000)

16th International Ship and Offshore Structures Congress: Committee V.5 - Naval Ship Design (2006)

P. G. Gates: Surface Warships - An Introduction to Design Principles, Brassey’s Defence Publishers, London (1987)

Module M1268: Linear and Nonlinear Waves

Courses
Title Typ Hrs/wk CP
Linear and Nonlinear Waves (L1737) Project-/problem-based Learning 4 6
Module Responsible Prof. Norbert Hoffmann
Admission Requirements None
Recommended Previous Knowledge

Calculus, Algebra, Engineering Mechanics, Vibrations. 

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students are able to reflect existing terms and concepts in Wave Mechanics 
  • Students are able to identify and express the need to develop and research new terms and concepts.
Skills
  • Students are able to apply existing research methods and procedures of wave mechanics.
  • Students are able to develop novel research methods and procedures in wave mechanics.
Personal Competence
Social Competence
  • Students can reach working results also in groups.
  • Students can present and communicate working results also in groups.
Autonomy
  • Students are able to approach given research tasks individually.
  • Studetns are able to identify and follow up novel research tasks by themselves.
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 2 Hours
Assignment for the Following Curricula Mechatronics: Specialisation System Design: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Naval Architecture and Ocean Engineering: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory
Course L1737: Linear and Nonlinear Waves
Typ Project-/problem-based Learning
Hrs/wk 4
CP 6
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Lecturer Prof. Norbert Hoffmann
Language DE/EN
Cycle WiSe
Content

Introduction into the Dynamics of Linear and Nonlinear Waves

  • Linear Waves
    • Dispersion
    • Phase and Group Velocity
    • Envelopes
    • Discrete Systems
  • Nonlinear Waves
    • Model Equations
    • Solitons, Breathers, Extreme Waves
  • Water Waves, Ocean Waves
    • Airy and Stokes
    • Natural Sea State
    • Kinetic Modelling
  • Other topics

Literature

F.K. Kneubühl: Oscillations and Waves. Springer.

G.B. Witham, Linear and Nonlinear Waves. Wiley.

C.C. Mei, Theory and Applications of Ocean Surface Waves. World Scientific.

L.H. Holthuijsen, Waves in Oceanic and Coastal Waters. Cambridge.

And others.


Module M1165: Ship Safety

Courses
Title Typ Hrs/wk CP
Ship Safety (L1267) Lecture 2 4
Ship Safety (L1268) Recitation Section (large) 2 2
Module Responsible Prof. Stefan Krüger
Admission Requirements None
Recommended Previous Knowledge Ship Design, Hydrostatics, Statistical Processes
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The student shall lean to integrate safety aspects into the ship design process. This includes the undertsnding and
application of existing rules as well as the understanding of the sfatey concept and level which is targeted by a rule.
Further, methods of demonstrating equivalent safety levels are introduced.

Skills

he lectures starts with an overview about general safety concepts for technical systems. The maritime safety
organizations are introduced, their responses and duties. Then, the gerenal difference between prescriptive and
performance based rules is tackled. Foer different examples in ship design, the influence of the rules on the deign is
illustrated . Further, limitations of saftey rules with respect to the physical background are shown. Concepts of
demonstrating equivalent levels of safety by direct calculations are discussed. The following fields will be treated.

- Freeboard, water- and weathertight subdivisions, openings

- all aspects of intact stability, including special problems such as grain code

- damage stability for passenger vessels including Stockholm agreement

- damage stbility fopr cargo vessels

- on board stability, inclining experiment and stability booklet

- Relevant manoevering information

Personal Competence
Social Competence The student learns to take responsibilty for the safety of his designn.
Autonomy Responsible certification of technical designs.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 180 min
Assignment for the Following Curricula Naval Architecture and Ocean Engineering: Core Qualification: Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Course L1267: Ship Safety
Typ Lecture
Hrs/wk 2
CP 4
Workload in Hours Independent Study Time 92, Study Time in Lecture 28
Lecturer Prof. Stefan Krüger
Language DE
Cycle WiSe
Content

The lectures starts with an overview about general safety concepts for technical systems. The maritime safety
organizations are introduced, their responses and duties. Then, the gerenal difference between prescriptive and
performance based rules is tackled. Foer different examples in ship design, the influence of the rules on the deign is
illustrated . Further, limitations of saftey rules with respect to the physical background are shown. Concepts of
demonstrating equivalent levels of safety by direct calculations are discussed. The following fields will be treated.

- Freeboard, water- and weathertight subdivisions, openings

- all aspects of intact stability, including special problems such as grain code

- damage stability for passenger vessels including Stockholm agreement

- damage stbility fopr cargo vessels

- on board stability, inclining experiment and stability booklet

- Relevant manoevering information

Literature SOLAS, LOAD LINES, CODE ON INTACT STABILITY. Alle IMO, London.
Course L1268: Ship Safety
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Stefan Krüger
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1178: Manoeuvrability and Shallow Water Ship Hydrodynamics

Courses
Title Typ Hrs/wk CP
Manoeuvrability of Ships (L1597) Lecture 2 3
Shallow Water Ship Hydrodynamics (L1598) Lecture 2 3
Module Responsible Prof. Moustafa Abdel-Maksoud
Admission Requirements None
Recommended Previous Knowledge

B.Sc. Schiffbau

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

The students lern the motion equation and how to describe hydrodynamic forces. They'll will be able to develop methods for analysis of manoeuvring behaviour of ships and explaining the Nomoto equation. The students will know the common model tests as well as their assets and drawbacks.

Furthermore, the students lern the basics of assessment and prognosis of ship manoeuvrabilit. Basics of characteristics of flows around ships in shallow water regarding ship propulsion and manoeuvrability will be aquired.



Skills
Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 180 min
Assignment for the Following Curricula Naval Architecture and Ocean Engineering: Core Qualification: Elective Compulsory
Ship and Offshore Technology: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Course L1597: Manoeuvrability of Ships
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Moustafa Abdel-Maksoud
Language DE/EN
Cycle WiSe
Content
  • coordinates & degrees of freedom
  • governing equations of motion
  • hydrodynamic forces & moments
  • ruder forces
  • navigation based on linearised eq.of motion(exemplary solutions, yaw stability)
  • manoeuvering test (constraint & unconstraint motion)
  • slender body approximation

Learning Outcomes

Introduction into basic concepts for the assessment and prognosis ship manoeuvrabilit.

Ability to develop methods for analysis of manoeuvring behaviour of ships.

Literature
  • Crane, C. L. H., Eda, A. L., Principles of Naval Architecture, Chapter 9, Controllability, SNAME, New York, 1989
  • Brix, J., Manoeuvring Technical Manual, Seehafen Verlag GmbH, Hamburg 1993 
  • Söding, H., Manövrieren , Vorlesungsmanuskript, Institut für Fluiddynamik und Schiffstheorie, TUHH, Hamburg, 1995
Course L1598: Shallow Water Ship Hydrodynamics
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Moustafa Abdel-Maksoud, Dr. Norbert Stuntz
Language DE/EN
Cycle WiSe
Content
  • Special Aspects of Shallow Water Hydrodynamics, Vertical and Horizontal Constraints, Irregularities in Channel Bed
  • Fundamental Equations of Shallow Water Hydrodynamics
  • Approximation of Shallow Water Waves, Boussinesq’s Approximation
  • Ship Waves in Deep Water and under critical, non-critical and supercritical Velocities
  • Solitary Wves, Critical Speed Range, Extinction of Waves
  • Aspects of Ship motions in Canals with limited water depth
Literature
  • PNA (1988): Principle of Naval Architecture, Vol. II, ISBN 0-939773-01-5
  • Schneekluth (1988): Hydromechanik zum Schiffsentwurf
  • Jiang, T. (2001): Ship Waves in Shallow Water, Fortschritt-Berichte VDI, Series 12, No 466, ISBN 3-18-346612-0

Module M1232: Arctic Technology

Courses
Title Typ Hrs/wk CP
Ice Engineering (L1607) Lecture 2 2
Ice Engineering (L1615) Recitation Section (small) 1 2
Ship structural design for arctic conditions (L1575) Project-/problem-based Learning 2 2
Module Responsible Prof. Sören Ehlers
Admission Requirements None
Recommended Previous Knowledge none
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The challenges and requirements due to ice can be explained. Ice loads can be explained and ice strengthening can be understood.

Skills

The challenges and requirements due to ice can be assessed and the accuracy of these assessment can be evaluated. Calculation models to assess ice loads can be used and a structure can be designed accordingly.

Personal Competence
Social Competence

Students are capable to present their structural design and discuss their decisions constructively in a group. 

Autonomy

Independent and individual assignment tasks can be carried out and presented whereby the capabilities to both, present and defend, the skills and findings will be achieved.

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula Naval Architecture and Ocean Engineering: Core Qualification: Elective Compulsory
Ship and Offshore Technology: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Course L1607: Ice Engineering
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Dr. Walter Kuehnlein
Language DE/EN
Cycle WiSe
Content
  1. Ice, Ice Properties, Ice Failure Modes and Challenges and Requirements due to Ice
    • Introduction, what is/means ice engineering
    • Description of different kinds of ice, main ice properties and different ice failure modes
    • Why is ice so different compared to open water
    • Presentation of design challenges and requirements for structures and systems in ice covered waters
  2. Ice Load Determination and Ice Model Testing
    • Overview of different empirical equations for simple determination of ice loads
    • Discussion and interpretation of the different equations and results
    • Introduction to ice model tests
    • What are the requirements for ice model tests, what parameters have to be scaled
    • What can be simulated and how to use the results of such ice model tests
  3. Computational Modelling of Ice-Structure Interaction Processes
    • Dynamic fracture and continuum mechanics for modelling ice-structure interaction processes
    • Alternative numerical crack propagation modelling methods. Examples of cohesive element models for real life structures.
    • Discussion of contribution of ice properties, hydrodynamics and rubble.
  4. Ice Design Philosophies and Perspectives
    • What has to be considered when designing structures or systems for ice covered waters
    • What are the main differences compared to open water design
    • Ice Management
    • What are the main ice design philosophies and why is an integrated concept so important for ice

Learning Objectives

The course will provide an introduction into ice engineering. Different kinds of ice and their different failure modes including numerical methods for ice load simulations are presented. Main design issues including design philosophies for structures and systems for ice covered waters are introduced. The course shall enable the attendees to understand the fundamental challenges due to ice covered waters and help them to understand ice engineering reports and presentations.

Literature
  • Proceedings OMAE
  • Proceedings POAC
  • Proceedings ATC
Course L1615: Ice Engineering
Typ Recitation Section (small)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Dr. Walter Kuehnlein
Language DE/EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L1575: Ship structural design for arctic conditions
Typ Project-/problem-based Learning
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Dr. Rüdiger Ulrich Franz von Bock und Polach, Dr. Rüdiger Ulrich Franz von Bock und Polach
Language DE/EN
Cycle WiSe
Content The structural design under ice loads will be carried out for an individual case
Literature FSICR, IACS PC and assorted publications

Specialization Materials Science

The focus of the specialization „materials technology“ is the acquisition of in-depth knowledge and skills in materials technology. One main focus is on the creation of modern material models. Modules in the electives are the material modeling and Multi-scale modeling phenomena and methods in materials science, polymer processing, as well as plastics and composites. In addition, subjects in the Technical Supplement Course for TMBMS (according FSPO) are freely selectable.

Module M1345: Metallic and Hybrid Light-weight Materials

Courses
Title Typ Hrs/wk CP
Joining of Polymer-Metal Lightweight Structures (L0500) Lecture 2 2
Joining of Polymer-Metal Lightweight Structures (L0501) Practical Course 1 1
Metallic Light-weight Materials (L1660) Lecture 2 3
Module Responsible Prof. Marcus Rutner
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
Skills
Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Oral exam
Examination duration and scale 45 min
Assignment for the Following Curricula Civil Engineering: Specialisation Structural Engineering: Elective Compulsory
Materials Science and Engineering: Specialisation Engineering Materials: Elective Compulsory
Materials Science: Specialisation Engineering Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory
Course L0500: Joining of Polymer-Metal Lightweight Structures
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Marcus Rutner
Language EN
Cycle WiSe
Content

Contents:

The lecture and the related laboratory exercises intend to provide an insight on advanced joining technologies for polymer-metal lightweight structures used in engineering applications. A general understanding of the principles of the consolidated and new technologies and its main fields of applications is to be accomplished through theoretical and practical lectures.

Theoretical Lectures:

  • Review of the relevant properties of Lightweight Alloys, Engineering Plastics and Composites in Joining Technology
  • Introduction to Welding of Lightweight Alloys, Thermoplastics and Fiber Reinforced Plastics
  • Mechanical Fastening of Polymer-Metal Hybrid Structures
  • Adhesive Bonding of Polymer-Metal Hybrid Structures
  • Fusion and Solid State Joining Processes of Polymer-Metal Hybrid Structures
  • Hybrid Joining Methods and Direct Assembly of Polymer-Metal Hybrid Structures

Laboratory Exercises:

  • Joining Processes: Introduction to state-of-the-art joining technologies
  • Introduction to metallographic specimen preparation, optical microscopy and mechanical testing of polymer-metal joints

Course Outcomes:

After successful completion of this unit, students should be able to understand the principles of welding and joining of polymer-metal lightweight structures as well as their application fields.

Literature
  • S. T. Amancio-Filho, L.-A. Blaga, Joining of Polymer-Metal Hybrid Structures, Wiley, 2018
  • J.F. Shackelford, Introduction to materials science for engineers, Prentice-Hall International
  • J. Rotheiser, Joining of Plastics, Handbook for designers and engineers, Hanser Publishers
  • D.A. Grewell, A. Benatar, J.B. Park, Plastics and Composites Welding Handbook
  • D. Lohwasser, Z. Chen, Friction Stir Welding, From basics to applications, Woodhead Publishing Limited
  • J. Friedrich, Metal-Polymer Systems: Interface Design and Chemical Bonding, Wiley, 2017

Course L0501: Joining of Polymer-Metal Lightweight Structures
Typ Practical Course
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Marcus Rutner
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L1660: Metallic Light-weight Materials
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr. Domonkos Tolnai
Language EN
Cycle WiSe
Content

Lightweight construction

- Structural lightweight construction

- Material lightweight construction

- Choice criteria for metallic lightweight construction materials

 Steel as lightweight construction materials

- Introduction to the fundamentals of steels

- Modern steels for the lightweight construction

  - Fine grain steels

  - High-strength low-alloyed steels

  - Multi-phase steels (dual phase, TRIP)

  - Weldability

  - Applications


Aluminium alloys:

Introduction to the fundamentals of aluminium materials

Alloy systems

Non age-hardenable Al alloys: Processing and microstructure, mechanical qualities and applications

Age-hardenable Al alloys: Processing and microstructure, mechanical qualities and applications

 

Magnesium alloys

Introduction to the fundamental of magnesium materials

Alloy systems

Magnesium casting alloys, processing, microstructure and qualities

Magnesium wrought alloys, processing, microstructure and qualities

Examples of applications


Titanium alloys

Introduction to the fundamental of the titanium materials

Alloy systems

Processing, microstructure and properties

Examples of applications

 

Exercises and excursions

Literature

George Krauss, Steels: Processing, Structure, and Performance, 978-0-87170-817-5, 2006, 613 S.

Hans Berns, Werner Theisen, Ferrous Materials: Steel and Cast Iron, 2008. http://dx.doi.org/10.1007/978-3-540-71848-2

C. W. Wegst, Stahlschlüssel = Key to steel = La Clé des aciers = Chiave dell'acciaio = Liave del acero ISBN/ISSN: 3922599095

Bruno C., De Cooman / John G. Speer: Fundamentals of Steel Product Physical Metallurgy, 2011, 642 S.

Harry Chandler, Steel Metallurgy for the Non-Metallurgist 0-87170-652-0, 2006, 84 S.

Catrin Kammer, Aluminium Taschenbuch 1, Grundlagen und Werkstoffe, Beuth,16. Auflage 2009. 784 S., ISBN 978-3-410-22028-2

Günter Drossel, Susanne Friedrich, Catrin Kammer und Wolfgang Lehnert, Aluminium Taschenbuch 2, Umformung von Aluminium-Werkstoffen, Gießen von Aluminiumteilen, Oberflächenbehandlung von Aluminium, Recycling und Ökologie, Beuth, 16. Auflage 2009. 768 S., ISBN 978-3-410-22029-9

Catrin Kammer, Aluminium Taschenbuch 3, Weiterverarbeitung und Anwendung, Beuith,17. Auflage 2014. 892 S., ISBN 978-3-410-22311-5

G. Lütjering, J.C. Williams: Titanium, 2nd ed., Springer, Berlin, Heidelberg, 2007, ISBN 978-3-540-71397

Magnesium - Alloys and Technologies, K. U. Kainer (Hrsg.), Wiley-VCH, Weinheim 2003, ISBN 3-527-30570-x

Mihriban O. Pekguleryuz, Karl U. Kainer and Ali Kaya “Fundamentals of Magnesium Alloy Metallurgy”, Woodhead Publishing Ltd, 2013,ISBN 10: 0857090887




Module M1342: Polymers

Courses
Title Typ Hrs/wk CP
Structure and Properties of Polymers (L0389) Lecture 2 3
Processing and design with polymers (L1892) Lecture 2 3
Module Responsible Dr. Hans Wittich
Admission Requirements None
Recommended Previous Knowledge Basics: chemistry / physics / material science
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can use the knowledge of plastics and define the necessary testing and analysis.

They can explain the complex relationships structure-property relationship and

the interactions of chemical structure of the polymers, including to explain neighboring contexts (e.g. sustainability, environmental protection).

Skills

Students are capable of

- using standardized calculation methods in a given context to mechanical properties (modulus, strength) to calculate and evaluate the different materials.

-  selecting appropriate solutions for mechanical recycling problems and sizing example stiffness, corrosion resistance.

Personal Competence
Social Competence

Students can

- arrive at funded work results in heterogenius groups and document them.

- provide appropriate feedback and handle feedback on their own performance constructively.


Autonomy

Students are able to

- assess their own strengths and weaknesses.

- assess their own state of learning in specific terms and to define further work steps on this basis.

- assess possible consequences of their professional activity.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 180 min
Assignment for the Following Curricula Materials Science and Engineering: Specialisation Engineering Materials: Elective Compulsory
Materials Science: Specialisation Engineering Materials: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: 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
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory
Course L0389: Structure and Properties of Polymers
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr. Hans Wittich
Language DE
Cycle WiSe
Content

- Structure and properties of polymers

- Structure of macromolecules

  Constitution, Configuration, Conformation, Bonds, Synthesis, Molecular weihght distribution

- Morphology

  amorph, crystalline, blends

- Properties

  Elasticity, plasticity, viscoelacity

- Thermal properties

- Electrical properties

- Theoretical modelling

- Applications

Literature Ehrenstein: Polymer-Werkstoffe, Carl Hanser Verlag
Course L1892: Processing and design with polymers
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Bodo Fiedler, Dr. Hans Wittich
Language DE/EN
Cycle WiSe
Content

Manufacturing of Polymers: General Properties; Calendering; Extrusion; Injection Moulding; Thermoforming, Foaming; Joining

Designing with Polymers: Materials Selection; Structural Design; Dimensioning

Literature

Osswald, Menges: Materials Science of Polymers for Engineers, Hanser Verlag
Crawford: Plastics engineering, Pergamon Press
Michaeli: Einführung in die Kunststoffverarbeitung, Hanser Verlag

Konstruieren mit Kunststoffen, Gunter Erhard , Hanser Verlag

Module M1151: Materials Modeling

Courses
Title Typ Hrs/wk CP
Material Modeling (L1535) Lecture 2 3
Material Modeling (L1536) Recitation Section (small) 2 3
Module Responsible Prof. Christian Cyron
Admission Requirements None
Recommended Previous Knowledge

Basics of mechanics as taught, e.g., in the modules Engineering Mechanics I and Engineering Mechanics II at TUHH (forces and moments, stress, linear strain, free-body principle, linear-elastic constitutive laws, strain energy); basics of mathematics as taught, e.g., in the modules Mathematics I and Mathematics II at TUHH

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge The students understand the theoretical foundations of anisotropic elasticity, viscoelasticity and elasto-plasticity in the realm of three-dimensional (linear) continuum mechanics. In the area of anisotropic elasticity, they know the concept of material symmetry and its application in orthotropic, transversely isotropic and isotropic materials. They understand the concept of stiffness and compliance and how both can be characterized by appropriate parameters. Moreover, the students understand viscoelasticity both in the time and frequency domain using the concepts of relaxation modulus, creep modulus, storage modulus and loss modulus. In the area of elasto-plasticity, the students know the concept of yield stress or (in higher dimensions) yield surface and of plastic potential. Additionally, the know the concepts of ideal plasticity, hardening and weakening. Moreover, they know von-Mises plasticity as a specific model of elasto-plasticity. 
Skills The students can independently identify and solve problems in the area of materials modeling and acquire the knowledge to do so. This holds in particular for the area fo anisotropically elastic, viscoelastic and elasto-plastic material behavior. In these areas, the students can independently develop models for complex material behavior. To this end, they have the ability to read and understand relevant literature and identify the relevant results reported there. Moreover, they can implement models which they developed or found in the literature in computational software (e.g., based on the finite element method) and use it for practical calculations.
Personal Competence
Social Competence

The students are able to develop constitutive models for materials and present them to specialists. Moreover, they have the ability to discuss challenging problems of materials modeling with experts using the proper terminoloy, to identify and ask critical questions in such discussions and to identify and discuss potential caveats in models presented to them.


Autonomy

The students have the ability to independently develop abstract models that allow them to classify observed phenomena within an more general abstract framework and to predict their further evolution. Moreover, the students understand the advantages but also limitations of mathematical models and can thus independently decide when and to which extent they make sense as a basis for decisions.



Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 60 min
Assignment for the Following Curricula Materials Science: Specialisation Modeling: Elective Compulsory
Mechanical Engineering and Management: Specialisation Materials: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Product Development, Materials and Production: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Course L1535: Material Modeling
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Christian Cyron
Language DE
Cycle WiSe
Content

One of the most important questions when modeling mechanical systems in practice is how to model the behavior of the materials of their different components. In addition to simple isotropic elasticity in particular the following phenomena play key roles

- anisotropy (material behavior depending on direction, e.g., in fiber-reinforced materials)
- plasticity (permanent deformation due to one-time overload, e.g., in metal forming)
- viscoelasticity (absorption of energy, e.g., in dampers)
- creep (slow deformation under permanent load, e.g., in pipes)

This lecture briefly introduces the theoretical foundations and mathematical modeling of the above phenomena. It is complemented by exercises where simple examples problems are solved by calculations and where the implementation of the content of the lecture in computer simulations is explained. It will also briefly discussed how important material parameters can be determined from experimental data.

Literature

Empfohlene Literatur / Recommended literature:
1) Dietmar Gross, Werner Hauger, Peter Wriggers, Technische Mechanik 4, Springer 2018, DOI: 10.1007/978-3-662-55694-8
2) Peter Haupt, Continuum Mechanics and Theory of Materials, Springer 2002, DOI: 10.1007/978-3-662-04775-0

Course L1536: Material Modeling
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Christian Cyron
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1182: Technical Elective Course for TMBMS (according to Subject Specific Regulations)

Courses
Title Typ Hrs/wk CP
Module Responsible Prof. Robert Seifried
Admission Requirements None
Recommended Previous Knowledge see FSPO
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge see FSPO
Skills see FSPO
Personal Competence
Social Competence see FSPO
Autonomy see FSPO
Workload in Hours Depends on choice of courses
Credit points 6
Assignment for the Following Curricula Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory

Module M1343: Structure and properties of fibre-polymer-composites

Courses
Title Typ Hrs/wk CP
Structure and properties of fibre-polymer-composites (L1894) Lecture 2 3
Structure and properties of fibre-polymer-composites (L2614) Project-/problem-based Learning 2 2
Structure and properties of fibre-polymer-composites (L2613) Recitation Section (large) 1 1
Module Responsible Prof. Bodo Fiedler
Admission Requirements None
Recommended Previous Knowledge Basics: chemistry / physics / materials science
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can use the knowledge of  fiber-reinforced composites (FRP) and its constituents to play (fiber / matrix) and define the necessary testing and analysis.

They can explain the complex relationships structure-property relationship and

the interactions of chemical structure of the polymers, their processing with the different fiber types, including to explain neighboring contexts (e.g. sustainability, environmental protection).

Skills

Students are capable of

  • using standardized calculation methods in a given context to mechanical properties (modulus, strength) to calculate and evaluate the different materials.
  • approximate sizing using the network theory of the structural elements implement and evaluate.
  • selecting appropriate solutions for mechanical recycling problems and sizing example stiffness, corrosion resistance.
Personal Competence
Social Competence

Students can

  • arrive at funded work results in heterogenius groups and document them.
  • provide appropriate feedback and handle feedback on their own performance constructively.


Autonomy

Students are able to

- assess their own strengths and weaknesses.

- assess their own state of learning in specific terms and to define further work steps on this basis.

- assess possible consequences of their professional activity.


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 Aircraft Systems Engineering: Core Qualification: Elective Compulsory
International Management and Engineering: Specialisation II. Product Development and Production: Elective Compulsory
Aeronautics: Core Qualification: Elective Compulsory
Materials Science and Engineering: Specialisation Engineering Materials: Elective Compulsory
Materials Science: Specialisation Engineering Materials: Elective Compulsory
Mechanical Engineering and Management: Core Qualification: Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Compulsory
Renewable Energies: Specialisation Bioenergy Systems: Elective Compulsory
Renewable Energies: Specialisation Wind Energy Systems: Elective Compulsory
Renewable Energies: Specialisation Solar Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory
Course L1894: Structure and properties of fibre-polymer-composites
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Bodo Fiedler
Language EN
Cycle SoSe
Content

- Microstructure and properties of the matrix and reinforcing materials and their interaction
- Development of composite materials
- Mechanical and physical properties
- Mechanics of Composite Materials
- Laminate theory
- Test methods
- Non destructive testing
- Failure mechanisms
- Theoretical models for the prediction of properties
- Application

Literature Hall, Clyne: Introduction to Composite materials, Cambridge University Press
Daniel, Ishai: Engineering Mechanics of Composites Materials, Oxford University Press
Mallick: Fibre-Reinforced Composites, Marcel Deckker, New York
Course L2614: Structure and properties of fibre-polymer-composites
Typ Project-/problem-based Learning
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Bodo Fiedler
Language DE/EN
Cycle SoSe
Content

The students receive the assignment in the form of a material design for test bodies made of fibre composites. Technical and normative requirements are listed in the assignment, all other required information comes from the lectures and exercises or the respective documents (electronically and in conversation).

The procedure is specified in a milestone plan and enables the students to plan subtasks and thus work continuously. At the end of the project, different test specimens were tested in tensile or bending tests.

In the individual project meetings, the conception (discussion of requirements and risks) is scrutinised. The calculations are analysed, the production methods are evaluated and determined. Materials are selected and the test specimens are manufactured according to standards. The quality and mechanical properties are checked and classified. At the end, a final report is prepared and the results are presented to all participants in the form of a presentation and discussed.

Translated with www.DeepL.com/Translator (free version)

Literature

Hall, Clyne: Introduction to Composite materials, Cambridge University Press
Daniel, Ishai: Engineering Mechanics of Composites Materials, Oxford University Press
Mallick: Fibre-Reinforced Composites, Marcel Deckker, New York

Course L2613: Structure and properties of fibre-polymer-composites
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Bodo Fiedler
Language EN
Cycle SoSe
Content

The contents of the lecture are repeated and deepened using practical examples.

Calculations are carried out together or individually, and the results are discussed critically.

Literature

Hall, Clyne: Introduction to Composite materials, Cambridge University Press
Daniel, Ishai: Engineering Mechanics of Composites Materials, Oxford University Press
Mallick: Fibre-Reinforced Composites, Marcel Deckker, New York

Module M1238: Quantum Mechanics of Solids

Courses
Title Typ Hrs/wk CP
Quantum Mechanics of Solids (L1675) Lecture 2 4
Quantum Mechanics of Solids (L1676) Recitation Section (small) 1 2
Module Responsible Gregor Vonbun-Feldbauer
Admission Requirements None
Recommended Previous Knowledge

Knowledge of advanced mathematics like analysis, linear algebra, differential equations and complex functions, e.g., Mathematics I-IV
Knowledge of mechanics and physics, particularly solid state physics, e.g., Materials Physics


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

The master students will be able to explain…

…the basics of quantum mechanics.

… the importance of quantum physics for the description of materials properties.

… correlations between on quantum mechanics based phenomena between individual atoms and macroscopic properties of materials.

The master students will then be able to connect essential materials properties in engineering with materials properties on the atomistic scale in order to understand these connections.

Skills

After attending this lecture the students can …

…perform materials design on a quantum mechanical basis.

Personal Competence
Social Competence

The students are able to discuss competently quantum-mechanics-based subjects with experts from fields such as physics and materials science.


Autonomy

The students are able to independently develop solutions to quantum mechanical problems. They can also acquire the knowledge they need to deal with more complex questions with a quantum mechanical background from the literature.

Workload in Hours Independent Study Time 138, Study Time in Lecture 42
Credit points 6
Course achievement None
Examination Oral exam
Examination duration and scale
Assignment for the Following Curricula Materials Science: Specialisation Nano and Hybrid Materials: Elective Compulsory
Materials Science: Specialisation Modeling: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory
Course L1675: Quantum Mechanics of Solids
Typ Lecture
Hrs/wk 2
CP 4
Workload in Hours Independent Study Time 92, Study Time in Lecture 28
Lecturer Gregor Vonbun-Feldbauer
Language DE/EN
Cycle SoSe
Content

1. Introduction
1.1 Relevance of Quantum Mechanics
1.2 Classification of Solids

2. Foundations of Quantum Mechanics
2.1 Reminder : Elements of Classical Mechanics
2.2 Motivation for Quantum Mechanics
2.3 Particle-Wave Duality
2.4 Formalism

3. Elementary QM Problems
3.1 Onedimensional Problems of a Particle in a Potential
3.2 Two-Level System
3.3 Harmonic Oscillator
3.4 Electrons in a Magnetic Field
3.5 Hydrogen Atom

4. Quantum Effects in Condensed Matter
4.1 Preliminary
4.2 Electronic Levels
4.3 Magnetism
4.4 Superconductivity
4.5 Quantum Hall Effect

Literature

Physik für Ingenieure, Hering/Martin/Stohrer, Springer

Atom- und Quantenphysik, Haken/Wolf, Springer

Grundkurs Theoretische Physik 5|1, Nolting, Springer

Electronic Structure of Materials, Sutton, Oxford

Materials Science and Engineering: An Introduction, Callister/Rethwisch, Edition 9, Wiley

Course L1676: Quantum Mechanics of Solids
Typ Recitation Section (small)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Gregor Vonbun-Feldbauer
Language DE/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1344: Processing of Fibre-Polymer-Composites

Courses
Title Typ Hrs/wk CP
Processing of fibre-polymer-composites (L1895) Lecture 2 3
From Molecule to Composites Part (L1516) Project-/problem-based Learning 2 3
Module Responsible Prof. Bodo Fiedler
Admission Requirements None
Recommended Previous Knowledge

Knowledge in the basics of chemistry / physics / materials science

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 the manufacturing processes composites 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

Students can use the knowledge of  fiber-reinforced composites (FRP) and its constituents (fiber / matrix) and define the necessary testing and analysis.

They can explain the complex structure-property relationship and

the interactions of chemical structure of the polymers, their processing with the different fiber types, including to explain neighboring contexts (e.g. sustainability, environmental protection).
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 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 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 Materials Science and Engineering: Specialisation Engineering Materials: Elective Compulsory
Materials Science: Specialisation Engineering Materials: Elective Compulsory
Mechanical Engineering and Management: Specialisation Materials: Elective Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory
Course L1895: Processing of fibre-polymer-composites
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Bodo Fiedler
Language DE/EN
Cycle SoSe
Content Manufacturing of Composites: Hand Lay-Up; Pre-Preg; GMT, BMC; SMC, RIM; Pultrusion; Filament Winding
Literature Åström: Manufacturing of Polymer Composites, Chapman and Hall
Course L1516: From Molecule to Composites Part
Typ Project-/problem-based Learning
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Bodo Fiedler
Language DE/EN
Cycle SoSe
Content

Students get the task in the form of a customer request for the development and production of a MTB handlebar made ​​of fiber composites. In the task technical and normative requirements (standards) are given, all other required information come from the lectures and tutorials, and the respective documents (electronically and in conversation). 
  The procedure is to specify in a milestone schedule and allows students to plan tasks and to work continuously. At project end, each group has a made handlebar with approved quality.
In each project meeting the design (discussion of the requirements and risks) are discussed. The calculations are analyzed, evaluated and established manufacturing methods are selected. Materials are selected bar will be produced. The quality and the mechanical properties are checked. At the end of the final report created (compilation of the results for the "customers").
After the test during the "customer / supplier conversation" there is a mutual feedback-talk ("lessons learned") in order to ensure the continuous improvement.

Literature

Åström: Manufacturing of Polymer Composites, Chapman and Hall


Module M1226: Mechanical Properties

Courses
Title Typ Hrs/wk CP
Mechanical Behaviour of Brittle Materials (L1661) Lecture 2 3
Dislocation Theory of Plasticity (L1662) Lecture 2 3
Module Responsible Prof. Shan Shi
Admission Requirements None
Recommended Previous Knowledge

Basics in Materials Science I/II

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

Students can explain basic principles of crystallography, statics (free body diagrams, tractions) and thermodynamics (energy minimization, energy barriers, entropy)

Skills

Students are capable of using standardized calculation methods: tensor calculations, derivatives, integrals, tensor transformations

Personal Competence
Social Competence

Students can provide appropriate feedback and handle feedback on their own performance constructively.

Autonomy

Students are able to

- assess their own strengths and weaknesses

- assess their own state of learning in specific terms and to define further work steps on this basis guided by teachers.

- work independently based on lectures and notes to solve problems, and to ask for help or clarifications when needed

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 180 min
Assignment for the Following Curricula Materials Science: Core Qualification: Compulsory
Mechanical Engineering and Management: Specialisation Materials: Elective Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Compulsory
Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory
Course L1661: Mechanical Behaviour of Brittle Materials
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Gerold Schneider
Language DE/EN
Cycle SoSe
Content

Theoretical Strength
Of a perfect crystalline material, theoretical critical shear stress

Real strength of brittle materials
Energy release reate, stress intensity factor, fracture criterion

Scattering of strength of brittle materials
Defect distribution, strength distribution, Weibull distribution

Heterogeneous materials I
Internal stresses, micro cracks, weight function,

Heterogeneous materials II
Toughening mechanisms: crack bridging, fibres

Heterogeneous materials III
Toughening mechanisms. Process zone

Testing methods to determine the fracture toughness of brittle materials

R-curve, stable/unstable crack growth, fractography

Thermal shock

Subcritical crack growth)
v-K-curve, life time prediction

Kriechen

Mechanical properties of biological materials

Examples of use for a mechanically reliable design of ceramic components

Literature

D R H Jones, Michael F. Ashby, Engineering Materials 1, An Introduction to Properties, Applications and Design, Elesevier

D.J. Green, An introduction to the mechanical properties of ceramics”, Cambridge University Press, 1998

B.R. Lawn, Fracture of Brittle Solids“, Cambridge University Press, 1993

D. Munz, T. Fett, Ceramics, Springer, 2001

D.W. Richerson, Modern Ceramic Engineering, Marcel Decker, New York, 1992

Course L1662: Dislocation Theory of Plasticity
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Shan Shi
Language EN
Cycle SoSe
Content

This class will cover the principles of dislocation theory from a physical metallurgy perspective, providing a fundamental understanding of the relations between the strength and of crystalline solids and distributions of defects.

We will review the concept of dislocations, defining terminology used, and providing an overview of important concepts (e.g. linear elasticity, stress-strain relations, and stress transformations) for theory development. We will develop the theory of dislocation plasticity through derived stress-strain fields, associated self-energies, and the induced forces on dislocations due to internal and externally applied stresses. Dislocation structure will be discussed, including core models, stacking faults, and dislocation arrays (including grain boundary descriptions). Mechanisms of dislocation multiplication and strengthening will be covered along with general principles of creep and strain rate sensitivity. Final topics will include non-FCC dislocations, emphasizing the differences in structure and corresponding implications on dislocation mobility and macroscopic mechanical behavior; and dislocations in finite volumes.

Literature

Vorlesungsskript

Aktuelle Publikationen

Bücher:

Introduction to Dislocations, by D. Hull and D.J. Bacon

Theory of Dislocations, by J.P.  Hirth and J. Lothe

Physical Metallurgy, by Peter Hassen

Module M1199: Advanced Functional Materials

Courses
Title Typ Hrs/wk CP
Advanced Functional Materials (L1625) Seminar 2 6
Module Responsible Prof. Patrick Huber
Admission Requirements None
Recommended Previous Knowledge

Basic knowledge in Materials Science, e.g. Materials Science I/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.
  • gather new necessary expertise by their own.
Workload in Hours Independent Study Time 152, Study Time in Lecture 28
Credit points 6
Course achievement None
Examination Presentation
Examination duration and scale 30 min
Assignment for the Following Curricula Materials Science: Core Qualification: Compulsory
Mechanical Engineering and Management: Specialisation Materials: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory
Course L1625: Advanced Functional Materials
Typ Seminar
Hrs/wk 2
CP 6
Workload in Hours Independent Study Time 152, 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
Cycle WiSe
Content

1. Porous Solids - Preparation, Characterization and Functionalities
2. Fluidics with nanoporous membranes
3. Thermoplastic elastomers
4. Optimization of polymer properties by nanoparticles
5. Fiber composites in automotive
6. Modeling of materials based on quantum mechanics
7. Biomaterials

Literature

Aktuelle Publikationen aus der Fachliteratur werden während der Veranstaltung bekanntgegeben.

Module M1170: Phenomena and Methods in Materials Science

Courses
Title Typ Hrs/wk CP
Experimental Methods for the Characterization of Materials (L1580) Lecture 2 2
Phase equilibria and transformations (L1579) Lecture 2 2
Übung zu Phänomene und Methoden der Materialwissenschaft (L2991) Recitation Section (large) 2 2
Module Responsible Prof. Jörg Weißmüller
Admission Requirements None
Recommended Previous Knowledge

Basic knowledge in Materials Science, e.g. Werkstoffwissenschaft I/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.
  • gather new necessary expertise by their own.
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula Chemical and Bioprocess Engineering: Specialisation General Process Engineering: Elective Compulsory
Chemical and Bioprocess Engineering: Specialisation Chemical Process Engineering: Elective Compulsory
International Management and Engineering: Specialisation II. Product Development and Production: Elective Compulsory
Materials Science: Core Qualification: Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Compulsory
Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory
Course L1580: Experimental Methods for the Characterization of Materials
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Shan Shi
Language EN
Cycle WiSe
Content
  • Structural characterization by photons, neutrons and electrons (in particular X-ray and neutron scattering, electron microscopy, tomography)
  • Mechanical and thermodynamical characterization methods (indenter measurements, mechanical compression and tension tests, specific heat measurements)
  • Characterization of optical, electrical and magnetic properties (spectroscopy, electrical conductivity and magnetometry)


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 L1579: Phase equilibria and transformations
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

Fundamentals of statistical physics, formal structure of phenomenological thermodynamics, simple atomistic models and free-energy functions of solid solutions and compounds. Corrections due to nonlocal interaction (elasticity, gradient terms). Phase equilibria and alloy phase diagrams as consequence thereof. Simple atomistic considerations for interaction energies in metallic solid solutions. Diffusion in real systems. Kinetics of phase transformations for real-life boundary conditions. Partitioning, stability and morphology at solidification fronts. Order of phase transformations; glass transition. Phase transitions in nano- and microscale systems.

Literature

D.A. Porter, K.E. Easterling, “Phase transformations in metals and alloys”, New York, CRC Press, Taylor & Francis, 2009, 3. Auflage

Peter Haasen, „Physikalische Metallkunde“ , Springer 1994

Herbert B. Callen, “Thermodynamics and an introduction to thermostatistics”, New York, NY: Wiley, 1985, 2. Auflage.

Robert W. Cahn und Peter Haasen, "Physical Metallurgy", Elsevier 1996

H. Ibach, “Physics of Surfaces and Interfaces” 2006, Berlin: Springer.

Course L2991: Übung zu Phänomene und Methoden der Materialwissenschaft
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Shan Shi
Language DE
Cycle WiSe
Content

Practice problems to practice and deepen the skills and content taught in the module.

Exercises explore mathematical details in greater depth with the aim of familiarizing students with equations/concepts and how to apply them in practice (e.g. defining thermodynamic potentials and relationships, calculating enthalpy and entropy of a solid solution, constructing phase diagrams, ...).


Literature

D.A. Porter, K.E. Easterling, “Phase transformations in metals and alloys”, New York, CRC Press, Taylor & Francis, 2009, 3. Auflage

Peter Haasen, „Physikalische Metallkunde“ , Springer 1994

Herbert B. Callen, “Thermodynamics and an introduction to thermostatistics”, New York, NY: Wiley, 1985, 2. Auflage.

Robert W. Cahn und Peter Haasen, "Physical Metallurgy", Elsevier 1996

H. Ibach, “Physics of Surfaces and Interfaces” 2006, Berlin: Springer.

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).

Module M1198: Materials Physics and Atomistic Materials Modeling

Courses
Title Typ Hrs/wk CP
Materials Physics (L1624) Lecture 2 2
Quantum Mechanics and Atomistic Materials Modeling (L1672) Lecture 2 2
Exercises in Materials Physics and Modeling (L2002) Recitation Section (small) 2 2
Module Responsible Prof. Patrick Huber
Admission Requirements None
Recommended Previous Knowledge Advanced mathematics, physics and chemistry for students in engineering or natural sciences
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students are able to 

- explain the fundamentals of condensed matter physics

- describe the fundamentals of the microscopic structure and mechanics, thermodynamics and optics of materials systems.

- to understand concept and realization of advanced methods in atomistic modeling as well as to estimate their potential and limitations.



Skills

After attending this lecture the students

  • can perform calculations regarding the thermodynamics, mechanics, electrical and optical properties of condensed matter systems
  • are able to transfer their knowledge to related technological and scientific fields, e.g. materials design problems.
  • can select appropriate model descriptions for specific materials science problems and are able to further develop simple models.


Personal Competence
Social Competence

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

Autonomy

Students are able to assess their knowldege continuously on their own by exemplified practice.

The students are able to assess their own strengths and weaknesses and 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 Materials Science: Core Qualification: Compulsory
Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory
Course L1624: Materials Physics
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 WiSe
Content
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


Course L1672: Quantum Mechanics and Atomistic Materials Modeling
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Robert Meißner
Language DE
Cycle WiSe
Content

- Why atomistic materials modeling
- Newton's equations of motion and numerical approaches
- Ergodicity
- Atomic models
- Basics of quantum mechanics
- Atomic & molecular many-electron systems
- Hartree-Fock and Density-Functional Theory
- Monte-Carlo Methods
- Molecular Dynamics Simulations
- Phase Field Simulations

Literature

Begleitliteratur zur Vorlesung (sortiert nach Relevanz):

  1. Daan Frenkel & Berend Smit „Understanding Molecular Simulations“
  2. Mark E. Tuckerman „Statistical Mechanics: Theory and Molecular Simulations“
  3. Andrew R. Leach „Molecular Modelling: Principles and Applications“

Zur Vorbereitung auf den quantenmechanischen Teil der Klausur empfiehlt sich folgende Literatur

  1. Regine Freudenstein & Wilhelm Kulisch "Wiley Schnellkurs Quantenmechanik"


Course L2002: Exercises in Materials Physics and Modeling
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Robert Meißner, Prof. Patrick Huber
Language DE
Cycle WiSe
Content
Literature

- Daan Frenkel & Berend Smit: Understanding Molecular Simulation from Algorithms to Applications

- Rudolf Gross und Achim Marx: Festkörperphysik

- Neil Ashcroft and David Mermin: Solid State Physics

Specialization Product Development and Production

At the center of the specialization „product development and production“ is the acquisition of knowledge and skills for developing, designing and manufacturing of mechanical engineering products. This includes product planning, systematic and methodical development of solution concepts, the design and construction of products with special emphasis on component stress and cost considerations, to the derivation and creation of manufacturing documentation and the implementation in production.

Module M0815: Product Planning

Courses
Title Typ Hrs/wk CP
Product Planning (L0851) Lecture 3 3
Product Planning Seminar (L0853) Project-/problem-based Learning 2 3
Module Responsible Prof. Cornelius Herstatt
Admission Requirements None
Recommended Previous Knowledge

Good basic-knowledge of Business Administration

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

Students will gain  insights into:

  • Product Planning
    • Process
    • Methods
  • Design thinking
    • Process
    • Methods
    • User integration
Skills

Students will gain deep insights into:

  • Product Planning
    • Process-related aspects
    • Organisational-related aspects
    • Human-Ressource related aspects
    • Working-tools, methods and instruments

Personal Competence
Social Competence
  • Interact within a team
  • Raise awareness for globabl issues
Autonomy
  • Gain access to knowledge sources
  • Interpret complex cases
  • Develop presentation skills
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes 20 % Subject theoretical and practical work
Examination Thesis
Examination duration and scale 90 minutes
Assignment for the Following Curricula Global Innovation Management: Core Qualification: Compulsory
International Management and Engineering: Specialisation I. Electives Management: Elective Compulsory
Mechanical Engineering and Management: Specialisation Management: Elective Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Course L0851: Product Planning
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Cornelius Herstatt
Language EN
Cycle WiSe
Content

Product Planning Process

This integrated lecture is designed to understand major issues, activities and tools in the context of systematic product planning, a key activity for managing the front-end of innovation, i.e.:
•    Systematic scanning of markets for innovation opportunities
•    Understanding strengths/weakness and specific core competences of a firm as platforms for innovation
•    Exploring relevant sources for innovation (customers, suppliers, Lead Users, etc.)
•    Developing ideas for radical innovation, relying on the creativeness of employees, using techniques to stimulate creativity and creating a stimulating environment
•    Transferring ideas for innovation into feasible concepts which have a high market attractively

Voluntary presentations in the third hour (articles / case studies)

- Guest lectures by researchers 

- Lecture on Sustainability with frequent reference to current research

- Permanent reference to current research

Examination:

In addition to the written exam at the end of the module, students have to attend the PBL-exercises and prepare presentations in groups in order to pass the module. Additionally, students have the opportunity to present research papers on a voluntary base.  With these presentations it is possible to gain a bonus of max. 20% for the exam. However, the bonus is only valid if the exam is passed without the bonus.

Literature Ulrich, K./Eppinger, S.: Product Design and Development, 2nd. Edition, McGraw-Hill 2010
Course L0853: Product Planning Seminar
Typ Project-/problem-based Learning
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Cornelius Herstatt
Language EN
Cycle WiSe
Content Seminar is integrative part of the Module Product Planning (for content see lecture) and can not be choosen independantly.
Literature See lecture information "Product Planning".

Module M0867: Production Planning & Control and Digital Enterprise

Courses
Title Typ Hrs/wk CP
The Digital Enterprise (L0932) Lecture 2 2
Production Planning and Control (L0929) Lecture 2 2
Production Planning and Control (L0930) Recitation Section (small) 1 1
Exercise: The Digital Enterprise (L0933) Recitation Section (small) 1 1
Module Responsible Prof. Hermann Lödding
Admission Requirements None
Recommended Previous Knowledge Fundamentals of Production and Quality Management
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge Students can explain the contents of the module in detail and take a critical position to them.
Skills Students are capable of choosing and applying models and methods from the module to industrial problems.
Personal Competence
Social Competence Students can develop joint solutions in mixed teams and present them to others.
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 Minuten
Assignment for the Following Curricula International Management and Engineering: Specialisation II. Product Development and Production: Elective Compulsory
Logistics, Infrastructure and Mobility: Specialisation Production and Logistics: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Course L0932: The Digital Enterprise
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Dr. Robert Rost
Language DE
Cycle WiSe
Content

Due to the developments of Industry 4.0, digitalization and interconnectivity become a strategic advantage for companies in the international competition. This lecture focuses on the relevant modules and enables the participants to evaluate current developments in this context. In particular, knowledge management, simulation, process modelling and virtual technologies are covered.

Content:

  • Business Process Management and Data Modelling, Simulation
  • Knowledge and Competence Management
  • Process Management (PPC, Workflow Management)
  • Computer Aided Planning (CAP) and NC-Programming
  • Virtual Reality (VR) and Augmented Reality (AR)
  • Computer Aided Quality Management (CAQ) 
  • Industry 4.0
Literature

Scheer, A.-W.: ARIS - vom Geschäftsprozeß zum Anwendungssystem. Springer-Verlag, Berlin 4. Aufl. 2002

Schuh, G. et. al.: Produktionsplanung und -steuerung, Springer-Verlag. Berlin 3. Auflage 2006

Becker, J.; Luczak, H.: Workflowmanagement in der Produktionsplanung und -steuerung. Springer-Verlag, Berlin 2004

Pfeifer, T; Schmitt, R.: Masing Handbuch Qualitätsmanagement. Hanser-Verlag, München 5. Aufl. 2007 

Kühn, W.: Digitale Fabrik. Hanser-Verlag, München 2006

Course L0929: Production Planning and Control
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Hermann Lödding
Language DE
Cycle WiSe
Content
  • Models of Production and Inventory Management
  • Production Programme Planning and Lot Sizing
  • Order and Capacity Scheduling
  • Selected Strategies of PPC
  • Manufacturing Control
  • Production Controlling
  • Supply Chain Management
Literature
  • Vorlesungsskript
  • Lödding, H: Verfahren der Fertigungssteuerung, Springer 2008
  • Nyhuis, P.; Wiendahl, H.-P.: Logistische Kennlinien, Springer 2002
Course L0930: Production Planning and Control
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Hermann Lödding
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L0933: Exercise: The Digital Enterprise
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dr. Robert Rost
Language DE
Cycle WiSe
Content

See interlocking course

Literature

Siehe korrespondierende Vorlesung

See interlocking course

Module M1182: Technical Elective Course for TMBMS (according to Subject Specific Regulations)

Courses
Title Typ Hrs/wk CP
Module Responsible Prof. Robert Seifried
Admission Requirements None
Recommended Previous Knowledge see FSPO
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge see FSPO
Skills see FSPO
Personal Competence
Social Competence see FSPO
Autonomy see FSPO
Workload in Hours Depends on choice of courses
Credit points 6
Assignment for the Following Curricula Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory

Module M1024: Methods of Product Development

Courses
Title Typ Hrs/wk CP
Methods of Product Development (L1254) Lecture 3 3
Methods of Product Development (L1255) Project-/problem-based Learning 2 3
Module Responsible Prof. Dieter Krause
Admission Requirements None
Recommended Previous Knowledge

Basic knowledge of Integrated product development and applying CAE systems

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 technical terms of design methodology,
  • describe essential elements of construction management,
  • describe current problems and the current state of research of integrated product development.
Skills

After passing the module students are able to:

  • select and apply proper construction methods for non-standardized solutions of problems as well as adapt new boundary conditions,
  • solve product development problems with the assistance of a workshop based approach,
  • choose and execute appropriate moderation techniques. 
Personal Competence
Social Competence

After passing the module students are able to:

  • prepare and lead team meetings and moderation processes,
  • work in teams on complex tasks,
  • represent problems and solutions and advance ideas.
Autonomy

After passing the module students are able to:

  • give a structured feedback and accept a critical feedback,
  • implement the accepted feedback autonomous.
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Oral exam
Examination duration and scale 30 Minuten
Assignment for the Following Curricula Aircraft Systems Engineering: Core Qualification: Elective Compulsory
International Management and Engineering: Specialisation II. Product Development and Production: Elective Compulsory
Aeronautics: Core Qualification: Elective Compulsory
Mechatronics: Specialisation System Design: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Product Development, Materials and Production: Specialisation Product Development: Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Course L1254: Methods of Product Development
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Dieter Krause
Language DE
Cycle WiSe
Content

Lecture

The lecture extends and enhances the learned content of the module “Integrated Product Development and lightweight design” and is based on the knowledge and skills acquired there.

Topics of the course include in particular:

  • Methods of product development,
  • Presentation techniques,
  • Industrial Design,
  • Design for variety
  • Modularization methods,
  • Design catalogs,
  • Adapted QFD matrix,
  • Systematic material selection,
  • Assembly oriented design,

Construction management

  • CE mark, declaration of conformity including risk assessment,
  • Patents, patent rights, patent monitoring
  • Project management (cost, time, quality) and escalation principles,
  • Development management for mechatronics,
  • Technical Supply Chain Management.

Exercise (PBL)

In the exercise the content presented in the lecture “Integrated Product Development II” and methods of product development and design management will be enhanced.

Students learn an independently moderated and workshop based approach through industry related practice examples to solve complex and currently existing issues in product development. They will learn the ability to apply important methods of product development and design management autonomous and acquire further expertise in the field of integrated product development. Besides personal skills, such as teamwork, guiding discussions and representing work results will be acquired through the workshop based structure of the event under its own planning and management.


Literature
  • Andreasen, M.M., Design for Assembly, Berlin, Springer 1985.
  • Ashby, M. F.: Materials Selection in Mechanical Design, München, Spektrum 2007.
  • Beckmann, H.: Supply Chain Management, Berlin, Springer 2004.
  • Hartmann, M., Rieger, M., Funk, R., Rath, U.: Zielgerichtet moderieren. Ein Handbuch für Führungskräfte, Berater und Trainer, Weinheim, Beltz 2007.
  • Pahl, G., Beitz, W.: Konstruktionslehre, Berlin, Springer 2006.
  • Roth, K.H.: Konstruieren mit Konstruktionskatalogen, Band 1-3, Berlin, Springer 2000.
  • Simpson, T.W., Siddique, Z., Jiao, R.J.: Product Platform and Product Family Design. Methods and Applications, New York, Springer 2013.
Course L1255: Methods of Product Development
Typ Project-/problem-based Learning
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Dieter Krause
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1209: Selected Topics of Product Development, Materials Science and Production (Alternative B: 6 LP)

Courses
Title Typ Hrs/wk CP
Applied Automation (L1592) Project-/problem-based Learning 3 3
Advanced Training Course SE-ZERT (L2739) Project-/problem-based Learning 2 3
Elements of Integrated Production Systems (L0927) Project-/problem-based Learning 2 3
Development Management for Mechatronics (L1512) Lecture 2 3
Fatigue & Damage Tolerance (L0310) Lecture 2 3
GSD - Generational Sheet-Metal Development (L3064) Lecture 3 3
Industry 4.0 for Engineers (L2012) Lecture 2 3
Innovation and Product Management (L2168) Seminar 2 3
Lightweight Design Practical Course (L1258) Project-/problem-based Learning 3 3
Mechanisms and Systems of Materials Testing - from the viewpoint of product development and Failure Analysis (L0950) Lecture 2 2
Microsystems Technology (L0724) Lecture 2 4
Sustainable Industrial Production (L2863) Lecture 2 4
Productivity Management (L0928) Project-/problem-based Learning 2 2
Productivity Management (L0931) Recitation Section (small) 1 1
Feedback Control in Medical Technology (L0664) Lecture 2 3
Structural Mechanics of Fibre Reinforced Composites (L1514) Lecture 2 3
Technical Design (L1513) Lecture 2 3
Materials Testing - from the viewpoint of industrial application (L0949) Lecture 2 2
Reliability in Engineering Dynamics (L2994) Lecture 2 2
Reliability in Engineering Dynamics (L2995) Recitation Section (small) 1 2
Reliability of Aircraft Systems (L0749) Lecture 2 3
Module Responsible Prof. Dieter Krause
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 express their extended knowledge and discuss the connection of different special fields or application areas of product development, materials and production
  • Students are qualified to connect different special fields with each other
Skills
  • Students can apply specialized solution strategies and new scientific methods in selected areas
  • Students are able to transfer learned skills to new and unknown problems and can develop own solution approaches
Personal Competence
Social Competence -
Autonomy
  • Students are able to develop their knowledge and skills by autonomous election of courses.
Workload in Hours Depends on choice of courses
Credit points 6
Assignment for the Following Curricula Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Course L1592: Applied Automation
Typ Project-/problem-based Learning
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Examination Form Mündliche Prüfung
Examination duration and scale 30 Minuten
Lecturer Prof. Thorsten Schüppstuhl
Language DE
Cycle WiSe
Content
-Project Based Learning
-Robot Operating System
-Robot structure and description
-Motion description
-Calibration
-Accuracy
Literature
John J. Craig
Introduction to Robotics - Mechanics and Control 
ISBN: 0131236296
 Pearson Education, Inc., 2005

Stefan Hesse
Grundlagen der Handhabungstechnik
ISBN: 3446418725
 München Hanser, 2010

K. Thulasiraman and M. N. S. Swamy
Graphs: Theory and Algorithms
ISBN: 9781118033104  %CITAVIPICKER£9781118033104£Titel anhand dieser ISBN in Citavi-Projekt übernehmen£%
John Wüey & Sons, Inc., 1992
Course L2739: Advanced Training Course SE-ZERT
Typ Project-/problem-based Learning
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 120 min
Lecturer Prof. Ralf God
Language DE
Cycle SoSe
Content
Literature

INCOSE Systems Engineering Handbuch - Ein Leitfaden für Systemlebenszyklus-Prozesse und -Aktivitäten, GfSE (Hrsg. der deutschen Übersetzung), ISBN 978-3-9818805-0-2.

ISO/IEC 15288 System- und Software-Engineering - System-Lebenszyklus-Prozesse (Systems and Software Engineering - System Life Cycle Processes).

Course L0927: Elements of Integrated Production Systems
Typ Project-/problem-based Learning
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 90 Minuten
Lecturer Prof. Hermann Lödding
Language DE
Cycle SoSe
Content not available
Literature

Harris, R.; Harris, C.; Wilson, E.: Making Materials Flow, Lean Enterprise Institute, Cambridge, 2003.

Ohno, T.: Das Toyota-Produktionssystem, Campus-Verlag, Frankfurt et al, 1993.

Rother, M.: Die Kata des Weltmarktführers. Toyotas Erfolgsmethoden, Campus-Verlag, Frankfurt et al, 2009.

Rother, M.; Shook, J.: Sehen lernen: Mit Wertstromdesign die Wertschöpfung erhöhen und Verschwendung beseitigen, Lean Management Institut, Aachen, 2006.

Rother, M.; Harris, R.: Creating Continuous Flow, Lean Enterprise Institute, Brookline, 2001.

Shingo, S.: A Revolution in Manufacturing. The SMED System, Productivity Press, 2006.

Womack, J. P. et al: Die zweite Revolution in der Autoindustrie, Frankfurt/New York, Campus Verlag, 1992.

Course L1512: Development Management for Mechatronics
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Mündliche Prüfung
Examination duration and scale 30 Minuten
Lecturer NN, Dr. Johannes Nicolas Gebhardt
Language DE
Cycle SoSe
Content
  • Processes and methods of product development - from idea to market launch
    • identification of market and technology potentials
    • development of a common product architecture
    • Synchronized product development across all engineering disciplines
    • product validation incl. customer view
  • Steering and optimization of product development
    • Design of processes for product development
    • IT systems for product development
    • Establishment of management standards
    • Typical types of organization
Literature
  • Bender: Embedded Systems - qualitätsorientierte Entwicklung 
  • Ehrlenspiel: Integrierte Produktentwicklung: Denkabläufe, Methodeneinsatz, Zusammenarbeit 
  • Gausemeier/Ebbesmeyer/Kallmeyer: Produktinnovation - Strategische Planung und Entwicklung der Produkte von morgen
  • Haberfellner/de Weck/Fricke/Vössner: Systems Engineering: Grundlagen und Anwendung
  • Lindemann: Methodische Entwicklung technischer Produkte: Methoden flexibel und situationsgerecht anwenden
  • Pahl/Beitz: Konstruktionslehre: Grundlagen erfolgreicher Produktentwicklung. Methoden und Anwendung 
  • VDI-Richtlinie 2206: Entwicklungsmethodik für mechatronische Systeme

Course L0310: Fatigue & Damage Tolerance
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Mündliche Prüfung
Examination duration and scale 45 min
Lecturer Dr. Martin Flamm
Language EN
Cycle WiSe
Content Design principles, fatigue strength, crack initiation and crack growth, damage calculation, counting methods, methods to improve fatigue strength, environmental influences
Literature Jaap Schijve, Fatigue of Structures and Materials. Kluver Academic Puplisher, Dordrecht, 2001 E. Haibach. Betriebsfestigkeit Verfahren und Daten zur Bauteilberechnung. VDI-Verlag, Düsseldorf, 1989
Course L3064: GSD - Generational Sheet-Metal Development
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Examination Form Mündliche Prüfung
Examination duration and scale 30 min
Lecturer Prof. Dr. Nikola Bursac
Language DE
Cycle WiSe
Content

Experience in mechanical engineering design and the fundamentals of manufacturing engineering

After successful completion of the course, students will be able to explain development projects using the theory of product generation engineering and explain design rules for sheet metal development.

After successful completion of the course, students will be able to apply the theory of product generation engineering to development tasks and develop sheet-metal products suitable for production.

After successful completion of the course, students will be able to develop a product in a team and to compete against other teams. 

After successful completion of the course, students will be able to independently access knowledge required for sheet metal development.

Literature
Course L2012: Industry 4.0 for Engineers
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 120 min
Lecturer Prof. Thorsten Schüppstuhl
Language DE
Cycle SoSe
Content
Literature
Course L2168: Innovation and Product Management
Typ Seminar
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Mündliche Prüfung
Examination duration and scale 30 min
Lecturer Dr. Christoph Fuchs
Language DE
Cycle SoSe
Content
Literature
Course L1258: Lightweight Design Practical Course
Typ Project-/problem-based Learning
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Examination Form Mündliche Prüfung
Examination duration and scale 30 min
Lecturer Prof. Dieter Krause
Language DE/EN
Cycle SoSe
Content

Development of a sandwich structure made of fibre reinforced plastics

  • getting familiar with fibre reinforced plastics as well as lightweight design
  • Design of a sandwich structure made of fibre reinforced plastics using finite element analysis (FEA)
  • Determination of material properties based on sample tests
  • manufacturing of the structure in the composite lab
  • Testing of the developed structure
  • Concept presentation
  • Self-organised teamwork
Literature
  • Schürmann, H., „Konstruieren mit Faser-Kunststoff-Verbunden“, Springer, Berlin, 2005.
  • Puck, A., „Festigkeitsanalsyse von Faser-Matrix-Laminaten“, Hanser, München, Wien, 1996.
  • R&G, „Handbuch Faserverbundwerkstoffe“, Waldenbuch, 2009.
  • VDI 2014 „Entwicklung von Bauteilen aus Faser-Kunststoff-Verbund“
  • Ehrenstein, G. W., „Faserverbundkunststoffe“, Hanser, München, 2006.
  • Klein, B., „Leichtbau-Konstruktion", Vieweg & Sohn, Braunschweig, 1989.
  • Wiedemann, J., „Leichtbau Band 1: Elemente“, Springer, Berlin, Heidelberg, 1986.
  • Wiedemann, J., „Leichtbau Band 2: Konstruktion“, Springer, Berlin, Heidelberg, 1986.
  • Backmann, B.F., „Composite Structures, Design, Safety and Innovation”, Oxford (UK), Elsevier, 2005.
  • 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.
Course L0950: Mechanisms and Systems of Materials Testing - from the viewpoint of product development and Failure Analysis
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 90 Minuten
Lecturer Dr. Jan Oke Peters
Language DE
Cycle SoSe
Content

Application, analysis and discussion of basic and advanced testing methods to ensure correct selection of applicable testing procedure for investigation of part/materials deficiencies

  • Stress-strain relationships
  • Strain gauge application
  • Visko elastic behavior
  • Tensile test (strain hardening, necking, strain rate)
  • Compression test, bending test, torsion test
  • Crack growth upon static loading (J-Integral)                                
  • Crack growth upon cyclic loading (micro- und macro cracks)
  • Effect of notches
  • Creep testing (physical creep test, influence of stress and temperature, Larson Miller parameter)
  • Wear testing
  • Non destructive testing application for overhaul of jet engines
Literature
  • E. Macherauch: Praktikum in Werkstoffkunde, Vieweg
  • G. E. Dieter: Mechanical Metallurgy, McGraw-Hill            
  • R. Bürgel: Lehr- und Übungsbuch Festigkeitslehre, Vieweg                        
  • R. Bürgel: Werkstoffe sícher beurteilen und richtig einsetzen, Vieweg
Course L0724: Microsystems Technology
Typ Lecture
Hrs/wk 2
CP 4
Workload in Hours Independent Study Time 92, Study Time in Lecture 28
Examination Form Mündliche Prüfung
Examination duration and scale 30 min
Lecturer Prof. Hoc Khiem Trieu
Language EN
Cycle WiSe
Content
  • Introduction (historical view, scientific and economic relevance, scaling laws)
  • Semiconductor Technology Basics, Lithography (wafer fabrication, photolithography, improving resolution, next-generation lithography, nano-imprinting, molecular imprinting)
  • Deposition Techniques (thermal oxidation, epitaxy, electroplating, PVD techniques: evaporation and sputtering; CVD techniques: APCVD, LPCVD, PECVD and LECVD; screen printing)
  • Etching and Bulk Micromachining (definitions, wet chemical etching, isotropic etch with HNA, electrochemical etching, anisotropic etching with KOH/TMAH: theory, corner undercutting, measures for compensation and etch-stop techniques; plasma processes, dry etching: back sputtering, plasma etching, RIE, Bosch process, cryo process, XeF2 etching)
  • Surface Micromachining and alternative Techniques (sacrificial etching, film stress, stiction: theory and counter measures; Origami microstructures, Epi-Poly, porous silicon, SOI, SCREAM process, LIGA, SU8, rapid prototyping)
  • Thermal and Radiation Sensors (temperature measurement, self-generating sensors: Seebeck effect and thermopile; modulating sensors: thermo resistor, Pt-100, spreading resistance sensor, pn junction, NTC and PTC; thermal anemometer, mass flow sensor, photometry, radiometry, IR sensor: thermopile and bolometer)
  • Mechanical Sensors (strain based and stress based principle, capacitive readout, piezoresistivity,  pressure sensor: piezoresistive, capacitive and fabrication process; accelerometer: piezoresistive, piezoelectric and capacitive; angular rate sensor: operating principle and fabrication process)
  • Magnetic Sensors (galvanomagnetic sensors: spinning current Hall sensor and magneto-transistor; magnetoresistive sensors: magneto resistance, AMR and GMR, fluxgate magnetometer)
  • Chemical and Bio Sensors (thermal gas sensors: pellistor and thermal conductivity sensor; metal oxide semiconductor gas sensor, organic semiconductor gas sensor, Lambda probe, MOSFET gas sensor, pH-FET, SAW sensor, principle of biosensor, Clark electrode, enzyme electrode, DNA chip)
  • Micro Actuators, Microfluidics and TAS (drives: thermal, electrostatic, piezo electric and electromagnetic; light modulators, DMD, adaptive optics, microscanner, microvalves: passive and active, micropumps, valveless micropump, electrokinetic micropumps, micromixer, filter, inkjet printhead, microdispenser, microfluidic switching elements, microreactor, lab-on-a-chip, microanalytics)
  • MEMS in medical Engineering (wireless energy and data transmission, smart pill, implantable drug delivery system, stimulators: microelectrodes, cochlear and retinal implant; implantable pressure sensors, intelligent osteosynthesis, implant for spinal cord regeneration)
  • Design, Simulation, Test (development and design flows, bottom-up approach, top-down approach, testability, modelling: multiphysics, FEM and equivalent circuit simulation; reliability test, physics-of-failure, Arrhenius equation, bath-tub relationship)
  • System Integration (monolithic and hybrid integration, assembly and packaging, dicing, electrical contact: wire bonding, TAB and flip chip bonding; packages, chip-on-board, wafer-level-package, 3D integration, wafer bonding: anodic bonding and silicon fusion bonding; micro electroplating, 3D-MID)


Literature

M. Madou: Fundamentals of Microfabrication, CRC Press, 2002

N. Schwesinger: Lehrbuch Mikrosystemtechnik, Oldenbourg Verlag, 2009

T. M. Adams, R. A. Layton:Introductory MEMS, Springer, 2010

G. Gerlach; W. Dötzel: Introduction to microsystem technology, Wiley, 2008

Course L2863: Sustainable Industrial Production
Typ Lecture
Hrs/wk 2
CP 4
Workload in Hours Independent Study Time 92, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 60 min
Lecturer Dr. Simon Markus Kothe
Language DE
Cycle SoSe
Content

Industrial production deals with the manufacture of physical products to satisfy human needs using various manufacturing processes that change the form and physical properties of raw materials. Manufacturing is a central driver of economic development and has a major impact on the well-being of humanity. However, the scale of current manufacturing activities results in enormous global energy and material demands that are harmful to both the environment and people. Historically, industrial activities were mostly oriented towards economic constraints, while social and environmental consequences were only hardly considered. As a result, today's global consumption rates of many resources and associated emissions often exceed the natural regeneration rate of our planet. In this respect, current industrial production can mostly be described as unsustainable. This is emphasized each year by the Earth Overshoot Day, which marks the day when humanity's ecological footprint exceeds the Earth's annual regenerative capacity. 

This lecture aims to provide the motivation, analytical methods as well as approaches for sustainable industrial production and to clarify the influence of the production phase in relation to the raw material, use and recycling phases in the entire life cycle of products. For this, the following topics will be highlighted:

- Motivation for sustainable production, the 17 Sustainable Development Goals (SDGs) of the UN and their relevance for tomorrow's manufacturing;

- raw material vs. production phase vs. use phase vs. recycling/end-of-life phase: importance of the production phase for the environmental impact of manufactured products;

- Typical energy- and resource-intensive processes in industrial production and innovative approaches to increase energy and resource efficiency;

- Methodology for optimizing the energy and resource efficiency of industrial manufacturing chains with the three steps of modeling (1), evaluating (2) and improving (3);

- Resource efficiency of industrial manufacturing value chains and its assessment using life cycle analysis (LCA);

- Exercise: LCA analysis of a manufacturing process (thermoplastic joining of an aircraft fuselage segment) as part of a product life cycle assessment.


Literature

Literatur:

- Stefan Alexander (2020): Resource efficiency in manufacturing value chains. Cham: Springer International Publishing.

- Hauschild, Michael Z.; Rosenbaum, Ralph K.; Olsen, Stig Irving (Hg.) (2018): Life Cycle Assessment. Theory and Practice. Cham: Springer International Publishing.

- Kishita, Yusuke; Matsumoto, Mitsutaka; Inoue, Masato; Fukushige, Shinichi (2021): EcoDesign and sustainability. Singapore: Springer.

- Schebek, Liselotte; Herrmann, Christoph; Cerdas, Felipe (2019): Progress in Life Cycle Assessment. Cham: Springer International Publishing.

- Thiede, Sebastian; Hermann, Christoph (2019): Eco-factories of the future. Cham: Springer Nature Switzerland AG.

- Vorlesungsskript.

Course L0928: Productivity Management
Typ Project-/problem-based Learning
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 90 Minuten
Lecturer Prof. Hermann Lödding, Christopher Mundt
Language DE
Cycle SoSe
Content
  • Principles of productivity management
  • Shop floor management and standardisation
  • Takt analysis and design of manual operations
  • Maintenance Principles
  • Total Productive Maintenance (TPM)
  • Optimisation of set-up operations
  • Analysis of interlinked production systems
Literature

Bokranz, R.; Landau, K.:Produktivitätsmanagement von Arbeitssystemen. Schäffer-Poeschel, Stuttgart, 2006.

Takeda, H.: Das synchrone Produktionssystem: Just-in-Time für das ganze Unternehmen. 5. Aufl., mi-Wirtschaftsbuch, FinanzBuch Verlag, München, 2006.

Nakajima, S.: Management der Produktionseinrichtungen (Total Productive Maintenance). Campus Verlag, New York, 1995.

Shingo, S.: A Revolution in Manufacturing: The SMED System. Productivity, Inc., 1985

Course L0931: Productivity Management
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Examination Form Klausur
Examination duration and scale 90 Minuten
Lecturer Prof. Hermann Lödding
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L0664: Feedback Control in Medical Technology
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Mündliche Prüfung
Examination duration and scale 20 min
Lecturer Johannes Kreuzer, Christian Neuhaus
Language DE
Cycle SoSe
Content

Always viewed from the engineer's point of view, the lecture is structured as follows:

  •     Introduction to the topic
  •     Fundamentals of physiological modelling
  •     Introduction to Breathing and Ventilation
  •     Physiology and Pathology in Cardiology
  •     Introduction to the Regulation of Blood Glucose
  •     kidney function and renal replacement therapy
  •     Representation of the control technology on the concrete ventilator
  •     Excursion to a medical technology company

Techniques of modeling, simulation and controller development are discussed. In the models, simple equivalent block diagrams for physiological processes are derived and explained how sensors, controllers and actuators are operated. MATLAB and SIMULINK are used as development tools.

Literature
  • Leonhardt, S., & Walter, M. (2016). Medizintechnische Systeme. Berlin, Heidelberg: Springer Vieweg.
  • Werner, J. (2005). Kooperative und autonome Systeme der Medizintechnik. München: Oldenbourg.
  • Oczenski, W. (2017). Atmen : Atemhilfen ; Atemphysiologie und Beatmungstechnik: Georg Thieme Verlag KG.
Course L1514: Structural Mechanics of Fibre Reinforced Composites
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Mündliche Prüfung
Examination duration and scale 30 min
Lecturer Prof. Benedikt Kriegesmann
Language EN
Cycle WiSe
Content

Classical laminate theory

Rules of mixture

Failure mechanisms and criteria of composites

Boundary value problems of isotropic and anisotropic shells

Stability of composite structures

Optimization of laminated composites

Modelling composites in FEM

Numerical multiscale analysis of textile composites   

Progressive failure analysis   

Literature
  • Schürmann, H., „Konstruieren mit Faser-Kunststoff-Verbunden“, Springer, Berlin, aktuelle Auflage.
  • Wiedemann, J., „Leichtbau Band 1: Elemente“, Springer, Berlin, Heidelberg, , aktuelle Auflage.
  • Reddy, J.N., „Mechanics of Composite Laminated Plates and Shells”, CRC Publishing, Boca Raton et al., current edition.
  • Jones, R.M., „Mechanics of Composite Materials“, Scripta Book Co., Washington, current edition.
  • Timoshenko, S.P., Gere, J.M., „Theory of elastic stability“, McGraw-Hill Book Company, Inc., New York, current edition.
  • Turvey, G.J., Marshall, I.H., „Buckling and postbuckling of composite plates“, Chapman and Hall, London, current edition.
  • Herakovich, C.T., „Mechanics of fibrous composites“, John Wiley and Sons, Inc., New York, current edition.
  • Mittelstedt, C., Becker, W., „Strukturmechanik ebener Laminate”, aktuelle Auflage.
Course L1513: Technical Design
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Schriftliche Ausarbeitung
Examination duration and scale 10-15 Entwurfszeichnungen, Skizzen und ca. 5-10 A4-Dokumentationsseiten (Themen- und Entwurfsbegründung)
Lecturer Prof. Werner Granzeier, Prof. Dieter Krause
Language DE
Cycle SoSe
Content
  • Basics with analysis, concept, proposal drawings and sketches 
  • Samples from practice of technical industrial design
  • Product concept with new ideas and package
  • ID proposal with structural concept and external product ergonomics
  • Visualisation and presentation of the overall concept
  • Realization as individual case studies

Literature

Literatur über technisches Produktdesign

Technisches Rendering und Präsentation

Zeichnen und perspektivisches Entwerfen

Literaturhinweise

What is Product Design ?

Laura Slack

RotoVision Schweiz 2006

Product Design Now

Design and Scetches

CollinsDesign and maomao publications  Spanien 2006

Ronald B. Kemnitzer, Rendering With Markers - Definitive Techniques

for Designers, Illustrators and Architects, 

Watson, Guptil Puplications,a division of Billboard Publications Inc., 

New York 1983

Creative Techniques

DRAWING 

Barons Educational  Series

ISBN-13: 978-0-7641-6182-7

Joseph Ungar, Rendering In Mixed Media - Techniques for Concept 

Presentation for Designers and Illustrators

Watson-Guptil Publication a division of Billboard Publications Inc., 

New York 1985

AIRWORLD

Design und Architektur für die Flugreise

Vitra Design Stiftung   Weil am Rhein 2004

Airline Design

Perter Deslius  Jacek Slaski  te Neues 2005

Technik und Sicherheit von Passagierflugzeugen

Frank Littek

Motorbuch Verlag  2003

Jetliner Cabins

Jennifer Coutts Clay

Cs books   England 2006

BOEING Widebodies

Michael Haenggi   motorbooks international  USA  2003

form - Zeitschrift für Gestaltung, Verlag form GmbH, 

Hofgut Ober-Berrbach, 6104 Seeheim-Jugenheim

(erscheint vierteljährlich, Verlag form GmbH ) 

design report

german magasin,

(erscheint monatlich)

md - möbel interior design, Konradin-Verlag

Robert Kohlhammer GmbH, 7022 Leinfelden-Echterdingen

(erscheint monatlich)

CAR STYLING, Car Styling Publishing Co. 4-8-16-11F, 

Kitashinjuku, Shinjuku-ku, Tokio 160, Japan

(erscheint vierteljährlich in japanischer und englischer Sprache, in Hamburg erhältlich bei: Overseas Courier Service Deutschland GmbH, 

Auto & Design, 

Corso Frabcia 161, 10139 Torino, Italia

(erscheint vierteljährlich in italienischer und englischer Sprache alle zwei 

Monate , erhältlich am HBF Hamburg 

AERO International,

Magazin für Zivilluftfahrt

(erscheint monatlich)

Aircraft interior international

Engl. magasin for  Aircraft  cabin interior

(erscheint 2 monatlich)

aerotec

Technik- und Branchenmagazin für die Luft- und Raumfahrtindustrie


Course L0949: Materials Testing - from the viewpoint of industrial application
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 90 Minuten
Lecturer Dr. Jan Oke Peters
Language DE
Cycle WiSe
Content


Application and analysis of basic mechanical as well as non-destructive testing of materials  

  • Determination elastic constants                                                                                                                    
  • Tensile test
  • Fatigue test (testing with constant stress, strain, or plastiv strain amplitude, low and high cycle fatigue, mean stress effect)
  • Crack growth upon static loading (stress intensity factor, fracture toughness)
  • Creep test
  • Hardness test
  • Charpy impact test
  • Non destructive testing
Literature

E. Macherauch: Praktikum in Werkstoffkunde, Vieweg
G. E. Dieter: Mechanical Metallurgy, McGraw-Hill

Course L2994: Reliability in Engineering Dynamics
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 90 min
Lecturer Dr. Eric Groß, Prof. Benedikt Kriegesmann
Language EN
Cycle SoSe
Content

Method for calculation and testing of reliability of dynamic machine systems

Modeling

System identification

Simulation

Processing of measurement data

Damage accumulation

Test planning and execution

Literature

Bertsche, B.: Reliability in Automotive and Mechanical Engineering. Springer, 2008. ISBN: 978-3-540-33969-4

Inman, Daniel J.: Engineering Vibration. Prentice Hall, 3rd Ed., 2007. ISBN-13: 978-0132281737

Dresig, H., Holzweißig, F.: Maschinendynamik, Springer Verlag, 9. Auflage, 2009. ISBN 3540876936.

VDA (Hg.): Zuverlässigkeitssicherung bei Automobilherstellern und Lieferanten. Band 3 Teil 2, 3. überarbeitete Auflage, 2004. ISSN 0943-9412

Course L2995: Reliability in Engineering Dynamics
Typ Recitation Section (small)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Examination Form Klausur
Examination duration and scale 90 min
Lecturer Prof. Benedikt Kriegesmann, Dr. Eric Groß
Language EN
Cycle SoSe
Content

Method for calculation and testing of reliability of dynamic machine systems

Modeling

System identification

Simulation

Processing of measurement data

Damage accumulation

Test planning and execution

Literature

Bertsche, B.: Reliability in Automotive and Mechanical Engineering. Springer, 2008. ISBN: 978-3-540-33969-4

Inman, Daniel J.: Engineering Vibration. Prentice Hall, 3rd Ed., 2007. ISBN-13: 978-0132281737

Dresig, H., Holzweißig, F.: Maschinendynamik, Springer Verlag, 9. Auflage, 2009. ISBN 3540876936.

VDA (Hg.): Zuverlässigkeitssicherung bei Automobilherstellern und Lieferanten. Band 3 Teil 2, 3. überarbeitete Auflage, 2004. ISSN 0943-9412

Course L0749: Reliability of Aircraft Systems
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 90 Minuten
Lecturer Prof. Frank Thielecke, Dr. Andreas Vahl, Dr. Uwe Wieczorek
Language DE
Cycle WiSe
Content
  • Functions of reliability and safety (regulations, certification requirements)
  • Basics methods of reliability analysis (FMEA, fault tree, functional hazard assessment)
  • Reliability analysis of electrical and mechanical systems


Literature
  • CS 25.1309
  • SAE ARP 4754
  • SAE ARP 4761

Module M1151: Materials Modeling

Courses
Title Typ Hrs/wk CP
Material Modeling (L1535) Lecture 2 3
Material Modeling (L1536) Recitation Section (small) 2 3
Module Responsible Prof. Christian Cyron
Admission Requirements None
Recommended Previous Knowledge

Basics of mechanics as taught, e.g., in the modules Engineering Mechanics I and Engineering Mechanics II at TUHH (forces and moments, stress, linear strain, free-body principle, linear-elastic constitutive laws, strain energy); basics of mathematics as taught, e.g., in the modules Mathematics I and Mathematics II at TUHH

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge The students understand the theoretical foundations of anisotropic elasticity, viscoelasticity and elasto-plasticity in the realm of three-dimensional (linear) continuum mechanics. In the area of anisotropic elasticity, they know the concept of material symmetry and its application in orthotropic, transversely isotropic and isotropic materials. They understand the concept of stiffness and compliance and how both can be characterized by appropriate parameters. Moreover, the students understand viscoelasticity both in the time and frequency domain using the concepts of relaxation modulus, creep modulus, storage modulus and loss modulus. In the area of elasto-plasticity, the students know the concept of yield stress or (in higher dimensions) yield surface and of plastic potential. Additionally, the know the concepts of ideal plasticity, hardening and weakening. Moreover, they know von-Mises plasticity as a specific model of elasto-plasticity. 
Skills The students can independently identify and solve problems in the area of materials modeling and acquire the knowledge to do so. This holds in particular for the area fo anisotropically elastic, viscoelastic and elasto-plastic material behavior. In these areas, the students can independently develop models for complex material behavior. To this end, they have the ability to read and understand relevant literature and identify the relevant results reported there. Moreover, they can implement models which they developed or found in the literature in computational software (e.g., based on the finite element method) and use it for practical calculations.
Personal Competence
Social Competence

The students are able to develop constitutive models for materials and present them to specialists. Moreover, they have the ability to discuss challenging problems of materials modeling with experts using the proper terminoloy, to identify and ask critical questions in such discussions and to identify and discuss potential caveats in models presented to them.


Autonomy

The students have the ability to independently develop abstract models that allow them to classify observed phenomena within an more general abstract framework and to predict their further evolution. Moreover, the students understand the advantages but also limitations of mathematical models and can thus independently decide when and to which extent they make sense as a basis for decisions.



Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 60 min
Assignment for the Following Curricula Materials Science: Specialisation Modeling: Elective Compulsory
Mechanical Engineering and Management: Specialisation Materials: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Product Development, Materials and Production: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Course L1535: Material Modeling
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Christian Cyron
Language DE
Cycle WiSe
Content

One of the most important questions when modeling mechanical systems in practice is how to model the behavior of the materials of their different components. In addition to simple isotropic elasticity in particular the following phenomena play key roles

- anisotropy (material behavior depending on direction, e.g., in fiber-reinforced materials)
- plasticity (permanent deformation due to one-time overload, e.g., in metal forming)
- viscoelasticity (absorption of energy, e.g., in dampers)
- creep (slow deformation under permanent load, e.g., in pipes)

This lecture briefly introduces the theoretical foundations and mathematical modeling of the above phenomena. It is complemented by exercises where simple examples problems are solved by calculations and where the implementation of the content of the lecture in computer simulations is explained. It will also briefly discussed how important material parameters can be determined from experimental data.

Literature

Empfohlene Literatur / Recommended literature:
1) Dietmar Gross, Werner Hauger, Peter Wriggers, Technische Mechanik 4, Springer 2018, DOI: 10.1007/978-3-662-55694-8
2) Peter Haupt, Continuum Mechanics and Theory of Materials, Springer 2002, DOI: 10.1007/978-3-662-04775-0

Course L1536: Material Modeling
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Christian Cyron
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1281: Advanced Topics in Vibration

Courses
Title Typ Hrs/wk CP
Advanced Topics in Vibration (L1743) Project-/problem-based Learning 4 6
Module Responsible Prof. Norbert Hoffmann
Admission Requirements None
Recommended Previous Knowledge Vibration Theory
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students are able to reflect existing terms and concepts of Advanced Vibrations.
  • Students are able to identify the need to develop and research new terms and concepts in vibrations.
Skills
  • Students are able to apply existing methods and procesures of Advanced Vibrations. 
  • Students are able to develop novel methods and procedures for advanced vibration problems.
Personal Competence
Social Competence
  • Students can reach working results also in groups.
  • Students can present working results also in groups.
Autonomy
  • Students are able to approach given research tasks individually
  • Students are able to identify and follow up novel research tasks by themselves.
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 2 Hours
Assignment for the Following Curricula Mechatronics: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory
Course L1743: Advanced Topics in Vibration
Typ Project-/problem-based Learning
Hrs/wk 4
CP 6
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Lecturer Prof. Norbert Hoffmann
Language DE/EN
Cycle SoSe
Content

Advanced and Research Topics in Vibrations

  • Rotor Dynamics
  • Modal Analysis
  • Model Order Reduction
  • Stability of Periodic Solutions
  • Random Vibrations
Literature

Aktuelle Veröffentlichungen / Recent research publications

Bücher/Books:

Gasch, Nordmann, Pfützner: Rotordynamik

Gasch, Knothe, Liebich: Strukturdynamik

Module M0805: Technical Acoustics I (Acoustic Waves, Noise Protection, Psycho Acoustics )

Courses
Title Typ Hrs/wk CP
Technical Acoustics I (Acoustic Waves, Noise Protection, Psycho Acoustics ) (L0516) Lecture 2 3
Technical Acoustics I (Acoustic Waves, Noise Protection, Psycho Acoustics ) (L0518) Recitation Section (large) 2 3
Module Responsible Prof. Benedikt Kriegesmann
Admission Requirements None
Recommended Previous Knowledge

Mechanics I (Statics, Mechanics of Materials) and Mechanics II (Hydrostatics, Kinematics, Dynamics)

Mathematics I, II, III (in particular differential equations)

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

The students possess an in-depth knowledge in acoustics regarding acoustic waves, noise protection, and psycho acoustics and are able to give an overview of the corresponding theoretical and methodical basis.

Skills

The students are capable to handle engineering problems in acoustics by theory-based application of the demanding methodologies and measurement procedures treated within the module.

Personal Competence
Social Competence

Students can work in small groups on specific problems to arrive at joint solutions.

Autonomy

The students are able to independently solve challenging acoustical problems in the areas treated within the module. Possible conflicting issues and limitations can be identified and the results are critically scrutinized.

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 Aircraft Systems Engineering: Core Qualification: Elective Compulsory
International Management and Engineering: Specialisation II. Aviation Systems: Elective Compulsory
Aeronautics: Core Qualification: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Product Development, Materials and Production: Core Qualification: Elective Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory
Course L0516: Technical Acoustics I (Acoustic Waves, Noise Protection, Psycho Acoustics )
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr.-Ing. Sören Keuchel
Language EN
Cycle SoSe
Content

- Introduction and Motivation
- Acoustic quantities
- Acoustic waves
- Sound sources, sound radiation
- Sound engergy and intensity
- Sound propagation
- Signal processing
- Psycho acoustics
- Noise
- Measurements in acoustics

Literature

Cremer, L.; Heckl, M. (1996): Körperschall. Springer Verlag, Berlin
Veit, I. (1988): Technische Akustik. Vogel-Buchverlag, Würzburg
Veit, I. (1988): Flüssigkeitsschall. Vogel-Buchverlag, Würzburg

Course L0518: Technical Acoustics I (Acoustic Waves, Noise Protection, Psycho Acoustics )
Typ Recitation Section (large)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr.-Ing. Sören Keuchel
Language EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1143: Applied Design Methodology in Mechatronics

Courses
Title Typ Hrs/wk CP
Applied Design Methodology in Mechatronics (L1523) Lecture 2 2
Applied Design Methodology in Mechatronics (L1524) Project-/problem-based Learning 3 4
Module Responsible Prof. Thorsten Kern
Admission Requirements None
Recommended Previous Knowledge Basics of mechanical design, electrical design or computer-sciences
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Science-based working on interdisciplinary product design considering targeted application of specific product design techniques

Skills

Creative handling of processes used for scientific preparation and formulation of complex product design problems / Application of various product design techniques following theoretical aspects.

Personal Competence
Social Competence Students will solve and execute technical-scientific tasks from an industrial context in small design-teams with application of common, creative methodologies.
Autonomy

Students are enabled to optimize the design and development process according to the target and topic of the design

Students are educated to operate in a development team

Students learn about the right application of creative methods in engineering.

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 30 min Presentation for a group design-work
Assignment for the Following Curricula International Management and Engineering: Specialisation II. Product Development and Production: Elective Compulsory
International Management and Engineering: Specialisation II. Mechatronics: Elective Compulsory
Mechanical Engineering and Management: Specialisation Product Development and Production: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Course L1523: Applied Design Methodology in Mechatronics
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Thorsten Kern
Language EN
Cycle SoSe
Content
  • Systematic analysis and planning of the design process for products combining a multitude of disciplines
  • Structure of the engineering process with focus on engineering steps (task-definition, functional decomposition, physical principles, elements for solution, combination to systems and products, execution of design, component-tests, system-tests, product-testing and qualification/validation)
  • Creative methods (Basics, methods like lead-user-method, 6-3-5, BrainStorming, Intergalactic Thinking, … - Applications in examples all around mechatronics topics)
  • Several design-supporting methods and tools (functional strcutures, GALFMOS, AEIOU-method, GAMPFT, simulation and its application, TRIZ, design for SixSigma, continous integration and testing, …)
  • Evaluation and final selection of solution (technical and business-considerations, preference-matrix, pair-comparision), dealing with uncertainties, decision-making
  • Value-analysis
  • Derivation of architectures and architectural management
  • Project-tracking and -guidance (project-lead, guiding of employees, organization of multidisciplinary R&D departments, idea-identification, responsibilities and communication)
  • Project-execution methods (Scrum, Kanbaan, …)
  • Presentation-skills
  • Questions of aesthetic product design and design for subjective requirements (industrial design, color, haptic/optic/acoustic interfaces)
  • Evaluation of selected methods at practical examples in small teams
Literature
  • Definition folgt...
  • Pahl, G.; Beitz, W.; Feldhusen, J.; Grote, K.-H.: Konstruktionslehre: Grundlage erfolgreicher Produktentwicklung, Methoden und Anwendung, 7. Auflage, Springer Verlag, Berlin 2007
  • VDI-Richtlinien: 2206; 2221ff
Course L1524: Applied Design Methodology in Mechatronics
Typ Project-/problem-based Learning
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Thorsten Kern
Language EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1894: Automation Technology and Systems

Courses
Title Typ Hrs/wk CP
Automation Technology and Systems (L2329) Lecture 4 4
Automation Technology and Systems (L2331) Project-/problem-based Learning 1 1
Automation Technology and Systems (L2330) Recitation Section (small) 1 1
Module Responsible Prof. Thorsten Schüppstuhl
Admission Requirements None
Recommended Previous Knowledge

without major course assessment

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

Students

  • know the characteristic components of an automation systems and have good understanding of their interaction
  • know methods for a systematical analysis of automation tasks and are able to use them
  • have special competences in industrial robot based automation systems
Skills

Students are able to...

  • analyze complex Automation tasks
  • develop application based concepts and solutions
  • design subsystems and integrate into one system
  • investigate and evaluate safety of machinery
  • create simple programs for robots and programmable logic controllers
  • design of circuit for pneumatic applications
Personal Competence
Social Competence

Students are able to ...

- find solutions for automation and handling tasks in groups

 - develop solutions in a production environment with qualified personnel at technical level and represent decisions.

Autonomy

Students are able to ...

  • analyze automation tasks independently
  • generate programs for robots and programmable logic devices autonomously
  • develop solutions for practice oriented tasks of automation independently
  • design safety concepts for automation applications
  • assess consequences of their professional actions and responsibilities
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 20 % Subject theoretical and practical work Die Studienleistung umfasst die Ergebnisse der PBL basierten Anteile des Moduls sowie der Präsentation in der Gruppe.
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula International Management and Engineering: Specialisation II. Product Development and Production: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Course L2329: Automation Technology and Systems
Typ Lecture
Hrs/wk 4
CP 4
Workload in Hours Independent Study Time 64, Study Time in Lecture 56
Lecturer Prof. Thorsten Schüppstuhl
Language DE
Cycle SoSe
Content
Literature
Course L2331: Automation Technology and Systems
Typ Project-/problem-based Learning
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Thorsten Schüppstuhl
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L2330: Automation Technology and Systems
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Thorsten Schüppstuhl
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1183: Laser Systems and Methods of Manufacturing Design and Analysis

Courses
Title Typ Hrs/wk CP
Laser Systems and Process Technologies (L1612) Lecture 2 3
Methods for Analysing Production Processes (L0876) Lecture 2 3
Module Responsible Prof. Jan Hendrik Dege
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
Skills
Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 180 min
Assignment for the Following Curricula Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Course L1612: Laser Systems and Process Technologies
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Claus Emmelmann
Language EN
Cycle WiSe
Content
  • Fundamentals of laser technology
  • Laser beam sources: CO2-, Nd:YAG-, Fiber- and Diodelasers
  • Laser system technology: beam forming, beam guidance systems, beam motion and beam control
  • Laser-based manufacturing technologies: generation, marking, cutting, joining, surface treatment
  • Quality assurance and economical aspects of laser material processing
  • Markets and Applications of laser technology
  • Student group exercises
Literature
  • Hügel, H. , T. Graf: Laser in der Fertigung : Strahlquellen, Systeme, Fertigungsverfahren, 3. Aufl., Vieweg + Teubner Wiesbaden 2014.
  • Eichler, J., Eichler. H. J.: Laser: Bauformen, Strahlführung, Anwendungen, 7. Aufl., Springer-Verlag Berlin Heidelberg 2010.
  • Steen W. M.; Mazumder J.: Laser material processing, 4th Edition,  Springer-Verlag London 2010.
  • J.C. Ion: Laser processing of engineering materials: principles, procedure and industrial applications, Elsevier Butterworth-Heinemann 2005.
  • Gebhardt, A.: Understanding additive manufacturing, München [u.a.] Hanser 2011
Course L0876: Methods for Analysing Production Processes
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Jan Hendrik Dege
Language DE
Cycle WiSe
Content
  • Modelling and simulation of maching and forming processes
  • Numerical simulation of forces, temperatures, deformation in machining
  • Analysis of vibration problems in maching (chatter, modal analysis,..)
  • Knowledge based process planning
  • Design of experiments
  • Machinability of nonmetallic materials
  • Analysis of interaction between maching process and machine tool systems with regard to process stabiltity and quality
  • Simulation of maching processes by virtual reality methods
Literature

Tönshoff, H.K.; Denkena, B.; Spanen Grundlagen, Springer (2004)

Klocke, F.; König, W.; Fertigungsverfahren Umformen, Springer (2006)

Weck, M.; Werkzeugmaschinen Fertigungssysteme 3, Springer (2001)

Weck, M.; Werkzeugmaschinen Fertigungssysteme 5, Springer (2001)

Module M0806: Technical Acoustics II (Room Acoustics, Computational Methods)

Courses
Title Typ Hrs/wk CP
Technical Acoustics II (Room Acoustics, Computational Methods) (L0519) Lecture 2 3
Technical Acoustics II (Room Acoustics, Computational Methods) (L0521) Recitation Section (large) 2 3
Module Responsible Prof. Benedikt Kriegesmann
Admission Requirements None
Recommended Previous Knowledge

Technical Acoustics I (Acoustic Waves, Noise Protection, Psycho Acoustics)

Mechanics I (Statics, Mechanics of Materials) and Mechanics II (Hydrostatics, Kinematics, Dynamics)

Mathematics I, II, III (in particular differential equations)

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

The students possess an in-depth knowledge in acoustics regarding room acoustics and computational methods and are able to give an overview of the corresponding theoretical and methodical basis.

Skills

The students are capable to handle engineering problems in acoustics by theory-based application of the demanding computational methods and procedures treated within the module.

Personal Competence
Social Competence

Students can work in small groups on specific problems to arrive at joint solutions.

Autonomy

The students are able to independently solve challenging acoustical problems in the areas treated within the module. Possible conflicting issues and limitations can be identified and the results are critically scrutinized.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Oral exam
Examination duration and scale 20 min
Assignment for the Following Curricula Aircraft Systems Engineering: Core Qualification: Elective Compulsory
Aeronautics: Core Qualification: Elective Compulsory
Mechatronics: Specialisation System Design: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Product Development, Materials and Production: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory
Course L0519: Technical Acoustics II (Room Acoustics, Computational Methods)
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr.-Ing. Sören Keuchel
Language EN
Cycle WiSe
Content

- Room acoustics
- Sound absorber

- Standard computations
- Statistical Energy Approaches
- Finite Element Methods
- Boundary Element Methods
- Geometrical acoustics
- Special formulations

- Practical applications
- Hands-on Sessions: Programming of elements (Matlab)

Literature

Cremer, L.; Heckl, M. (1996): Körperschall. Springer Verlag, Berlin
Veit, I. (1988): Technische Akustik. Vogel-Buchverlag, Würzburg
Veit, I. (1988): Flüssigkeitsschall. Vogel-Buchverlag, Würzburg
Gaul, L.; Fiedler, Ch. (1997): Methode der Randelemente in Statik und Dynamik. Vieweg, Braunschweig, Wiesbaden
Bathe, K.-J. (2000): Finite-Elemente-Methoden. Springer Verlag, Berlin

Course L0521: Technical Acoustics II (Room Acoustics, Computational Methods)
Typ Recitation Section (large)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr.-Ing. Sören Keuchel
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0563: Robotics

Courses
Title Typ Hrs/wk CP
Robotics: Modelling and Control (L0168) Integrated Lecture 4 4
Robotics: Modelling and Control (L1305) Project-/problem-based Learning 2 2
Module Responsible Dr. Martin Gomse
Admission Requirements None
Recommended Previous Knowledge

Fundamentals of electrical engineering

Broad knowledge of mechanics

Fundamentals of control theory

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge Students are able to describe fundamental properties of robots and solution approaches for multiple problems in robotics.
Skills

Students are able to derive and solve equations of motion for various manipulators.

Students can generate trajectories in various coordinate systems.

Students can design linear and partially nonlinear controllers for robotic manipulators.

Personal Competence
Social Competence Students are able to work goal-oriented in small mixed groups.
Autonomy

Students are able to recognize and improve knowledge deficits independently.

With instructor assistance, students are able to evaluate their own knowledge level and define a further course of study.

Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes None Subject theoretical and practical work Teilnahme an PBL-Einheiten sowie Erreichen des Gesamtziels und der jeweiligen Session-Ziele
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula Aircraft Systems Engineering: Core Qualification: Elective Compulsory
International Management and Engineering: Specialisation II. Product Development and Production: Elective Compulsory
International Management and Engineering: Specialisation II. Mechatronics: Elective Compulsory
Aeronautics: Core Qualification: Elective Compulsory
Mechanical Engineering and Management: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Course L0168: Robotics: Modelling and Control
Typ Integrated Lecture
Hrs/wk 4
CP 4
Workload in Hours Independent Study Time 64, Study Time in Lecture 56
Lecturer Dr. Martin Gomse
Language EN
Cycle WiSe
Content

Fundamental kinematics of rigid body systems

Newton-Euler equations for manipulators

Trajectory generation

Linear and nonlinear control of robots

Literature

Craig, John J.: Introduction to Robotics Mechanics and Control, Third Edition, Prentice Hall. ISBN 0201-54361-3

Spong, Mark W.; Hutchinson, Seth;  Vidyasagar, M. : Robot Modeling and Control. WILEY. ISBN 0-471-64990-2


Course L1305: Robotics: Modelling and Control
Typ Project-/problem-based Learning
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Dr. Martin Gomse
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1025: Fluidics

Courses
Title Typ Hrs/wk CP
Fluidics (L1256) Lecture 2 3
Fluidics (L1371) Project-/problem-based Learning 1 2
Fluidics (L1257) Recitation Section (large) 1 1
Module Responsible Prof. Dieter Krause
Admission Requirements None
Recommended Previous Knowledge

Good knowledge of mechanics (stereo statics, elastostatics, hydrostatics, kinematics and kinetics), fluid mechanics, and 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

  • explain structures and functionalities of hydrostatic, pneumatic, and hydrodynamic components,
  • explain the interaction of hydraulic components in hydraulic systems,
  • explain open and closed loop control of hydraulic systems,
  • describe functioning and applications of hydrodynamic torque converters, brakes and clutches as well as centrifugal pumps and aggregates in plant technology
Skills

After passing the module students are able to

  • analyse and assess hydraulic and pneumatic components and systems,
  • design and dimension hydraulic systems for mechanical applications,
  • perform numerical simulations of hydraulic systems based on abstract problem definitions,
  • select and adapt pump characteristic curves for hydraulic systems
  • dimension hydrodynamic torque converters and brakes for mechanical aggregates.


Personal Competence
Social Competence

After passing the module students are able to

  • discuss and present functional context in groups,
  • organise teamwork autonomously.


Autonomy

After passing the module students are able to

  • obtain necessary knowledge for the simulation.


Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes None Attestation Simulation hydrostatischer Systeme
Examination Written exam
Examination duration and scale 90
Assignment for the Following Curricula International Management and Engineering: Specialisation II. Mechatronics: Elective Compulsory
International Management and Engineering: Specialisation II. Product Development and Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Product Development: Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Course L1256: Fluidics
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Dieter Krause
Language DE
Cycle WiSe
Content

Lecture

Hydrostatics

  • physical fundamentals
  • hydraulic fluids
  • hydrostatic machines
  • valves
  • components
  • hydrostatic transmissions
  • examples from industry

Pneumatics

  • generation of compressed air
  • pneumatic motors
  • Examples of use

Hydrodynamics

  • physical fundamentals
  • hydraulic continous-flow machines
  • hydrodynamic transmissions
  • interoperation of motor and transmission

Exercise

Hydrostatics

  • reading and design of hydraulic diagrams
  • dimensioning of hydrostatic traction and working drives
  • performance calculation

Hydrodynamics

  • calculation / dimensioning of hydrodynamic torque converters
  • calculation / dimensioning of centrifugal pumps
  • creating and reading of characteristic curves of pumps and systems

Field trip

  • field trip to a regional company from the hydraulic industry.


Exercise

Numerical simulation of hydrostatic systems

  • getting to know a numerical simulation environment for hydraulic systems
  • transformation of a task into a simulation model
  • simulation of common components
  • variation of simulation parameters
  • using simulations for system dimensioning and optimisation
  • (partly) self-organised teamwork
Literature

Bücher

  • Murrenhoff, H.: Grundlagen der Fluidtechnik - Teil 1: Hydraulik, Shaker Verlag, Aachen, 2011
  • Murrenhoff, H.: Grundlagen der Fluidtechnik - Teil 2: Pneumatik, Shaker Verlag, Aachen, 2006
  • Matthies, H.J. Renius, K.Th.: Einführung in die Ölhydraulik, Teubner Verlag, 2006
  • Beitz, W., Grote, K.-H.: Dubbel - Taschenbuch für den Maschinenbau, Springer-Verlag, Berlin, aktuelle Auflage
Skript zur Vorlesung
Course L1371: Fluidics
Typ Project-/problem-based Learning
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Dieter Krause
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L1257: Fluidics
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Dieter Krause
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1596: Engineering Haptic Systems

Courses
Title Typ Hrs/wk CP
Haptic Technology for Human-Machine-Interfaces (HMI) (L2439) Lecture 4 3
Haptic Technology for Human-Machine-Interfaces (HMI) (L2859) Project-/problem-based Learning 2 3
Module Responsible Prof. Thorsten Kern
Admission Requirements None
Recommended Previous Knowledge We recommend knowledge in the areas of general engineering sciences, mechatronics and/or control-engineering. However also neighbouring technical areas like mechanical-engineering or even process-engineers can join the course and will be introduced into the content properly.
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

This course is an introduction to the design methods and design-requirements to consider when creating haptic systems from scratch. It covers a physiological part, an actuator development part, and goes up to fundamentals of higher system integration with consideration on control theory for more complex projects. Beside design-related topics, it gives a valuable overview on existing haptic applications and research in that field with many examples. This is supported by on-site experiments in the laboratories of M-4.

  • Motivation and application of haptic systems
  • Haptic perception
  • The role of the user in direct system interaction
  • Development of haptic systems
  • Identification of requirements
  • System-structure and control
  • Kinematic fundamentals
  • Actuation & Sensors technology for haptic applications
  • Control and system-design aspects
  • Fundamental considerations in simulating haptics
Skills Executing the course the competency will be developed to apply the general engineering capabilities of the individual course towards the design and application of active haptic systems. The resulting competencies will open an entry into specialized position in avionic-industries, automotive-industry and consumer-device-development.
Personal Competence
Social Competence As a side-effect this module teaches basics of a general design for human-machine-interfaces, independent from the specific application of "haptics". It teaches methods to execute user-studies, judge on user-feedback and how to deal with soft design-requirements which are common when dealing with subjective perception.
Autonomy Independent design-capability of haptic systems, general competency in engineering from a design-perspective
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 Durchführung von Laborversuchen
Examination Subject theoretical and practical work
Examination duration and scale 30 min
Assignment for the Following Curricula Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Mechatronics: Specialisation System Design: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Course L2439: Haptic Technology for Human-Machine-Interfaces (HMI)
Typ Lecture
Hrs/wk 4
CP 3
Workload in Hours Independent Study Time 34, Study Time in Lecture 56
Lecturer Prof. Thorsten Kern
Language EN
Cycle WiSe
Content

This course is an introduction to the design methods and design-requirements to consider when creating haptic systems from scratch. It covers a physiological part, an actuator development part, and goes up to fundamentals of higher system integration with consideration on control theory for more complex projects. Beside design-related topics, it gives a valuable overview on existing haptic applications and research in that field with many examples.

  • Motivation and application of haptic systems
  • Haptic perception
  • The role of the user in direct system interaction
  • Development of haptic systems
  • Identification of requirements
  • System-structure and control
  • Kinematic fundamentals
  • Actuation & Sensors technology for haptic applications
  • Control and system-design aspects
  • Fundamental considerations in simulating haptics
Literature
Course L2859: Haptic Technology for Human-Machine-Interfaces (HMI)
Typ Project-/problem-based Learning
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Thorsten Kern
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1665: Design and dimensioning of fibre-reinforced plastic composites (FRP)

Courses
Title Typ Hrs/wk CP
Design with fibre-polymer-composites (L1893) Lecture 2 3
Design with fibre-polymer-composites (L2616) Project-/problem-based Learning 2 2
Design with fibre-polymer-composites (L2615) Recitation Section (large) 1 1
Module Responsible Prof. Bodo Fiedler
Admission Requirements None
Recommended Previous Knowledge

Basics: chemistry / physics / materials science

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

Students can use the knowledge of  fiber-reinforced composites (FRP) and its constituents to play (fiber / matrix) and define the necessary testing and analysis.

They can explain the complex relationships structure-property relationship and

the interactions of chemical structure of the polymers, their processing with the different fiber types, including to explain neighboring contexts (e.g. sustainability, environmental protection).

Skills

Students are capable of

  • using standardized calculation methods in a given context to mechanical properties (modulus, strength) to calculate and evaluate the different materials.
  • approximate sizing using the network theory of the structural elements implement and evaluate.
  • selecting appropriate solutions for mechanical recycling problems and sizing example stiffness, corrosion resistance.
Personal Competence
Social Competence

Students can

  • arrive at funded work results in heterogenius groups and document them.
  • provide appropriate feedback and handle feedback on their own performance constructively.


Autonomy

Students are able to

- assess their own strengths and weaknesses.

- assess their own state of learning in specific terms and to define further work steps on this basis.

- assess possible consequences of their professional activity.



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 Materials Science and Engineering: Specialisation Engineering Materials: Elective Compulsory
Materials Science: Specialisation Engineering Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Course L1893: Design with fibre-polymer-composites
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Bodo Fiedler
Language EN
Cycle WiSe
Content Designing with Composites: Laminate Theory; Failure Criteria; Design of Pipes and Shafts; Sandwich Structures; Notches; Joining Techniques; Compression Loading; Examples
Literature Konstruieren mit Kunststoffen, Gunter Erhard , Hanser Verlag
Course L2616: Design with fibre-polymer-composites
Typ Project-/problem-based Learning
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Bodo Fiedler
Language DE/EN
Cycle WiSe
Content

The students receive the assignment in the form of a material design for test bodies made of fibre composites. Technical and normative requirements are listed in the assignment, all other required information comes from the lectures and exercises or the respective documents (electronically and in conversation).

The procedure is specified in a milestone plan and enables the students to plan subtasks and thus work continuously. At the end of the project, different test specimens were tested in tensile or bending tests.

In the individual project meetings, the conception (discussion of requirements and risks) is scrutinised. The calculations are analysed, the production methods are evaluated and determined. Materials are selected and the test specimens are manufactured according to standards. The quality and mechanical properties are checked and classified. At the end, a final report is prepared and the results are presented to all participants in the form of a presentation and discussed.


Literature

Konstruieren mit Kunststoffen, Gunter Erhard , Hanser Verlag

Course L2615: Design with fibre-polymer-composites
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Bodo Fiedler
Language EN
Cycle WiSe
Content

The contents of the lecture are repeated and deepened using practical examples. Calculations are carried out together or individually, and the results are discussed critically.


Literature

Konstruieren mit Kunststoffen, Gunter Erhard , Hanser Verlag

Module M0739: Factory Planning & Production Logistics

Courses
Title Typ Hrs/wk CP
Factory Planning (L1445) Lecture 3 3
Production Logistics (L1446) Lecture 2 3
Module Responsible Prof. Jochen Kreutzfeldt
Admission Requirements None
Recommended Previous Knowledge

Bachelor degree in logistics



Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge The students will acquire the following knowledge:

1. The students know the latest trends and developments in the planning of factories.

2. The students can explain basic procedures of factory planning and are able to deploy these procedures while considering different conditions.

3. The students know different methods of factory planning and are able to deal critically with these methods.

Skills The students will acquire the following skills:

1. The students are able to analyze factories and other material flow systems with regard to new development and the need for change of these logistical systems.

2. The students are able to plan and redesign factories and other material handling systems.

3. The students are able to develop procedures for the implementation of new and revised material flow systems.

Personal Competence
Social Competence The students will acquire the following social skills:

1. The students are able to develop plans for the development of new and improvement of existing material flow systems within a group.

2. The developed planning proposal from the group work can be documented and presented together.

3. The students are able to derive suggestions for improvement from the feedback on the planning proposals and can even provide constructive criticism themselves.

Autonomy The students will acquire the following independent competencies:

1. The students can plan and re-design material flow systems using existing planning procedures.

2. The students can evaluate independently the strengths and weaknesses of several techniques for factory planning and choose appropriate methods in a given context.

3. The students are able to carry out autonomously new plans and transformations of material flow systems.

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 International Management and Engineering: Specialisation II. Product Development and Production: Elective Compulsory
International Management and Engineering: Specialisation II. Logistics: Elective Compulsory
Logistics, Infrastructure and Mobility: Specialisation Production and Logistics: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Course L1445: Factory Planning
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Jochen Kreutzfeldt, Philipp Maximilian Braun
Language DE
Cycle WiSe
Content The lecture gives an introduction into the planning of factories and material flows. The students will learn process models and methods to plan new factories and improve existing material flow systems. The course includes three basic topics:

(1) Analysis of factory and material flow systems

(2) Development and re-planning of factory and material flow systems

(3) Implementation and realization of factory planning

The students are introduced into several different methods and models per topic. Practical examples and planning exercises deepen the methods and explain the application of factory planning.

The special requirements of factory planning in an international context are discussed. Specific requirements of Current trends and issues in the factory planning round off the lecture.

Literature

Bracht, Uwe; Wenzel, Sigrid; Geckler, Dieter (2018): Digitale Fabrik: Methoden und Praxisbeispiele. 2. Aufl.: Springer, Berlin.

Helbing, Kurt W. (2010): Handbuch Fabrikprojektierung. Berlin, Heidelberg: Springer Berlin Heidelberg.

Lotter, Bruno; Wiendahl, Hans-Peter (2012): Montage in der industriellen Produktion: Optimierte Abläufe, rationelle Automatisierung. 2. Aufl.: Springer, Berlin.

Müller, Egon; Engelmann, Jörg; Löffler, Thomas; Jörg, Strauch (2009): Energieeffiziente Fabriken planen und betreiben. Berlin, Heidelberg: Springer Berlin Heidelberg.

Schenk, Michael; Müller, Egon; Wirth, Siegfried (2014): Fabrikplanung und Fabrikbetrieb. Methoden für die wandlungsfähige, vernetzte und ressourceneffiziente Fabrik. 2. Aufl. Berlin [u.a.]: Springer Vieweg.

Wiendahl, Hans-Peter; Reichardt, Jürgen; Nyhuis, Peter (2014): Handbuch Fabrikplanung: Konzept, Gestaltung und Umsetzung wandlungsfähiger Produktionsstätten. 2. Aufl. Carl Hanser Verlag.



Course L1446: Production Logistics
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dipl.-Ing. Arnd Schirrmann
Language DE
Cycle WiSe
Content
  • Introduction: situation, significance and main innovation focuses of logistics in a production company, aspects of procurement, production, distribution and disposal logistics, production and transport networks
  • Logistics as a production strategy: logistics-oriented method of working in a factory, throughput time, corporate strategy, structured networking, reducing complexity, integrated organization, integrated product and production logistics (IPPL)
  • Logistics-compatible production and process structuring; logistics-compatible product, material flow, information and organizational structures
  • Logistics-oriented production control: situation and development tendencies, logistics and cybernetics, market-oriented production planning, control, monitoring, PPS systems and production control, cybernetic production organization and control, production logistics control systems.
  • Production logistics planning: key performance indicators, developing a production logistics concept, computerized aids to planning production logistics, IPPL functions, economic efficiency of logistics projects
  • Production logistics controlling: production logistics and controlling, material flow-oriented cost transparency, cost controlling (process cost accounting, costs model in IPPL), process controlling (integrated production system, methods and tools, MEPOT.net method portal)


Literature

Pawellek, G.: Produktionslogistik: Planung - Steuerung - Controlling. Carl Hanser Verlag 2007

Module M1919: Sustainable operation of technical assets

Courses
Title Typ Hrs/wk CP
Fundamentals of Maintenance, Repair and Overhaul (MRO) (L3160) Lecture 3 4
Fundamentals of Maintenance, Repair and Overhaul (MRO) (L3161) Recitation Section (large) 1 2
Module Responsible Prof. Gerko Wende
Admission Requirements None
Recommended Previous Knowledge

We recommend knowledge in the areas of general engineering sciences, aeronautics and aircraft systems engineering. Technical fields like mechanical engineering, mechatronics and production engineering will be introduced into the relevant aeronautical content.

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

The students are able to describe fundamental correlations for the sustainable operation of technical assets and to identify solution approaches for complex optimization problems.

Skills

The students are enabled to apply the general engineering capabilities of the individual course towards the optimization of the sustainability in operation of technical assets. The resulting competencies will open an entry into positions in the development, production and technical operation of sustainable products in the mobility and engineering industries.

Personal Competence
Social Competence

The students are able to work in mixed groups with a clear focus on the approached solutions by respecting the complex environment of multiple stakeholders.

Autonomy

The students are enabled to find solutions for optimization problems and to take required decision for the assessment of determining factors independently.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula Aircraft Systems Engineering: Core Qualification: Elective Compulsory
Aeronautics: Core Qualification: Elective Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Mechatronics: Specialisation System Design: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Course L3160: Fundamentals of Maintenance, Repair and Overhaul (MRO)
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Gerko Wende
Language DE
Cycle WiSe
Content

Fundamentals for the sustainable operation of technical assets by means of maintenance, repair and overhaul (MRO):

  •     Life cycle analytics
  •     Material circularity and service products
  •     Rules and regulations
  •     Processes and production methods
  •     Tools and technologies
  •     Data handling and usage
  •     Design for maintenance
  •     Self-healing technical systems
Literature -
Course L3161: Fundamentals of Maintenance, Repair and Overhaul (MRO)
Typ Recitation Section (large)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Gerko Wende
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Specialization Robotics and Computer Science

Module M1222: Design and Implementation of Software Systems

Courses
Title Typ Hrs/wk CP
Design and Implementation of Software Systems (L1657) Lecture 2 3
Design and Implementation of Software Systems (L1658) Project-/problem-based Learning 2 3
Module Responsible Prof. Bernd-Christian Renner
Admission Requirements None
Recommended Previous Knowledge

- Imperativ programming languages (C, Pascal, Fortran or similar)

- Simple data types (integer, double, char, boolean), arrays, if-then-else, for, while, procedure and function calls

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

Students are able to describe mechatronic systems and define requirements.

Skills

Students are able to design and implement mechatronic systems. They are able to argue the combination of Hard- and Software and the interfaces.

Personal Competence
Social Competence

Students are able to work goal-oriented in small mixed groups, learning and broadening teamwork abilities and define task within the team.

Autonomy

Students are able to solve individually exercises related to this lecture with instructional direction. Students are able to plan, execute and summarize a mechatronic experiment.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 10 % Attestation
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula Mechatronics: Core Qualification: Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Course L1657: Design and Implementation of Software Systems
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Bernd-Christian Renner
Language EN
Cycle WiSe
Content This course covers software design and implementation of mechatronic systems, tools for automation in Java.

Content:

  • Introduction to software techniques
  • Procedural Programming
  • Object oriented software design
  • Java
  • Event based programming
  • Formal methods
Literature
  • “The Pragmatic Programmer: From Journeyman to Master”Andrew Hunt, David Thomas, Ward Cunningham
  • “Core LEGO MINDSTORMS Programming: Unleash the Power of the Java Platform” Brian Bagnall Prentice Hall PTR, 1st edition (March, 2002) ISBN 0130093645
  • “Objects First with Java: A Practical Introduction using BlueJ” David J. Barnes & Michael Kölling Prentice Hall/ Pearson Education; 2003, ISBN 0-13-044929-6
Course L1658: Design and Implementation of Software Systems
Typ Project-/problem-based Learning
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Bernd-Christian Renner
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1592: Statistics

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

Module M1552: Advanced Machine Learning

Courses
Title Typ Hrs/wk CP
Advanced Machine Learning (L2322) Lecture 2 3
Advanced Machine Learning (L2323) Recitation Section (small) 2 3
Module Responsible Dr. Jens-Peter Zemke
Admission Requirements None
Recommended Previous Knowledge
  1. Mathematics I-III
  2. Numerical Mathematics 1/ Numerics
  3. Programming skills, preferably in Python
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge Students are able to name, state and classify state-of-the-art neural networks and their corresponding mathematical basics. They can assess the difficulties of different neural networks.
Skills Students are able to implement, understand, and, tailored to the field of application, apply neural networks.
Personal Competence
Social Competence

Students can

  • develop and document joint solutions in small teams;
  • form groups to further develop the ideas and transfer them to other areas of applicability;
  • form a team to develop, build, and advance a software library.
Autonomy

Students are able to

  • correctly assess the time and effort of self-defined work;
  • assess whether the supporting theoretical and practical excercises are better solved individually or in a team;
  • define test problems for testing and expanding the methods;
  • 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 Oral exam
Examination duration and scale 25 min
Assignment for the Following Curricula Computer Science: Specialisation III. Mathematics: Elective Compulsory
Data Science: Core Qualification: Compulsory
Computer Science in Engineering: Specialisation III. Mathematics: Elective Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Mechatronics: Specialisation System Design: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Technomathematics: Specialisation I. Mathematics: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Course L2322: Advanced Machine Learning
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr. Jens-Peter Zemke
Language DE/EN
Cycle WiSe
Content
  1. Basics: analogy; layout of neural nets, universal approximation, NP-completeness
  2. Feedforward nets: backpropagation, variants of Stochastistic Gradients
  3. Deep Learning: problems and solution strategies
  4. Deep Belief Networks: energy based models, Contrastive Divergence
  5. CNN: idea, layout, FFT and Winograds algorithms, implementation details
  6. RNN: idea, dynamical systems, training, LSTM
  7. ResNN: idea, relation to neural ODEs
  8. Standard libraries: Tensorflow, Keras, PyTorch
  9. Recent trends
Literature
  1. Skript
  2. Online-Werke:
    • http://neuralnetworksanddeeplearning.com/
    • https://www.deeplearningbook.org/


Course L2323: Advanced Machine Learning
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr. Jens-Peter Zemke
Language DE/EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0563: Robotics

Courses
Title Typ Hrs/wk CP
Robotics: Modelling and Control (L0168) Integrated Lecture 4 4
Robotics: Modelling and Control (L1305) Project-/problem-based Learning 2 2
Module Responsible Dr. Martin Gomse
Admission Requirements None
Recommended Previous Knowledge

Fundamentals of electrical engineering

Broad knowledge of mechanics

Fundamentals of control theory

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge Students are able to describe fundamental properties of robots and solution approaches for multiple problems in robotics.
Skills

Students are able to derive and solve equations of motion for various manipulators.

Students can generate trajectories in various coordinate systems.

Students can design linear and partially nonlinear controllers for robotic manipulators.

Personal Competence
Social Competence Students are able to work goal-oriented in small mixed groups.
Autonomy

Students are able to recognize and improve knowledge deficits independently.

With instructor assistance, students are able to evaluate their own knowledge level and define a further course of study.

Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes None Subject theoretical and practical work Teilnahme an PBL-Einheiten sowie Erreichen des Gesamtziels und der jeweiligen Session-Ziele
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula Aircraft Systems Engineering: Core Qualification: Elective Compulsory
International Management and Engineering: Specialisation II. Product Development and Production: Elective Compulsory
International Management and Engineering: Specialisation II. Mechatronics: Elective Compulsory
Aeronautics: Core Qualification: Elective Compulsory
Mechanical Engineering and Management: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Course L0168: Robotics: Modelling and Control
Typ Integrated Lecture
Hrs/wk 4
CP 4
Workload in Hours Independent Study Time 64, Study Time in Lecture 56
Lecturer Dr. Martin Gomse
Language EN
Cycle WiSe
Content

Fundamental kinematics of rigid body systems

Newton-Euler equations for manipulators

Trajectory generation

Linear and nonlinear control of robots

Literature

Craig, John J.: Introduction to Robotics Mechanics and Control, Third Edition, Prentice Hall. ISBN 0201-54361-3

Spong, Mark W.; Hutchinson, Seth;  Vidyasagar, M. : Robot Modeling and Control. WILEY. ISBN 0-471-64990-2


Course L1305: Robotics: Modelling and Control
Typ Project-/problem-based Learning
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Dr. Martin Gomse
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1248: Compilers for Embedded Systems

Courses
Title Typ Hrs/wk CP
Compilers for Embedded Systems (L1692) Lecture 3 4
Compilers for Embedded Systems (L1693) Project-/problem-based Learning 1 2
Module Responsible Prof. Heiko Falk
Admission Requirements None
Recommended Previous Knowledge

Module "Embedded Systems"

C/C++ Programming skills

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

The relevance of embedded systems increases from year to year. Within such systems, the amount of software to be executed on embedded processors grows continuously due to its lower costs and higher flexibility. Because of the particular application areas of embedded systems, highly optimized and application-specific processors are deployed. Such highly specialized processors impose high demands on compilers which have to generate code of highest quality. After the successful attendance of this course, the students are able

  • to illustrate the structure and organization of such compilers,
  • to distinguish and explain intermediate representations of various abstraction levels, and
  • to assess optimizations and their underlying problems in all compiler phases.

The high demands on compilers for embedded systems make effective code optimizations mandatory. The students learn in particular,

  • which kinds of optimizations are applicable at the source code level,
  • how the translation from source code to assembly code is performed,
  • which kinds of optimizations are applicable at the assembly code level,
  • how register allocation is performed, and
  • how memory hierarchies can be exploited effectively.

Since compilers for embedded systems often have to optimize for multiple objectives (e.g., average- or worst-case execution time, energy dissipation, code size), the students learn to evaluate the influence of optimizations on these different criteria.

Skills

After successful completion of the course, students shall be able to translate high-level program code into machine code. They will be enabled to assess which kind of code optimization should be applied most effectively at which abstraction level (e.g., source or assembly code) within a compiler.

While attending the labs, the students will learn to implement a fully functional compiler including optimizations.

Personal Competence
Social Competence

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

Autonomy

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

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula Computer Science: Specialisation I. Computer and Software Engineering: Elective Compulsory
Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory
Aircraft Systems Engineering: Core Qualification: Elective Compulsory
Aeronautics: Core Qualification: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Course L1692: Compilers for Embedded Systems
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Heiko Falk
Language DE/EN
Cycle SoSe
Content
  • Introduction and Motivation
  • Compilers for Embedded Systems - Requirements and Dependencies
  • Internal Structure of Compilers
  • Pre-Pass Optimizations
  • HIR Optimizations and Transformations
  • Code Generation
  • LIR Optimizations and Transformations
  • Register Allocation
  • WCET-Aware Compilation
  • Outlook
Literature
  • Peter Marwedel. Embedded System Design - Embedded Systems Foundations of Cyber-Physical Systems. 2nd Edition, Springer, 2012.
  • Steven S. Muchnick. Advanced Compiler Design and Implementation. Morgan Kaufmann, 1997.
  • Andrew W. Appel. Modern compiler implementation in C. Oxford University Press, 1998.
Course L1693: Compilers for Embedded Systems
Typ Project-/problem-based Learning
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Heiko Falk
Language DE/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0692: Approximation and Stability

Courses
Title Typ Hrs/wk CP
Approximation and Stability (L0487) Lecture 3 4
Approximation and Stability (L0488) Recitation Section (small) 1 2
Module Responsible Prof. Marko Lindner
Admission Requirements None
Recommended Previous Knowledge
  • Linear Algebra: systems of linear equations, least squares problems, eigenvalues, singular values
  • Analysis: sequences, series, differentiation, integration
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to

  • sketch and interrelate basic concepts of functional analysis (Hilbert space, operators),
  • name and understand concrete approximation methods,
  • name and explain basic stability theorems,
  • discuss spectral quantities, conditions numbers and methods of regularisation

Skills

Students are able to

  • apply basic results from functional analysis,
  • apply approximation methods,
  • apply stability theorems,
  • compute spectral quantities,
  • apply regularisation methods.
Personal Competence
Social Competence

Students are able to solve specific problems in groups and to present their results appropriately (e.g. as a seminar presentation).

Autonomy
  • Students are capable of checking their understanding of complex concepts on their own. They can specify open questions precisely and know where to get help in solving them.
  • Students have developed sufficient persistence to be able to work for longer periods in a goal-oriented manner on hard problems.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes None Presentation
Examination Oral exam
Examination duration and scale 20 min
Assignment for the Following Curricula Electrical Engineering: Specialisation Control and Power Systems Engineering: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Technomathematics: Specialisation I. Mathematics: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Course L0487: Approximation and Stability
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Marko Lindner
Language DE/EN
Cycle SoSe
Content

This course is about solving the following basic problems of Linear Algebra,

  • systems of linear equations,
  • least squares problems,
  • eigenvalue problems

but now in function spaces (i.e. vector spaces of infinite dimension) by a stable approximation of the problem in a space of finite dimension.

Contents:

  • crash course on Hilbert spaces: metric, norm, scalar product, completeness
  • crash course on operators: boundedness, norm, compactness, projections
  • uniform vs. strong convergence, approximation methods
  • applicability and stability of approximation methods, Polski's theorem
  • Galerkin methods, collocation, spline interpolation, truncation
  • convolution and Toeplitz operators
  • crash course on C*-algebras
  • convergence of condition numbers
  • convergence of spectral quantities: spectrum, eigen values, singular values, pseudospectra
  • regularisation methods (truncated SVD, Tichonov)
Literature
  • R. Hagen, S. Roch, B. Silbermann: C*-Algebras in Numerical Analysis
  • H. W. Alt: Lineare Funktionalanalysis
  • M. Lindner: Infinite matrices and their finite sections
Course L0488: Approximation and Stability
Typ Recitation Section (small)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Marko Lindner
Language DE/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0939: Control Lab A

Courses
Title Typ Hrs/wk CP
Control Lab I (L1093) Practical Course 1 1
Control Lab II (L1291) Practical Course 1 1
Control Lab III (L1665) Practical Course 1 1
Control Lab IV (L1666) Practical Course 1 1
Module Responsible NN
Admission Requirements None
Recommended Previous Knowledge
  • State space methods
  • LQG control
  • H2 and H-infinity optimal control
  • uncertain plant models and robust control
  •  LPV control
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students can explain the difference between validation of a control lop in simulation and experimental validation

Skills
  • Students are capable of applying basic system identification tools (Matlab System Identification Toolbox) to identify a dynamic model that can be used for controller synthesis
  • They are capable of using standard software tools (Matlab Control Toolbox) for the design and implementation of LQG controllers
  • They are capable of using standard software tools (Matlab Robust Control Toolbox) for the mixed-sensitivity design and the implementation of H-infinity optimal controllers
  • They are capable of representing model uncertainty, and of designing and implementing a robust controller
  • They are capable of using standard software tools (Matlab Robust Control Toolbox) for the design and the implementation of LPV gain-scheduled controllers
Personal Competence
Social Competence
  • Students can work in teams to conduct experiments and document the results
Autonomy
  • Students can independently carry out simulation studies to design and validate control loops
Workload in Hours Independent Study Time 64, Study Time in Lecture 56
Credit points 4
Course achievement None
Examination Written elaboration
Examination duration and scale 1
Assignment for the Following Curricula Electrical Engineering: Specialisation Control and Power Systems Engineering: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Course L1093: Control Lab I
Typ Practical Course
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer NN, Adwait Datar, Patrick Göttsch
Language EN
Cycle WiSe/SoSe
Content One of the offered experiments in control theory.
Literature

Experiment Guides


Course L1291: Control Lab II
Typ Practical Course
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer NN, Adwait Datar, Patrick Göttsch
Language EN
Cycle WiSe/SoSe
Content One of the offered experiments in control theory.
Literature

Experiment Guides

Course L1665: Control Lab III
Typ Practical Course
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer NN, Adwait Datar, Patrick Göttsch
Language EN
Cycle WiSe/SoSe
Content One of the offered experiments in control theory.
Literature

Experiment Guides

Course L1666: Control Lab IV
Typ Practical Course
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer NN, Adwait Datar, Patrick Göttsch
Language EN
Cycle WiSe/SoSe
Content One of the offered experiments in control theory.
Literature

Experiment Guides

Module M1702: Process Imaging

Courses
Title Typ Hrs/wk CP
Process Imaging (L2723) Lecture 3 3
Process Imaging (L2724) Project-/problem-based Learning 3 3
Module Responsible Prof. Alexander Penn
Admission Requirements None
Recommended Previous Knowledge No special prerequisites needed
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Content: The module focuses primarily on discussing established imaging techniques including (a) optical and infrared imaging, (b) magnetic resonance imaging, (c) X-ray imaging and tomography, and (d) ultrasound imaging but also covers a range of more recent imaging modalities. The students will learn:

  1. what these imaging techniques can measure (such as sample density or concentration, material transport, chemical composition, temperature),
  2. how the measurements work (physical measurement principles, hardware requirements, image reconstruction), and
  3. how to determine the most suited imaging methods for a given problem.

Learning goals: After the successful completion of the course, the students shall:

  1. understand the physical principles and practical aspects of the most common imaging methods,
  2. be able to assess the pros and cons of these methods with regard to cost, complexity, expected contrasts, spatial and temporal resolution, and based on this assessment
  3. be able to identify the most suited imaging modality for any specific engineering challenge in the field of chemical and bioprocess engineering.


Skills
Personal Competence
Social Competence In the problem-based interactive course, students work in small teams and set up two process imaging systems and use these systems to measure relevant process parameters in different chemical and bioprocess engineering applications. The teamwork will foster interpersonal communication skills.
Autonomy Students are guided to work in self-motivation due to the challenge-based character of this module. A final presentation improves presentation skills.
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 Bioprocess Engineering: Specialisation A - General Bioprocess Engineering: Elective Compulsory
Bioprocess Engineering: Specialisation B - Industrial Bioprocess Engineering: Elective Compulsory
Bioprocess Engineering: Specialisation C - Bioeconomic Process Engineering, Focus Energy and Bioprocess Technology: Elective Compulsory
Chemical and Bioprocess Engineering: Specialisation General Process Engineering: Elective Compulsory
Chemical and Bioprocess Engineering: Specialisation Bioprocess Engineering: Elective Compulsory
Chemical and Bioprocess Engineering: Specialisation Chemical Process Engineering: Elective Compulsory
Computer Science: Specialisation II: Intelligence Engineering: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems, Focus Signal Processing: Elective Compulsory
International Management and Engineering: Specialisation II. Process Engineering and Biotechnology: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Process Engineering: Specialisation Process Engineering: Elective Compulsory
Process Engineering: Specialisation Chemical Process Engineering: Elective Compulsory
Process Engineering: Specialisation Environmental Process Engineering: Elective Compulsory
Water and Environmental Engineering: Specialisation Environment: Elective Compulsory
Water and Environmental Engineering: Specialisation Water: Elective Compulsory
Course L2723: Process Imaging
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Alexander Penn
Language EN
Cycle SoSe
Content
Literature

Wang, M. (2015). Industrial Tomography. Cambridge, UK: Woodhead Publishing. 

Available as e-book in the library of TUHH: https://katalog.tub.tuhh.de/Record/823579395



Course L2724: Process Imaging
Typ Project-/problem-based Learning
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Alexander Penn, Dr. Stefan Benders
Language EN
Cycle SoSe
Content

Content: The module focuses primarily on discussing established imaging techniques including (a) optical and infrared imaging, (b) magnetic resonance imaging, (c) X-ray imaging and tomography, and (d) ultrasound imaging and also covers a range of more recent imaging modalities. The students will learn:

  1. what these imaging techniques can measure (such as sample density or concentration, material transport, chemical composition, temperature),
  2. how the measurements work (physical measurement principles, hardware requirements, image reconstruction), and
  3. how to determine the most suited imaging methods for a given problem.

Learning goals: After the successful completion of the course, the students shall:

  1. understand the physical principles and practical aspects of the most common imaging methods,
  2. be able to assess the pros and cons of these methods with regard to cost, complexity, expected contrasts, spatial and temporal resolution, and based on this assessment
  3. be able to identify the most suited imaging modality for any specific engineering challenge in the field of chemical and bioprocess engineering.
Literature

Wang, M. (2015). Industrial Tomography. Cambridge, UK: Woodhead Publishing. 

Available as e-book in the library of TUHH: https://katalog.tub.tuhh.de/Record/823579395



Module M1666: Intelligent Systems Lab

Courses
Title Typ Hrs/wk CP
Intelligent Systems Lab (L2709) Project-/problem-based Learning 6 6
Module Responsible Prof. Alexander Schlaefer
Admission Requirements None
Recommended Previous Knowledge

Very good programming skills

Good knowledge in mathematics

Prior knowledge in machine learning is very helpful

Prior knowledge in image processing / computer vision is helpful

Prior knowledge in robotics is very helpful

Prior knowledge in microprocessor programming is helpful

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

Students will be able to explain aspects of intelligent systems (e.g. autonomy, sensing the environment, interacting with the environment) and provide links to ai / robotics / machine learning / computer vision.


Skills

Students can analyze a complex application scenario and use artificial intelligence methods (particularly from robotics, machine learning, computer vision) to implement an intelligent system. Furthermore, students will be able to define criteria to assess the function of the system and evaluate the system.


Personal Competence
Social Competence

The students can define project aims and scope and organize the project as team work. They can present their results in an appropriate manner.

Autonomy

The students take responsibility for their tasks and coordinate their individual work with other group members.  They deliver their work on time. They independently acquire additional knowledge by doing a specific literature research.

Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes None Group discussion
Examination Written elaboration
Examination duration and scale approx. 8 pages, time frame: over the course of the semester
Assignment for the Following Curricula Computer Science in Engineering: Specialisation II. Engineering Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Course L2709: Intelligent Systems Lab
Typ Project-/problem-based Learning
Hrs/wk 6
CP 6
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Lecturer Prof. Alexander Schlaefer
Language DE/EN
Cycle SoSe
Content

The actual project topic will be defined as part of the project.

Literature

Wird in der Veranstaltung bekannt gegeben.

Module M0627: Machine Learning and Data Mining

Courses
Title Typ Hrs/wk CP
Machine Learning and Data Mining (L0340) Lecture 2 4
Machine Learning and Data Mining (L0510) Recitation Section (small) 2 2
Module Responsible NN
Admission Requirements None
Recommended Previous Knowledge
  • Calculus
  • Stochastics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can explain the difference between instance-based and model-based learning approaches, and they can enumerate basic machine learning technique for each of the two basic approaches, either on the basis of static data, or on the basis of incrementally incoming data . For dealing with uncertainty, students can describe suitable representation formalisms, and they explain how axioms, features, parameters, or structures used in these formalisms can be learned automatically with different algorithms. Students are also able to sketch different clustering techniques. They depict how the performance of learned classifiers can be improved by ensemble learning, and they can summarize how this influences computational learning theory. Algorithms for reinforcement learning can also be explained by students.

Skills

Student derive decision trees and, in turn, propositional rule sets from simple and static data tables and are able to name and explain basic optimization techniques. They present and apply the basic idea of first-order inductive leaning. Students apply the BME, MAP, ML, and EM algorithms for learning parameters of Bayesian networks and compare the different algorithms. They also know how to carry out Gaussian mixture learning. They can contrast kNN classifiers, neural networks, and support vector machines, and name their basic application areas and algorithmic properties. Students can describe basic clustering techniques and explain the basic components of those techniques. Students compare related machine learning techniques, e.g., k-means clustering and nearest neighbor classification. They can distinguish various ensemble learning techniques and compare the different goals of those techniques.




Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula Computer Science: Specialisation II: Intelligence Engineering: Elective Compulsory
International Management and Engineering: Specialisation II. Information Technology: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Course L0340: Machine Learning and Data Mining
Typ Lecture
Hrs/wk 2
CP 4
Workload in Hours Independent Study Time 92, Study Time in Lecture 28
Lecturer Rainer Marrone
Language EN
Cycle SoSe
Content
  • Decision trees
  • First-order inductive learning
  • Incremental learning: Version spaces
  • Uncertainty
  • Bayesian networks
  • Learning parameters of Bayesian networks
    BME, MAP, ML, EM algorithm
  • Learning structures of Bayesian networks
  • Gaussian Mixture Models
  • kNN classifier, neural network classifier, support vector machine (SVM) classifier
  • Clustering
    Distance measures, k-means clustering, nearest neighbor clustering
  • Kernel Density Estimation
  • Ensemble Learning
  • Reinforcement Learning
  • Computational Learning Theory
Literature
  1. Artificial Intelligence: A Modern Approach (Third Edition), Stuart Russel, Peter Norvig, Prentice Hall, 2010, Chapters 13, 14, 18-21
  2. Machine Learning: A Probabilistic Perspective, Kevin Murphy, MIT Press 2012
Course L0510: Machine Learning and Data Mining
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Rainer Marrone
Language EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0835: Humanoid Robotics

Courses
Title Typ Hrs/wk CP
Humanoid Robotics (L0663) Seminar 2 2
Module Responsible Patrick Göttsch
Admission Requirements None
Recommended Previous Knowledge


  • Introduction to control systems
  • Control theory and design
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students can explain humanoid robots.
  • Students learn to apply basic control concepts for different tasks in humanoid robotics.

Skills
  • Students acquire knowledge about selected aspects of humanoid robotics, based on specified literature
  • Students generalize developed results and present them to the participants
  • Students practice to prepare and give a presentation
Personal Competence
Social Competence
  • Students are capable of developing solutions in interdisciplinary teams and present them
  • They are able to provide appropriate feedback and handle constructive criticism of their own results
Autonomy
  • Students evaluate advantages and drawbacks of different forms of presentation for specific tasks and select the best solution
  • Students familiarize themselves with a scientific field, are able of introduce it and follow presentations of other students, such that a scientific discussion develops
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Credit points 2
Course achievement None
Examination Presentation
Examination duration and scale 30 min
Assignment for the Following Curricula Mechatronics: Core Qualification: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Course L0663: Humanoid Robotics
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Patrick Göttsch
Language DE
Cycle SoSe
Content
  • Grundlagen der Regelungstechnik
  • Control systems theory and design

Literature

- B. Siciliano, O. Khatib. "Handbook of Robotics. Part A: Robotics Foundations",

Springer (2008).


Module M1870: Statistical Models

Courses
Title Typ Hrs/wk CP
Statistical Models (L3116) Lecture 3 4
Statistical Models (L3118) Recitation Section (small) 1 2
Module Responsible Prof. Matthias Schulte
Admission Requirements None
Recommended Previous Knowledge Preknowledge in probability and statistics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students know the fundamental statistical models and are able to explain them using appropriate examples.
  • Students can discuss logical connections between these concepts and are capable of illustrating these connections with the help of examples.
  • Students know proof strategies and can reproduce them.
Skills
  • Students can investigate statistical problems with the help of the models studied in the course.
  • Students are able to explore and verify further logical connections between the concepts studied in the course.
  • For a given problem, the students can develop and execute a suitable approach, and are able to critically evaluate the results.
Personal Competence
Social Competence
  • Students are able to work together (e.g. on their regular home work) and to present their results appropriately (e.g. during exercise class).
  • In doing so, they can communicate new concepts and they can design examples to check and deepen the understanding of their peers.
Autonomy
  • Students are capable of checking their understanding of complex concepts on their own. They can specify open questions precisely and know where to get help in solving them.
  • Students can put their knowledge in relation to the contents of other lectures.
  • Students have developed sufficient persistence to be able to work for longer periods in a goal-oriented manner on hard problems.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula Computer Science: Specialisation III. Mathematics: Elective Compulsory
Data Science: Core Qualification: Compulsory
Computer Science in Engineering: Specialisation III. Mathematics: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Course L3116: Statistical Models
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Matthias Schulte, Prof. Nihat Ay
Language EN
Cycle SoSe
Content

Linear models and regression:

- Linear regression

- Nonlinear regression

- Logistic and Poisson regression

- Generalised linear models

Graphical Models and Causality:

- Conditional independence statements

- Hammersley-Clifford theorem

- Gibbs sampling

- Bayesian networks

- Causal inference

- Markov random fields

- Graphical and hierarchical models

- Applications  

Literature

D. Barber: Bayesian Reasoning and Machine Learning. Cambridge University Press (2012).

P. Dunn and G. Smyth: Generalized linear models with examples in R. Springer (2018). 

L. Fahrmeir, T. Kneib, S. Lang and B. Marx: Regression - models, methods and applications. Second edition, Springer (2021).

S. Lauritzen: Graphical Models. Oxford University Press (1996, reprinted 2004). 

J. Pearl: Causality: Models, Reasoning and Inference. Second edition, Cambridge University Press (2009).

Course L3118: Statistical Models
Typ Recitation Section (small)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Matthias Schulte, Prof. Nihat Ay
Language EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0924: Software for Embedded Systems

Courses
Title Typ Hrs/wk CP
Software for Embdedded Systems (L1069) Lecture 2 3
Software for Embdedded Systems (L1070) Recitation Section (small) 3 3
Module Responsible Prof. Bernd-Christian Renner
Admission Requirements None
Recommended Previous Knowledge
  • Very Good knowledge and practical experience in programming in the C language and its compilation process
  • Basic knowledge in software engineering
  • Basic understanding of assembly language
  • Basic knowledge of electrical engineering
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students know the basic principles and procedures of software engineering for embedded systems.
  • They are able to describe the usage and advantages of event-based programming using interrupts.
  • They know the components and functions of a concrete microcontroller.
  • The participants explain requirements of real time systems.
  • They know at least three scheduling algorithms for real time operating systems including their pros and cons.
Skills
  • Students design and write hardware-oriented software modules for an embedded system based on a specific microcontroller.
  • They learn to interact with peripherals (timer, ADC, EEPROM), including interrupt-based processing and program flow.
  • They build and use a (preemptive) scheduler for an embedded system.
  • They learn to write independent, reusable software components.
Personal Competence
Social Competence
  • Students are able to work goal-oriented in small mixed groups.
  • They learn and broaden their teamwork abilities.
  • They learn to define and split tasks within the team.
Autonomy

Students are able

  • to solve assignments related to this lecture independently with instructional direction.
  • to design, implement, and test software components for an embedded system independently based on a textual description.
  • to read and understand data sheets and manuals of electronic components (such as micro-controllers and sensors)
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 10 % Attestation
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula Computer Science: Specialisation I. Computer and Software Engineering: Elective Compulsory
Data Science: Specialisation II. Computer Science: Elective Compulsory
Data Science: Specialisation IV. Special Focus Area: Elective Compulsory
Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems, Focus Software: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Microelectronics and Microsystems: Specialisation Embedded Systems: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Course L1069: Software for Embdedded Systems
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Bernd-Christian Renner
Language DE/EN
Cycle SoSe
Content
  • General-Purpose Processors
  • Programming the Atmel AVR
  • Interrupts
  • C for Embedded Systems
  • Standard Single Purpose Processors: Peripherals
  • Finite-State Machines
  • Memory
  • Operating Systems for Embedded Systems
  • Real-Time Embedded Systems
  • Boot loader and Power Management
Literature
  1. Embedded System Design,  F. Vahid and T. Givargis,  John Wiley
  2. Programming Embedded Systems: With C and Gnu Development Tools, M. Barr and A. Massa, O'Reilly

  3. C und C++ für Embedded Systems,  F. Bollow, M. Homann, K. Köhn,  MITP
  4. The Art of Designing  Embedded Systems, J. Ganssle, Newnses

  5. Mikrocomputertechnik mit Controllern der Atmel AVR-RISC-Familie,  G. Schmitt, Oldenbourg
  6. Making Embedded Systems: Design Patterns for Great Software, E. White, O'Reilly

Course L1070: Software for Embdedded Systems
Typ Recitation Section (small)
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Bernd-Christian Renner
Language DE/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1724: Smart Monitoring

Courses
Title Typ Hrs/wk CP
Smart Monitoring (L2762) Integrated Lecture 2 2
Smart Monitoring (L2763) Recitation Section (small) 2 4
Module Responsible Prof. Kay Smarsly
Admission Requirements None
Recommended Previous Knowledge

Basic knowledge or interest in object-oriented modeling, programming, and sensor technologies are helpful. Interest in modern research and teaching areas, such as Internet of Things, Industry 4.0 and cyber-physical systems, as well as the will to deepen skills of scientific working, are required. Basic knowledge in scientific writing and good English skills.

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

The students will become familiar with the principles and practices of smart monitoring. The students will be able to design decentralized smart systems to be applied for continuous (remote) monitoring of systems in the built and in the natural environment. In addition, the students will learn to design and to implement intelligent sensor systems using state-of-the-art data analysis techniques, modern software design concepts, and embedded computing methodologies. Besides lectures, project work is also part of this module, which will be conducted throughout the semester and will contribute to the grade. In small groups, the students will design smart monitoring systems that integrate a number of “intelligent” sensors to be implemented by the students. Specific focus will be put on the application of machine learning techniques. The smart monitoring systems will be mounted on real-world (built or natural) systems, such as bridges or slopes, or on scaled lab structures for validation purposes. The outcome of every group will be documented in a paper. All students of this module will “automatically” participate with their smart monitoring system in the annual "Smart Monitoring" competition. The written papers and oral examinations form the final grades. The module will be taught in English. Limited enrollment.

Skills
Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written elaboration
Examination duration and scale 10 pages of work with 15-minute oral presentation
Assignment for the Following Curricula Civil Engineering: Specialisation Water and Traffic: Elective Compulsory
Civil Engineering: Specialisation Geotechnical Engineering: Elective Compulsory
Civil Engineering: Specialisation Coastal Engineering: Elective Compulsory
Civil Engineering: Specialisation Structural Engineering: Elective Compulsory
Environmental Engineering: Specialisation Water Quality and Water Engineering: Elective Compulsory
Environmental Engineering: Specialisation Energy and Resources: Elective Compulsory
Environmental Engineering: Specialisation Environment and Climate: Elective Compulsory
Mechatronics: Technical Complementary Course: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Water and Environmental Engineering: Specialisation Cities: Elective Compulsory
Water and Environmental Engineering: Specialisation Environment: Elective Compulsory
Water and Environmental Engineering: Specialisation Water: Elective Compulsory
Course L2762: Smart Monitoring
Typ Integrated Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Kay Smarsly
Language EN
Cycle SoSe
Content

In this course, principles of smart monitoring will be taught, focusing on modern concepts of data acquisition, data storage, and data analysis. Also, fundamentals of intelligent sensors and embedded computing will be illuminated. Autonomous software and decentralized data processing are further crucial parts of the course, including concepts of the Internet of Things, Industry 4.0 and cyber-physical systems. Furthermore, measuring principles, data acquisition systems, data management and data analysis algorithms will be discussed. Besides the theoretical background, numerous practical examples will be shown to demonstrate how smart monitoring may advantageously be used for assessing the condition of systems in the built or natural environment.

Literature
Course L2763: Smart Monitoring
Typ Recitation Section (small)
Hrs/wk 2
CP 4
Workload in Hours Independent Study Time 92, Study Time in Lecture 28
Lecturer Prof. Kay Smarsly
Language EN
Cycle SoSe
Content The contents of the exercises are based on the lecture contents. In addition to the exercises, project work will be conducted throughout the semester, which will consume the majority of the workload. As part of the project work, students will design smart monitoring systems that will be tested in the laboratory or in the field. As mentioned in the module description, the students will participate in the “Smart Monitoring” competition, hosted annually by the Institute of Digital and Autonomous Construction. Students are encouraged to contribute their own ideas. The tools required to implement the smart monitoring systems will be taught in the group exercises as well as through external sources, such as video tutorials and literature.
Literature

Module M0633: Industrial Process Automation

Courses
Title Typ Hrs/wk CP
Industrial Process Automation (L0344) Lecture 2 3
Industrial Process Automation (L0345) Recitation Section (small) 2 3
Module Responsible Prof. Alexander Schlaefer
Admission Requirements None
Recommended Previous Knowledge

mathematics and optimization methods
principles of automata 
principles of algorithms and data structures
programming skills

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

The students can evaluate and assess discrete event systems. They can evaluate properties of processes and explain methods for process analysis. The students can compare methods for process modelling and select an appropriate method for actual problems. They can discuss scheduling methods in the context of actual problems and give a detailed explanation of advantages and disadvantages of different programming methods. The students can relate process automation to methods from robotics and sensor systems as well as to recent topics like 'cyberphysical systems' and 'industry 4.0'.


Skills

The students are able to develop and model processes and evaluate them accordingly. This involves taking into account optimal scheduling, understanding algorithmic complexity, and implementation using PLCs.

Personal Competence
Social Competence

The students can independently define work processes within their groups, distribute tasks within the group and develop solutions collaboratively.



Autonomy

The students are able to assess their level of knowledge and to document their work results adequately.



Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 10 % Excercises
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula Bioprocess Engineering: Specialisation A - General Bioprocess Engineering: Elective Compulsory
Chemical and Bioprocess Engineering: Specialisation Chemical Process Engineering: Elective Compulsory
Chemical and Bioprocess Engineering: Specialisation General Process Engineering: Elective Compulsory
Computer Science: Specialisation II: Intelligence Engineering: Elective Compulsory
Electrical Engineering: Specialisation Control and Power Systems Engineering: Elective Compulsory
Aircraft Systems Engineering: Core Qualification: Elective Compulsory
International Management and Engineering: Specialisation II. Mechatronics: Elective Compulsory
International Management and Engineering: Specialisation II. Product Development and Production: Elective Compulsory
Aeronautics: Core Qualification: Elective Compulsory
Mechanical Engineering and Management: Specialisation Mechatronics: Elective Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Process Engineering: Specialisation Chemical Process Engineering: Elective Compulsory
Process Engineering: Specialisation Process Engineering: Elective Compulsory
Course L0344: Industrial Process Automation
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Alexander Schlaefer
Language EN
Cycle WiSe
Content

- foundations of problem solving and system modeling, discrete event systems
- properties of processes, modeling using automata and Petri-nets
- design considerations for processes (mutex, deadlock avoidance, liveness)
- optimal scheduling for processes
- optimal decisions when planning manufacturing systems, decisions under uncertainty
- software design and software architectures for automation, PLCs

Literature

J. Lunze: „Automatisierungstechnik“, Oldenbourg Verlag, 2012
Reisig: Petrinetze: Modellierungstechnik, Analysemethoden, Fallstudien; Vieweg+Teubner 2010
Hrúz, Zhou: Modeling and Control of Discrete-event Dynamic Systems; Springer 2007
Li, Zhou: Deadlock Resolution in Automated Manufacturing Systems, Springer 2009
Pinedo: Planning and Scheduling in Manufacturing and Services, Springer 2009

Course L0345: Industrial Process Automation
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Alexander Schlaefer
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1302: Applied Humanoid Robotics

Courses
Title Typ Hrs/wk CP
Applied Humanoid Robotics (L1794) Project-/problem-based Learning 6 6
Module Responsible Patrick Göttsch
Admission Requirements None
Recommended Previous Knowledge
  • Object oriented programming; algorithms and data structures
  • Introduction to control systems
  • Control systems theory and design
  • Mechanics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students can explain humanoid robots.
  • Students can explain the basic concepts, relationships and methods of forward- and inverse kinematics
  • Students learn to apply basic control concepts for different tasks in humanoid robotics.
Skills
  • Students can implement models for humanoid robotic systems in Matlab and C++, and use these models for robot motion or other tasks.
  • They are capable of using models in Matlab for simulation and testing these models if necessary with C++ code on the real robot system.
  • They are capable of selecting methods for solving abstract problems, for which no standard methods are available, and apply it successfully.
Personal Competence
Social Competence
  • Students can develop joint solutions in mixed teams and present these.
  • They can provide appropriate feedback to others, and  constructively handle feedback on their own results
Autonomy
  • Students are able to obtain required information from provided literature sources, and to put in into the context of the lecture.
  • They can independently define tasks and apply the appropriate means to solve them.
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 5-10 pages
Assignment for the Following Curricula Computer Science: Specialisation II: Intelligence Engineering: Elective Compulsory
Data Science: Specialisation III. Applications: Elective Compulsory
Data Science: Specialisation IV. Special Focus Area: Elective Compulsory
Electrical Engineering: Specialisation Control and Power Systems Engineering: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Course L1794: Applied Humanoid Robotics
Typ Project-/problem-based Learning
Hrs/wk 6
CP 6
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Lecturer Patrick Göttsch
Language DE/EN
Cycle WiSe/SoSe
Content
  • Fundamentals of kinematics
  • Static and dynamic stability of humanoid robotic systems
  • Combination of different software environments (Matlab, C++, etc.)
  • Introduction to the necessary  software frameworks
  • Team project
  • Presentation and Demonstration of intermediate and final results
Literature
  • B. Siciliano, O. Khatib. "Handbook of Robotics. Part A: Robotics Foundations", Springer (2008)

Module M0677: Digital Signal Processing and Digital Filters

Courses
Title Typ Hrs/wk CP
Digital Signal Processing and Digital Filters (L0446) Lecture 3 4
Digital Signal Processing and Digital Filters (L0447) Recitation Section (large) 2 2
Module Responsible Prof. Gerhard Bauch
Admission Requirements None
Recommended Previous Knowledge
  • Mathematics 1-3
  • Signals and Systems
  • Fundamentals of signal and system theory as well as random processes.
  • Fundamentals of spectral transforms (Fourier series, Fourier transform, Laplace transform)
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students know and understand basic algorithms of digital signal processing. They are familiar with the spectral transforms of discrete-time signals and are able to describe and analyse signals and systems in time and image domain. They know basic structures of digital filters and can identify and assess important properties including stability. They are aware of the effects caused by quantization of filter coefficients and signals. They are familiar with the basics of adaptive filters. They can perform traditional and parametric methods of spectrum estimation, also taking a limited observation window into account.

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 apply methods of digital signal processing to new problems. They can choose and parameterize suitable filter striuctures. In particular, the can design adaptive filters according to the minimum mean squared error (MMSE) criterion and develop an efficient implementation, e.g. based on the LMS or RLS algorithm.  Furthermore, the students are able to apply methods of spectrum estimation and to take the effects of a limited observation window into account.
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 Electrical Engineering: Specialisation Control and Power Systems Engineering: Elective Compulsory
Computer Science in Engineering: Specialisation II. Engineering Science: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems, Focus Signal Processing: Elective Compulsory
Mechanical Engineering and Management: Specialisation Mechatronics: Elective Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Course L0446: Digital Signal Processing and Digital Filters
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Gerhard Bauch
Language EN
Cycle WiSe
Content
  • Transforms of discrete-time signals:

    • Discrete-time Fourier Transform (DTFT)

    • Discrete Fourier-Transform (DFT), Fast Fourier Transform (FFT)

    • Z-Transform

  • Correspondence of continuous-time and discrete-time signals, sampling, sampling theorem

  • Fast convolution, Overlap-Add-Method, Overlap-Save-Method

  • Fundamental structures and basic types of digital filters

  • Characterization of digital filters using pole-zero plots, important properties of digital filters

  • Quantization effects

  • Design of linear-phase filters

  • Fundamentals of stochastic signal processing and adaptive filters

    • MMSE criterion

    • Wiener Filter

    • LMS- and RLS-algorithm

  • Traditional and parametric methods of spectrum estimation

Literature

K.-D. Kammeyer, K. Kroschel: Digitale Signalverarbeitung. Vieweg Teubner.

V. Oppenheim, R. W. Schafer, J. R. Buck: Zeitdiskrete Signalverarbeitung. Pearson StudiumA. V.

W. Hess: Digitale Filter. Teubner.

Oppenheim, R. W. Schafer: Digital signal processing. Prentice Hall.

S. Haykin:  Adaptive flter theory.

L. B. Jackson: Digital filters and signal processing. Kluwer.

T.W. Parks, C.S. Burrus: Digital filter design. Wiley.

Course L0447: Digital Signal Processing and Digital Filters
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Gerhard Bauch
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0629: Intelligent Autonomous Agents and Cognitive Robotics

Courses
Title Typ Hrs/wk CP
Intelligent Autonomous Agents and Cognitive Robotics (L0341) Lecture 2 4
Intelligent Autonomous Agents and Cognitive Robotics (L0512) Recitation Section (small) 2 2
Module Responsible Rainer Marrone
Admission Requirements None
Recommended Previous Knowledge Vectors, matrices, Calculus
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can explain the agent abstraction, define intelligence in terms of rational behavior, and give details about agent design (goals, utilities, environments). They can describe the main features of environments. The notion of adversarial agent cooperation can be discussed in terms of decision problems and algorithms for solving these problems. For dealing with uncertainty in real-world scenarios, students can summarize how Bayesian networks can be employed as a knowledge representation and reasoning formalism in static and dynamic settings. In addition, students can define decision making procedures in simple and sequential settings, with and with complete access to the state of the environment. In this context, students can describe techniques for solving (partially observable) Markov decision problems, and they can recall techniques for measuring the value of information. Students can identify techniques for simultaneous localization and mapping, and can explain planning techniques for achieving desired states. Students can explain coordination problems and decision making in a multi-agent setting in term of different types of equilibria, social choice functions, voting protocol, and mechanism design techniques.

Skills

Students can select an appropriate agent architecture for concrete agent application scenarios. For simplified agent application students can derive decision trees and apply basic optimization techniques. For those applications they can also create Bayesian networks/dynamic Bayesian networks and apply bayesian reasoning for simple queries. Students can also name and apply different sampling techniques for simplified agent scenarios. For simple and complex decision making students can compute the best action or policies for concrete settings. In multi-agent situations students will apply techniques for finding different equilibria states,e.g., Nash equilibria. For multi-agent decision making students will apply different voting protocols and compare and explain the results.


Personal Competence
Social Competence

Students are able to discuss their solutions to problems with others. They communicate in English

Autonomy

Students are able of checking their understanding of complex concepts by solving varaints of concrete problems

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula Computer Science: Specialisation II: Intelligence Engineering: Elective Compulsory
International Management and Engineering: Specialisation II. Information Technology: Elective Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Course L0341: Intelligent Autonomous Agents and Cognitive Robotics
Typ Lecture
Hrs/wk 2
CP 4
Workload in Hours Independent Study Time 92, Study Time in Lecture 28
Lecturer Rainer Marrone
Language EN
Cycle WiSe
Content
  • Definition of agents, rational behavior, goals, utilities, environment types
  • Adversarial agent cooperation: 
    Agents with complete access to the state(s) of the environment, games, Minimax algorithm, alpha-beta pruning, elements of chance
  • Uncertainty: 
    Motivation: agents with no direct access to the state(s) of the environment, probabilities, conditional probabilities, product rule, Bayes rule, full joint probability distribution, marginalization, summing out, answering queries, complexity, independence assumptions, naive Bayes, conditional independence assumptions
  • Bayesian networks: 
    Syntax and semantics of Bayesian networks, answering queries revised (inference by enumeration), typical-case complexity, pragmatics: reasoning from effect (that can be perceived by an agent) to cause (that cannot be directly perceived).
  • Probabilistic reasoning over time:
    Environmental state may change even without the agent performing actions, dynamic Bayesian networks, Markov assumption, transition model, sensor model, inference problems: filtering, prediction, smoothing, most-likely explanation, special cases: hidden Markov models, Kalman filters, Exact inferences and approximations
  • Decision making under uncertainty:
    Simple decisions: utility theory, multivariate utility functions, dominance, decision networks, value of informatio
    Complex decisions: sequential decision problems, value iteration, policy iteration, MDPs
    Decision-theoretic agents: POMDPs, reduction to multidimensional continuous MDPs, dynamic decision networks
  • Simultaneous Localization and Mapping
  • Planning
  • Game theory (Golden Balls: Split or Share) 
    Decisions with multiple agents, Nash equilibrium, Bayes-Nash equilibrium
  • Social Choice 
    Voting protocols, preferences, paradoxes, Arrow's Theorem,
  • Mechanism Design 
    Fundamentals, dominant strategy implementation, Revelation Principle, Gibbard-Satterthwaite Impossibility Theorem, Direct mechanisms, incentive compatibility, strategy-proofness, Vickrey-Groves-Clarke mechanisms, expected externality mechanisms, participation constraints, individual rationality, budget balancedness, bilateral trade, Myerson-Satterthwaite Theorem
Literature
  1. Artificial Intelligence: A Modern Approach (Third Edition), Stuart Russell, Peter Norvig, Prentice Hall, 2010, Chapters 2-5, 10-11, 13-17
  2. Probabilistic Robotics, Thrun, S., Burgard, W., Fox, D. MIT Press 2005

  3. Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations, Yoav Shoham, Kevin Leyton-Brown, Cambridge University Press, 2009

Course L0512: Intelligent Autonomous Agents and Cognitive Robotics
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Rainer Marrone
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1598: Image Processing

Courses
Title Typ Hrs/wk CP
Image Processing (L2443) Lecture 2 4
Image Processing (L2444) Recitation Section (small) 2 2
Module Responsible Prof. Tobias Knopp
Admission Requirements None
Recommended Previous Knowledge Signal and Systems
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students know about

  • visual perception
  • multidimensional signal processing
  • sampling and sampling theorem
  • filtering
  • image enhancement
  • edge detection
  • multi-resolution procedures: Gauss and Laplace pyramid, wavelets
  • image compression
  • image segmentation
  • morphological image processing
Skills

The students can

  • analyze, process, and improve multidimensional image data
  • implement simple compression algorithms
  • design custom filters for specific applications
Personal Competence
Social Competence

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

Autonomy

Students are able to independently investigate a complex problem and assess which competencies are required to solve it. 

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula Data Science: Core Qualification: Elective Compulsory
Data Science: Specialisation I. Mathematics/Computer Science: Elective Compulsory
Data Science: Specialisation II. Computer Science: Elective Compulsory
Data Science: Specialisation IV. Special Focus Area: Elective Compulsory
Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory
Electrical Engineering: Specialisation Medical Technology: Elective Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Software and Signal Processing: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems, Focus Signal Processing: Elective Compulsory
International Management and Engineering: Specialisation II. Information Technology: Elective Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Mechatronics: Specialisation System Design: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Course L2443: Image Processing
Typ Lecture
Hrs/wk 2
CP 4
Workload in Hours Independent Study Time 92, Study Time in Lecture 28
Lecturer Prof. Tobias Knopp
Language DE/EN
Cycle WiSe
Content
  • Visual perception
  • Multidimensional signal processing
  • Sampling and sampling theorem
  • Filtering
  • Image enhancement
  • Edge detection
  • Multi-resolution procedures: Gauss and Laplace pyramid, wavelets
  • Image Compression
  • Segmentation
  • Morphological image processing
Literature

Bredies/Lorenz, Mathematische Bildverarbeitung, Vieweg, 2011
Pratt, Digital Image Processing, Wiley, 2001
Bernd Jähne: Digitale Bildverarbeitung - Springer, Berlin 2005

Course L2444: Image Processing
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Tobias Knopp
Language DE/EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0836: Communication Networks

Courses
Title Typ Hrs/wk CP
Selected Topics of Communication Networks (L0899) Project-/problem-based Learning 2 2
Communication Networks (L0897) Lecture 2 2
Communication Networks Excercise (L0898) Project-/problem-based Learning 1 2
Module Responsible Prof. Andreas Timm-Giel
Admission Requirements None
Recommended Previous Knowledge
  • Fundamental stochastics
  • Basic understanding of computer networks and/or communication technologies is beneficial
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to describe the principles and structures of communication networks in detail. They can explain the formal description methods of communication networks and their protocols. They are able to explain how current and complex communication networks work and describe the current research in these examples.

Skills

Students are able to evaluate the performance of communication networks using the learned methods. They are able to work out problems themselves and apply the learned methods. They can apply what they have learned autonomously on further and new communication networks.

Personal Competence
Social Competence

Students are able to define tasks themselves in small teams and solve these problems together using the learned methods. They can present the obtained results. They are able to discuss and critically analyse the solutions.

Autonomy

Students are able to obtain the necessary expert knowledge for understanding the functionality and performance capabilities of new communication networks independently.

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Presentation
Examination duration and scale 1.5 hours colloquium with three students, therefore about 30 min per student. Topics of the colloquium are the posters from the previous poster session and the topics of the module.
Assignment for the Following Curricula Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory
Electrical Engineering: Specialisation Control and Power Systems Engineering: Elective Compulsory
Aircraft Systems Engineering: Core Qualification: Elective Compulsory
Computer Science in Engineering: Specialisation I. Computer Science: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems: Elective Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Networks: Elective Compulsory
International Management and Engineering: Specialisation II. Information Technology: Elective Compulsory
Aeronautics: Core Qualification: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Course L0899: Selected Topics of Communication Networks
Typ Project-/problem-based Learning
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Dr.-Ing. Koojana Kuladinithi
Language EN
Cycle WiSe
Content Example networks selected by the students will be researched on in a PBL course by the students in groups and will be presented in a poster session at the end of the term.
Literature
  • see lecture
Course L0897: Communication Networks
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Dr.-Ing. Koojana Kuladinithi
Language EN
Cycle WiSe
Content
Literature
  • Skript des Instituts für Kommunikationsnetze
  • Tannenbaum, Computernetzwerke, Pearson-Studium


Further literature is announced at the beginning of the lecture.

Course L0898: Communication Networks Excercise
Typ Project-/problem-based Learning
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Dr.-Ing. Koojana Kuladinithi
Language EN
Cycle WiSe
Content Part of the content of the lecture Communication Networks are reflected in computing tasks in groups, others are motivated and addressed in the form of a PBL exercise.
Literature
  • announced during lecture

Module M1224: Selected Topics of Mechatronics (Alternative B: 6 LP)

Courses
Title Typ Hrs/wk CP
Applied Automation (L1592) Project-/problem-based Learning 3 3
Advanced Training Course SE-ZERT (L2739) Project-/problem-based Learning 2 3
Development Management for Mechatronics (L1512) Lecture 2 3
Fatigue & Damage Tolerance (L0310) Lecture 2 3
Industry 4.0 for Engineers (L2012) Lecture 2 3
Microcontroller Circuits: Implementation in Hardware and Software (L0087) Seminar 2 2
Microsystems Technology (L0724) Lecture 2 4
Model-Based Systems Engineering (MBSE) with SysML/UML (L1551) Project-/problem-based Learning 3 3
Sustainable Industrial Production (L2863) Lecture 2 4
Process Measurement Engineering (L1077) Lecture 2 3
Process Measurement Engineering (L1083) Recitation Section (large) 1 1
Feedback Control in Medical Technology (L0664) Lecture 2 3
Module Responsible Dr. Martin Gomse
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 express their extended knowledge and discuss the connection of different special fields or application areas of mechatronics
  • Students are qualified to connect different special fields with each other
Skills
  • Students can apply specialized solution strategies and new scientific methods in selected areas
  • Students are able to transfer learned skills to new and unknown problems and can develop own solution approaches
Personal Competence
Social Competence None
Autonomy
  • Students are able to develop their knowledge and skills by autonomous election of courses.
Workload in Hours Depends on choice of courses
Credit points 6
Assignment for the Following Curricula Mechatronics: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Course L1592: Applied Automation
Typ Project-/problem-based Learning
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Examination Form Mündliche Prüfung
Examination duration and scale 30 Minuten
Lecturer Prof. Thorsten Schüppstuhl
Language DE
Cycle WiSe
Content
-Project Based Learning
-Robot Operating System
-Robot structure and description
-Motion description
-Calibration
-Accuracy
Literature
John J. Craig
Introduction to Robotics - Mechanics and Control 
ISBN: 0131236296
 Pearson Education, Inc., 2005

Stefan Hesse
Grundlagen der Handhabungstechnik
ISBN: 3446418725
 München Hanser, 2010

K. Thulasiraman and M. N. S. Swamy
Graphs: Theory and Algorithms
ISBN: 9781118033104  %CITAVIPICKER£9781118033104£Titel anhand dieser ISBN in Citavi-Projekt übernehmen£%
John Wüey & Sons, Inc., 1992
Course L2739: Advanced Training Course SE-ZERT
Typ Project-/problem-based Learning
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 120 min
Lecturer Prof. Ralf God
Language DE
Cycle SoSe
Content
Literature

INCOSE Systems Engineering Handbuch - Ein Leitfaden für Systemlebenszyklus-Prozesse und -Aktivitäten, GfSE (Hrsg. der deutschen Übersetzung), ISBN 978-3-9818805-0-2.

ISO/IEC 15288 System- und Software-Engineering - System-Lebenszyklus-Prozesse (Systems and Software Engineering - System Life Cycle Processes).

Course L1512: Development Management for Mechatronics
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Mündliche Prüfung
Examination duration and scale 30 Minuten
Lecturer NN, Dr. Johannes Nicolas Gebhardt
Language DE
Cycle SoSe
Content
  • Processes and methods of product development - from idea to market launch
    • identification of market and technology potentials
    • development of a common product architecture
    • Synchronized product development across all engineering disciplines
    • product validation incl. customer view
  • Steering and optimization of product development
    • Design of processes for product development
    • IT systems for product development
    • Establishment of management standards
    • Typical types of organization
Literature
  • Bender: Embedded Systems - qualitätsorientierte Entwicklung 
  • Ehrlenspiel: Integrierte Produktentwicklung: Denkabläufe, Methodeneinsatz, Zusammenarbeit 
  • Gausemeier/Ebbesmeyer/Kallmeyer: Produktinnovation - Strategische Planung und Entwicklung der Produkte von morgen
  • Haberfellner/de Weck/Fricke/Vössner: Systems Engineering: Grundlagen und Anwendung
  • Lindemann: Methodische Entwicklung technischer Produkte: Methoden flexibel und situationsgerecht anwenden
  • Pahl/Beitz: Konstruktionslehre: Grundlagen erfolgreicher Produktentwicklung. Methoden und Anwendung 
  • VDI-Richtlinie 2206: Entwicklungsmethodik für mechatronische Systeme

Course L0310: Fatigue & Damage Tolerance
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Mündliche Prüfung
Examination duration and scale 45 min
Lecturer Dr. Martin Flamm
Language EN
Cycle WiSe
Content Design principles, fatigue strength, crack initiation and crack growth, damage calculation, counting methods, methods to improve fatigue strength, environmental influences
Literature Jaap Schijve, Fatigue of Structures and Materials. Kluver Academic Puplisher, Dordrecht, 2001 E. Haibach. Betriebsfestigkeit Verfahren und Daten zur Bauteilberechnung. VDI-Verlag, Düsseldorf, 1989
Course L2012: Industry 4.0 for Engineers
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 120 min
Lecturer Prof. Thorsten Schüppstuhl
Language DE
Cycle SoSe
Content
Literature
Course L0087: Microcontroller Circuits: Implementation in Hardware and Software
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Schriftliche Ausarbeitung
Examination duration and scale 10 min. Vortrag + anschließende Diskussion
Lecturer Prof. Siegfried Rump
Language DE
Cycle WiSe/SoSe
Content
Literature

ATmega16A 8-bit  Microcontroller with 16K Bytes In-System Programmable Flash - DATASHEET, Atmel Corporation 2014

Atmel AVR 8-bit Instruction Set Instruction Set Manual, Atmel Corporation 2016

Course L0724: Microsystems Technology
Typ Lecture
Hrs/wk 2
CP 4
Workload in Hours Independent Study Time 92, Study Time in Lecture 28
Examination Form Mündliche Prüfung
Examination duration and scale 30 min
Lecturer Prof. Hoc Khiem Trieu
Language EN
Cycle WiSe
Content
  • Introduction (historical view, scientific and economic relevance, scaling laws)
  • Semiconductor Technology Basics, Lithography (wafer fabrication, photolithography, improving resolution, next-generation lithography, nano-imprinting, molecular imprinting)
  • Deposition Techniques (thermal oxidation, epitaxy, electroplating, PVD techniques: evaporation and sputtering; CVD techniques: APCVD, LPCVD, PECVD and LECVD; screen printing)
  • Etching and Bulk Micromachining (definitions, wet chemical etching, isotropic etch with HNA, electrochemical etching, anisotropic etching with KOH/TMAH: theory, corner undercutting, measures for compensation and etch-stop techniques; plasma processes, dry etching: back sputtering, plasma etching, RIE, Bosch process, cryo process, XeF2 etching)
  • Surface Micromachining and alternative Techniques (sacrificial etching, film stress, stiction: theory and counter measures; Origami microstructures, Epi-Poly, porous silicon, SOI, SCREAM process, LIGA, SU8, rapid prototyping)
  • Thermal and Radiation Sensors (temperature measurement, self-generating sensors: Seebeck effect and thermopile; modulating sensors: thermo resistor, Pt-100, spreading resistance sensor, pn junction, NTC and PTC; thermal anemometer, mass flow sensor, photometry, radiometry, IR sensor: thermopile and bolometer)
  • Mechanical Sensors (strain based and stress based principle, capacitive readout, piezoresistivity,  pressure sensor: piezoresistive, capacitive and fabrication process; accelerometer: piezoresistive, piezoelectric and capacitive; angular rate sensor: operating principle and fabrication process)
  • Magnetic Sensors (galvanomagnetic sensors: spinning current Hall sensor and magneto-transistor; magnetoresistive sensors: magneto resistance, AMR and GMR, fluxgate magnetometer)
  • Chemical and Bio Sensors (thermal gas sensors: pellistor and thermal conductivity sensor; metal oxide semiconductor gas sensor, organic semiconductor gas sensor, Lambda probe, MOSFET gas sensor, pH-FET, SAW sensor, principle of biosensor, Clark electrode, enzyme electrode, DNA chip)
  • Micro Actuators, Microfluidics and TAS (drives: thermal, electrostatic, piezo electric and electromagnetic; light modulators, DMD, adaptive optics, microscanner, microvalves: passive and active, micropumps, valveless micropump, electrokinetic micropumps, micromixer, filter, inkjet printhead, microdispenser, microfluidic switching elements, microreactor, lab-on-a-chip, microanalytics)
  • MEMS in medical Engineering (wireless energy and data transmission, smart pill, implantable drug delivery system, stimulators: microelectrodes, cochlear and retinal implant; implantable pressure sensors, intelligent osteosynthesis, implant for spinal cord regeneration)
  • Design, Simulation, Test (development and design flows, bottom-up approach, top-down approach, testability, modelling: multiphysics, FEM and equivalent circuit simulation; reliability test, physics-of-failure, Arrhenius equation, bath-tub relationship)
  • System Integration (monolithic and hybrid integration, assembly and packaging, dicing, electrical contact: wire bonding, TAB and flip chip bonding; packages, chip-on-board, wafer-level-package, 3D integration, wafer bonding: anodic bonding and silicon fusion bonding; micro electroplating, 3D-MID)


Literature

M. Madou: Fundamentals of Microfabrication, CRC Press, 2002

N. Schwesinger: Lehrbuch Mikrosystemtechnik, Oldenbourg Verlag, 2009

T. M. Adams, R. A. Layton:Introductory MEMS, Springer, 2010

G. Gerlach; W. Dötzel: Introduction to microsystem technology, Wiley, 2008

Course L1551: Model-Based Systems Engineering (MBSE) with SysML/UML
Typ Project-/problem-based Learning
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Examination Form Schriftliche Ausarbeitung
Examination duration and scale ca. 10 Seiten
Lecturer Prof. Ralf God
Language DE
Cycle SoSe
Content

Objectives of the problem-oriented course are the acquisition of knowledge on system design using the formal languages SysML/UML, learning about tools for modeling and finally the implementation of a project with methods and tools of Model-Based Systems Engineering (MBSE) on a realistic hardware platform (e.g. Arduino®, Raspberry Pi®):
• What is a model? 
• What is Systems Engineering? 
• Survey of MBSE methodologies
• The modelling languages SysML /UML 
• Tools for MBSE 
• Best practices for MBSE 
• Requirements specification, functional architecture, specification of a solution
• From model to software code 
• Validation and verification: XiL methods
• Accompanying MBSE project

Literature

- Skript zur Vorlesung
- Weilkiens, T.: Systems Engineering mit SysML/UML: Modellierung, Analyse, Design. 2. Auflage, dpunkt.Verlag, 2008
- Holt, J., Perry, S.A., Brownsword, M.: Model-Based Requirements Engineering. Institution Engineering & Tech, 2011


Course L2863: Sustainable Industrial Production
Typ Lecture
Hrs/wk 2
CP 4
Workload in Hours Independent Study Time 92, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 60 min
Lecturer Dr. Simon Markus Kothe
Language DE
Cycle SoSe
Content

Industrial production deals with the manufacture of physical products to satisfy human needs using various manufacturing processes that change the form and physical properties of raw materials. Manufacturing is a central driver of economic development and has a major impact on the well-being of humanity. However, the scale of current manufacturing activities results in enormous global energy and material demands that are harmful to both the environment and people. Historically, industrial activities were mostly oriented towards economic constraints, while social and environmental consequences were only hardly considered. As a result, today's global consumption rates of many resources and associated emissions often exceed the natural regeneration rate of our planet. In this respect, current industrial production can mostly be described as unsustainable. This is emphasized each year by the Earth Overshoot Day, which marks the day when humanity's ecological footprint exceeds the Earth's annual regenerative capacity. 

This lecture aims to provide the motivation, analytical methods as well as approaches for sustainable industrial production and to clarify the influence of the production phase in relation to the raw material, use and recycling phases in the entire life cycle of products. For this, the following topics will be highlighted:

- Motivation for sustainable production, the 17 Sustainable Development Goals (SDGs) of the UN and their relevance for tomorrow's manufacturing;

- raw material vs. production phase vs. use phase vs. recycling/end-of-life phase: importance of the production phase for the environmental impact of manufactured products;

- Typical energy- and resource-intensive processes in industrial production and innovative approaches to increase energy and resource efficiency;

- Methodology for optimizing the energy and resource efficiency of industrial manufacturing chains with the three steps of modeling (1), evaluating (2) and improving (3);

- Resource efficiency of industrial manufacturing value chains and its assessment using life cycle analysis (LCA);

- Exercise: LCA analysis of a manufacturing process (thermoplastic joining of an aircraft fuselage segment) as part of a product life cycle assessment.


Literature

Literatur:

- Stefan Alexander (2020): Resource efficiency in manufacturing value chains. Cham: Springer International Publishing.

- Hauschild, Michael Z.; Rosenbaum, Ralph K.; Olsen, Stig Irving (Hg.) (2018): Life Cycle Assessment. Theory and Practice. Cham: Springer International Publishing.

- Kishita, Yusuke; Matsumoto, Mitsutaka; Inoue, Masato; Fukushige, Shinichi (2021): EcoDesign and sustainability. Singapore: Springer.

- Schebek, Liselotte; Herrmann, Christoph; Cerdas, Felipe (2019): Progress in Life Cycle Assessment. Cham: Springer International Publishing.

- Thiede, Sebastian; Hermann, Christoph (2019): Eco-factories of the future. Cham: Springer Nature Switzerland AG.

- Vorlesungsskript.

Course L1077: Process Measurement Engineering
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Mündliche Prüfung
Examination duration and scale 45 Minuten
Lecturer Prof. Roland Harig
Language DE/EN
Cycle SoSe
Content
  • Process measurement engineering in the context of process control engineering
    • Challenges of process measurement engineering
    • Instrumentation of processes
    • Classification of pickups
  • Systems theory in process measurement engineering
    • Generic linear description of pickups
    • Mathematical description of two-port systems
    • Fourier and Laplace transformation
  • Correlational measurement
    • Wide band signals
    • Auto- and cross-correlation function and their applications
    • Fault-free operation of correlational methods
  • Transmission of analog and digital measurement signals
    • Modulation process (amplitude and frequency modulation)
    • Multiplexing
    • Analog to digital converter


Literature

- Färber: „Prozeßrechentechnik“, Springer-Verlag 1994

- Kiencke, Kronmüller: „Meßtechnik“, Springer Verlag Berlin Heidelberg, 1995

- A. Ambardar: „Analog and Digital Signal Processing“ (1), PWS Publishing Company, 1995, NTC 339

- A. Papoulis: „Signal Analysis“ (1), McGraw-Hill, 1987, NTC 312 (LB)

- M. Schwartz: „Information Transmission, Modulation and Noise“ (3,4), McGraw-Hill, 1980, 2402095

- S. Haykin: „Communication Systems“ (1,3), Wiley&Sons, 1983, 2419072

- H. Sheingold: „Analog-Digital Conversion Handbook“ (5), Prentice-Hall, 1986, 2440072

- J. Fraden: „AIP Handbook of Modern Sensors“ (5,6), American Institute of Physics, 1993, MTB 346


Course L1083: Process Measurement Engineering
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Examination Form Mündliche Prüfung
Examination duration and scale
Lecturer Prof. Roland Harig
Language DE/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L0664: Feedback Control in Medical Technology
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Mündliche Prüfung
Examination duration and scale 20 min
Lecturer Johannes Kreuzer, Christian Neuhaus
Language DE
Cycle SoSe
Content

Always viewed from the engineer's point of view, the lecture is structured as follows:

  •     Introduction to the topic
  •     Fundamentals of physiological modelling
  •     Introduction to Breathing and Ventilation
  •     Physiology and Pathology in Cardiology
  •     Introduction to the Regulation of Blood Glucose
  •     kidney function and renal replacement therapy
  •     Representation of the control technology on the concrete ventilator
  •     Excursion to a medical technology company

Techniques of modeling, simulation and controller development are discussed. In the models, simple equivalent block diagrams for physiological processes are derived and explained how sensors, controllers and actuators are operated. MATLAB and SIMULINK are used as development tools.

Literature
  • Leonhardt, S., & Walter, M. (2016). Medizintechnische Systeme. Berlin, Heidelberg: Springer Vieweg.
  • Werner, J. (2005). Kooperative und autonome Systeme der Medizintechnik. München: Oldenbourg.
  • Oczenski, W. (2017). Atmen : Atemhilfen ; Atemphysiologie und Beatmungstechnik: Georg Thieme Verlag KG.

Module M0832: Advanced Topics in Control

Courses
Title Typ Hrs/wk CP
Advanced Topics in Control (L0661) Lecture 2 3
Advanced Topics in Control (L0662) Recitation Section (small) 2 3
Module Responsible NN
Admission Requirements None
Recommended Previous Knowledge H-infinity optimal control, mixed-sensitivity design, linear matrix inequalities 
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students can explain the advantages and shortcomings of the classical gain scheduling approach
  • They can explain the representation of nonlinear systems in the form of quasi-LPV systems
  • They can explain how stability and performance conditions for LPV systems can be formulated as LMI conditions
  • They can explain how gridding techniques can be used to solve analysis and synthesis problems for LPV systems
  • They are familiar with polytopic and LFT representations of LPV systems and some of the basic synthesis techniques associated with each of these model structures
  • Students can explain how graph theoretic concepts are used to represent the communication topology of multiagent systems
  • They can explain the convergence properties of first order consensus protocols
  • They can explain analysis and synthesis conditions for formation control loops involving either LTI or LPV agent models
  • Students can explain concepts behind linear and qLPV Model Predictive Control (MPC)
Skills
  • Students can construct LPV models of nonlinear plants and carry out a mixed-sensitivity design of gain-scheduled controllers; they can do this using polytopic, LFT or general LPV models 
  • They can use standard software tools (Matlab robust control toolbox) for these tasks
  • Students can design distributed formation controllers for groups of agents with either LTI or LPV dynamics, using Matlab tools provided
  • Students can design MPC controllers for linear and non-linear systems using Matlab tools
Personal Competence
Social Competence Students can work in small groups and arrive at joint results.
Autonomy

Students can find required information in sources provided (lecture notes, literature, software documentation) and use it to solve given problems. 


 
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula Electrical Engineering: Specialisation Control and Power Systems Engineering: Elective Compulsory
Aircraft Systems Engineering: Core Qualification: Elective Compulsory
Aeronautics: Core Qualification: Elective Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Mechatronics: Specialisation System Design: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Course L0661: Advanced Topics in Control
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer NN
Language EN
Cycle WiSe
Content
  • Linear Parameter-Varying (LPV) Gain Scheduling

    - Linearizing gain scheduling, hidden coupling
    - Jacobian linearization vs. quasi-LPV models
    - Stability and induced L2 norm of LPV systems
    - Synthesis of LPV controllers based on the two-sided projection lemma
    - Simplifications: controller synthesis for polytopic and LFT models
    - Experimental identification of LPV models
    - Controller synthesis based on input/output models
    - Applications: LPV torque vectoring for electric vehicles, LPV control of a robotic manipulator
  • Control of Multi-Agent Systems

    - Communication graphs
    - Spectral properties of the graph Laplacian
    - First and second order consensus protocols
    - Formation control, stability and performance
    - LPV models for agents subject to nonholonomic constraints
    - Application: formation control for a team of quadrotor helicopters

  • Linear and Nonlinear Model Predictive Control based on LMIs
Literature
  • Werner, H., Lecture Notes "Advanced Topics in Control"
  • Selection of relevant research papers made available as pdf documents via StudIP
Course L0662: Advanced Topics in Control
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer NN
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0881: Mathematical Image Processing

Courses
Title Typ Hrs/wk CP
Mathematical Image Processing (L0991) Lecture 3 4
Mathematical Image Processing (L0992) Recitation Section (small) 1 2
Module Responsible Prof. Marko Lindner
Admission Requirements None
Recommended Previous Knowledge
  • Analysis: partial derivatives, gradient, directional derivative
  • Linear Algebra: eigenvalues, least squares solution of a linear system
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to 

  • characterize and compare diffusion equations
  • explain elementary methods of image processing
  • explain methods of image segmentation and registration
  • sketch and interrelate basic concepts of functional analysis 
Skills

Students are able to 

  • implement and apply elementary methods of image processing  
  • explain and apply modern methods of image processing
Personal Competence
Social Competence

Students are able to work together in heterogeneously composed teams (i.e., teams from different study programs and background knowledge) and to explain theoretical foundations.

Autonomy
  • Students are capable of checking their understanding of complex concepts on their own. They can specify open questions precisely and know where to get help in solving them.
  • Students have developed sufficient persistence to be able to work for longer periods in a goal-oriented manner on hard problems.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Oral exam
Examination duration and scale 20 min
Assignment for the Following Curricula Bioprocess Engineering: Specialisation A - General Bioprocess Engineering: Elective Compulsory
Computer Science: Specialisation III. Mathematics: Elective Compulsory
Computer Science in Engineering: Specialisation III. Mathematics: Elective Compulsory
Interdisciplinary Mathematics: Specialisation Computational Methods in Biomedical Imaging: Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Mechatronics: Specialisation System Design: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Technomathematics: Specialisation I. Mathematics: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Process Engineering: Specialisation Process Engineering: Elective Compulsory
Course L0991: Mathematical Image Processing
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Marko Lindner
Language DE/EN
Cycle WiSe
Content
  • basic methods of image processing
  • smoothing filters
  • the diffusion / heat equation
  • variational formulations in image processing
  • edge detection
  • de-convolution
  • inpainting
  • image segmentation
  • image registration
Literature Bredies/Lorenz: Mathematische Bildverarbeitung
Course L0992: Mathematical Image Processing
Typ Recitation Section (small)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Marko Lindner
Language DE/EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1748: Construction Robotics

Courses
Title Typ Hrs/wk CP
Construction Robotics (L2867) Project-/problem-based Learning 6 6
Module Responsible Prof. Kay Smarsly
Admission Requirements None
Recommended Previous Knowledge

Basics of project-oriented programming

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

Basics of robotics

Applications in civil engineering

Kinematics

Skills

Use of specific hardware

Development of software routines

Python programming language

Image processing

Basics of localization (LIDAR, SLAM)

Personal Competence
Social Competence

Teamwork

Communication skills

Autonomy

Independent work

Independent decisions

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 ca. 10 Seiten
Assignment for the Following Curricula Civil Engineering: Specialisation Structural Engineering: Elective Compulsory
Civil Engineering: Specialisation Water and Traffic: Elective Compulsory
Civil Engineering: Specialisation Coastal Engineering: Elective Compulsory
Civil Engineering: Specialisation Geotechnical Engineering: Elective Compulsory
Civil Engineering: Specialisation Computational Engineering: Elective Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Course L2867: Construction Robotics
Typ Project-/problem-based Learning
Hrs/wk 6
CP 6
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Lecturer Prof. Kay Smarsly, Jan Stührenberg, Mathias Worm
Language DE/EN
Cycle WiSe
Content
  1. Introduction: Robotics in civil engineering
  2. Presentation of potential topics
  3. Programming of algorithms in Python
  4. Application of software systems: LINUX distribution, ROS, CloudCompare, ...
  5. Application of hardware systems: Petoi Bittle Dog, Raspberry Pi, Arduino, sensing ...
  6. Topics considered for robotics using the Petoi Bittle Dog:
    1. Movement
    2. Use of sensors (camera, infrared, ...)
    3. Data structures/data acquisition
    4. Programming
  7. Topics technically relevant to building inspection:
    1. Geodetic evaluations
    2. Image processing
    3. Localization


Literature

Bock/Linner: Construction Robotics
Verl et al.: Soft Robotics
Pasquale: New Laws of robotics

Module M1182: Technical Elective Course for TMBMS (according to Subject Specific Regulations)

Courses
Title Typ Hrs/wk CP
Module Responsible Prof. Robert Seifried
Admission Requirements None
Recommended Previous Knowledge see FSPO
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge see FSPO
Skills see FSPO
Personal Competence
Social Competence see FSPO
Autonomy see FSPO
Workload in Hours Depends on choice of courses
Credit points 6
Assignment for the Following Curricula Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory

Specialization Simulation Technology

Module M0603: Nonlinear Structural Analysis

Courses
Title Typ Hrs/wk CP
Nonlinear Structural Analysis (L0277) Lecture 3 4
Nonlinear Structural Analysis (L0279) Recitation Section (small) 1 2
Module Responsible Prof. Alexander Düster
Admission Requirements None
Recommended Previous Knowledge

Knowledge of partial differential equations is recommended.

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

Students are able to
+ give an overview of the different nonlinear phenomena in structural mechanics.
+ explain the mechanical background of nonlinear phenomena in structural mechanics.
+ to specify problems of nonlinear structural analysis, to identify them in a given situation and to explain their mathematical and mechanical background.

Skills

Students are able to
+ model nonlinear structural problems.
+ select for a given nonlinear structural problem a suitable computational procedure.
+ apply finite element procedures for nonlinear structural analysis.
+ critically verify and judge results of nonlinear finite elements.
+ to transfer their knowledge of nonlinear solution procedures to new problems.

Personal Competence
Social Competence Students are able to
+ solve problems in heterogeneous groups.
+ present and discuss their results in front of others.
+ give and accept professional constructive criticism.


Autonomy

Students are able to
+ assess their knowledge by means of exercises and E-Learning.
+ acquaint themselves with the necessary knowledge to solve research oriented tasks.
+ to transform the acquired knowledge to similar problems.


Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula Civil Engineering: Specialisation Structural Engineering: Elective Compulsory
Civil Engineering: Specialisation Computational Engineering: Compulsory
International Management and Engineering: Specialisation II. Civil Engineering: Elective Compulsory
Materials Science: Specialisation Modeling: Elective Compulsory
Mechatronics: Technical Complementary Course: Elective Compulsory
Mechatronics: Specialisation System Design: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Product Development, Materials and Production: Core Qualification: Elective Compulsory
Naval Architecture and Ocean Engineering: Core Qualification: Elective Compulsory
Ship and Offshore Technology: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory
Course L0277: Nonlinear Structural Analysis
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Alexander Düster
Language DE/EN
Cycle WiSe
Content

1. Introduction
2. Nonlinear phenomena
3. Mathematical preliminaries
4. Basic equations of continuum mechanics
5. Spatial discretization with finite elements
6. Solution of nonlinear systems of equations
7. Solution of elastoplastic problems
8. Stability problems
9. Contact problems

Literature

[1] Alexander Düster, Nonlinear Structrual Analysis, Lecture Notes, Technische Universität Hamburg-Harburg, 2014.
[2] Peter Wriggers, Nonlinear Finite Element Methods, Springer 2008.
[3] Peter Wriggers, Nichtlineare Finite-Elemente-Methoden, Springer 2001.
[4] Javier Bonet and Richard D. Wood, Nonlinear Continuum Mechanics for Finite Element Analysis, Cambridge University Press, 2008.

Course L0279: Nonlinear Structural Analysis
Typ Recitation Section (small)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Alexander Düster
Language DE/EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1151: Materials Modeling

Courses
Title Typ Hrs/wk CP
Material Modeling (L1535) Lecture 2 3
Material Modeling (L1536) Recitation Section (small) 2 3
Module Responsible Prof. Christian Cyron
Admission Requirements None
Recommended Previous Knowledge

Basics of mechanics as taught, e.g., in the modules Engineering Mechanics I and Engineering Mechanics II at TUHH (forces and moments, stress, linear strain, free-body principle, linear-elastic constitutive laws, strain energy); basics of mathematics as taught, e.g., in the modules Mathematics I and Mathematics II at TUHH

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge The students understand the theoretical foundations of anisotropic elasticity, viscoelasticity and elasto-plasticity in the realm of three-dimensional (linear) continuum mechanics. In the area of anisotropic elasticity, they know the concept of material symmetry and its application in orthotropic, transversely isotropic and isotropic materials. They understand the concept of stiffness and compliance and how both can be characterized by appropriate parameters. Moreover, the students understand viscoelasticity both in the time and frequency domain using the concepts of relaxation modulus, creep modulus, storage modulus and loss modulus. In the area of elasto-plasticity, the students know the concept of yield stress or (in higher dimensions) yield surface and of plastic potential. Additionally, the know the concepts of ideal plasticity, hardening and weakening. Moreover, they know von-Mises plasticity as a specific model of elasto-plasticity. 
Skills The students can independently identify and solve problems in the area of materials modeling and acquire the knowledge to do so. This holds in particular for the area fo anisotropically elastic, viscoelastic and elasto-plastic material behavior. In these areas, the students can independently develop models for complex material behavior. To this end, they have the ability to read and understand relevant literature and identify the relevant results reported there. Moreover, they can implement models which they developed or found in the literature in computational software (e.g., based on the finite element method) and use it for practical calculations.
Personal Competence
Social Competence

The students are able to develop constitutive models for materials and present them to specialists. Moreover, they have the ability to discuss challenging problems of materials modeling with experts using the proper terminoloy, to identify and ask critical questions in such discussions and to identify and discuss potential caveats in models presented to them.


Autonomy

The students have the ability to independently develop abstract models that allow them to classify observed phenomena within an more general abstract framework and to predict their further evolution. Moreover, the students understand the advantages but also limitations of mathematical models and can thus independently decide when and to which extent they make sense as a basis for decisions.



Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 60 min
Assignment for the Following Curricula Materials Science: Specialisation Modeling: Elective Compulsory
Mechanical Engineering and Management: Specialisation Materials: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Product Development, Materials and Production: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Course L1535: Material Modeling
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Christian Cyron
Language DE
Cycle WiSe
Content

One of the most important questions when modeling mechanical systems in practice is how to model the behavior of the materials of their different components. In addition to simple isotropic elasticity in particular the following phenomena play key roles

- anisotropy (material behavior depending on direction, e.g., in fiber-reinforced materials)
- plasticity (permanent deformation due to one-time overload, e.g., in metal forming)
- viscoelasticity (absorption of energy, e.g., in dampers)
- creep (slow deformation under permanent load, e.g., in pipes)

This lecture briefly introduces the theoretical foundations and mathematical modeling of the above phenomena. It is complemented by exercises where simple examples problems are solved by calculations and where the implementation of the content of the lecture in computer simulations is explained. It will also briefly discussed how important material parameters can be determined from experimental data.

Literature

Empfohlene Literatur / Recommended literature:
1) Dietmar Gross, Werner Hauger, Peter Wriggers, Technische Mechanik 4, Springer 2018, DOI: 10.1007/978-3-662-55694-8
2) Peter Haupt, Continuum Mechanics and Theory of Materials, Springer 2002, DOI: 10.1007/978-3-662-04775-0

Course L1536: Material Modeling
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Christian Cyron
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0906: Numerical Simulation and Lagrangian Transport

Courses
Title Typ Hrs/wk CP
Lagrangian transport in turbulent flows (L2301) Lecture 2 3
Computational Fluid Dynamics - Exercises in OpenFoam (L1375) Recitation Section (small) 1 1
Computational Fluid Dynamics in Process Engineering (L1052) Lecture 2 2
Module Responsible Prof. Michael Schlüter
Admission Requirements None
Recommended Previous Knowledge
  • Mathematics I-IV
  • Basic knowledge in Fluid Mechanics
  • Basic knowledge in chemical thermodynamics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

After successful completion of the module the students are able to

  • explain the the basic principles of statistical thermodynamics (ensembles, simple systems) 
  • describe the main approaches in classical Molecular Modeling (Monte Carlo, Molecular Dynamics) in various ensembles
  • discuss examples of computer programs in detail,
  • evaluate the application of numerical simulations,
  • list the possible start and boundary conditions for a numerical simulation.
Skills

The students are able to:

  • set up computer programs for solving simple problems by Monte Carlo or molecular dynamics,
  • solve problems by molecular modeling,
  • set up a numerical grid,
  • perform a simple numerical simulation with OpenFoam,
  • evaluate the result of a numerical simulation.

Personal Competence
Social Competence

The students are able to

  • develop joint solutions in mixed teams and present them in front of the other students,
  • to collaborate in a team and to reflect their own contribution toward it.




Autonomy

The students are able to:

  • evaluate their learning progress and to define the following steps of learning on that basis,
  • evaluate possible consequences for their profession.
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula Bioprocess Engineering: Specialisation A - General Bioprocess Engineering: Elective Compulsory
Bioprocess Engineering: Specialisation B - Industrial Bioprocess Engineering: Elective Compulsory
Chemical and Bioprocess Engineering: Specialisation Chemical Process Engineering: Elective Compulsory
Chemical and Bioprocess Engineering: Specialisation General Process Engineering: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory
Process Engineering: Specialisation Chemical Process Engineering: Elective Compulsory
Process Engineering: Specialisation Process Engineering: Elective Compulsory
Course L2301: Lagrangian transport in turbulent flows
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr. Yan Jin
Language EN
Cycle SoSe
Content

Contents

- Common variables and terms for characterizing turbulence (energy spectra, energy cascade, etc.)

- An overview of Lagrange analysis methods and experiments in fluid mechanics

- Critical examination of the concept of turbulence and turbulent structures.

-Calculation of the transport of ideal fluid elements and associated analysis methods (absolute and relative diffusion, Lagrangian Coherent Structures, etc.)

- Implementation of a Runge-Kutta 4th-order in Matlab

- Introduction to particle integration using ODE solver from Matlab

- Problems from turbulence research

- Application analytical methods with Matlab.


Structure:

- 14 units a 2x45 min. 

- 10 units lecture

- 4 Units Matlab Exercise- Go through the exercises Matlab, Peer2Peer? Explain solutions to your colleague


Learning goals:

Students receive very specific, in-depth knowledge from modern turbulence research and transport analysis. → Knowledge

The students learn to classify the acquired knowledge, they study approaches to further develop the knowledge themselves and to relate different data sources to each other. → Knowledge, skills

The students are trained in the personal competence to independently delve into and research a scientific topic. → Independence

Matlab exercises in small groups during the lecture and guided Peer2Peer discussion rounds train communication skills in complex situations. The mixture of precise language and intuitive understanding is learnt. → Knowledge, social competence


Required knowledge:

Fluid mechanics 1 and 2 advantageous

Programming knowledge advantageous



Literature

Bakunin, Oleg G. (2008): Turbulence and Diffusion. Scaling Versus Equations. Berlin [u. a.]: Springer Verlag.

Bourgoin, Mickaël; Ouellette, Nicholas T.; Xu, Haitao; Berg, Jacob; Bodenschatz, Eberhard (2006): The role of pair dispersion in turbulent flow. In: Science (New York, N.Y.) 311 (5762), S. 835-838. DOI: 10.1126/science.1121726.

Davidson, P. A. (2015): Turbulence. An introduction for scientists and engineers. Second edition. Oxford: Oxford Univ. Press.

Graff, L. S.; Guttu, S.; LaCasce, J. H. (2015): Relative Dispersion in the Atmosphere from Reanalysis Winds. In: J. Atmos. Sci. 72 (7), S. 2769-2785. DOI: 10.1175/JAS-D-14-0225.1.

Grigoriev, Roman (2011): Transport and Mixing in Laminar Flows. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA.

Haller, George (2015): Lagrangian Coherent Structures. In: Annu. Rev. Fluid Mech. 47 (1), S. 137-162. DOI: 10.1146/annurev-fluid-010313-141322.

Kameke, A. von; Huhn, F.; Fernández-García, G.; Muñuzuri, A. P.; Pérez-Muñuzuri, V. (2010): Propagation of a chemical wave front in a quasi-two-dimensional superdiffusive flow. In: Physical review. E, Statistical, nonlinear, and soft matter physics 81 (6 Pt 2), S. 66211. DOI: 10.1103/PhysRevE.81.066211.

Kameke, A. von; Huhn, F.; Fernández-García, G.; Muñuzuri, A. P.; Pérez-Muñuzuri, V. (2011): Double cascade turbulence and Richardson dispersion in a horizontal fluid flow induced by Faraday waves. In: Physical review letters 107 (7), S. 74502. DOI: 10.1103/PhysRevLett.107.074502.

Kameke, A.v.; Kastens, S.; Rüttinger, S.; Herres-Pawlis, S.; Schlüter, M. (2019): How coherent structures dominate the residence time in a bubble wake: An experimental example. In: Chemical Engineering Science 207, S. 317-326. DOI: 10.1016/j.ces.2019.06.033.

Klages, Rainer; Radons, Günter; Sokolov, Igor M. (2008): Anomalous Transport: Wiley.

LaCasce, J. H. (2008): Statistics from Lagrangian observations. In: Progress in Oceanography 77 (1), S. 1-29. DOI: 10.1016/j.pocean.2008.02.002.

Neufeld, Zoltán; Hernández-García, Emilio (2009): Chemical and Biological Processes in Fluid Flows: PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO.

Onu, K.; Huhn, F.; Haller, G. (2015): LCS Tool: A computational platform for Lagrangian coherent structures. In: Journal of Computational Science 7, S. 26-36. DOI: 10.1016/j.jocs.2014.12.002.

Ouellette, Nicholas T.; Xu, Haitao; Bourgoin, Mickaël; Bodenschatz, Eberhard (2006): An experimental study of turbulent relative dispersion models. In: New J. Phys. 8 (6), S. 109. DOI: 10.1088/1367-2630/8/6/109.

Pope, Stephen B. (2000): Turbulent Flows. Cambridge: Cambridge University Press.

Rivera, M. K.; Ecke, R. E. (2005): Pair dispersion and doubling time statistics in two-dimensional turbulence. In: Physical review letters 95 (19), S. 194503. DOI: 10.1103/PhysRevLett.95.194503.

Vallis, Geoffrey K. (2010): Atmospheric and oceanic fluid dynamics. Fundamentals and large-scale circulation. 5. printing. Cambridge: Cambridge Univ. Press.

Course L1375: Computational Fluid Dynamics - Exercises in OpenFoam
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Michael Schlüter
Language EN
Cycle SoSe
Content
  • generation of numerical grids with a common grid generator
  • selection of models and boundary conditions
  • basic numerical simulation with OpenFoam within the TUHH CIP-Pool


Literature OpenFoam Tutorials (StudIP)
Course L1052: Computational Fluid Dynamics in Process Engineering
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Michael Schlüter
Language EN
Cycle SoSe
Content
  • Introduction into partial differential equations
  • Basic equations
  • Boundary conditions and grids
  • Numerical methods
  • Finite difference method
  • Finite volume method
  • Time discretisation and stability
  • Population balance
  • Multiphase Systems
  • Modeling of Turbulent Flows
  • Exercises: Stability Analysis 
  • Exercises: Example on CFD - analytically/numerically 
Literature

Paschedag A.R.: CFD in der Verfahrenstechnik: Allgemeine Grundlagen und mehrphasige Anwendungen, Wiley-VCH, 2004 ISBN 3-527-30994-2.

Ferziger, J.H.; Peric, M.: Numerische Strömungsmechanik. Springer-Verlag, Berlin, 2008, ISBN: 3540675868.

Ferziger, J.H.; Peric, M.: Computational Methods for Fluid Dynamics. Springer, 2002, ISBN 3-540-42074-6


Module M0605: Computational Structural Dynamics

Courses
Title Typ Hrs/wk CP
Computational Structural Dynamics (L0282) Lecture 3 4
Computational Structural Dynamics (L0283) Recitation Section (small) 1 2
Module Responsible Prof. Alexander Düster
Admission Requirements None
Recommended Previous Knowledge

Knowledge of partial differential equations is recommended.

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

Students are able to
+ give an overview of the computational procedures for problems of structural dynamics.
+ explain the application of finite element programs to solve problems of structural dynamics.
+ specify problems of computational structural dynamics, to identify them in a given situation and to explain their mathematical and mechanical background.

Skills

Students are able to
+ model problems of structural dynamics.
+ select a suitable solution procedure for a given problem of structural dynamics.
+ apply computational procedures to solve problems of structural dynamics.
+ verify and critically judge results of computational structural dynamics.

Personal Competence
Social Competence Students are able to
+ solve problems in heterogeneous groups.
+ present and discuss their results in front of others.
+ give and accept professional constructive criticism.


Autonomy

Students are able to
+ assess their knowledge by means of exercises and E-Learning.
+ acquaint themselves with the necessary knowledge to solve research oriented tasks.
+ to transform the acquired knowledge to similar problems.


Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 2h
Assignment for the Following Curricula Civil Engineering: Specialisation Computational Engineering: Elective Compulsory
International Management and Engineering: Specialisation II. Mechatronics: Elective Compulsory
Materials Science: Specialisation Modeling: Elective Compulsory
Mechatronics: Technical Complementary Course: Elective Compulsory
Naval Architecture and Ocean Engineering: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory
Course L0282: Computational Structural Dynamics
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Alexander Düster
Language DE
Cycle SoSe
Content

1. Motivation
2. Basics of dynamics
3. Time integration methods
4. Modal analysis
5. Fourier transform
6. Applications

Literature

[1] K.-J. Bathe, Finite-Elemente-Methoden, Springer, 2002.
[2] J.L. Humar, Dynamics of Structures, Taylor & Francis, 2012.

Course L0283: Computational Structural Dynamics
Typ Recitation Section (small)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Alexander Düster
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0837: Simulation of Communication Networks

Courses
Title Typ Hrs/wk CP
Simulation of Communication Networks (L0887) Project-/problem-based Learning 5 6
Module Responsible Prof. Andreas Timm-Giel
Admission Requirements None
Recommended Previous Knowledge
  • Knowledge of computer and communication networks
  • Basic programming skills
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to explain the necessary stochastics, the discrete event simulation technology and modelling of networks for performance evaluation.

Skills

Students are able to apply the method of simulation for performance evaluation to different, also not practiced, problems of communication networks. The students can analyse the obtained results and explain the effects observed in the network. They are able to question their own results.

Personal Competence
Social Competence

Students are able to acquire expert knowledge in groups, present the results, and discuss solution approaches and results. They are able to work out solutions for new problems in small teams.

Autonomy

Students are able to transfer independently and in discussion with others the acquired method and expert knowledge to new problems. They can identify missing knowledge and acquire this knowledge independently.

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory
Aircraft Systems Engineering: Core Qualification: Elective Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Networks: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems: Elective Compulsory
International Management and Engineering: Specialisation II. Information Technology: Elective Compulsory
Aeronautics: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory
Course L0887: Simulation of Communication Networks
Typ Project-/problem-based Learning
Hrs/wk 5
CP 6
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Lecturer Dr.-Ing. Koojana Kuladinithi
Language EN
Cycle SoSe
Content

In the course necessary basic stochastics and the discrete event simulation are introduced. Also simulation models for communication networks, for example, traffic models, mobility models and radio channel models are presented in the lecture. Students work with a simulation tool, where they can directly try out the acquired skills, algorithms and models. At the end of the course increasingly complex networks and protocols are considered and their performance is determined by simulation.

Literature
  • Skript des Instituts für Kommunikationsnetze

Further literature is announced at the beginning of the lecture.

Module M0606: Numerical Algorithms in Structural Mechanics

Courses
Title Typ Hrs/wk CP
Numerical Algorithms in Structural Mechanics (L0284) Lecture 2 3
Numerical Algorithms in Structural Mechanics (L0285) Recitation Section (small) 2 3
Module Responsible Prof. Alexander Düster
Admission Requirements None
Recommended Previous Knowledge

Knowledge of partial differential equations is recommended.

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

Students are able to
+ give an overview of the standard algorithms that are used in finite element programs.
+ explain the structure and algorithm of finite element programs.
+ specify problems of numerical algorithms, to identify them in a given situation and to explain their mathematical and computer science background.

Skills

Students are able to 
+ construct algorithms for given numerical methods.
+ select for a given problem of structural mechanics a suitable algorithm.
+ apply numerical algorithms to solve problems of structural mechanics.
+ implement algorithms in a high-level programming languate (here C++).
+ critically judge and verfiy numerical algorithms.

Personal Competence
Social Competence Students are able to
+ solve problems in heterogeneous groups.
+ present and discuss their results in front of others.
+ give and accept professional constructive criticism.


Autonomy Students are able to
+ assess their knowledge by means of exercises and E-Learning.
+ acquaint themselves with the necessary knowledge to solve research oriented tasks.
+ to transform the acquired knowledge to similar problems.


Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 2h
Assignment for the Following Curricula Civil Engineering: Specialisation Computational Engineering: Elective Compulsory
Materials Science: Specialisation Modeling: Elective Compulsory
Naval Architecture and Ocean Engineering: Core Qualification: Elective Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory
Course L0284: Numerical Algorithms in Structural Mechanics
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Alexander Düster
Language DE
Cycle SoSe
Content

1. Motivation
2. Basics of C++
3. Numerical integration
4. Solution of nonlinear problems
5. Solution of linear equation systems
6. Verification of numerical algorithms
7. Selected algorithms and data structures of a finite element code

Literature

[1] D. Yang, C++ and object-oriented numeric computing, Springer, 2001.
[2] K.-J. Bathe, Finite-Elemente-Methoden, Springer, 2002.

Course L0285: Numerical Algorithms in Structural Mechanics
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Alexander Düster
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0805: Technical Acoustics I (Acoustic Waves, Noise Protection, Psycho Acoustics )

Courses
Title Typ Hrs/wk CP
Technical Acoustics I (Acoustic Waves, Noise Protection, Psycho Acoustics ) (L0516) Lecture 2 3
Technical Acoustics I (Acoustic Waves, Noise Protection, Psycho Acoustics ) (L0518) Recitation Section (large) 2 3
Module Responsible Prof. Benedikt Kriegesmann
Admission Requirements None
Recommended Previous Knowledge

Mechanics I (Statics, Mechanics of Materials) and Mechanics II (Hydrostatics, Kinematics, Dynamics)

Mathematics I, II, III (in particular differential equations)

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

The students possess an in-depth knowledge in acoustics regarding acoustic waves, noise protection, and psycho acoustics and are able to give an overview of the corresponding theoretical and methodical basis.

Skills

The students are capable to handle engineering problems in acoustics by theory-based application of the demanding methodologies and measurement procedures treated within the module.

Personal Competence
Social Competence

Students can work in small groups on specific problems to arrive at joint solutions.

Autonomy

The students are able to independently solve challenging acoustical problems in the areas treated within the module. Possible conflicting issues and limitations can be identified and the results are critically scrutinized.

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 Aircraft Systems Engineering: Core Qualification: Elective Compulsory
International Management and Engineering: Specialisation II. Aviation Systems: Elective Compulsory
Aeronautics: Core Qualification: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Product Development, Materials and Production: Core Qualification: Elective Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory
Course L0516: Technical Acoustics I (Acoustic Waves, Noise Protection, Psycho Acoustics )
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr.-Ing. Sören Keuchel
Language EN
Cycle SoSe
Content

- Introduction and Motivation
- Acoustic quantities
- Acoustic waves
- Sound sources, sound radiation
- Sound engergy and intensity
- Sound propagation
- Signal processing
- Psycho acoustics
- Noise
- Measurements in acoustics

Literature

Cremer, L.; Heckl, M. (1996): Körperschall. Springer Verlag, Berlin
Veit, I. (1988): Technische Akustik. Vogel-Buchverlag, Würzburg
Veit, I. (1988): Flüssigkeitsschall. Vogel-Buchverlag, Würzburg

Course L0518: Technical Acoustics I (Acoustic Waves, Noise Protection, Psycho Acoustics )
Typ Recitation Section (large)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr.-Ing. Sören Keuchel
Language EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1281: Advanced Topics in Vibration

Courses
Title Typ Hrs/wk CP
Advanced Topics in Vibration (L1743) Project-/problem-based Learning 4 6
Module Responsible Prof. Norbert Hoffmann
Admission Requirements None
Recommended Previous Knowledge Vibration Theory
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students are able to reflect existing terms and concepts of Advanced Vibrations.
  • Students are able to identify the need to develop and research new terms and concepts in vibrations.
Skills
  • Students are able to apply existing methods and procesures of Advanced Vibrations. 
  • Students are able to develop novel methods and procedures for advanced vibration problems.
Personal Competence
Social Competence
  • Students can reach working results also in groups.
  • Students can present working results also in groups.
Autonomy
  • Students are able to approach given research tasks individually
  • Students are able to identify and follow up novel research tasks by themselves.
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 2 Hours
Assignment for the Following Curricula Mechatronics: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory
Course L1743: Advanced Topics in Vibration
Typ Project-/problem-based Learning
Hrs/wk 4
CP 6
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Lecturer Prof. Norbert Hoffmann
Language DE/EN
Cycle SoSe
Content

Advanced and Research Topics in Vibrations

  • Rotor Dynamics
  • Modal Analysis
  • Model Order Reduction
  • Stability of Periodic Solutions
  • Random Vibrations
Literature

Aktuelle Veröffentlichungen / Recent research publications

Bücher/Books:

Gasch, Nordmann, Pfützner: Rotordynamik

Gasch, Knothe, Liebich: Strukturdynamik

Module M1845: Thin-walled structures

Courses
Title Typ Hrs/wk CP
Thin-walled structures (L1199) Lecture 2 3
Thin-walled structures (L3045) Recitation Section (large) 2 3
Module Responsible Prof. Bastian Oesterle
Admission Requirements None
Recommended Previous Knowledge
  • Structural Analysis I
  • Structural Analysis II
  • Finite Element Methods
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

After successful completion of this module, the students can express the basic aspects of the load-carrying behaviour of thin-walled structures.

Skills

After successful completion of this module, the students will be able to predict load-carrying behaviour of thin-walled structures using appropriate analytical and coputational methods.

Personal Competence
Social Competence

Students can

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

Students are able to gain knowledge of the subject area from given and other sources and apply it to new problems. Furthermore, they are able to structure the solution process for problems in the area of modelling and analysis of thin-walled structures.

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 Civil Engineering: Specialisation Coastal Engineering: Elective Compulsory
Civil Engineering: Specialisation Geotechnical Engineering: Elective Compulsory
Civil Engineering: Specialisation Structural Engineering: Elective Compulsory
Civil Engineering: Specialisation Computational Engineering: Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory
Course L1199: Thin-walled structures
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Bastian Oesterle
Language DE
Cycle SoSe
Content

Plates loaded in-plane

  • Governing equations (equilibrium, kinematics, constitutive law)
  • Differential equation
  • Airy stress function
  • Plane stress / plane strain
  • Structural behaviour of plates loaded in-plane
  • finite elements for plates loaded in-plane, modelling apsects, interpretation and critical assessment of results

Plates in bending

  • Governing equations (equilibrium, kinematics, constitutive law)
  • Differential equation
  • Navier solution / Fourier series expansion
  • Approximation procedures
  • Circular and rectangular plates
  • Structural behaviour of plates in bending
  • finite elements for plates in bending, modelling apsects, interpretation and critical assessment of results

Shells

  • Phenomenona of the structural behaviour of shells
  • Membrane and bending theory
  • Equilibrium equations of shells of revolution
  • Stress resultants and deformations of the spherical shell, the half spherical shell, and the cylindrical shell
  • finite elements for shells

Stability problems (overview)

  • Plate buckling
  • Shell buckling


Literature
  • Vorlesungsmanuskript
  • Basar, Y.: Krätzig, W.B. (1985): Mechanik der Flächentragwerke. Vieweg-Verlag, Braunschweig, Wiesbaden
  • Girkmann, K. (1963): Flächentragwerke, Springer Verlag, Wien, 1963, unveränderter Nachdruck 1986
  • Zienkiewicz, O.C. (1977): The Finite Element Method in Enginieering Science. McGraw-Hill, London


Course L3045: Thin-walled structures
Typ Recitation Section (large)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Bastian Oesterle
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0716: Hierarchical Algorithms

Courses
Title Typ Hrs/wk CP
Hierarchical Algorithms (L0585) Lecture 2 3
Hierarchical Algorithms (L0586) Recitation Section (small) 2 3
Module Responsible Prof. Sabine Le Borne
Admission Requirements None
Recommended Previous Knowledge
  • Mathematics I, II, III for Engineering students (german or english) or Analysis & Linear Algebra I + II as well as Analysis III for Technomathematicians
  • Programming experience in C
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to

  • name representatives of hierarchical algorithms and list their characteristics,
  • explain construction techniques for hierarchical algorithms,
  • discuss aspects regarding the efficient implementation of hierarchical algorithms.
Skills

Students are able to

  • implement the hierarchical algorithms discussed in the lecture,
  • analyse the storage and computational complexities of the algorithms,
  • adapt algorithms to problem settings of various applications and thus develop problem adapted variants.
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 work on complex problems over an extended period of time,
  • 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 Oral exam
Examination duration and scale 20 min
Assignment for the Following Curricula Computer Science: Specialisation III. Mathematics: Elective Compulsory
Data Science: Specialisation I. Mathematics: Elective Compulsory
Data Science: Specialisation IV. Special Focus Area: Elective Compulsory
Technomathematics: Specialisation I. Mathematics: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory
Course L0585: Hierarchical Algorithms
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 DE/EN
Cycle WiSe
Content
  • Low rank matrices
  • Separable expansions
  • Hierarchical matrix partitions
  • Hierarchical matrices
  • Formatted matrix operations
  • Applications
  • Additional topics (e.g. H2 matrices, matrix functions, tensor products)
Literature W. Hackbusch: Hierarchische Matrizen: Algorithmen und Analysis
Course L0586: Hierarchical Algorithms
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
Language DE/EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1020: Numerical Methods for Partial Differential Equations

Courses
Title Typ Hrs/wk CP
Numerics of Partial Differential Equations (L1247) Lecture 2 3
Numerics of Partial Differential Equations (L1248) Recitation Section (small) 2 3
Module Responsible Prof. Daniel Ruprecht
Admission Requirements None
Recommended Previous Knowledge
  • Mathematik I - IV (for Engineering Students) or Analysis & Linear Algebra I + II for Technomathematicians
  • Numerical mathematics 1
  • Numerical methods for ordinary differential equations
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students can classify partial differential equations according to the three basic types.
  • They know typical numerical methods like finite differences or finite volumes.
  • Students know the theoretical convergence results and other important properties of these methods.
Skills Students are capable of formulating solution strategies for given partial differential equations, can comment on theoretical properties regarding convergence and are able to implement and test these methods.
Personal Competence
Social Competence

Students are able of working together in heterogeneous teams (i.e., teams from different study programs and background knowledge) and to explain theoretical foundations.

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 mental stamina to work on hard problems for an extended period of time
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula Computer Science: Specialisation III. Mathematics: Elective Compulsory
Technomathematics: Specialisation I. Mathematics: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory
Course L1247: Numerics of Partial Differential Equations
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Daniel Ruprecht
Language DE/EN
Cycle WiSe
Content

Elementary Theory and Numerics of PDEs

  • types of PDEs
  • well posed problems
  • finite differences
  • finite volumes
  • applications
Literature

Dale R. Durran: Numerical Methods for Fluid Dynamics.

Randall J. LeVeque: Numerical Methods for Conservation Laws.

Course L1248: Numerics of Partial Differential Equations
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Daniel Ruprecht
Language DE/EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1909: System Simulation

Courses
Title Typ Hrs/wk CP
System Simulation Modul (L3150) Lecture 2 3
System Simulation Modul (L3151) Recitation Section (large) 2 3
Module Responsible Prof. Arne Speerforck
Admission Requirements None
Recommended Previous Knowledge

Mathematics I-III, Computer Sciense, Engineering Thermodynamics I, II, Fluid Dynamics, Heat Transfer, Control Systems


Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
Skills
Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula Energy Systems: Core Qualification: Compulsory
Aircraft Systems Engineering: Core Qualification: Elective Compulsory
Aeronautics: Core Qualification: Elective Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Renewable Energies: Specialisation Bioenergy Systems: Elective Compulsory
Renewable Energies: Specialisation Solar Energy Systems: Elective Compulsory
Renewable Energies: Specialisation Wind Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Course L3150: System Simulation Modul
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Arne Speerforck, Dr. Johannes Brunnemann
Language DE
Cycle WiSe
Content

Lecture about equation-based, physical modelling using the modelling language Modelica and the free simulation tool OpenModelica 1.17.0.

  • Instruction and modelling of physical processes
  • Modelling and limits of model
  • Time constant, stiffness, stability, step size
  • Terms of object orientated programming
  • Differential equations of simple systems
  • Introduction into Modelica
  • Introduction into simulation tool
  • Example:Hydraulic systems and heat transfer
  • Example: System with different subsystems


Literature

[1]    Modelica Association: "Modelica Language Specification - Version 3.5", Linköping,  Sweden, 2021.

[2]    OpenModelica: OpenModelica 1.17.0, https://www.openmodelica.org (siehe Download), 2021.

[3]    M. Tiller:  “Modelica by Example", https://book.xogeny.com, 2014.

[4]    M. Otter, H. Elmqvist, et al.: "Objektorientierte Modellierung Physikalischer Systeme",  at- Automatisierungstechnik (german), Teil 1 - 17, Oldenbourg Verlag, 1999 - 2000.

[5]    P. Fritzson: "Principles of Object-Oriented Modeling and Simulation with Modelica 3.3", Wiley-IEEE Press, New York, 2015.

[6]    P. Fritzson: “Introduction to Modeling and Simulation of Technical and Physical  Systems with Modelica”, Wiley, New York, 2011.

Course L3151: System Simulation Modul
Typ Recitation Section (large)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Arne Speerforck, Dr. Johannes Brunnemann
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0720: Matrix Algorithms

Courses
Title Typ Hrs/wk CP
Matrix Algorithms (L0984) Lecture 2 3
Matrix Algorithms (L0985) Recitation Section (small) 2 3
Module Responsible Dr. Jens-Peter Zemke
Admission Requirements None
Recommended Previous Knowledge
  • Mathematics I - III
  • Numerical Mathematics 1/ Numerics
  • Basic knowledge of the programming languages Matlab and C
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to

  1. name, state and classify state-of-the-art Krylov subspace  methods for the solution of the core problems of the engineering sciences, namely, eigenvalue problems, solution of linear systems, and model reduction;
  2. state approaches for the solution of matrix equations (Sylvester, Lyapunov, Riccati).
Skills

Students are capable to

  1. implement and assess basic Krylov subspace methods for the solution of eigenvalue problems, linear systems, and model reduction;
  2. assess methods used in modern software with respect to computing time, stability, and domain of applicability;
  3. adapt the approaches learned to new, unknown types of problem.
Personal Competence
Social Competence

Students can

  • develop and document joint solutions in small teams;
  • form groups to further develop the ideas and transfer them to other areas of applicability;
  • form a team to develop, build, and advance a software library.
Autonomy

Students are able to

  • correctly assess the time and effort of self-defined work;
  • assess whether the supporting theoretical and practical excercises are better solved individually or in a team;
  • define test problems for testing and expanding the methods;
  • 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 Oral exam
Examination duration and scale 25 min
Assignment for the Following Curricula Computer Science: Specialisation III. Mathematics: Elective Compulsory
Data Science: Specialisation IV. Special Focus Area: Elective Compulsory
Data Science: Specialisation I. Mathematics: Elective Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Mechatronics: Specialisation System Design: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Technomathematics: Specialisation I. Mathematics: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory
Course L0984: Matrix Algorithms
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr. Jens-Peter Zemke
Language DE/EN
Cycle WiSe
Content
  • Part A: Krylov Subspace Methods:
    • Basics (derivation, basis, Ritz, OR, MR)
    • Arnoldi-based methods (Arnoldi, GMRes)
    • Lanczos-based methods (Lanczos, CG, BiCG, QMR, SymmLQ, PvL)
    • Sonneveld-based methods (IDR, BiCGStab, TFQMR, IDR(s))
  • Part B: Matrix Equations:
    • Sylvester Equation
    • Lyapunov Equation
    • Algebraic Riccati Equation
Literature

Skript (224 Seiten)

Ergänzend können die folgenden Lehrbücher herangezogen werden:

  1. Saad, Yousef. Numerical methods for large eigenvalue problems: revised edition. Society for Industrial and Applied Mathematics, 2011.
  2. Saad, Yousef. Iterative methods for sparse linear systems. Society for Industrial and Applied Mathematics, 2003.
  3. Van der Vorst, Henk A. Iterative Krylov methods for large linear systems. No. 13. Cambridge University Press, 2003.

  4. Liesen, Jörg, and Zdenek Strakos. Krylov subspace methods: principles and analysis. Oxford University Press, 2013.

Course L0985: Matrix Algorithms
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr. Jens-Peter Zemke
Language DE/EN
Cycle WiSe
Content
Literature Siehe korrespondierende Vorlesung

Module M0658: Innovative CFD Approaches

Courses
Title Typ Hrs/wk CP
Application of Innovative CFD Methods in Research and Development (L0239) Lecture 2 3
Application of Innovative CFD Methods in Research and Development (L1685) Recitation Section (small) 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 are expected to be familiar with engineering fluid mechanics. Basic knowledge of numerical analysis or computational fluid dynamics, e.g. acquired in previous CFD courses, is of advantage but not necessary.

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

Students will acquire a deeper knowledge of recent trends in computational fluid dynamics (CFD), i.e. finite volume, smoothed particle hydrodynamics and lattice Boltzmann approaches, and can relate recent innovations with present challenges in computational fluid mechanics. They are familiar with the similarities and differences between different Eulerian and Lagrangian discretisation and approximation concepts for investigating on the basis of continuum and kinetic theories. Students have the required knowledge to develop, explain, code and apply numerical models concepts to approximate multiphase and multifield problems with grid and particle based methods, respectively. Students know the fundamentals of simulation based PDE constraint optimisation.

Skills

The students are able choose and apply appropriate discretisation concepts and flow physics models. They acquire the ability to code computational algorithms dedicated to finite volumes on unstructured grids & particle-based discretisations & structured lattice Boltzmann arrangements, apply these codes for parameter investigations and supplement interfaces to extract simulation data for an engineering analysis. They are able to sophisticatedly judge different solution strategies.

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 in a team. They to lead team sessions and present solutions to experts.

Autonomy

The students can independently analyse innovative 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. Students are able to structure and perform a simulation-based investigation.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes 20 % Written elaboration
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula Energy Systems: Core Qualification: Elective Compulsory
Naval Architecture and Ocean Engineering: Core Qualification: Elective Compulsory
Ship and Offshore Technology: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory
Process Engineering: Specialisation Process Engineering: Elective Compulsory
Course L0239: Application of Innovative CFD Methods in Research and Development
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/EN
Cycle WiSe
Content

Computational Optimisation, Parallel Computing, Efficient CFD-Procedures   for GPU Archtiectures, Alternative Approximations (Lattice-Boltzmann Methods, Particle Methods), Fluid/Structure-Interaction, Modelling of Hybrid Continua

Literature Vorlesungsmaterialien /lecture notes
Course L1685: Application of Innovative CFD Methods in Research and Development
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Thomas Rung
Language DE/EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1327: Modeling of Granular Materials

Courses
Title Typ Hrs/wk CP
Multiscale simulation of granular materials (L1858) Lecture 2 2
Multiscale simulation of granular materials (L1860) Recitation Section (small) 2 2
Thermodynamic and kinetic modeling of the solid state (L1859) Lecture 2 2
Module Responsible Prof. Pavel Gurikov
Admission Requirements None
Recommended Previous Knowledge Fundamentals in Mathematocs, Physics and Mechanics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

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

  • describe modern modeling approaches which can be applied for simulation of granular materials
  • analyze and evaluate possibility to apply numerical simulations on different time and length scales: from description of single particle properties on micro scale up to process simulation on macro scale
  • list modern simulation system and discuss possibility of their application
  • explain fundamentals of main numerical methods which are used for modeling of particulate materials
  • list experimental methods to characterize granular materials
  • explain fundamental thermodynamic and kinetic relations for the processes with solids
  • explain theoretical background and limitations of the discrete models for the processes with solids
Skills

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

  • perform flowsheet simulation of solids processes and analyze steady-state or dynamic process behavior
  • simulate behavior of granular materials on the micro scale with Discrete Element Method (DEM)
  • optimize processes of mechanical process engineering (mixing, separation, crushing, …) with DEM
  • apply multiscale simulations for modeling of particulate materials
  • evaluate results of numerical simulations
  • select and apply appropriate thermodynamic and kinetic models for processes with solids
  • select and apply appropriate discrete models for the processes with solids.
Personal Competence
Social Competence

After completion of this module, participants will be able to debate technical questions in small teams to enhance the ability to take position to their own opinions and increase their capacity for teamwork.

Autonomy

After completion of this module, participants will be able to solve a technical problem independently including a presentation of the results. They are able to work out the knowledge that is necessary to solve the problem by themselves on the basis of the existing knowledge from the lecture.

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 Chemical and Bioprocess Engineering: Specialisation Chemical Process Engineering: Elective Compulsory
Chemical and Bioprocess Engineering: Specialisation General Process Engineering: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory
Course L1858: Multiscale simulation of granular materials
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Pavel Gurikov
Language EN
Cycle WiSe
Content
  • Steady-state flowsheet simulation of solids processes
  • Dynamic flowsheet simulation of solids processes
  • Introduction to Discrete Element Method (DEM)
  • Contact and breakage mechanics of granular materials
  • Extension of DEM
  • Modeling of Gas/Solid streams with coupled DEM and CFD methods
  • Population balance modelling of solids processes
  • Multiscale simulation of particulate materials
Literature B.V. Babu (2004). Process plant simulation, Oxford Univ. Press, New York.

S.J. Antony, W. Hoyle, Y. Ding (Eds.) (2004). Granular materials: Fundamentals and Applications, RSC,  Cambridge.

T. Pöschel (2010). Computational Granular Dynamics: Models and Algorithms, Springer Verl. Berlin.

Other lecture materials to be distributed  

Course L1860: Multiscale simulation of granular materials
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Pavel Gurikov
Language EN
Cycle WiSe
Content
  • Introduction into simulation frameworks: Aspen Plus (Solids), Dyssol, MUSEN
  • Steady-state flowsheet simulation of solids processes (Aspen Plus)
  • Dynamic flowsheet simulation of solids processes (Dyssol)
  • Implementation of new contact laws and calculation of particle interactions (Matlab)
  • Simulation of granular materials with population balance models (Matlab)
  • Simulation of granular materials with discrete element method (MUSEN)
  • Optimization of several processes with discrete element method (MUSEN)
Literature

M. Dosta: Lecture notes.

S. Attaway (2013). Matlab: A Practical Introduction to Programming and Problem Solving, Third Ed.

 Other lecture materials to be distributed  

Course L1859: Thermodynamic and kinetic modeling of the solid state
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Pavel Gurikov
Language EN
Cycle WiSe
Content
  • Thermodynamics of pure solids: melting/crystallization; glassy and amorphous state.
  • Thermodynamics of solid-gas equilibria: adsorption and sublimation.
  • Thermodynamics of solid-liquid equilibria: solubility in aqueous and non-aqueous systems; solid solutions; supercritical fluids as solvents.
  • Kinetics of dissolution/precipitation processes: chemical vapor deposition; drug release; hydrothermal processes.
  • Characterization of solids: contact angle, adsorption techniques, IR spectroscopy, electron microscopy.
  • Discrete models of dissolution/precipitation processes: diffusion limited aggregation; random-like and ballistic-like deposition models
  • Advanced discrete models: surface wettability; adsorption and precipitation of (bio)polymers.
Literature

Prausnitz, J.M., Lichtenthaler, R.N., and Azevedo, E.G. de (1998). Molecular Thermodynamics of Fluid-Phase Equilibria, Pearson Education.

Elliott, S., and Elliott, S.R. (1998). The Physics and Chemistry of Solids, Wiley.

Chopard, B., and Droz, M. (2005). Cellular Automata Modeling of Physical Systems, Cambridge University Press.

Module M0806: Technical Acoustics II (Room Acoustics, Computational Methods)

Courses
Title Typ Hrs/wk CP
Technical Acoustics II (Room Acoustics, Computational Methods) (L0519) Lecture 2 3
Technical Acoustics II (Room Acoustics, Computational Methods) (L0521) Recitation Section (large) 2 3
Module Responsible Prof. Benedikt Kriegesmann
Admission Requirements None
Recommended Previous Knowledge

Technical Acoustics I (Acoustic Waves, Noise Protection, Psycho Acoustics)

Mechanics I (Statics, Mechanics of Materials) and Mechanics II (Hydrostatics, Kinematics, Dynamics)

Mathematics I, II, III (in particular differential equations)

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

The students possess an in-depth knowledge in acoustics regarding room acoustics and computational methods and are able to give an overview of the corresponding theoretical and methodical basis.

Skills

The students are capable to handle engineering problems in acoustics by theory-based application of the demanding computational methods and procedures treated within the module.

Personal Competence
Social Competence

Students can work in small groups on specific problems to arrive at joint solutions.

Autonomy

The students are able to independently solve challenging acoustical problems in the areas treated within the module. Possible conflicting issues and limitations can be identified and the results are critically scrutinized.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Oral exam
Examination duration and scale 20 min
Assignment for the Following Curricula Aircraft Systems Engineering: Core Qualification: Elective Compulsory
Aeronautics: Core Qualification: Elective Compulsory
Mechatronics: Specialisation System Design: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Product Development, Materials and Production: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory
Course L0519: Technical Acoustics II (Room Acoustics, Computational Methods)
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr.-Ing. Sören Keuchel
Language EN
Cycle WiSe
Content

- Room acoustics
- Sound absorber

- Standard computations
- Statistical Energy Approaches
- Finite Element Methods
- Boundary Element Methods
- Geometrical acoustics
- Special formulations

- Practical applications
- Hands-on Sessions: Programming of elements (Matlab)

Literature

Cremer, L.; Heckl, M. (1996): Körperschall. Springer Verlag, Berlin
Veit, I. (1988): Technische Akustik. Vogel-Buchverlag, Würzburg
Veit, I. (1988): Flüssigkeitsschall. Vogel-Buchverlag, Würzburg
Gaul, L.; Fiedler, Ch. (1997): Methode der Randelemente in Statik und Dynamik. Vieweg, Braunschweig, Wiesbaden
Bathe, K.-J. (2000): Finite-Elemente-Methoden. Springer Verlag, Berlin

Course L0521: Technical Acoustics II (Room Acoustics, Computational Methods)
Typ Recitation Section (large)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr.-Ing. Sören Keuchel
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1268: Linear and Nonlinear Waves

Courses
Title Typ Hrs/wk CP
Linear and Nonlinear Waves (L1737) Project-/problem-based Learning 4 6
Module Responsible Prof. Norbert Hoffmann
Admission Requirements None
Recommended Previous Knowledge

Calculus, Algebra, Engineering Mechanics, Vibrations. 

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students are able to reflect existing terms and concepts in Wave Mechanics 
  • Students are able to identify and express the need to develop and research new terms and concepts.
Skills
  • Students are able to apply existing research methods and procedures of wave mechanics.
  • Students are able to develop novel research methods and procedures in wave mechanics.
Personal Competence
Social Competence
  • Students can reach working results also in groups.
  • Students can present and communicate working results also in groups.
Autonomy
  • Students are able to approach given research tasks individually.
  • Studetns are able to identify and follow up novel research tasks by themselves.
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 2 Hours
Assignment for the Following Curricula Mechatronics: Specialisation System Design: Elective Compulsory
Mechatronics: Core Qualification: Elective Compulsory
Naval Architecture and Ocean Engineering: Core Qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory
Course L1737: Linear and Nonlinear Waves
Typ Project-/problem-based Learning
Hrs/wk 4
CP 6
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Lecturer Prof. Norbert Hoffmann
Language DE/EN
Cycle WiSe
Content

Introduction into the Dynamics of Linear and Nonlinear Waves

  • Linear Waves
    • Dispersion
    • Phase and Group Velocity
    • Envelopes
    • Discrete Systems
  • Nonlinear Waves
    • Model Equations
    • Solitons, Breathers, Extreme Waves
  • Water Waves, Ocean Waves
    • Airy and Stokes
    • Natural Sea State
    • Kinetic Modelling
  • Other topics

Literature

F.K. Kneubühl: Oscillations and Waves. Springer.

G.B. Witham, Linear and Nonlinear Waves. Wiley.

C.C. Mei, Theory and Applications of Ocean Surface Waves. World Scientific.

L.H. Holthuijsen, Waves in Oceanic and Coastal Waters. Cambridge.

And others.


Module M1846: Finite element modeling of structures

Courses
Title Typ Hrs/wk CP
Finite element modeling of structures (L3046) Lecture 2 3
Finite element modeling of structures (L3047) Recitation Section (small) 2 3
Module Responsible Prof. Bastian Oesterle
Admission Requirements None
Recommended Previous Knowledge
  • Finite Element Methods
  • Thin-walled structures
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

After successful completion of this module, students can express the basic aspects of modelling of structures with finite elements.

Skills

After successful completion of this module, the students will be able to model structures with finite elements and to analyse structures using appropriate computational methods.

Personal Competence
Social Competence

Students can

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

Students are able to gain knowledge of the subject area from given and other sources and apply it to new problems. Furthermore, they are able to structure the solution process for problems in the area of finite element modelling of structures.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes 20 % Subject theoretical and practical work Bearbeitung einer Finite-Elemente-Modellierungsaufgabe eines (Teil-)Tragwerks mit einer FE-Software inklusive Dokumentation und Interpretation der Ergebnisse
Examination Written exam
Examination duration and scale 60 min
Assignment for the Following Curricula Civil Engineering: Specialisation Coastal Engineering: Elective Compulsory
Civil Engineering: Specialisation Structural Engineering: Elective Compulsory
Civil Engineering: Specialisation Geotechnical Engineering: Elective Compulsory
Civil Engineering: Specialisation Computational Engineering: Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory
Course L3046: Finite element modeling of structures
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Bastian Oesterle
Language EN
Cycle WiSe
Content

Basic phenomena and aspects of the finite element modelling of structures are discussed. Besides theoretical decription of the phenomena and methods, a strong focus is on the practical use a commercial finite element software within computer-based exercises. The covered topics are:

  • finite element modeling of trusses/beams/frames, plates subject to in-plane/out-of-plane loading and shells
  • convergence properties of displacements and stresses
  • singularities
  • locking effects
  • critical assessment, interpretation and check of results
  • mixed-dimensional coupling of finite elements
  • geometrically linear and non-linear, and material linear and non-linear analyses
  • stability: bifurcation and snap-through problems
  • dynamic problems, modal analyses
Literature Vorlesungsmanuskript, Vorlesungsfolien
Course L3047: Finite element modeling of structures
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Bastian Oesterle
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1844: Modern discretization methods in structural mechanics

Courses
Title Typ Hrs/wk CP
Modern discretization methods in structural mechanics (L3043) Lecture 2 3
Modern discretization methods in structural mechanics (L3044) Recitation Section (small) 2 3
Module Responsible Prof. Bastian Oesterle
Admission Requirements None
Recommended Previous Knowledge
  • Finite Element Methods
  • Flächentragwerke
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

After successful completion of this module, students can express the basic aspects of modern discretization methods in structural mechanics.

Skills

After successful completion of this module, the students will be able to use and further improve modern discretization methods for problems in structural mechanics.

Personal Competence
Social Competence

Students can

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

Students are able to gain knowledge of the subject area from given and other sources and apply it to new problems. Furthermore, they are able to structure the solution process for problems in the area of modern discretization methods.

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 Civil Engineering: Specialisation Coastal Engineering: Elective Compulsory
Civil Engineering: Specialisation Geotechnical Engineering: Elective Compulsory
Civil Engineering: Specialisation Structural Engineering: Elective Compulsory
Civil Engineering: Specialisation Computational Engineering: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory
Course L3043: Modern discretization methods in structural mechanics
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Bastian Oesterle
Language EN
Cycle WiSe
Content

The course covers variational formulations, various locking phenomena and alternative formulations for finite elements and modern discretization schemes in the context of structural mechanics, like isogeometric analysis.

  • variational formulation of finite elements, mixed variational principles
  • geometrical and material locking effects in structural and solid mechanics
  • hybrid-mixed and enhanced assumed strain finite element formulations, reduced integration and stabilization, DSG method, u-p formulations
  • patch test, stability, convergence
  • linear and non-linear analyses
  • introduction to isogeometric analysis
  • isogeometric beam, plate and shell formulations
  • locking effects and their avoidance in modern, smooth discretization schemes, like isogeometric analysis
Literature
  • lecture notes and selected scientific papers
  • O.C. Zienkiewicz, R.L. Taylor, and J.Z. Zhu: Finite Element Method: Its Basis and Fundamentals. Elsevier, 2013.
  • J. Austin Cottrell, Thomas J. R Hughes, Yuri Bazilevs: Isogeometric Analysis: Toward Integration of CAD and FEA. Wiley, 2009.



Course L3044: Modern discretization methods in structural mechanics
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Bastian Oesterle
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1182: Technical Elective Course for TMBMS (according to Subject Specific Regulations)

Courses
Title Typ Hrs/wk CP
Module Responsible Prof. Robert Seifried
Admission Requirements None
Recommended Previous Knowledge see FSPO
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge see FSPO
Skills see FSPO
Personal Competence
Social Competence see FSPO
Autonomy see FSPO
Workload in Hours Depends on choice of courses
Credit points 6
Assignment for the Following Curricula Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory

Supplement Modules Core Studies

Allows to obtain missing basics form bachelor studies. For further information, see FSPO.

Module M1805: Computational Mechanics

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

Mathematics I-III and Engineering Mechanics I-III

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

The students can

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

The students can

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

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

Autonomy

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

Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Course achievement
Compulsory Bonus Form Description
No 15 % Midterm Midterm Mehrkörpersysteme
No 5 % Excercises Hausaufgaben
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Naval Architecture: Compulsory
Energy Systems: Technical Complementary Course Core Studies: Elective Compulsory
Mechanical Engineering: Core Qualification: Compulsory
Mechatronics: Core Qualification: Compulsory
Mechatronics: Specialisation Robot- and Machine-Systems: Compulsory
Mechatronics: Specialisation Medical Engineering: Elective Compulsory
Naval Architecture: Core Qualification: Compulsory
Technomathematics: Specialisation III. Engineering Science: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course Core Studies: Elective Compulsory
Course L1138: Computational Mechanics (Exercises)
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Robert Seifried, Prof. Christian Cyron
Language DE
Cycle SoSe
Content
Literature K. Magnus, H.H. Müller-Slany: Grundlagen der Technischen Mechanik. 7. Auflage, Teubner (2009).
D. Gross, W. Hauger, J. Schröder, W. Wall: Technische Mechanik 1-4. 11. Auflage, Springer (2011).
Course L1137: Computational Multibody Dynamics
Typ Integrated Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Robert Seifried
Language DE
Cycle SoSe
Content
  • Modelling of mechanical systems
  • Linear versus nonlinear vibration
  • Numerical methods for time integration
  • Vibrations with multiple degrees of freedom: free, damped, forced, modal  transformation
  • Concepts from analytical mechanics
  • Spatial multibody systems
  • Linearization of multibody systems
  • Introduction to Matlab
Literature

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

W. Schiehlen, P. Eberhard: Technische Dynamik, Springer (2012).


Course L2475: Computational Stuctural Mechanics
Typ Integrated Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Christian Cyron
Language DE
Cycle SoSe
Content

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

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

Module M0854: Mathematics IV

Courses
Title Typ Hrs/wk CP
Differential Equations 2 (Partial Differential Equations) (L1043) Lecture 2 1
Differential Equations 2 (Partial Differential Equations) (L1044) Recitation Section (small) 1 1
Differential Equations 2 (Partial Differential Equations) (L1045) Recitation Section (large) 1 1
Complex Functions (L1038) Lecture 2 1
Complex Functions (L1041) Recitation Section (small) 1 1
Complex Functions (L1042) Recitation Section (large) 1 1
Module Responsible Prof. Marko Lindner
Admission Requirements None
Recommended Previous Knowledge Mathematics I - III
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students can name the basic concepts in Mathematics IV. They are able to explain them using appropriate examples.
  • Students can discuss logical connections between these concepts.  They are capable of illustrating these connections with the help of examples.
  • They know proof strategies and can reproduce them.


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


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


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


Workload in Hours Independent Study Time 68, Study Time in Lecture 112
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 60 min (Complex Functions) + 60 min (Differential Equations 2)
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Naval Architecture: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Elective Compulsory
Electrical Engineering: Core Qualification: Compulsory
General Engineering Science (English program, 7 semester): Specialisation Electrical Engineering: Compulsory
Computer Science in Engineering: Specialisation II. Mathematics & Engineering Science: Elective Compulsory
Mechanical Engineering: Specialisation Mechatronics: Compulsory
Mechanical Engineering: Specialisation Theoretical Mechanical Engineering: Elective Compulsory
Mechatronics: Core Qualification: Compulsory
Naval Architecture: Core Qualification: Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course Core Studies: Elective Compulsory
Course L1043: Differential Equations 2 (Partial Differential Equations)
Typ Lecture
Hrs/wk 2
CP 1
Workload in Hours Independent Study Time 2, Study Time in Lecture 28
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle SoSe
Content

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

  • Examples of partial differential equations
  • First order quasilinear differential equations
  • Normal forms of second order differential equations
  • Harmonic functions and maximum principle
  • Maximum principle for the heat equation
  • Wave equation
  • Liouville's formula
  • Special functions
  • Difference methods
  • Finite elements
Literature
  • http://www.math.uni-hamburg.de/teaching/export/tuhh/index.html


Course L1044: Differential Equations 2 (Partial Differential Equations)
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L1045: Differential Equations 2 (Partial Differential Equations)
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L1038: Complex Functions
Typ Lecture
Hrs/wk 2
CP 1
Workload in Hours Independent Study Time 2, Study Time in Lecture 28
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle SoSe
Content

Main features of complex analysis 

  • Functions of one complex variable
  • Complex differentiation
  • Conformal mappings
  • Complex integration
  • Cauchy's integral theorem
  • Cauchy's integral formula
  • Taylor and Laurent series expansion
  • Singularities and residuals
  • Integral transformations: Fourier and Laplace transformation
Literature
  • http://www.math.uni-hamburg.de/teaching/export/tuhh/index.html


Course L1041: Complex Functions
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L1042: Complex Functions
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dozenten des Fachbereiches Mathematik der UHH
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module 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 NN
Admission Requirements None
Recommended Previous Knowledge

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


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

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

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



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

Module M0662: Numerical Mathematics I

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

Students are able to

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


Skills

Students are able to

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

Students are able to

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

Students are capable

  • to assess whether the supporting theoretical and practical excercises are better solved individually or in a team,
  • to assess their individual progess and, if necessary, to ask questions and seek help.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula General Engineering Science (German program, 7 semester): Specialisation Computer Science: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Elective Compulsory
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory
General Engineering Science (German program, 7 semester): Specialisation 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
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

Thesis

Master Thesis

Module M1801: Master 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 ...

  • ... use the specialised knowledge (facts, theories and methods) from their field of study and the acquired professional knowledge confidently to deal with technical and practical professional issues.
  • ... can explain the relevant approaches and terminologies in depth in one or more of their subject’s specialist areas, describe current developments and take a critical stance. 
  • ... formulate their own research assignment to tackle a professional problem and contextualise it within their subject area. They ascertain the current state of research and critically assess it.
Skills

Dual students ...

  • ... can select suitable methods for the respective subject-related professional problem, apply them and develop them further as required. 
  • ... assess knowledge and methods acquired during their studies (including practical phases) and apply their expertise to complex and/or incompletely defined problems in a solution- and application-oriented manner.
  • ... acquire new academic knowledge in their subject area and critically evaluate it.
Personal Competence
Social Competence

Dual students ...

  • ... can present a professional problem in the form of an academic question in a structured, comprehensible and factually correct manner, both in writing and orally, for a specialist audience and for professional stakeholders. 
  • ... answer questions as part of a professional discussion in an expert, appropriate manner. They represent their own points of view and assessments convincingly.
Autonomy

Dual students ...

  • ... can structure their own project into work packages, work through them at an academic level and reflect on them with regard to feasible courses of action for professional practice.  
  • ... work in-depth in a partially unknown area within the discipline and acquire the information required to do so.
  • ... apply the techniques of academic work comprehensively in their own research work when dealing with an operational problem and question.
Workload in Hours Independent Study Time 900, Study Time in Lecture 0
Credit points 30
Course achievement None
Examination Thesis
Examination duration and scale According to General Regulations
Assignment for the Following Curricula Civil Engineering: Thesis: Compulsory
Bioprocess Engineering: Thesis: Compulsory
Chemical and Bioprocess Engineering: Thesis: Compulsory
Computer Science: Thesis: Compulsory
Data Science: Thesis: Compulsory
Electrical Engineering: Thesis: Compulsory
Energy Systems: Thesis: Compulsory
Environmental Engineering: Thesis: Compulsory
Aircraft Systems Engineering: Thesis: Compulsory
Computer Science in Engineering: Thesis: Compulsory
Information and Communication Systems: Thesis: Compulsory
International Management and Engineering: Thesis: Compulsory
Logistics, Infrastructure and Mobility: Thesis: Compulsory
Aeronautics: Thesis: Compulsory
Materials Science and Engineering: Thesis: Compulsory
Materials Science: Thesis: Compulsory
Mechanical Engineering and Management: Thesis: Compulsory
Mechatronics: Thesis: Compulsory
Biomedical Engineering: Thesis: Compulsory
Microelectronics and Microsystems: Thesis: Compulsory
Product Development, Materials and Production: Thesis: Compulsory
Renewable Energies: Thesis: Compulsory
Naval Architecture and Ocean Engineering: Thesis: Compulsory
Theoretical Mechanical Engineering: Thesis: Compulsory
Process Engineering: Thesis: Compulsory
Water and Environmental Engineering: Thesis: Compulsory