Module Manual
Master
Theoretical Mechanical Engineering
Cohort: Winter Term 2016
Updated: 28th June 2017
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.
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.
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
• 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,
• 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 develop solutions and further methodological skills.
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 (24 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.
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 |
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Skills |
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Personal Competence | |
Social Competence | |
Autonomy |
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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 M0524: Nontechnical Elective Complementary Courses for Master |
Module Responsible | Dagmar Richter |
Admission Requirements | None |
Recommended Previous Knowledge | None |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The Nontechnical Academic Programms (NTA) imparts skills that, in view of the TUHH’s training profile, professional engineering studies require but are not able to cover fully. Self-reliance, self-management, collaboration and professional and personnel management competences. The department implements these training objectives in its teaching architecture, in its teaching and learning arrangements, in teaching areas and by means of teaching offerings in which students can qualify by opting for specific competences and a competence level at the Bachelor’s or Master’s level. The teaching offerings are pooled in two different catalogues for nontechnical complementary courses. The Learning Architecture consists of a cross-disciplinarily study offering. The centrally designed teaching offering ensures that courses in the nontechnical academic programms follow the specific profiling of TUHH degree courses. The learning architecture demands and trains independent educational planning as regards the individual development of competences. It also provides orientation knowledge in the form of “profiles”. The subjects that can be studied in parallel throughout the student’s entire study program - if need be, it can be studied in one to two semesters. In view of the adaptation problems that individuals commonly face in their first semesters after making the transition from school to university and in order to encourage individually planned semesters abroad, there is no obligation to study these subjects in one or two specific semesters during the course of studies. Teaching and Learning Arrangements provide for students, separated into B.Sc. and M.Sc., to learn with and from each other across semesters. The challenge of dealing with interdisciplinarity and a variety of stages of learning in courses are part of the learning architecture and are deliberately encouraged in specific courses. Fields of Teaching are based on research findings from the academic disciplines cultural studies, social studies, arts, historical studies, communication studies, migration studies and sustainability research, and from engineering didactics. In addition, from the winter semester 2014/15 students on all Bachelor’s courses will have the opportunity to learn about business management and start-ups in a goal-oriented way. The fields of teaching are augmented by soft skills offers and a foreign language offer. Here, the focus is on encouraging goal-oriented communication skills, e.g. the skills required by outgoing engineers in international and intercultural situations. The Competence Level of the courses offered in this area is different as regards the basic training objective in the Bachelor’s and Master’s fields. These differences are reflected in the practical examples used, in content topics that refer to different professional application contexts, and in the higher scientific and theoretical level of abstraction in the B.Sc. This is also reflected in the different quality of soft skills, which relate to the different team positions and different group leadership functions of Bachelor’s and Master’s graduates in their future working life. Specialized Competence (Knowledge) Students can
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Skills |
Professional Competence (Skills) In selected sub-areas students can
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Personal Competence | |
Social Competence |
Personal Competences (Social Skills) Students will be able
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Autonomy |
Personal Competences (Self-reliance) Students are able in selected areas
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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) |
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Courses | ||||
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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 | Independent Study Time 180, Study Time in Lecture 0 |
Credit points | 6 |
Examination | according to Subject Specific Regulations |
Examination duration and scale | see FSPO |
Assignment for the Following Curricula |
Theoretical Mechanical Engineering: Core qualification: Elective Compulsory |
Module M0751: Vibration Theory |
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Courses | ||||||||
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Module Responsible | Prof. Norbert Hoffmann |
Admission Requirements |
None |
Recommended Previous Knowledge |
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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. |
Skills | Students are able to denote methods of Vibration Theory and develop them further. |
Personal Competence | |
Social Competence | Students can reach working results also in groups. |
Autonomy | 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 |
Examination | Written exam |
Examination duration and scale | 2 Hours |
Assignment for the Following Curricula |
Energy Systems: Core qualification: Elective Compulsory Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory International Management and Engineering: Specialisation II. Mechatronics: 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: Compulsory Naval Architecture and Ocean Engineering: Core qualification: Elective Compulsory Theoretical Mechanical Engineering: Core qualification: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L0701: Vibration Theory |
Typ | 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 Oscillations and Waves. |
Literature | K. Magnus, K. Popp, W. Sextro: Schwingungen. Physikalische Grundlagen und mathematische Behandlung von Schwingungen. Springer Verlag, 2013. |
Module M0808: Finite Elements Methods |
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Courses | ||||||||||||
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Module Responsible | Prof. Otto von Estorff |
Admission Requirements | none |
Recommended Previous Knowledge |
Mechanics I (Statics, Mechanics of Materials) and Mechanics II (Hydrostatics, Kinematics, Dynamics) |
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 | - |
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 |
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: Specialisation Aircraft Systems: Elective Compulsory Aircraft Systems Engineering: Specialisation Air Transportation Systems: Elective Compulsory Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory International Management and Engineering: Specialisation II. Mechatronics: Elective Compulsory International Management and Engineering: Specialisation II. Product Development and Production: Elective Compulsory Mechatronics: Core qualification: 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 Product Development, Materials and Production: Core qualification: Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory Technomathematics: Core qualification: 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. Otto von Estorff |
Language | EN |
Cycle | WiSe |
Content |
- General overview on modern engineering |
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. Otto von Estorff |
Language | EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0846: Control Systems Theory and Design |
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Courses | ||||||||||||
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Module Responsible | Prof. Herbert Werner |
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 |
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Skills |
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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 |
Examination | Written exam |
Examination duration and scale | 120 min |
Assignment for the Following Curricula |
Computer Science: Specialisation Intelligence Engineering: Elective Compulsory Electrical Engineering: Core qualification: Compulsory Energy Systems: Core qualification: Elective Compulsory Aircraft Systems Engineering: Specialisation Aircraft Systems: Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective 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: 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 | Prof. Herbert Werner |
Language | EN |
Cycle | WiSe |
Content |
State space methods (single-input single-output) • State space models and transfer functions, state feedback Digital Control System identification and model order reduction Case study |
Literature |
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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 | Prof. Herbert Werner |
Language | EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1150: Continuum Mechanics |
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Courses | ||||||||||||
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Module Responsible | Prof. Swantje Bargmann |
Admission Requirements | None |
Recommended Previous Knowledge |
Mechanics I Mechanics II |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students can explain the fundamental concepts to calculate the mechanical behavior of materials. |
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 present solutions to specialists and to develop ideas further. |
Autonomy |
The students are able to assess their own strengths and weaknesses and to define tasks themselves. They can solve exercises in the area of continuum mechanics on their own. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | 30 min |
Assignment for the Following Curricula |
Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory Materials Science: Specialisation Modelling: Elective Compulsory Mechanical Engineering and Management: Specialisation Materials: Elective Compulsory Mechatronics: Technical Complementary Course: 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 Theoretical Mechanical Engineering: Technical Complementary Course: 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. Swantje Bargmann, Dr. Songyun Ma |
Language | DE/EN |
Cycle | WiSe |
Content |
|
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. Swantje Bargmann |
Language | DE/EN |
Cycle | WiSe |
Content |
|
Literature |
R. Greve: Kontinuumsmechanik: Ein Grundkurs für Ingenieure und Physiker I-S. Liu: Continuum Mechanics, Springer |
Module M1204: Modelling and Optimization in Dynamics |
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Courses | ||||||||||||
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Module Responsible | Prof. Robert Seifried | |
Admission Requirements | None | |
Recommended Previous Knowledge |
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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. |
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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 |
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Personal Competence | ||
Social Competence |
Students are able to + solve problems in heterogeneous groups and to document the corresponding results. |
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Autonomy |
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Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 | |
Credit points | 6 | |
Examination | Oral exam | |
Examination duration and scale | 30 min | |
Assignment for the Following Curricula |
Energy Systems: Core qualification: Elective Compulsory Aircraft Systems Engineering: Specialisation Aircraft Systems: Elective Compulsory Mechatronics: Specialisation System Design: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory Product Development, Materials and Production: Core qualification: Elective Compulsory Theoretical Mechanical Engineering: Core qualification: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: 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 |
Language | DE |
Cycle | WiSe |
Content |
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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 |
Language | DE |
Cycle | WiSe |
Content |
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Literature |
Bestle, D.: Analyse und Optimierung von Mehrkörpersystemen. Springer, Berlin, 1994. Nocedal, J. , Wright , S.J. : Numerical Optimization. New York: Springer, 2006. |
Module M0604: High-Order FEM |
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Courses | ||||||||||||
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Module Responsible | Prof. Alexander Düster |
Admission Requirements |
None |
Recommended Previous Knowledge |
Mathematics I, II, III, Mechanics I, II, III, IV Differential Equations 2 (Partial Differential Equations) |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to |
Skills |
Students are able to |
Personal Competence | |
Social Competence |
Students are able to |
Autonomy |
Students are able to |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 120 min |
Assignment for the Following Curricula |
Energy Systems: Core qualification: Elective Compulsory Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory Materials Science: Specialisation Modelling: 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 Theoretical Mechanical Engineering: Core qualification: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: 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 |
Literature |
[1] Alexander Düster, High-Order FEM, Lecture Notes, Technische Universität Hamburg-Harburg, 164 pages, 2014 |
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 M0605: Computational Structural Dynamics |
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Courses | ||||||||||||
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Module Responsible | Prof. Alexander Düster |
Admission Requirements |
None |
Recommended Previous Knowledge |
Mathematics I, II, III, Mechanics I, II, III, IV Differential Equations 2 (Partial Differential Equations) |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to |
Skills |
Students are able to |
Personal Competence | |
Social Competence |
Students are able to |
Autonomy |
Students are able to |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 2h |
Assignment for the Following Curricula |
Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory International Management and Engineering: Specialisation II. Mechatronics: Elective Compulsory Materials Science: Specialisation Modelling: Elective Compulsory Mechatronics: Technical Complementary Course: Elective Compulsory Naval Architecture and Ocean Engineering: Core qualification: Elective Compulsory Theoretical Mechanical Engineering: Core qualification: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: 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 |
Literature |
[1] K.-J. Bathe, Finite-Elemente-Methoden, Springer, 2002. |
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 M0714: Numerical Treatment of Ordinary Differential Equations |
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Courses | ||||||||||||
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Module Responsible | Prof. Blanca Ayuso Dios |
Admission Requirements | None |
Recommended Previous Knowledge |
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Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to
|
Skills |
Students are able to
|
Personal Competence | |
Social Competence |
Students are able to
|
Autonomy |
Students are capable
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 180 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 Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory Electrical Engineering: Specialisation Modeling and Simulation: Elective Compulsory Energy Systems: Core qualification: Elective Compulsory Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: 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 | Dr. Patricio Farrell |
Language | DE/EN |
Cycle | SoSe |
Content |
Numerical methods for Initial Value Problems
Numerical methods for Boundary Value Problems
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Literature |
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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 | Dr. Patricio Farrell |
Language | DE/EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0752: Nonlinear Dynamics |
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Courses | ||||||||
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Module Responsible | Prof. Norbert Hoffmann |
Admission Requirements | None |
Recommended Previous Knowledge |
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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. |
Skills | Students are able to apply existing methods and procesures of Nonlinear Dynamics and to develop novel methods and procedures. |
Personal Competence | |
Social Competence | Students can reach working results also in groups. |
Autonomy | Students are able to approach given research tasks individually and 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 |
Examination | Written exam |
Examination duration and scale | 2 Hours |
Assignment for the Following Curricula |
Aircraft Systems Engineering: Specialisation Aircraft Systems: Elective Compulsory Computational Science and Engineering: Specialisation Scientific Computing: 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: Specialisation Intelligent Systems and Robotics: 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 Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L0702: Nonlinear Dynamics |
Typ | 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. |
Literature | S. Strogatz: Nonlinear Dynamics and Chaos. Perseus, 2013. |
Module M0807: Boundary Element Methods |
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Courses | ||||||||||||
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Module Responsible | Prof. Otto von Estorff |
Admission Requirements | none |
Recommended Previous Knowledge |
Mechanics I (Statics, Mechanics of Materials) and Mechanics II (Hydrostatics, Kinematics, Dynamics) |
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 boundary 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 boundary elements, assembling the corresponding system matrices, and solving the resulting system of equations. |
Personal Competence | |
Social Competence | - |
Autonomy |
The students are able to independently solve challenging computational problems and develop own boundary 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 |
Examination | Written exam |
Examination duration and scale | 90 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 Energy Systems: Core qualification: Elective Compulsory Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory Mechanical Engineering and Management: Specialisation Product Development and Production: Elective Compulsory Mechatronics: Specialisation System Design: Elective Compulsory Product Development, Materials and Production: Core qualification: Elective Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory Technomathematics: Core qualification: Elective Compulsory Theoretical Mechanical Engineering: Core qualification: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L0523: Boundary Element Methods |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Otto von Estorff |
Language | EN |
Cycle | SoSe |
Content |
- Boundary value problems - Hands-on Sessions (programming of BE routines) |
Literature |
Gaul, L.; Fiedler, Ch. (1997): Methode der Randelemente in Statik und Dynamik. Vieweg, Braunschweig, Wiesbaden |
Course L0524: Boundary 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. Otto von Estorff |
Language | EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0835: Humanoid Robotics |
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Courses | ||||||||
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Module Responsible | Prof. Herbert Werner |
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 32, Study Time in Lecture 28 |
Credit points | 2 |
Examination | Presentation |
Examination duration and scale | 30 min |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory Mechatronics: Specialisation System Design: 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: Core qualification: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: 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 | Prof. Herbert Werner |
Language | DE |
Cycle | SoSe |
Content |
|
Literature |
- B. Siciliano, O. Khatib. "Handbook of Robotics. Part A: Robotics Foundations", Springer (2008). |
Module M0840: Optimal and Robust Control |
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Courses | ||||||||||||
|
Module Responsible | Prof. Herbert Werner |
Admission Requirements |
Control Systems Theory and Design |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
|
Skills |
|
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 |
Examination | Oral exam |
Examination duration and scale | 30 min |
Assignment for the Following Curricula |
Computer Science: Specialisation Intelligence Engineering: Elective Compulsory Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory Energy Systems: Core qualification: Elective Compulsory Aircraft Systems Engineering: Specialisation Aircraft Systems: Elective Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory Mechatronics: Specialisation System Design: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: 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 Theoretical Mechanical Engineering: Technical Complementary Course: 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 | Prof. Herbert Werner |
Language | EN |
Cycle | SoSe |
Content |
|
Literature |
|
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 | Prof. Herbert Werner |
Language | EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0906: Molecular Modeling and Computational Fluid Dynamics |
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Courses | ||||||||||||||||
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Module Responsible | Prof. Michael Schlüter |
Admission Requirements | None |
Recommended Previous Knowledge |
|
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
|
Skills |
The students are able to:
|
Personal Competence | |
Social Competence |
The students are able to
|
Autonomy |
The students are able to:
|
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | 1h examen in teams |
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 Energy and Environmental Engineering: Specialisation Energy and Environmental Engineering: Elective Compulsory Theoretical Mechanical Engineering: Core qualification: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory Process Engineering: Specialisation Chemical Process Engineering: Elective Compulsory Process Engineering: Specialisation Process Engineering: Elective Compulsory |
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 |
|
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 |
|
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
|
Course L0099: Statistical Thermodynamics and Molecular Modelling |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Dr. Sven Jakobtorweihen |
Language | EN |
Cycle | SoSe |
Content |
|
Literature |
Daan Frenkel, Berend Smit: Understanding Molecular Simulation, Academic Press M. P. Allen, D. J. Tildesley: Computer Simulations of Liquids, Oxford Univ. Press A.R. Leach: Molecular Modelling - Principles and Applications, Prentice Hall, N.Y. D. A. McQuarrie: Statistical Mechanics, University Science Books T. L. Hill: Statistical Mechanics , Dover Publications |
Module M1203: Applied Dynamics: Numerical and experimental methods |
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Courses | ||||||||||||
|
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 110, Study Time in Lecture 70 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 90 min |
Assignment for the Following Curricula |
Theoretical Mechanical Engineering: Core qualification: Compulsory |
Course L1631: Lab Applied Dynamics |
Typ | Laboratory |
Hrs/wk | 3 |
CP | 3 |
Workload in Hours | Independent Study Time 48, Study Time in Lecture 42 |
Lecturer | Prof. Robert Seifried, 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 | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Robert Seifried |
Language | DE |
Cycle | SoSe |
Content |
|
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. |
Module M1281: Advanced Topics in Vibration |
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Courses | ||||||||
|
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 and to develop and research new terms and concepts. |
Skills | Students are able to apply existing methods and procesures of Advanced Vibrations and to develop novel methods and procedures. |
Personal Competence | |
Social Competence | Students can reach working results also in groups. |
Autonomy | Students are able to approach given research tasks individually and 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 |
Examination | Written exam |
Examination duration and scale | 2 Hours |
Assignment for the Following Curricula |
Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory Mechatronics: Specialisation System Design: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory Theoretical Mechanical Engineering: Core qualification: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L1743: Advanced Topics in Vibration |
Typ | Problem-based Learning |
Hrs/wk | 4 |
CP | 6 |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Lecturer | Prof. Norbert Hoffmann, Merten Tiedemann, Sebastian Kruse |
Language | DE/EN |
Cycle | SoSe |
Content | Research Topics in Vibrations. |
Literature |
Aktuelle Veröffentlichungen |
Module M0838: Linear and Nonlinear System Identifikation |
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Courses | ||||||||
|
Module Responsible | Prof. Herbert Werner |
Admission Requirements | Control Systems Theory and Design |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
|
Skills |
|
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 |
Examination | Oral exam |
Examination duration and scale | 30 min |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory Mechatronics: Specialisation System Design: 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 Theoretical Mechanical Engineering: Technical Complementary Course: 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 |
|
Literature |
|
Module M1229: Control Lab B |
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Courses | ||||||||||||
|
Module Responsible | Prof. Herbert Werner |
Admission Requirements |
|
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 32, Study Time in Lecture 28 |
Credit points | 2 |
Examination | Colloquium |
Examination duration and scale | |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory Mechatronics: Specialisation System Design: Elective Compulsory Theoretical Mechanical Engineering: Core qualification: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L1667: Control Lab V |
Typ | Laboratory Course |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Herbert Werner, Antonio Mendez Gonzalez |
Language | EN |
Cycle |
WiSe/ |
Content | One of the offered experiments in control theory. |
Literature |
Experiment Guides |
Course L1668: Control Lab VI |
Typ | Laboratory Course |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Herbert Werner, Antonio Mendez Gonzalez |
Language | EN |
Cycle |
WiSe/ |
Content | One of the offered experiments in control theory. |
Literature |
Experiment Guides |
Module M0603: Nonlinear Structural Analysis |
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Courses | ||||||||||||
|
Module Responsible | Prof. Alexander Düster |
Admission Requirements |
None |
Recommended Previous Knowledge |
Mathematics I, II, III, Mechanics I, II, III, IV Differential Equations 2 (Partial Differential Equations) |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to |
Skills |
Students are able to |
Personal Competence | |
Social Competence |
Students are able to |
Autonomy |
Students are able to |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 120 min |
Assignment for the Following Curricula |
Civil Engineering: Specialisation Structural Engineering: Elective Compulsory International Management and Engineering: Specialisation II. Civil Engineering: Elective Compulsory Materials Science: Specialisation Modeling: Elective Compulsory Mechatronics: Specialisation System Design: 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: Core qualification: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: 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 |
Literature |
[1] Alexander Düster, Nonlinear Structrual Analysis, Lecture Notes, Technische Universität Hamburg-Harburg, 2014. |
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 M0832: Advanced Topics in Control |
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Courses | ||||||||||||
|
Module Responsible | Prof. Herbert Werner |
Admission Requirements | Optimal and Robust Control |
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 |
|
Skills |
|
Personal Competence | |
Social Competence | Students can work in small groups and arrive at joint results. |
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 |
Examination | Oral exam |
Examination duration and scale | 30 min |
Assignment for the Following Curricula |
Computer Science: Specialisation Intelligence Engineering: Elective Compulsory Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory Aircraft Systems Engineering: Specialisation Aircraft Systems: Elective Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory International Management and Engineering: Specialisation II. Mechatronics: Elective Compulsory Mechatronics: Specialisation System Design: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory Theoretical Mechanical Engineering: Core qualification: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: 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 | Prof. Herbert Werner |
Language | EN |
Cycle | WiSe |
Content |
|
Literature |
|
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 | Prof. Herbert Werner |
Language | EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1181: Research Project Theoretical Mechanical Engineering |
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Courses | ||||
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Module Responsible | Dozenten des SD M |
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 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 |
Examination | Project (accord. to Subject Specific Regulations) |
Examination duration and scale | |
Assignment for the Following Curricula |
Theoretical Mechanical Engineering: Core qualification: Compulsory |
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 M1040: BIO II: Endoprostheses and Materials |
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Courses | ||||||||||||
|
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 being used in medical engineering, and their fields of use. The students can name the diseases which can require the use of replacement joints. The students can name the different kinds of artificial limbs |
Skills | The students can explain the advantages and disadvantages of different kinds of biomaterials and endoprotheses. |
Personal Competence | |
Social Competence |
The student is able to discuss issues related to endoprothese and their materials with student mates and the teachers. |
Autonomy |
The student is able to acquire information on his own. He can also judge the information with respect to its credebility. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 90 minutes, questions and drawing of pictures |
Assignment for the Following Curricula |
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 Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: 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 |
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. |
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 |
Inhalt (deutsch) 1. EINLEITUNG (Bedeutung, Ziel, Grundlagen, allg. Geschichte des künstlichen Gelenker-satzes) 2. FUNKTIONSANALYSE (Der menschliche Gang, die menschliche Arbeit, die sportliche Aktivität) 3. DAS HÜFTGELENK (Anatomie, Biomechanik, Gelenkersatz Schaftseite und Pfannenseite, Evolution der Implantate) 4. DAS KNIEGELENK (Anatomie, Biomechanik, Bandersatz, Gelenkersatz femorale, tibiale und patelläre Komponenten) 5. DER FUß (Anatomie, Biomechanik, Gelen-kersatz, orthopädische Verfahren) 6. DIE SCHULTER (Anatomie, Biomechanik, Gelenkersatz) 7. DER ELLBOGEN (Anatomie, Biomechanik, Gelenkersatz) 8. DIE HAND (Anatomie, Biomechanik, Ge-lenkersatz) 9. TRIBOLOGIE NATÜRLICHER UND KÜNST-LICHER GELENKE (Korrosion, Reibung, Verschleiß) |
Literature |
Literatur: 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 M0811: Medical Imaging Systems |
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Courses | ||||||||
|
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 and explain the main clinical uses of the different systems. |
Skills |
Students are able to:
Select a suitable imaging system for an application. |
Personal Competence | |
Social Competence | none |
Autonomy |
Students can:
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | |
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 Theoretical Mechanical Engineering: Technical Complementary Course: 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. Tim Nielsen, 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) |
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Courses | ||||
|
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 | Independent Study Time 180, Study Time in Lecture 0 |
Credit points | 6 |
Examination | according to Subject Specific Regulations |
Examination duration and scale | |
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 Numerics and Computer Science: Elective Compulsory |
Module M1302: Applied Humanoid Robotics |
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Courses | ||||||||
|
Module Responsible | Prof. Herbert Werner |
Admission Requirements | None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
|
Skills |
|
Personal Competence | |
Social Competence |
|
Autonomy |
|
Workload in Hours | Independent Study Time 96, Study Time in Lecture 84 |
Credit points | 6 |
Examination | Colloquium |
Examination duration and scale | |
Assignment for the Following Curricula |
Computer Science: Specialisation Intelligence Engineering: Elective Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L1794: Humanoid Robotics |
Typ | Problem-based Learning |
Hrs/wk | 6 |
CP | 6 |
Workload in Hours | Independent Study Time 96, Study Time in Lecture 84 |
Lecturer | Prof. Herbert Werner |
Language | DE/EN |
Cycle | SoSe |
Content |
|
Literature |
|
Module M0630: Robotics and Navigation in Medicine |
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Courses | ||||||||||||||||
|
Module Responsible | Prof. Alexander Schlaefer |
Admission Requirements |
None |
Recommended Previous Knowledge |
|
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 details. 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 discuss the results of other groups, provide helpful feedback and can incoorporate feedback into their work. |
Autonomy |
The students can reflect their knowledge and document the results of their work. They can present the results in an appropriate manner. |
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 90 minutes |
Assignment for the Following Curricula |
Computer Science: Specialisation Intelligence Engineering: Elective Compulsory Electrical Engineering: Specialisation Medical Technology: Elective Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory International Management and Engineering: Specialisation II. Electrical Engineering: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: 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: Technical Complementary Course: 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 |
Literature |
Spong et al.: Robot Modeling and Control, 2005 |
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 M0623: Intelligent Systems in Medicine |
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Courses | ||||||||||||||||
|
Module Responsible | Prof. Alexander Schlaefer |
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 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 discuss the results of other groups, provide helpful feedback and can incoorporate feedback into their work. |
Autonomy |
The students can reflect their knowledge and document the results of their work. They can present the results in an appropriate manner. |
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 90 minutes |
Assignment for the Following Curricula |
Computer Science: Specialisation Intelligence Engineering: Elective Compulsory Electrical Engineering: Specialisation Medical Technology: Elective Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: 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 Bio- and Medical Technology: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: 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 |
Literature |
Russel & Norvig: Artificial Intelligence: a Modern Approach, 2012 |
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 |
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 M1037: Nuclear Power Plants and Steam Turbines |
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Courses | ||||||||||||||||||||
|
Module Responsible | Prof. Alfons Kather |
Admission Requirements |
None |
Recommended Previous Knowledge |
For the part "Steam Turbines":
For the part "Basics of Nuclear Power Plants" knowledge of:
is required |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
After successful completion of the part "Steam Turbines" of the module the students must be in a position to:
In the part of the module "Basics of Nuclear Power Plants" the students gain an overview of the safety requirements for the design, construction and operation of nuclear power plants. Students of various study programmes, who wish to specialize in the filed of nuclear power engineering in future, are introduced to the special requirements of the nuclear power technology, which are important for the perception of this field. After successful completion of this part of the module the students acquire the following skills:
|
Skills |
In the part of the module "Steam Turbines" the students learn the fundamental approaches and methods for the design and operational evaluation von komplex plant and gain confidence in seeking optimisations. In the part of the module "Basics of Nuclear Power Plants" the students:
|
Personal Competence | |
Social Competence |
In the part of the module "Steam Turbines" the students learn:
In the part of the module "Basics of Nuclear Power Plants" the students learn to:
|
Autonomy |
In the part of the module "Steam Turbines" the students learn the independent working of a complex thema whilst considering various aspects. They also learn how to carry independently single functions in a system combination. In the part of the module "Basics of Nuclear Power Plants" the students become the ability to gain independently knowledge and transfer it also to new problem solving. |
Workload in Hours | Independent Study Time 96, Study Time in Lecture 84 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 180 min |
Assignment for the Following Curricula |
Energy and Environmental Engineering: Specialisation Energy and Environmental Engineering: Elective Compulsory International Management and Engineering: Specialisation II. Energy and Environmental Engineering: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L1286: Steam Turbines in Renewable and Conventional Applications |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Dr. Christian Scharfetter |
Language | DE |
Cycle | WiSe |
Content |
|
Literature |
|
Course L1287: Steam Turbines in Renewable and Conνentional Applications |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Dr. Christian Scharfetter |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L1283: Basics of Nuclear Power Plants |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Dr. Uwe Kleen |
Language | DE |
Cycle | WiSe |
Content |
The lecture is supplemented by solving example exercises and is accompanied by an excursion. |
Literature |
|
Course L1285: Basics of Nuclear Power Plants |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Dr. Uwe Kleen |
Language | DE |
Cycle | WiSe |
Content |
The lecture is supplemented by solving example exercises and is accompanied by an excursion. |
Literature |
|
Module M0742: Thermal Engineering |
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Courses | ||||||||||||
|
Module Responsible | Prof. Gerhard Schmitz |
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 |
The students are able to discuss in small groups and develop an approach. |
Autonomy |
Students are able to define independently tasks, to get new knowledge from existing knowledge as well as to find ways to use the knowledge in practice. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 60 min |
Assignment for the Following Curricula |
Bioprocess Engineering: Specialisation A - General Bioprocess Engineering: Elective Compulsory Energy and Environmental Engineering: Specialisation Energy 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 Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory Process Engineering: Specialisation Process Engineering: Elective Compulsory |
Course L0023: Thermal Engineering |
Typ | Lecture |
Hrs/wk | 3 |
CP | 5 |
Workload in Hours | Independent Study Time 108, Study Time in Lecture 42 |
Lecturer | Prof. Gerhard Schmitz |
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 |
|
Course L0024: Thermal Engineering |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Gerhard Schmitz |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0512: Use of Solar Energy |
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Courses | ||||||||||||||||||||
|
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 |
|
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 |
Examination | Written exam |
Examination duration and scale | 3 hours written exam |
Assignment for the Following Curricula |
Energy and Environmental Engineering: Specialisation Energy and Environmental Engineering: 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 Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory Process Engineering: Specialisation Environmental Process Engineering: Elective Compulsory |
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 |
|
Literature |
|
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 | Dietmar Obst, Martin Schlecht |
Language | DE |
Cycle | SoSe |
Content |
|
Literature |
|
Course L0016: Radiation and Optic |
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 |
|
Literature |
|
Course L0017: Radiation and Optic |
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 |
Applications of stages of calculation within the radiation gauge. Within the exercise the various tasks are actively discussed and applied to various cases of application. |
Literature | siehe Vorlesungsscript |
Module M1182: Technical Elective Course for TMBMS (according to Subject Specific Regulations) |
||||
Courses | ||||
|
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 | Independent Study Time 180, Study Time in Lecture 0 |
Credit points | 6 |
Examination | according to Subject Specific Regulations |
Examination duration and scale | |
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 Numerics and Computer Science: Elective Compulsory |
Module M0721: Air Conditioning |
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Courses | ||||||||||||
|
Module Responsible | Prof. Gerhard Schmitz |
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 |
The students are able to discuss in small groups and develop an approach.
|
Autonomy |
Students are able to define independently tasks, to get new knowledge from existing knowledge as well as to find ways to use the knowledge in practice. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 60 min |
Assignment for the Following Curricula |
Energy and Environmental Engineering: Specialisation Energy and Environmental Engineering: Elective Compulsory Energy Systems: Specialisation Energy Systems: Elective Compulsory Energy Systems: Specialisation Marine Engineering: Elective Compulsory Aircraft Systems Engineering: Specialisation Aircraft Systems: Elective Compulsory Aircraft Systems Engineering: Specialisation Cabin Systems: 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 Theoretical Mechanical Engineering: Technical Complementary Course: 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. 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 |
|
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. Gerhard Schmitz |
Language | DE |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1000: Combined Heat and Power and Combustion Technology |
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Courses | ||||||||||||
|
Module Responsible | Prof. Alfons Kather |
Admission Requirements |
None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students outline the thermodynamic and chemical fundamentals of combustion processes. From the knowledge of the characteristics and reaction kinetics of various fuels they can describe the behaviour of premixed flames and non-premixed flames, in order to describe the fundamentals of furnace design in gas-, oil- and coal combustion plant. The students are furthermore able to describe the formation of NOx and the primary NOx reduction measures, and evaluate the impact of regulations and allowable limit levels. The students present the layout, design and operation of Combined Heat and Power plants and are in a position to compare with each other district heating plants with back-pressure steam turbine or condensing turbine with pressure-controlled extraction tapping, CHP plants with gas turbine or with combined steam and gas turbine, or even district heating plants with an internal combustion engine. They can explain and analyse aspects of combined heat, power and cooling (CCHP) and describe the layout of the key components needed. Through this specialised knowledge they are able to evaluate the ecological significance of district CHP generation, as well as its economics. |
Skills |
Using thermodynamic calculations and considering the reaction kinetics the students will be able to determine interdisciplinary correlations between thermodynamic and chemical processes during combustion. This then enables quantitative analysis of the combustion of gaseous, liquid and solid fuels and determination of the quantities and concentrations of the exhaust gases. In this module the first step toward the utilisation of an energy source (combustion) to provide usable energy (electricity and heat) is taught. An understanding of both procedures enables the students to holistically consider energy utilisation. Examples taken from the praxis, such as the CHP energy supply facility of the TUHH and the district heating network of Hamburg will be used, to highlight the potential from electricity generation plants with simultaneous heat extraction. Within the framework of the exercises the students will first learn to calculate the energetic and mass balances of combustion processes. Moreover, the students will gain a deeper understanding of the combustion processes by the calculation of reaction kinetics and fundamentals of burner design. In order to perform further analyses they will familiarise themselves to the specialised software suite EBSILON ProfessionalTM. With this tool small and close to reality tasks are solved on the PC, to highlight aspects of the design and balancing of heating plant cycles. In addition CHP will also be considered in its economic and social contexts. |
Personal Competence | |
Social Competence |
Especially during the exercises the focus is placed on communication with the tutor. This animates the students to reflect on their existing knowledge and ask specific questions for improving further this knowledge level. |
Autonomy |
The students assisted by the tutors will be able to perform estimating calculations. In this manner the theoretical and practical knowledge from the lecture is consolidated and the potential effects from different process arrangements and boundary conditions are highlighted. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 120 min |
Assignment for the Following Curricula |
Energy and Environmental Engineering: Specialisation Energy 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 Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L0216: Combined Heat and Power and Combustion Technology |
Typ | Lecture |
Hrs/wk | 3 |
CP | 5 |
Workload in Hours | Independent Study Time 108, Study Time in Lecture 42 |
Lecturer | Prof. Alfons Kather |
Language | DE |
Cycle | SoSe |
Content |
In the subject area of "Combined Heat and Power" covers the following themes:
whereas the subject of Combustion Technology includes:
|
Literature |
Bezüglich des Themenbereichs "Kraft-Wärme-Kopplung":
und für die Grundlagen der "Verbrennungstechnik":
|
Course L0220: Combined Heat and Power and Combustion Technology |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Alfons Kather |
Language | DE |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0508: Fluid Mechanics and Ocean Energy |
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Courses | ||||||||||||
|
Module Responsible | Prof. Michael Schlüter |
Admission Requirements | none |
Recommended Previous Knowledge |
Technische Thermodynamik I-II |
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 |
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 Theoretical Mechanical Engineering: Technical Complementary Course: 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 |
|
Literature |
|
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 |
|
Literature |
|
Module M0658: Innovative CFD Approaches |
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Courses | ||||||||||||
|
Module Responsible | Prof. Thomas Rung |
Admission Requirements |
None |
Recommended Previous Knowledge |
Attendance of a computational fluid dynamics course (CFD1/CFD2) Competent knowledge of numerical analysis in addition to general and computational thermo/fluid dynamics |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Student can explain the theoretical background of different CFD strategies (e.g. Lattice-Boltzmann, Smoothed Particle-Hydrodynamics, Finite-Volume methods) and describe the fundamentals of simulation-based optimisation. |
Skills | Student is able to identify an appropriate CFD-based solution strategy on a jusitfied basis. |
Personal Competence | |
Social Competence | Student should practice her/his team-working abilities, learn to lead team sessions and present solutions to experts. |
Autonomy | Student should be able to structure and perform a simulation-based project independently, |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Project |
Examination duration and scale | project thesis (lecture accompanying, approx. 25 pages) with thesis defence (approx. 45 minutes) |
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: Technical Complementary Course: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Energy Systems: 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 M1149: Marine Power Engineering |
||||||||||||||||||||
Courses | ||||||||||||||||||||
|
Module Responsible | Prof. Christopher Friedrich Wirz |
Admission Requirements | |
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 |
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 Theoretical Mechanical Engineering: Technical Complementary Course: 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 |
|
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 |
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 M0763: Aircraft Systems I |
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Courses | ||||||||||||
|
Module Responsible | Prof. Frank Thielecke |
Admission Requirements |
None |
Recommended Previous Knowledge |
Basic knowledge in:
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to:
|
Skills |
Students are able to:
|
Personal Competence | |
Social Competence |
Students are able to:
|
Autonomy |
Students are able to:
|
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Credit points | 6 |
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 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 Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L0735: Aircraft Systems I |
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 |
|
Literature |
|
Course L0739: Aircraft Systems I |
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 M0812: Aircraft Design |
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Courses | ||||||||||||||||||||
|
Module Responsible | Prof. Volker Gollnick |
Admission Requirements | None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
|
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 96, Study Time in Lecture 84 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 120 min |
Assignment for the Following Curricula |
Aircraft Systems Engineering: Core qualification: Compulsory International Management and Engineering: Specialisation II. Aviation Systems: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L0820: Aircraft Design I |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Volker Gollnick |
Language | DE |
Cycle | WiSe |
Content |
Introduction into the aircraft design process
|
Literature |
J. Roskam: "Airplane Design" D.P. Raymer: "Aircraft Design - A Conceptual Approach" J.P. Fielding: "Intorduction to Aircraft Design" Jenkinson, Simpkon, Rhods: "Civil Jet Aircraft Design" |
Course L0834: Aircraft Design I |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Volker Gollnick |
Language | DE |
Cycle | WiSe |
Content |
Training in applying MatLab Application of design methods for civil aircraft concerning: Fuselage and Cabin sizing and design Calculation of aircraft masses Aerodynamic and geometric wing design TakeOff, landing cruise performance calculation Manoevre and gust load calculation |
Literature |
J. Roskam: "Airplane Design" D.P. Raymer: "Aircraft Design - A Conceptual Approach" J.P. Fielding: "Intorduction to Aircraft Design" Jenkinson, Simpkon, Rhods: "Civil Jet Aircraft Design" |
Course L0844: Aircraft Design II (Detailled Design Methods for Aeroynamics and Aircraft Structures, Multidisciplinary Design) |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Volker Gollnick, Björn Nagel |
Language | DE/EN |
Cycle | SoSe |
Content | Physical modelling in aircraft design Introduction - Numerical design process Parameterization and data formats Numerical beam models and lifting line Data base driven engine design Coupling (interpolation, time incremental process Aeroelastic effects Optimization methods in aircraft design Light weight design aspects in aircraft design Limits of simple design methodes Numerical wing design |
Literature | Horst Kossira: "Grundlagen des Leichtbaus. Einführung in die Theorie dünnwandiger stabförmiger Tragwerke" Johannes Wiedemann: "Leichtbau - Elemente und Konstruktion" |
Course L0847: Aircraft Design II (Detailled Design Methods for Aeroynamics and Aircraft Structures, Multidisciplinary Design) |
Typ | Project Seminar |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Volker Gollnick, Björn Nagel |
Language | DE/EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1043: Aircraft Systems Engineering |
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Courses | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Module Responsible | Prof. Frank Thielecke |
Admission Requirements |
None |
Recommended Previous Knowledge |
Basic knowledge in:
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
|
Skills |
Students are able to apply basic methods in selected areas of engineering. |
Personal Competence | |
Social Competence | |
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: Specialisation Aircraft Systems: Elective Compulsory Aircraft Systems Engineering: Specialisation Cabin Systems: Elective Compulsory Aircraft Systems Engineering: Specialisation Air Transportation Systems: Elective Compulsory International Management and Engineering: Specialisation II. Aviation Systems: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L1814: Design Optimization and Probabilistic Approaches in Structural Analysis |
Typ | Seminar |
Hrs/wk | 3 |
CP | 3 |
Workload in Hours | Independent Study Time 48, Study Time in Lecture 42 |
Examination Form | Hausarbeit |
Examination duration and scale | ca. 10 Seiten und Diskussion |
Lecturer | Prof. Benedikt Kriegesmann |
Language | DE |
Cycle | SoSe |
Content | |
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 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 L1514: Lightweight Construction with Fibre Reinforced Rolymers - Structural Mechanics |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Examination Form | Mündliche Prüfung |
Examination duration and scale | 30 min |
Lecturer | Dr. Marco Schürg |
Language | DE |
Cycle | WiSe |
Content |
Fundamentals of Anisotropic Elasticity Displacements, strains and stresses; Equilibrium equations; Kinematics; Hooke’s generalized law Behaviour of a single laminate layer Material law of a single laminate layer; Full anisotropy and coupling effects; Material symmetries; Engineering constants; Plane state of stress; Transformation rules Fundamentals of Micromechanics of a laminate layer Representative unit cell; Determination of effective material constants; Effective stiffness properties of a single layer Classical Laminate Plate Theory Notations and laminate code; Kinematics and displacement field; Strains and stresses, stress resultants; Constitutive equations and coupling effects; Special laminates and their behavior; Effective laminate properties Strength of Laminated Plates Fundamental concept; Phenomenological failure criteria: maximum stresses, maximum strains, Tsai-Hill, Tsai-Wu, Puck, Hashin Bending of Composite Laminated Plates Differential Equations; Boundary Conditions; Navier-type solutions; Lévy-type solutions Stress Concentration Problems Free-edge effects; Stress concentrations at holes, cracks, delaminations; Aspects of failure analysis Stability of Thin-Walled Composite Structures Buckling of anisotropic plates and shells; Influence of loading conditions; Influence of boundary conditions; Exact transcendental solutions and their evaluation; Buckling of stiffened composite plates; Minimum stiffness requirements; Local buckling of stiffener profiles Written exercise (report required) Assessment of a thin-walled composite laminated beam taking several different dimensioning criteria into account |
Literature |
|
Course L1515: Lightweight Construction with Fibre Reinforced Rolymers - Structural Mechanics |
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 | Dr. Marco Schürg |
Language | DE |
Cycle | WiSe |
Content |
Fundamentals of Anisotropic Elasticity Displacements, strains and stresses; Equilibrium equations; Kinematics; Hooke’s generalized law Behaviour of a single laminate layer Material law of a single laminate layer; Full anisotropy and coupling effects; Material symmetries; Engineering constants; Plane state of stress; Transformation rules Fundamentals of Micromechanics of a laminate layer Representative unit cell; Determination of effective material constants; Effective stiffness properties of a single layer Classical Laminate Plate Theory Notations and laminate code; Kinematics and displacement field; Strains and stresses, stress resultants; Constitutive equations and coupling effects; Special laminates and their behavior; Effective laminate properties Strength of Laminated Plates Fundamental concept; Phenomenological failure criteria: maximum stresses, maximum strains, Tsai-Hill, Tsai-Wu, Puck, Hashin Bending of Composite Laminated Plates Differential Equations; Boundary Conditions; Navier-type solutions; Lévy-type solutions Stress Concentration Problems Free-edge effects; Stress concentrations at holes, cracks, delaminations; Aspects of failure analysis Stability of Thin-Walled Composite Structures Buckling of anisotropic plates and shells; Influence of loading conditions; Influence of boundary conditions; Exact transcendental solutions and their evaluation; Buckling of stiffened composite plates; Minimum stiffness requirements; Local buckling of stiffener profiles Written exercise (report required) Assessment of a thin-walled composite laminated beam taking several different dimensioning criteria into account |
Literature |
|
Course L1258: Lightweight Design Practical Course |
Typ | 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
|
Literature |
|
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: |
Literature |
- Skript zur Vorlesung |
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: |
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 L0950: Mechanisms, Systems and Processes of Materials Testing |
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
|
Literature |
|
Course L0514: Metallic Materials for Aircraft Applications |
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. Joachim Albrecht |
Language | EN |
Cycle | SoSe |
Content |
Titanium and Titanium alloys: Extraction and melting, phase diagrams, physical properties. CP-Titanium and Alpha alloys: Processing and microstructure, properties and applications. Alpha+Beta alloys: Processing and microstructure, properties and applications. Beta alloys: Processing and microstructure, properties and applications Nickel-base Superalloys: Optimization of creep resistance for gas turbine engines, microstructural constituents and influence of alloying elements, thermomechanical treatment and resulting properties, long time stability at high temperatures |
Literature |
G. Luetjering, J.C. Williams: Titanium, 2nd ed., Springer, Berlin, Heidelberg, 2007, ISBN 978-3-540-71397 C.T. Sims, W.C. Hagel: The Superalloys, John Wiley & Sons, New York, 1972, ISBN 0-471-79207-1 |
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 |
|
Literature |
|
Course L0855: System Analysis in Air Transportation |
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 | 60 Minuten |
Lecturer | Dr. Marco Weiss |
Language | DE |
Cycle | WiSe |
Content |
|
Literature | Hand out |
Course L0949: Materials Testing |
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
|
Literature |
E. Macherauch: Praktikum in Werkstoffkunde, Vieweg |
Course L0176: 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 | Prof. Uwe Weltin |
Language | EN |
Cycle | SoSe |
Content |
Method for calculation and testing of reliability of dynamic machine systems
|
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 L1303: 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. Uwe Weltin |
Language | EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L1554: Reliability of avionics assemblies |
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 | SoSe |
Content |
The objective of the lecture with
the corresponding exercise is the acquisition of knowledge for development, electronic
packaging technology and the production of electronic components for safety-critical
applications. On an item, component and system level it is shown, how the
specified safety objectives for electronics in aircraft can be achieved. Current
challenges, such as availability of components, component counterfeiting and
the use of components off-the-shelf (COTS) will be discussed: |
Literature |
- Skript zur Vorlesung Hanke, H.-J.: Baugruppentechnologie der Elektronik. Leiterplatten. Verlag Technik, 1994 Scheel, W.: Baugruppentechnologie der Elektronik. Montage. Verlag Technik, 1999 |
Course L1555: Reliability of avionics assemblies |
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 | SoSe |
Content |
The objective of the lecture with
the corresponding exercise is the acquisition of knowledge for development, electronic
packaging technology and the production of electronic components for safety-critical
applications. On an item, component and system level it is shown, how the
specified safety objectives for electronics in aircraft can be achieved. Current
challenges, such as availability of components, component counterfeiting and
the use of components off-the-shelf (COTS) will be discussed: |
Literature |
- Skript zur Vorlesung Hanke, H.-J.: Baugruppentechnologie der Elektronik. Leiterplatten. Verlag Technik, 1994 Scheel, W.: Baugruppentechnologie der Elektronik. Montage. Verlag Technik, 1999 |
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 |
|
Literature |
|
Module M0764: Aircraft Systems II |
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Courses | ||||||||||||
|
Module Responsible | Prof. Frank Thielecke |
Admission Requirements | None |
Recommended Previous Knowledge |
basic knowledge of:
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are
able to…
|
Skills |
Students are able to…
|
Personal Competence | |
Social Competence |
Students are able to:
|
Autonomy |
Students are able to:
|
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Credit points | 6 |
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 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 Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L0736: Aircraft Systems II |
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 |
|
Literature |
|
Course L0740: Aircraft Systems II |
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 M1182: Technical Elective Course for TMBMS (according to Subject Specific Regulations) |
||||
Courses | ||||
|
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 | Independent Study Time 180, Study Time in Lecture 0 |
Credit points | 6 |
Examination | according to Subject Specific Regulations |
Examination duration and scale | |
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 Numerics and Computer Science: Elective Compulsory |
Module M0771: Flight Physics |
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Courses | ||||||||||||||||
|
Module Responsible | Prof. Frank Thielecke |
Admission Requirements | None |
Recommended Previous Knowledge |
Basic knowledge in:
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge | |
Skills | |
Personal Competence | |
Social Competence | |
Autonomy | |
Workload in Hours | Independent Study Time 96, Study Time in Lecture 84 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 120 Minutes (WS) + 90 Minutes (SS) |
Assignment for the Following Curricula |
Aircraft Systems Engineering: Core qualification: Compulsory International Management and Engineering: Specialisation II. Aviation Systems: 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 Theoretical Mechanical Engineering: Technical Complementary Course: 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. Klaus-Uwe Hahn, Dr. Ralf Heinrich |
Language | DE |
Cycle | WiSe |
Content |
|
Literature |
|
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. Klaus-Uwe Hahn, Dr. Gerko Wende |
Language | DE |
Cycle | SoSe |
Content |
|
Literature |
|
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. Klaus-Uwe Hahn, Dr. Gerko Wende |
Language | DE |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1032: Airport Planning and Operations |
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Courses | ||||||||||||||||
|
Module Responsible | Prof. Volker Gollnick |
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 |
Organization of workflows and -strategies |
Workload in Hours | Independent Study Time 96, Study Time in Lecture 84 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 120 min |
Assignment for the Following Curricula |
Aircraft Systems Engineering: Specialisation Air Transportation Systems: Elective Compulsory Aircraft Systems Engineering: Specialisation Cabin Systems: Elective Compulsory International Management and Engineering: Specialisation II. Aviation Systems: Elective Compulsory Logistics, Infrastructure and Mobility: Specialisation Infrastructure and Mobility: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L1276: Airport Operations |
Typ | Lecture |
Hrs/wk | 3 |
CP | 3 |
Workload in Hours | Independent Study Time 48, Study Time in Lecture 42 |
Lecturer | Prof. Volker Gollnick, Axel Christian Husfeldt |
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 |
Lecturer | Prof. Volker Gollnick, Dr. Ulrich Häp |
Language | DE |
Cycle | WiSe |
Content |
|
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 |
Lecturer | Prof. Volker Gollnick, Dr. Ulrich Häp |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1155: Aircraft Cabin Systems |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Ralf God |
Admission Requirements |
None |
Recommended Previous Knowledge |
Basic knowledge in: |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to: |
Skills |
Students are able to: |
Personal Competence | |
Social Competence |
Students are able to: |
Autonomy |
Students are able to: |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 120 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 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 Theoretical Mechanical Engineering: Technical Complementary Course: 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: |
Literature |
- Skript zur Vorlesung |
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 |
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 |
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Courses | ||||||||||||||||||||
|
Module Responsible | Prof. Christopher Friedrich Wirz |
Admission Requirements | |
Recommended Previous Knowledge | |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students are able to
|
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 |
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 Theoretical Mechanical Engineering: Technical Complementary Course: 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 |
|
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 |
|
Literature |
|
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 M1177: Maritime Technology and Maritime Systems |
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Courses | ||||||||||||||||||||
|
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
|
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 |
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 Theoretical Mechanical Engineering: Technical Complementary Course: 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 |
|
Literature |
|
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. Sven Hoog |
Language | DE |
Cycle | WiSe |
Content |
1. Introduction
2. Coastal and offshore Environmental Conditions
3. Response behavior of Technical Structures 4. Maritime Systems and Technologies
|
Literature |
|
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. Sven Hoog |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0663: Marine Geotechnics and Numerics |
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Courses | ||||||||||||||||
|
Module Responsible | Prof. Jürgen Grabe |
Admission Requirements | none |
Recommended Previous Knowledge |
complete modules: Geotechnics I-II, Mathematics I-III courses: Soil laboratory course |
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 |
Examination | Written exam |
Examination duration and scale | 90 min |
Assignment for the Following Curricula |
Civil Engineering: Specialisation Coastal Engineering: Compulsory Civil Engineering: Specialisation Geotechnical Engineering: Compulsory Civil Engineering: Specialisation Structural Engineering: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: 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 |
|
Literature |
|
Course L0549: Marine Geotechnics |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Jürgen Grabe |
Language | DE |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L0375: Numerical Methods in Geotechnics |
Typ | Lecture |
Hrs/wk | 3 |
CP | 3 |
Workload in Hours | Independent Study Time 48, Study Time in Lecture 42 |
Lecturer | Dr. Hans Mathäus Hügel |
Language | DE |
Cycle | SoSe |
Content |
Topics:
|
Literature |
|
Module M0860: Harbour Engineering and Harbour Planning |
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Courses | ||||||||||||||||
|
Module Responsible | Prof. Peter Fröhle |
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 define in details and to choose design approaches for the functional design of a port and apply them to design tasks. They can design the fundamental elements of a port. |
Skills |
The students are able to select and apply appropriate approaches for the functional design of ports. |
Personal Competence | |
Social Competence |
The students are able to deploy their gained knowledge in applied problems such as the functional design of ports. Additionaly, they will be able to work in team with engineers of other disciplines. |
Autonomy |
The students will be able to independently extend their knowledge and apply it to new problems. |
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | The duration of the examination is 150 min. The examination includes tasks with respect to the general understanding of the lecture contents and calculations tasks. |
Assignment for the Following Curricula |
Civil Engineering: Specialisation Structural Engineering: Elective Compulsory Civil Engineering: Specialisation Geotechnical Engineering: Elective Compulsory Civil Engineering: Specialisation Coastal Engineering: Compulsory International Management and Engineering: Specialisation II. Civil Engineering: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L0809: Habour Engineering |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Peter Fröhle |
Language | DE |
Cycle | SoSe |
Content |
|
Literature | Brinkmann, B.: Seehäfen, Springer 2005 |
Course L1414: Habour Engineering |
Typ | Problem-based Learning |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | Prof. Peter Fröhle |
Language | DE |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L0378: Port Planning and Port Construction |
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 |
|
Literature | Vorlesungsumdruck, s. www.tu-harburg.de/gbt |
Module M1021: Marine Diesel Engine Plants |
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Courses | ||||||||||||
|
Module Responsible | Prof. Christopher Friedrich Wirz |
Admission Requirements | |
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 |
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 Theoretical Mechanical Engineering: Technical Complementary Course: 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 |
|
Literature |
|
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 M1132: Maritime Transport |
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Courses | ||||||||||||
|
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…
|
Skills |
The students are able to...
|
Personal Competence | |
Social Competence |
The students are able to...
|
Autonomy | |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 120 minutes |
Assignment for the Following Curricula |
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: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: 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 lecture aims to provide detailed knowledge about maritime transportation and to describe its main challenges and functions. In this context, conventional and current problems are dealt with. All actors of a maritime transport chain are considered during the lecture. In this context, ports, vessels and sea routes are analysed and discussed in details. Conventional problems, planning tasks and current subjects, e. g. Green Logistics, are also part of the lecture. |
Literature |
|
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 |
|
Module M1133: Port Logistics |
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Courses | ||||||||||||
|
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 |
The students are able to…
|
Skills |
The students are able to…
|
Personal Competence | |
Social Competence |
The students are able to…
|
Autonomy |
The students are able to • research and select technical literature as well as norms and guidelines • to hand in on time and to present an own share of a considerable written scientific work which was compiled in a small team together with other students |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 120 minutes |
Assignment for the Following Curricula |
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: Elective Compulsory Naval Architecture and Ocean Engineering: Core qualification: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: 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 |
The outstanding role of maritime transport for international trade requires efficient ports. These must meet numerous requirements in terms of profitability, speed, safety and environment. Recognising this, port logistics contains the planning, management, operation and control of material flows and the corresponding information flows in the system and its interfaces to several actors within and outside the port area. The course “Port Logistics” aims to provide skills to comprehend structures and processes in ports. It focuses on different terminal types, their characteristic layouts, the technical equipment which is used and the interaction between the actors. |
Literature |
|
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 exercise lesson focuses on analytical tasks in the field of terminal planning. During the exercise lesson, the students work in small groups on designing terminal layouts under consideration of given conditions. The calculated logistics metrics, respectively the corresponding terminal layouts must be illustrated in 2D and 3D using special planning software. |
Literature |
|
Module M1182: Technical Elective Course for TMBMS (according to Subject Specific Regulations) |
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Courses | ||||
|
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 | Independent Study Time 180, Study Time in Lecture 0 |
Credit points | 6 |
Examination | according to Subject Specific Regulations |
Examination duration and scale | |
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 Numerics and Computer Science: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory |
Module M1146: Ship Vibration |
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Courses | ||||||||||||
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Module Responsible | Dr. Rüdiger Ulrich Franz von Bock und Polach |
Admission Requirements | None |
Recommended Previous Knowledge |
Mechanis I - III |
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 |
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 Theoretical Mechanical Engineering: Technical Complementary Course: 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 |
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 |
Literature | Siehe Vorlesungsskript |
Module M1268: Linear and Nonlinear Waves |
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Courses | ||||||||
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Module Responsible | Prof. Norbert Hoffmann |
Admission Requirements | Master-Level |
Recommended Previous Knowledge | Good Knowledge in Mathematics, Mechanics and Dynamics. |
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 and to develop and research new terms and concepts. |
Skills | Students are able to apply existing methods and procesures of Wave Mechanics and to develop novel methods and procedures. |
Personal Competence | |
Social Competence | Students can reach working results also in groups. |
Autonomy | Students are able to approach given research tasks individually and 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 |
Examination | Written exam |
Examination duration and scale | 2 Hours |
Assignment for the Following Curricula |
Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory Mechatronics: Specialisation System Design: Elective Compulsory Naval Architecture and Ocean Engineering: Core qualification: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L1737: Linear and Nonlinear Waves |
Typ | 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. |
Literature |
G.B. Witham, Linear and Nonlinear Waves. Wiley 1999. C.C. Mei, Theory and Applications of Ocean Surface Waves. World Scientific 2004. |
The focus of the specialization „numerics and computer science“ is on the acquisition of in-depth knowledge and skills in engineering-related fields of computer science and numerical analysis. This is made possible by modules in the elective area on the topics distributed or efficient algorithms or algorithms of structural mechanics, process automation technology, digital image analysis, pattern recognition and data compression, approximation and stability, machine learning and data mining, matrix algorithms, Numerical Analysis and Real-Time Systems. This cross-sectional technologies are now largely anchored in modern research and development process of mechanical engineering systems established. In addition, subjects in the Technical Supplement Course for TMBMS (according FSPO) are freely selectable.
Module M0633: Industrial Process Automation |
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Courses | ||||||||||||
|
Module Responsible | Prof. Alexander Schlaefer |
Admission Requirements | None |
Recommended Previous Knowledge |
mathematics and optimization methods |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students can evaluate and assess disctrete 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. |
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 work in teams to solve problems. |
Autonomy |
The students can reflect their knowledge and document the results of their work. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
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 Intelligence Engineering: Elective Compulsory Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory International Production Management: Specialisation Production Technology: Elective Compulsory International Management and Engineering: Specialisation II. Mechatronics: Elective Compulsory Mechanical Engineering and Management: Specialisation Mechatronics: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: 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 |
Literature |
J. Lunze: „Automatisierungstechnik“, Oldenbourg Verlag, 2012 |
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 M0926: Distributed Algorithms |
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Courses | ||||||||||||
|
Module Responsible | Prof. Volker Turau |
Admission Requirements | None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge | Students know the main abstractions of distributed algorithms (synchronous/asynchronous model, message passing and shared memory model). They are able to describe complexity measures for distributed algorithms (round , message and memory complexity). They explain well known distributed algorithms for important problems such as leader election, mutual exclusion, graph coloring, spanning trees. They know the fundamental techniques used for randomized algorithms. |
Skills | Students design their own distributed algorithms and analyze their complexity. They make use of known standard algorithms. They compute the complexity of randomized algorithms. |
Personal Competence | |
Social Competence | |
Autonomy | |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | |
Assignment for the Following Curricula |
Computer Science: Specialisation Computer and Software Engineering: Elective Compulsory Computational Science and Engineering: Specialisation Information and Communication Technology: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L1071: Distributed Algorithms |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Volker Turau |
Language | DE/EN |
Cycle | WiSe |
Content |
|
Literature |
|
Course L1072: Distributed Algorithms |
Typ | Recitation Section (large) |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Volker Turau |
Language | DE/EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0551: Pattern Recognition and Data Compression |
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Courses | ||||||||
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Module Responsible | Prof. Rolf-Rainer Grigat |
Admission Requirements | |
Recommended Previous Knowledge |
Linear algebra (including PCA, unitary transforms), stochastics and statistics, binary arithmetics |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students can name the basic concepts of pattern recognition and data compression. Students are able to discuss logical connections between the concepts covered in the course and to explain them by means of examples. |
Skills |
Students can apply statistical methods to classification problems in pattern recognition and to prediction in data compression. On a sound theoretical and methodical basis they can analyze characteristic value assignments and classifications and describe data compression and video signal coding. They are able to use highly sophisticated methods and processes of the subject area. Students are capable of assessing different solution approaches in multidimensional decision-making areas. |
Personal Competence | |
Social Competence | |
Autonomy |
Students are capable of identifying problems independently and of solving them scientifically, using the methods they have learnt. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 60 Minutes, Content of Lecture and materials in StudIP |
Assignment for the Following Curricula |
Computer Science: Specialisation Intelligence Engineering: Elective Compulsory Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: 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 International Management and Engineering: Specialisation II. Electrical Engineering: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L0128: Pattern Recognition and Data Compression |
Typ | Lecture |
Hrs/wk | 4 |
CP | 6 |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Lecturer | Prof. Rolf-Rainer Grigat |
Language | EN |
Cycle | SoSe |
Content |
Structure of a pattern recognition system, statistical decision theory, classification based on statistical models, polynomial regression, dimension reduction, multilayer perceptron regression, radial basis functions, support vector machines, unsupervised learning and clustering, algorithm-independent machine learning, mixture models and EM, adaptive basis function models and boosting, Markov random fields Information, entropy, redundancy, mutual information, Markov processes, basic coding schemes (code length, run length coding, prefix-free codes), entropy coding (Huffman, arithmetic coding), dictionary coding (LZ77/Deflate/LZMA2, LZ78/LZW), prediction, DPCM, CALIC, quantization (scalar and vector quantization), transform coding, prediction, decorrelation (DPCM, DCT, hybrid DCT, JPEG, JPEG-LS), motion estimation, subband coding, wavelets, HEVC (H.265,MPEG-H) |
Literature |
Schürmann: Pattern Classification, Wiley 1996 Salomon, Data Compression, the Complete Reference, Springer, 2000 |
Module M0606: Numerical Algorithms in Structural Mechanics |
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Courses | ||||||||||||
|
Module Responsible | Prof. Alexander Düster |
Admission Requirements |
None |
Recommended Previous Knowledge |
Mathematics I, II, III, Mechanics I, II, III, IV Differential Equations 2 (Partial Differential Equations) |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to |
Skills |
Students are able to |
Personal Competence | |
Social Competence |
Students are able to |
Autonomy |
Students are able to |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 2h |
Assignment for the Following Curricula |
Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory Materials Science: Specialisation Modelling: Elective Compulsory Naval Architecture and Ocean Engineering: Core qualification: Elective Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory Technomathematics: Core qualification: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: 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 |
Literature |
[1] D. Yang, C++ and object-oriented numeric computing, Springer, 2001. |
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 M1182: Technical Elective Course for TMBMS (according to Subject Specific Regulations) |
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Courses | ||||
|
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 | Independent Study Time 180, Study Time in Lecture 0 |
Credit points | 6 |
Examination | according to Subject Specific Regulations |
Examination duration and scale | |
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 Numerics and Computer Science: Elective Compulsory |
Module M0627: Machine Learning and Data Mining |
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Courses | ||||||||||||
|
Module Responsible | NN |
Admission Requirements |
|
Recommended Previous Knowledge |
|
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 |
Examination | Written exam |
Examination duration and scale | 90 minutes |
Assignment for the Following Curricula |
International Management and Engineering: Specialisation II. Information Technology: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: 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 |
|
Literature |
|
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 M0653: High-Performance Computing |
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Courses | ||||||||||||
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Module Responsible | Prof. Thomas Rung |
Admission Requirements |
None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to outline the fundamentals of numerical algorithms for high-performance computers by reference to modern hardware examples. Students can explain the relation between hard- and software aspects for the design of algorithms. |
Skills | Student can perform a critical assesment of the computational efficiency of simulation approaches. |
Personal Competence | |
Social Competence | Students are able to develop and code algorithms in a team. |
Autonomy |
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 1.5h |
Assignment for the Following Curricula |
Computer Science: Specialisation Computer and Software Engineering: Elective Compulsory Electrical Engineering: Specialisation Modeling and Simulation: Elective Compulsory Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory Naval Architecture and Ocean Engineering: Core qualification: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L0242: Fundamentals of High-Performance Computing |
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 |
Fundamentals of modern hardware architectur, critical hard- & software aspects for efficient processing of exemplary algorithms, concepts for shared- and distributed-memory systems, implementations for accelerator hardware (GPGPUs) |
Literature |
Course L1416: Fundamentals of High-Performance Computing |
Typ | Problem-based Learning |
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 M0692: Approximation and Stability |
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Courses | ||||||||||||||||
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Module Responsible | Prof. Marko Lindner |
Admission Requirements | None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to
|
Skills |
Students are able to
|
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 |
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | 30 |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory Electrical Engineering: Specialisation Modeling and Simulation: Elective Compulsory Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory Technomathematics: Specialisation I. Mathematics: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L0487: Approximation and Stability |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Marko Lindner |
Language | DE/EN |
Cycle | SoSe |
Content |
This course is about solving the following basic problems of Linear Algebra,
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:
|
Literature |
|
Course L0489: Approximation and Stability |
Typ | Seminar |
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 |
Course L0488: Approximation and Stability |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Marko Lindner |
Language | DE/EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0711: Numerical Mathematics II |
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Courses | ||||||||||||
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Module Responsible | Prof. Blanca Ayuso Dios |
Admission Requirements | None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to
|
Skills |
Students are able to
|
Personal Competence | |
Social Competence |
Students are able to
|
Autonomy |
Students are capable
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | 30 min |
Assignment for the Following Curricula |
Computer Science: Specialisation Computer and Software Engineering: Elective Compulsory Computer Science: Specialisation Intelligence Engineering: Elective Compulsory Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory Computational Science and Engineering: Specialisation Information and Communication Technology: Elective Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory Technomathematics: Specialisation I. Mathematics: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: 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 | Dr. Patricio Farrell |
Language | DE/EN |
Cycle | SoSe |
Content |
|
Literature |
|
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 | Dr. Patricio Farrell |
Language | DE/EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0881: Mathematical Image Processing |
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Courses | ||||||||||||
|
Module Responsible | Prof. Marko Lindner |
Admission Requirements | None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to
|
Skills |
Students are able to
|
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 |
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
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 Intelligence Engineering: Elective Compulsory Electrical Engineering: Specialisation Modeling and Simulation: Elective Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory Mechatronics: Technical Complementary Course: Elective Compulsory Technomathematics: Specialisation I. Mathematics: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: 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 |
|
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 M0716: Hierarchical Algorithms |
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Courses | ||||||||||||
|
Module Responsible | Prof. Sabine Le Borne |
Admission Requirements | None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to
|
Skills |
Students are able to
|
Personal Competence | |
Social Competence |
Students are able to
|
Autonomy |
Students are capable
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | 20 min |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Modeling and Simulation: Elective Compulsory Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory Technomathematics: Specialisation I. Mathematics: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: 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 |
|
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: Numerics of Partial Differential Equations |
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Courses | ||||||||||||
|
Module Responsible | Prof. Sabine Le Borne |
Admission Requirements |
None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
|
Skills | Students are capable to formulate solution strategies for given problems involving partial differential equations, to comment on theoretical properties concerning convergence and to implement and test these methods in practice. |
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 |
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | 25 min |
Assignment for the Following Curricula |
Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory Technomathematics: Specialisation I. Mathematics: Elective Compulsory Technomathematics: Core qualification: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: 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. Sabine Le Borne, Dr. Patricio Farrell |
Language | DE/EN |
Cycle | WiSe |
Content |
Elementary Theory and Numerics of PDEs
|
Literature |
Dietrich Braess: Finite Elemente: Theorie, schnelle Löser und Anwendungen in der Elastizitätstheorie, Berlin u.a., Springer 2007 Susanne Brenner, Ridgway Scott: The Mathematical Theory of Finite Element Methods, Springer, 2008 |
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. Sabine Le Borne, Dr. Patricio Farrell |
Language | DE/EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0550: Digital Image Analysis |
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Courses | ||||||||
|
Module Responsible | Prof. Rolf-Rainer Grigat |
Admission Requirements | k.A. |
Recommended Previous Knowledge |
System theory of one-dimensional signals (convolution and correlation, sampling theory, interpolation and decimation, Fourier transform, linear time-invariant systems), linear algebra (Eigenvalue decomposition, SVD), basic stochastics and statistics (expectation values, influence of sample size, correlation and covariance, normal distribution and its parameters), basics of Matlab, basics in optics |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students can
|
Skills |
Students are able to
Students can solve simple arithmetical problems relating to the specification and design of image processing and image analysis systems. Students are able to assess different solution approaches in multidimensional decision-making areas. Students can undertake a prototypical analysis of processes in Matlab. |
Personal Competence | |
Social Competence |
k.A. |
Autonomy |
Students can solve image analysis tasks independently using the relevant literature. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 60 Minutes, Content of Lecture and materials in StudIP |
Assignment for the Following Curricula |
Computer Science: Specialisation Intelligence Engineering: Elective Compulsory Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory Electrical Engineering: Specialisation Medical Technology: Elective Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory Information and Communication Systems: Specialisation Communication Systems, Focus Signal Processing: Elective Compulsory Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Software and Signal Processing: Elective Compulsory International Management and Engineering: Specialisation II. Information Technology: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory |
Course L0126: Digital Image Analysis |
Typ | Lecture |
Hrs/wk | 4 |
CP | 6 |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Lecturer | Prof. Rolf-Rainer Grigat |
Language | EN |
Cycle | WiSe |
Content |
|
Literature |
Bredies/Lorenz, Mathematische Bildverarbeitung, Vieweg, 2011 |
Module M0586: Efficient Algorithms |
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Courses | ||||||||||||
|
Module Responsible | Prof. Siegfried Rump |
Admission Requirements | None |
Recommended Previous Knowledge |
Programming in Matlab and/or C Basic knowledge in discrete mathematics |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students are able to explain the basic theory and methods of network algorithms and in particular their data structures. They are able to analyze the computational behavior and computing time of linear programming algorithms as well network algorithms. Moreover the students can distinguish between efficiently solvable and NP-hard problems. |
Skills |
The students are able to analyze complex tasks and can determine possibilities to transform them into networking algorithms. In particular they can efficiently implement basic algorithms and data structures of LP- and network algorithms and identify possible weaknesses. They are able to distinguish between different efficient data structures and are able to use them appropriately. |
Personal Competence | |
Social Competence |
The students have the skills to solve problems together in small groups and to present the achieved results in an appropriate manner. |
Autonomy |
The students are able to retrieve necessary informations from the given literature and to combine them with the topics of the lecture. Throughout the lecture they can check their abilities and knowledge on the basis of given exercises and test questions providing an aid to optimize their learning process. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | 30 min |
Assignment for the Following Curricula |
Computer Science: Specialisation Intelligence Engineering: Elective Compulsory Computer Science: Specialisation Computer and Software Engineering: Elective Compulsory Electrical Engineering: Specialisation Modeling and Simulation: Elective Compulsory Computational Science and Engineering: Specialisation Information and Communication Technology: Elective Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory |
Course L0120: Efficient Algorithms |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Siegfried Rump |
Language | DE |
Cycle | WiSe |
Content |
- Linear Programming - Data structures - Leftist heaps - Minimum spanning tree - Shortest path - Maximum flow - NP-hard problems via max-cut |
Literature |
R. E. Tarjan: Data Structures and Network Algorithms. CBMS 44, Society for Industrial and Applied Mathematics, Philadelphia, PA, 1983. Wesley, 2011 http://algs4.cs.princeton.edu/home/ V. Chvátal, ``Linear Programming'', Freeman, New York, 1983. |
Course L1207: Efficient Algorithms |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Siegfried Rump |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0720: Matrix Algorithms |
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Courses | ||||||||||||
|
Module Responsible | Dr. Jens-Peter Zemke |
Admission Requirements | None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to
|
Skills |
Students are capable to
|
Personal Competence | |
Social Competence |
Students can
|
Autonomy |
Students are able to
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | 30 min |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Modeling and Simulation: Elective Compulsory Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory Technomathematics: Specialisation I. Mathematics: Elective Compulsory Technomathematics: Specialisation I. Mathematics: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: 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 |
Cycle | WiSe |
Content |
|
Literature | Skript |
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 |
Cycle | WiSe |
Content | |
Literature | Siehe korrespondierende Vorlesung |
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 |
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Courses | ||||||||||||
|
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:
|
Skills |
Students will gain deep insights into:
|
Personal Competence | |
Social Competence |
|
Autonomy |
|
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Credit points | 6 |
Examination | Written exam |
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 Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L0851: Product Planning |
Typ | Problem-based Learning |
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.: |
Literature | Ulrich, K./Eppinger, S.: Product Design and Development, 2nd. Edition, McGraw-Hill 2010 |
Course L0853: Product Planning Seminar |
Typ | 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/siehe Vorlesung Produktplanung/Product Planning |
Module M0867: Production Planning & Control and Digital Enterprise |
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Courses | ||||||||||||||||||||
|
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 |
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 Theoretical Mechanical Engineering: Technical Complementary Course: 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. Axel Friedewald |
Language | DE |
Cycle | WiSe |
Content |
|
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 |
|
Literature |
|
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. Axel Friedewald |
Language | DE |
Cycle | WiSe |
Content |
See interlocking course |
Literature |
Siehe korrespondierende Vorlesung See interlocking course |
Module M1024: Methods of Integrated Product Development |
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Courses | ||||||||||||
|
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:
|
Skills |
After passing the module students are able to:
|
Personal Competence | |
Social Competence |
After passing the module students are able to:
|
Autonomy |
After passing the module students are able to:
|
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | 30 Minuten |
Assignment for the Following Curricula |
Aircraft Systems Engineering: Specialisation Cabin Systems: Elective Compulsory Aircraft Systems Engineering: Specialisation Air Transportation Systems: Elective Compulsory International Management and Engineering: Specialisation II. Product Development and Production: Elective Compulsory Mechatronics: Specialisation System Design: 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 Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L1254: Integrated Product Development II |
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.
Construction 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. |
Literature |
|
Course L1255: Integrated Product Development II |
Typ | 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 M1182: Technical Elective Course for TMBMS (according to Subject Specific Regulations) |
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Courses | ||||
|
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 | Independent Study Time 180, Study Time in Lecture 0 |
Credit points | 6 |
Examination | according to Subject Specific Regulations |
Examination duration and scale | |
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 Numerics and Computer Science: Elective Compulsory |
Module M0805: Technical Acoustics I (Acoustic Waves, Noise Protection, Psycho Acoustics ) |
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Courses | ||||||||||||
|
Module Responsible | Prof. Otto von Estorff |
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 | |
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 |
Examination | Oral exam |
Examination duration and scale | 20-30 Minuten |
Assignment for the Following Curricula |
Energy Systems: Core qualification: Elective Compulsory Aircraft Systems Engineering: Specialisation Cabin Systems: Elective Compulsory International Management and Engineering: Specialisation II. Aviation Systems: Elective Compulsory Mechatronics: Specialisation System Design: Elective Compulsory Product Development, Materials and Production: Core qualification: Elective Compulsory Technomathematics: Core qualification: Elective Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: 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 | Prof. Otto von Estorff |
Language | EN |
Cycle | SoSe |
Content |
- Introduction and Motivation |
Literature |
Cremer, L.; Heckl, M. (1996): Körperschall. Springer Verlag, Berlin |
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 | Prof. Otto von Estorff |
Language | EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1143: Mechanical Design Methodology |
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Courses | ||||||||||||
|
Module Responsible | Prof. Josef Schlattmann |
Admission Requirements | none |
Recommended Previous Knowledge | |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Science-based working on 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 | |
Autonomy | |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | |
Assignment for the Following Curricula |
International Management and Engineering: Specialisation II. Product Development and Production: Elective Compulsory Mechatronics: Specialisation System Design: 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 Product Development and Production: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L1523: Mechanical Design Methodology |
Typ | Lecture |
Hrs/wk | 3 |
CP | 4 |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Lecturer | Prof. Josef Schlattmann |
Language | DE |
Cycle | SoSe |
Content |
|
Literature |
|
Course L1524: Mechanical Design Methodology |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | Prof. Josef Schlattmann |
Language | DE |
Cycle | SoSe |
Content |
|
Literature |
|
Module M0563: Robotics |
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Courses | ||||||||||||
|
Module Responsible | Prof. Uwe Weltin |
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 110, Study Time in Lecture 70 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 120 min |
Assignment for the Following Curricula |
Computer Science: Specialisation Intelligence Engineering: Elective Compulsory Aircraft Systems Engineering: Specialisation Aircraft Systems: Elective Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory International Production Management: Specialisation Production Technology: Elective Compulsory International Management and Engineering: Specialisation II. Mechatronics: Elective Compulsory International Management and Engineering: Specialisation II. Product Development and Production: 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: Technical Complementary Course: Elective Compulsory |
Course L0168: Robotics: Modelling and Control |
Typ | Lecture |
Hrs/wk | 3 |
CP | 3 |
Workload in Hours | Independent Study Time 48, Study Time in Lecture 42 |
Lecturer | Prof. Uwe Weltin |
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 |
Course L1305: Robotics: Modelling and Control |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Uwe Weltin |
Language | EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1183: Laser systems and methods of manufacturing design and analysis |
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Courses | ||||||||||||
|
Module Responsible | Prof. Wolfgang Hintze |
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 |
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 Theoretical Mechanical Engineering: Technical Complementary Course: 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 |
|
Literature |
|
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. Wolfgang Hintze |
Language | DE |
Cycle | WiSe |
Content |
|
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 M1025: Fluidics |
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Courses | ||||||||||||||||
|
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
|
Skills |
After passing the module students are able to
|
Personal Competence | |
Social Competence |
After passing the module students are able to
|
Autonomy |
After passing the module students are able to
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
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 Theoretical Mechanical Engineering: Technical Complementary Course: 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
Pneumatics
Hydrodynamics
Exercise Hydrostatics
Hydrodynamics
Field trip
Exercise Numerical simulation of hydrostatic systems
|
Literature |
Bücher
|
Course L1371: Fluidics |
Typ | 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 M0806: Technical Acoustics II (Room Acoustics, Computational Methods) |
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Courses | ||||||||||||
|
Module Responsible | Prof. Otto von Estorff |
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 | |
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 |
Examination | Oral exam |
Examination duration and scale | 20-30 Minuten |
Assignment for the Following Curricula |
Aircraft Systems Engineering: Specialisation Cabin Systems: Elective Compulsory Mechatronics: Specialisation System Design: Elective Compulsory Product Development, Materials and Production: Core qualification: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Product Development and Production: 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 | Prof. Otto von Estorff |
Language | EN |
Cycle | WiSe |
Content |
- Room acoustics - Standard computations - Practical applications |
Literature |
Cremer, L.; Heckl, M. (1996): Körperschall. 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 | Prof. Otto von Estorff |
Language | EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1174: Automation Technology and Systems |
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Courses | ||||||||||||||||||||
|
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
|
Skills |
Students are able to...
|
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 ...
|
Workload in Hours | Independent Study Time 96, Study Time in Lecture 84 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | |
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: Technical Complementary Course: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory |
Course L1591: Handling and Assembly Systems |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Thorsten Schüppstuhl |
Language | DE |
Cycle | WiSe |
Content |
Fundamentals and terminology of handling and assembly systems -Analysis of parts and handling tasks -Supply and transfer systems -Gripper -Industrial robots: structure, control and programming -Safety of machinery |
Literature |
Stefan Hesse Grundlagen der Handhabungstechnik ISBN: 3446418725 München Hanser, 2010 |
Course L1738: Handling and Assembly 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 | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L1590: Automation Technology |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Thorsten Schüppstuhl |
Language | DE |
Cycle | SoSe |
Content |
-Introduction to the production Automation including their different fields of application, importent terms, automation history and upcoming trends -Overview of different actuator concepts and their principles -Design of pneumatic wiring diagrams -Energyefficency in the production -Review of automatic identification systems like Barcode and RFID -Overview of the structure, components and algorithms of an image processing system -Introduction to buscommunication an the different general concepts -Comparision of Programmable logic controllers and hard-wired programmed logic controllers including the upcoming trends |
Literature |
Reinhard Langmann: Taschenbuch der Automatisierung Holger Watter: Hydraulik und Pneumatik Horst Walter Grollius: Grundlagen der Pneumatik Hubertus Murrenhoff: Grundlagen der Fluidtechnik Christian Demant: Industrielle Bildverarbeitung Michael ten Hompel: Identifikationssysteme und Automatisierung Hans-Jürgen Gevatter, Ulrich Grünhaupt: Handbuch der Mess- und Automatisierungstechnik in der Produktion |
Course L1739: Automation Technology |
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 | |
Literature |
Module M0739: Factory Planning & Production Logistics |
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Courses | ||||||||||||
|
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 |
Examination | Written exam |
Examination duration and scale | 120 min |
Assignment for the Following Curricula |
International Management and Engineering: Specialisation II. Logistics: Elective Compulsory Logistics, Infrastructure and Mobility: Specialisation Production and Logistics: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: 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 |
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. Current trends and issues in the factory planning round off the lecture. |
Literature |
Bracht, Uwe; Wenzel, Sigrid; Geckler, Dieter (2011): Digitale Fabrik: Methoden und Praxisbeispiele. 1. 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 (2009): Handbuch Fabrikplanung: Konzept, Gestaltung und Umsetzung wandlungsfähiger Produktionsstätten. 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 | Arnd Schirrmann |
Language | DE |
Cycle | WiSe |
Content |
|
Literature |
Pawellek, G.: Produktionslogistik: Planung - Steuerung - Controlling. Carl Hanser Verlag 2007 |
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 M1151: Material Modeling |
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Courses | ||||||||||||
|
Module Responsible | Prof. Swantje Bargmann |
Admission Requirements | None |
Recommended Previous Knowledge |
mechanics I mechanics II continuum mechanics |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge | The students can explain the fundamentals of multidimensional consitutive material laws |
Skills | The students can implement their own material laws in finite element codes. In particular, the students can apply their knowledge to various problems of material science and evaluate the corresponding material models. |
Personal Competence | |
Social Competence |
The students are able to develop solutions, to present them to specialists and to develop ideas further. |
Autonomy |
The students are able to assess their own strengths and weaknesses and to define tasks themselves. They can solve exercises in the area of continuum mechanics on their own. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | 30 min |
Assignment for the Following Curricula |
Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory Materials Science: Specialisation Modelling: 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 Materials Science: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: 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. Swantje Bargmann, Dr. Dirk Steglich |
Language | DE/EN |
Cycle | WiSe |
Content |
|
Literature |
D. Raabe: Computational Materials Science, The Simulation of Materials, Microstructures and Properties, Wiley-Vch J. Bonet, R.D. Wood, Nonlinear Continuum Mechanics for Finite Element Analysis, Cambridge G. Gottstein., Physical Foundations of Materials Science, Springer |
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. Swantje Bargmann, Dr. Ingo Scheider |
Language | DE/EN |
Cycle | WiSe |
Content |
|
Literature |
D. Raabe: Computational Materials Science, The Simulation of Materials, Microstructures and Properties, Wiley-Vch J. Bonet, R.D. Wood, Nonlinear Continuum Mechanics for Finite Element Analysis, Cambridge G. Gottstein., Physical Foundations of Materials Science, Springer |
Module M1144: Manufacturing with Polymers and Composites - From Molecule to Part |
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Courses | ||||||||||||
|
Module Responsible | Prof. Bodo Fiedler |
Admission Requirements | Non |
Recommended Previous Knowledge |
Structure and Properties of Polymers Structure and Properties of Composites |
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 polymers and 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 |
The students can transfer their fundamental knowledge on civil engineering to the process of solving practical problems. They identify and overcome typical problems during the realization of projects in the context of civil engineering. Students are able to develop, compare, and choose conceptual solutions for non-standardized problems.
|
Personal Competence | |
Social Competence |
Students are able to cooperate in small, mixed-subject groups in order to independently derive solutions to given problems in the context of civil engineering. They are able to effectively present and explain their results alone or in groups in front of a qualified audience. Students have the ability to develop alternative approaches to an 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 |
Examination | Written elaboration |
Examination duration and scale | 1,5 h |
Assignment for the Following Curricula |
International Management and Engineering: Specialisation II. Product Development and Production: 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: Compulsory Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L0511: Manufacturing with Polymers and 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 |
Manufacturing of Polymers: General Properties; Calendering; Extrusion; Injection Moulding; Thermoforming, Foaming; Joining Manufacturing of Composites: Hand Lay-Up; Pre-Preg; GMT, BMC; SMC, RIM; Pultrusion; Filament Winding |
Literature |
Osswald, Menges: Materials Science of Polymers for Engineers, Hanser Verlag Crawford: Plastics engineering, Pergamon Press Michaeli: Einführung in die Kunststoffverarbeitung, Hanser Verlag Åström: Manufacturing of Polymer Composites, Chapman and Hall |
Course L1516: From Molecule to Composites Part |
Typ | 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). |
Literature |
Customer Request ("Handout") |
Module M1182: Technical Elective Course for TMBMS (according to Subject Specific Regulations) |
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Courses | ||||
|
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 | Independent Study Time 180, Study Time in Lecture 0 |
Credit points | 6 |
Examination | according to Subject Specific Regulations |
Examination duration and scale | |
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 Numerics and Computer Science: Elective Compulsory |
Module M1152: Modeling Across The Scales |
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Courses | ||||||||||||
|
Module Responsible | Prof. Swantje Bargmann |
Admission Requirements | None |
Recommended Previous Knowledge |
mechanics I mechanics II |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge | The students can describe different deformation mechanisms on different scales and can name the appropriate kind of modeling concept suited for its description. |
Skills | The students are able to predict first estimates of the effective material behavior based on the material's microstructure. They are able to correlate and describe the damage behavior of materials based on their micromechanical behavior. In particular, they are able to apply their knowledge to different problems of material science and evaluate and implement material models into a finite element code. |
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 and to define tasks themselves. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | |
Assignment for the Following Curricula |
Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory Materials Science: Specialisation Modelling: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L1537: Modeling Across The Scales |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Swantje Bargmann |
Language | DE/EN |
Cycle | SoSe |
Content |
|
Literature |
D. Gross, T. Seelig, Bruchmechanik: Mit einer Einführung in die Mikromechanik, Springer T. Zohdi, P. Wriggers: An Introduction to Computational Micromechanics D. Raabe: Computational Materials Science, The Simulation of Materials, Microstructures and Properties, Wiley-Vch G. Gottstein., Physical Foundations of Materials Science, Springer |
Course L1538: Modeling Across The Scales - Excercise |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Swantje Bargmann |
Language | DE/EN |
Cycle | SoSe |
Content |
|
Literature |
D. Gross, T. Seelig, Bruchmechanik: Mit einer Einführung in die Mikromechanik, Springer T. Zohdi, P. Wriggers: An Introduction to Computational Micromechanics D. Raabe: Computational Materials Science, The Simulation of Materials, Microstructures and Properties, Wiley-Vch G. Gottstein., Physical Foundations of Materials Science, Springer |
Module M1170: Phenomena and Methods in Materials Science |
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Courses | ||||||||||||
|
Module Responsible | Prof. Patrick Huber |
Admission Requirements |
none. |
Recommended Previous Knowledge |
Fundamentals of Materials Science (I and II) |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students will be able to explain the properties of advanced materials along with their applications in technology, in particular metallic, ceramic, polymeric, semiconductor, modern composite materials (biomaterials) and nanomaterials. |
Skills |
The students will be able to select material configurations according to the technical needs and, if necessary, to design new materials considering architectural principles from the micro- to the macroscale. The students will also gain an overview on modern materials science, which enables them to select optimum materials combinations depending on the technical applications. |
Personal Competence | |
Social Competence |
The students are able to present solutions to specialists and to develop ideas further. |
Autonomy |
The students are able to ...
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 90 min |
Assignment for the Following Curricula |
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 Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L1580: Experimental Methods for the Characterization of Materials |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Patrick Huber |
Language | DE/EN |
Cycle | SoSe |
Content |
|
Literature |
William D. Callister und David G. Rethwisch, Materialwissenschaften und Werkstofftechnik, Wiley&Sons, Asia (2011). William D. Callister, Materials Science and Technology, Wiley& Sons, Inc. (2007). |
Course L1579: Phase equilibria and transformations |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Jörg Weißmüller |
Language | DE |
Cycle | SoSe |
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 | Wird im Rahmen der Lehrveranstaltung bekannt gegeben. |
Module M1199: Advanced Functional Materials |
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Courses | ||||||||
|
Module Responsible | Prof. Patrick Huber |
Admission Requirements | none. |
Recommended Previous Knowledge |
Fundamentals of Materials Science (I and II) |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students will be able to explain the properties of advanced materials along with their applications in technology, in particular metallic, ceramic, polymeric, semiconductor, modern composite materials (biomaterials) and nanomaterials. |
Skills |
The students will be able to select material configurations according to the technical needs and, if necessary, to design new materials considering architectural principles from the micro- to the macroscale. The students will also gain an overview on modern materials science, which enables them to select optimum materials combinations depending on the technical applications. |
Personal Competence | |
Social Competence |
The students are able to present solutions to specialists and to develop ideas further. |
Autonomy |
The students are able to ...
|
Workload in Hours | Independent Study Time 152, Study Time in Lecture 28 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 90 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: Technical Complementary Course: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory |
Course L1625: Advanced Functional Materials |
Typ | Lecture |
Hrs/wk | 2 |
CP | 6 |
Workload in Hours | Independent Study Time 152, Study Time in Lecture 28 |
Lecturer | Prof. Patrick Huber, Prof. Stefan Müller, Prof. Bodo Fiedler, Prof. Gerold Schneider, Prof. Jörg Weißmüller |
Language | DE/EN |
Cycle | WiSe |
Content |
1. Porous Solids - Preparation, Characterization and Functionalities |
Literature |
Wird in der Veranstaltung bekannt gegeben |
Module M-002: Master Thesis |
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Courses | ||||
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Module Responsible | Professoren der TUHH |
Admission Requirements |
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Recommended Previous Knowledge | |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
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Skills |
The students are able:
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Personal Competence | |
Social Competence |
Students can
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Autonomy |
Students are able:
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Workload in Hours | Independent Study Time 900, Study Time in Lecture 0 |
Credit points | 30 |
Examination | according to Subject Specific Regulations |
Examination duration and scale | see FSPO |
Assignment for the Following Curricula |
Civil Engineering: Thesis: Compulsory Bioprocess Engineering: Thesis: Compulsory Chemical and Bioprocess Engineering: Thesis: Compulsory Computer Science: Thesis: Compulsory Electrical Engineering: Thesis: Compulsory Energy and Environmental Engineering: Thesis: Compulsory Energy Systems: Thesis: Compulsory Environmental Engineering: Thesis: Compulsory Aircraft Systems Engineering: Thesis: Compulsory Global Innovation Management: Thesis: Compulsory Computational Science and Engineering: Thesis: Compulsory Information and Communication Systems: Thesis: Compulsory International Production Management: Thesis: Compulsory International Management and Engineering: Thesis: Compulsory Joint European Master in Environmental Studies - Cities and Sustainability: Thesis: Compulsory Logistics, Infrastructure and Mobility: 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 Ship and Offshore Technology: Thesis: Compulsory Theoretical Mechanical Engineering: Thesis: Compulsory Process Engineering: Thesis: Compulsory Water and Environmental Engineering: Thesis: Compulsory |