Program description
Content
Core Qualification
Module M0577: Nontechnical Courses for Bachelors 
Module Responsible  Dagmar Richter 
Admission Requirements  None 
Recommended Previous Knowledge  None 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
The 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. Selfreliance, selfmanagement, 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 crossdisciplinarily study offering. The centrally designed teaching offering ensures that courses in the nontechnical academic programms follow the specific profiling of TUHH degree courses. The learning architecture demands and trains independent educational planning as regards the individual development of competences. It also provides orientation knowledge in the form of “profiles” The subjects that can be studied in parallel throughout the student’s entire study program  if need be, it can be studied in one to two semesters. In view of the adaptation problems that individuals commonly face in their first semesters after making the transition from school to university and in order to encourage individually planned semesters abroad, there is no obligation to study these subjects in one or two specific semesters during the course of studies. Teaching and Learning Arrangements provide for students, separated into B.Sc. and M.Sc., to learn with and from each other across semesters. The challenge of dealing with interdisciplinarity and a variety of stages of learning in courses are part of the learning architecture and are deliberately encouraged in specific courses. Fields of Teaching are based on research findings from the academic disciplines cultural studies, social studies, arts, historical studies, migration studies, communication studies and sustainability research, and from engineering didactics. In addition, from the winter semester 2014/15 students on all Bachelor’s courses will have the opportunity to learn about business management and startups in a goaloriented way. The fields of teaching are augmented by soft skills offers and a foreign language offer. Here, the focus is on encouraging goaloriented 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

Skills 
Professional Competence (Skills) In selected subareas students can

Personal Competence  
Social Competence 
Personal Competences (Social Skills) Students will be able

Autonomy 
Personal Competences (Selfreliance) Students are able in selected areas

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 M1436: Procedural Programming for Computer Engineers 

Courses  

Module Responsible  NN 
Admission Requirements  None 
Recommended Previous Knowledge  
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge  
Skills  
Personal Competence  
Social Competence  
Autonomy  
Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Credit points  6 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  120 min 
Assignment for the Following Curricula 
Computer Science: Core Qualification: Compulsory Data Science: Core Qualification: Compulsory Computational Science and Engineering: Core Qualification: Compulsory Technomathematics: Core Qualification: Compulsory 
Course L2163: Procedural Programming for Computer Engineers 
Typ  Lecture 
Hrs/wk  1 
CP  2 
Workload in Hours  Independent Study Time 46, Study Time in Lecture 14 
Lecturer  Prof. Siegfried Rump 
Language  DE/EN 
Cycle  WiSe 
Content  
Literature 
Course L2164: Procedular Programming for Computer Engineers 
Typ  Recitation Section (large) 
Hrs/wk  1 
CP  1 
Workload in Hours  Independent Study Time 16, Study Time in Lecture 14 
Lecturer  Dozenten des SD E 
Language  DE/EN 
Cycle  WiSe 
Content  
Literature 
Course L2165: Procedural Programming for Computer Engineers 
Typ  Practical Course 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Dozenten des SD E 
Language  DE/EN 
Cycle  WiSe 
Content  
Literature 
Module M0889: Mechanics I (Statics) 

Courses  

Module Responsible  Prof. Robert Seifried 
Admission Requirements  None 
Recommended Previous Knowledge 
Solid school knowledge in mathematics and physics. 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
The students can

Skills 
The students can

Personal Competence  
Social Competence 
The students can work in groups and support each other to overcome difficulties. 
Autonomy 
Students are capable of determining their own strengths and weaknesses and to organize their time and learning based on those. 
Workload in Hours  Independent Study Time 110, Study Time in Lecture 70 
Credit points  6 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  90 min 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Core Qualification: Compulsory Civil and Environmental Engineering: Core Qualification: Compulsory Bioprocess Engineering: Core Qualification: Compulsory Data Science: Specialisation Mechanics: Compulsory Digital Mechanical Engineering: Core Qualification: Compulsory Electrical Engineering: Core Qualification: Elective Compulsory Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory Computational Science and Engineering: Specialisation II. Mathematics & Engineering Science: Elective Compulsory Logistics and Mobility: Core Qualification: Compulsory Mechanical Engineering: Core Qualification: Compulsory Mechatronics: Core Qualification: Compulsory Orientation Studies: Core Qualification: Elective Compulsory Naval Architecture: Core Qualification: Compulsory Technomathematics: Core Qualification: Compulsory Process Engineering: Core Qualification: Compulsory Engineering and Management  Major in Logistics and Mobility: Core Qualification: Compulsory 
Course L1001: Mechanics I (Statics) 
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 

Literature 
K. Magnus, H.H. MüllerSlany: Grundlagen der Technischen Mechanik. 7. Auflage, Teubner (2009). D. Gross, W. Hauger, J. Schröder, W. Wall: Technische Mechanik 1. 11. Auflage, Springer (2011). 
Course L1002: Mechanics I (Statics) 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Robert Seifried 
Language  DE 
Cycle  WiSe 
Content 
Forces and equilibrium Constraints and reactions Frames Center of mass Friction Internal forces and moments for beams 
Literature 
K. Magnus, H.H. MüllerSlany: Grundlagen der Technischen Mechanik. 7. Auflage, Teubner (2009). D. Gross, W. Hauger, J. Schröder, W. Wall: Technische Mechanik 1. 11. Auflage, Springer (2011). 
Course L1003: Mechanics I (Statics) 
Typ  Recitation Section (large) 
Hrs/wk  1 
CP  1 
Workload in Hours  Independent Study Time 16, Study Time in Lecture 14 
Lecturer  Prof. Robert Seifried 
Language  DE 
Cycle  WiSe 
Content 
Forces and equilibrium Constraints and reactions Frames Center of mass Friction Internal forces and moments for beams 
Literature 
K. Magnus, H.H. MüllerSlany: Grundlagen der Technischen Mechanik. 7. Auflage, Teubner (2009). D. Gross, W. Hauger, J. Schröder, W. Wall: Technische Mechanik 1. 11. Auflage, Springer (2011). 
Module M0718: Linear Algebra for Technomathematicians 

Courses  

Module Responsible  Prof. Sabine Le Borne 
Admission Requirements  None 
Recommended Previous Knowledge  High school mathematics 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
Students are able to
Students can furthermore explain the basic steps that arise in modelling and relate them to application scenarios. 
Skills 
Students are capable to

Personal Competence  
Social Competence 
Students are able to

Autonomy 
Students are capable

Workload in Hours  Independent Study Time 372, Study Time in Lecture 168 
Credit points  18 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  120 min 
Assignment for the Following Curricula 
Orientation Studies: Core Qualification: Elective Compulsory Technomathematics: Core Qualification: Compulsory 
Course L0587: Linear Algebra 1 for Technomathematicians 
Typ  Lecture 
Hrs/wk  4 
CP  5 
Workload in Hours  Independent Study Time 94, Study Time in Lecture 56 
Lecturer  Prof. Sabine Le Borne, Prof. Anusch Taraz 
Language  DE 
Cycle  WiSe 
Content 

Literature 

Course L0588: Linear Algebra 1 for Technomathematicians 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  4 
Workload in Hours  Independent Study Time 92, Study Time in Lecture 28 
Lecturer  Prof. Sabine Le Borne, Prof. Anusch Taraz 
Language  DE 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Course L0589: Linear Algebra 2 for Technomathematicians 
Typ  Lecture 
Hrs/wk  4 
CP  5 
Workload in Hours  Independent Study Time 94, Study Time in Lecture 56 
Lecturer  Prof. Sabine Le Borne, Prof. Anusch Taraz 
Language  DE 
Cycle  SoSe 
Content 

Literature  siehe Lineare Algebra 1 für Technomathematiker 
Course L0590: Linear Algebra 2 for Technomathematicians 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  4 
Workload in Hours  Independent Study Time 92, Study Time in Lecture 28 
Lecturer  Prof. Sabine Le Borne, Prof. Anusch Taraz 
Language  DE 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M0690: Analysis for Technomathematicians 

Courses  

Module Responsible  Prof. Marko Lindner 
Admission Requirements  None 
Recommended Previous Knowledge  High school mathematics 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
Students are able to
In particular, they are able to correctly define, explain and interrelate all these concepts and to sketch the main ideas in proofs of central theorems. Students can furthermore explain the basic steps that arise in modelling and relate them to application scenarios. 
Skills 
Students are able to

Personal Competence  
Social Competence  Students are able to solve specific problems in groups (e.g. in connection with their regular homework) and to present their results appropriately (e.g. during exercise class). 
Autonomy 
Students are able to

Workload in Hours  Independent Study Time 372, Study Time in Lecture 168 
Credit points  18 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  120 
Assignment for the Following Curricula 
Orientation Studies: Core Qualification: Elective Compulsory Technomathematics: Core Qualification: Compulsory 
Course L0483: Analysis I for Technomathematicians 
Typ  Lecture 
Hrs/wk  4 
CP  5 
Workload in Hours  Independent Study Time 94, Study Time in Lecture 56 
Lecturer  Prof. Marko Lindner, Prof. Sabine Le Borne, Prof. Matthias Schulte 
Language  DE 
Cycle  WiSe 
Content 

Literature 

Course L0484: Analysis I for Technomathematicians 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  4 
Workload in Hours  Independent Study Time 92, Study Time in Lecture 28 
Lecturer  Prof. Marko Lindner, Prof. Sabine Le Borne, Prof. Matthias Schulte 
Language  DE 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Course L0485: Analysis II for Technomathematicians 
Typ  Lecture 
Hrs/wk  4 
CP  5 
Workload in Hours  Independent Study Time 94, Study Time in Lecture 56 
Lecturer  Prof. Marko Lindner, Prof. Sabine Le Borne 
Language  DE 
Cycle  SoSe 
Content 

Literature 

Course L0486: Analysis II for Technomathematicians 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  4 
Workload in Hours  Independent Study Time 92, Study Time in Lecture 28 
Lecturer  Prof. Marko Lindner, Prof. Sabine Le Borne 
Language  DE 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M1519: Introduction to Electrical Engineering (Technomathematics) 

Courses  

Module Responsible  Prof. Christian Kautz 
Admission Requirements  None 
Recommended Previous Knowledge  
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge  
Skills  
Personal Competence  
Social Competence  
Autonomy  
Workload in Hours  Independent Study Time 110, Study Time in Lecture 70 
Credit points  6 
Course achievement  None 
Examination  Subject theoretical and practical work 
Examination duration and scale  online exercises, short presentation, presence exercise, short oral exam 
Assignment for the Following Curricula 
Technomathematics: Core Qualification: Compulsory 
Course L2292: Introduction to Electrical Engineering (Technomathematics) 
Typ  Lecture 
Hrs/wk  3 
CP  4 
Workload in Hours  Independent Study Time 78, Study Time in Lecture 42 
Lecturer  Prof. Christian Kautz 
Language  DE 
Cycle  SoSe 
Content  
Literature 
Course L2293: Introduction to Electrical Engineering (Technomathematics) 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Christian Kautz 
Language  DE 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M1432: Programming Paradigms 

Courses  

Module Responsible  NN 
Admission Requirements  None 
Recommended Previous Knowledge 
Lecture on procedural programming or equivalent programming skills 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
The students have a fundamental understanding of object orientated and generic programming and can apply it in small programming projects. The can design own class hierarchies and differentiate between different ways of inheritance. They have a fundamental understanding of polymorphism and can differentiate between runtime and compiletime polymorphism. The students know the concept of information hiding and can design interfaces with public and private methods. They can use exceptions and apply generic programming in order to make existing data structures generic. The students know the pros and cons of both programming paradigms. 
Skills 
Students can break down a mediumsized problem into subproblems and create their own classes in an objectoriented programming language based on these subproblems. They can design a public and private interface and implement the implementation generically and extensible by abstraction. They can distinguish different language constructs of a modern programming language and use these suitably in the implementation. They can design and implement unit tests. 
Personal Competence  
Social Competence 
Students can work in teams and communicate in forums. 
Autonomy 
In a programming internship, students learn objectoriented programming under supervision. In exercises they develop individual and independent solutions and receive feedback. 
Workload in Hours  Independent Study Time 110, Study Time in Lecture 70 
Credit points  6 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  90 min 
Assignment for the Following Curricula 
Computer Science: Core Qualification: Compulsory Data Science: Core Qualification: Compulsory Computational Science and Engineering: Core Qualification: Compulsory Technomathematics: Core Qualification: Compulsory 
Course L2169: Programming Paradigms 
Typ  Lecture 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Dozenten des SD E 
Language  DE/EN 
Cycle  SoSe 
Content 

Literature  Skript 
Course L2170: Programming Paradigms 
Typ  Recitation Section (large) 
Hrs/wk  1 
CP  1 
Workload in Hours  Independent Study Time 16, Study Time in Lecture 14 
Lecturer  Dozenten des SD E 
Language  DE/EN 
Cycle  SoSe 
Content 

Literature  Skript 
Course L2171: Programming Paradigms 
Typ  Practical Course 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Dozenten des SD E 
Language  DE/EN 
Cycle  SoSe 
Content 

Literature  Skript 
Module M1113: Proseminar Technomathematics 

Courses  

Module Responsible  Prof. Anusch Taraz 
Admission Requirements  None 
Recommended Previous Knowledge 
or

Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
Students acquire a deep understanding of the mathematical subject under consideration. 
Skills 
Students are able to

Personal Competence  
Social Competence 
Students are able to present their results in an appropriate way to the group. 
Autonomy 
Students are able to prepare a written scientific presentation on their own; in particular to

Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Credit points  2 
Course achievement  None 
Examination  Presentation 
Examination duration and scale  60 Minutes 
Assignment for the Following Curricula 
Technomathematics: Core Qualification: Compulsory 
Course L0919: Proseminar Mathematics 
Typ  Seminar 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Anusch Taraz, Prof. Sabine Le Borne, Prof. Marko Lindner, Dr. Christian Seifert, Prof. Heinrich Voß, Dozenten des Fachbereiches Mathematik der UHH, Dr. Mijail Guillemard, Dr. Julian Großmann, Dr. Haibo Ruan 
Language  DE 
Cycle 
WiSe/ 
Content 
Selected topics from the fields

Literature 
wird in der Lehrveranstaltung bekannt gegeben 
Module M1075: Numerical Mathematics 

Courses  

Module Responsible  Prof. Jens Struckmeier 
Admission Requirements  None 
Recommended Previous Knowledge 
Linear Algebra Analysis 
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 186, Study Time in Lecture 84 
Credit points  9 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  120 minutes 
Assignment for the Following Curricula 
Technomathematics: Core Qualification: Compulsory 
Course L1357: Numerical Mathematics 
Typ  Lecture 
Hrs/wk  4 
CP  6 
Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  WiSe 
Content 

Literature 

Course L1358: Numerical Mathematics 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M1085: Mathematical Stochastics 

Courses  

Module Responsible  Prof. Holger Drees 
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 186, Study Time in Lecture 84 
Credit points  9 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  120 minutes 
Assignment for the Following Curricula 
Technomathematics: Core Qualification: Compulsory 
Course L1392: Mathematical Stochastics 
Typ  Lecture 
Hrs/wk  4 
CP  6 
Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  WiSe 
Content 

Literature 

Course L1393: Mathematical Stochastics 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M1074: Higher Analysis 

Courses  

Module Responsible  Prof. Vicente Cortés 
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 186, Study Time in Lecture 84 
Credit points  9 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  120 minutes 
Assignment for the Following Curricula 
Technomathematics: Core Qualification: Compulsory 
Course L1355: Higher Analysis 
Typ  Lecture 
Hrs/wk  4 
CP  6 
Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  WiSe 
Content 

Literature 
a) Vektoranalysis  Differentialformen in Analysis, Geometrie und Physik
b) Analysis 3: Maß und Integrationstheorie, Integralsätze im IRn und Anwendungen (Aufbaukurs Mathematik)
c) Höhere Analysis,
d) Real and complex analysis
oder Real and complex analysis
e) An Introduction to Measure Theory (Graduate Studies in Mathematics)
f) Maß und Integrationstheorie
g) Maß und Integrationstheorie

Course L1356: Higher Analysis 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M0829: Foundations of Management 

Courses  

Module Responsible  Prof. Christoph Ihl 
Admission Requirements  None 
Recommended Previous Knowledge  Basic Knowledge of Mathematics and Business 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
After taking this module, students know the important basics of many different areas in Business and Management, from Planning and Organisation to Marketing and Innovation, and also to Investment and Controlling. In particular they are able to

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

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 
Course achievement  None 
Examination  Subject theoretical and practical work 
Examination duration and scale  several written exams during the semester 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Core Qualification: Compulsory Civil and Environmental Engineering: Specialisation Civil Engineering: Elective Compulsory Civil and Environmental Engineering: Specialisation Water and Environment: Elective Compulsory Civil and Environmental Engineering: Specialisation Traffic and Mobility: Elective Compulsory Bioprocess Engineering: Core Qualification: Compulsory Computer Science: Core Qualification: Compulsory Data Science: Core Qualification: Compulsory Electrical Engineering: Core Qualification: Compulsory Energy and Environmental Engineering: Core Qualification: Compulsory General Engineering Science (English program, 7 semester): Specialisation Electrical Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Civil Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Bioprocess Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Energy and Enviromental Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Computer Science: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Materials in Engineering Sciences: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Naval Architecture: Compulsory General Engineering Science (English program, 7 semester): Specialisation Process Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Compulsory Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory Computational Science and Engineering: Core Qualification: Compulsory Logistics and Mobility: Core Qualification: Compulsory Mechanical Engineering: Core Qualification: Compulsory Mechatronics: Core Qualification: Compulsory Orientation Studies: Core Qualification: Elective Compulsory Orientation Studies: Core Qualification: Elective Compulsory Naval Architecture: Core Qualification: Compulsory Technomathematics: Core Qualification: Compulsory Process Engineering: Core Qualification: Compulsory Engineering and Management  Major in Logistics and Mobility: Core Qualification: Compulsory 
Course L0882: Management Tutorial 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Prof. Christoph Ihl, Katharina Roedelius 
Language  DE 
Cycle 
WiSe/ 
Content 
In the management tutorial, the contents of the lecture will be deepened by practical examples and the application of the discussed tools. If there is adequate demand, a problemoriented tutorial will be offered in parallel, which students can choose alternatively. Here, students work in groups on selfselected projects that focus on the elaboration of an innovative business idea from the point of view of an established company or a startup. Again, the business knowledge from the lecture should come to practical use. The group projects are guided by a mentor. 
Literature  Relevante Literatur aus der korrespondierenden Vorlesung. 
Course L0880: Introduction to Management 
Typ  Lecture 
Hrs/wk  3 
CP  3 
Workload in Hours  Independent Study Time 48, Study Time in Lecture 42 
Lecturer  Prof. Christoph Ihl, Prof. Thorsten Blecker, Prof. Christian Lüthje, Prof. Christian Ringle, Prof. Kathrin Fischer, Prof. Cornelius Herstatt, Prof. Wolfgang Kersten, Prof. Matthias Meyer, Prof. Thomas Wrona 
Language  DE 
Cycle 
WiSe/ 
Content 

Literature 
Bamberg, G., Coenenberg, A.: Betriebswirtschaftliche Entscheidungslehre, 14. Aufl., München 2008 Eisenführ, F., Weber, M.: Rationales Entscheiden, 4. Aufl., Berlin et al. 2003 Heinhold, M.: Buchführung in Fallbeispielen, 10. Aufl., Stuttgart 2006. Kruschwitz, L.: Finanzmathematik. 3. Auflage, München 2001. Pellens, B., Fülbier, R. U., Gassen, J., Sellhorn, T.: Internationale Rechnungslegung, 7. Aufl., Stuttgart 2008. Schweitzer, M.: Planung und Steuerung, in: Bea/Friedl/Schweitzer: Allgemeine Betriebswirtschaftslehre, Bd. 2: Führung, 9. Aufl., Stuttgart 2005. Weber, J., Schäffer, U. : Einführung in das Controlling, 12. Auflage, Stuttgart 2008. Weber, J./Weißenberger, B.: Einführung in das Rechnungswesen, 7. Auflage, Stuttgart 2006. 
Module M1114: Seminar Technomathematics 

Courses  

Module Responsible  Prof. Anusch Taraz  
Admission Requirements  None  
Recommended Previous Knowledge 
or


Educational Objectives  After taking part successfully, students have reached the following learning results  
Professional Competence  
Knowledge 
Students acquire a deep understanding of the mathematical subject under consideration. 

Skills 
Students are able to


Personal Competence  
Social Competence 
Students are able to present their results in an appropriate way to the group. 

Autonomy 
Students are able to prepare a written scientific report on their own; in particular to


Workload in Hours  Independent Study Time 92, Study Time in Lecture 28  
Credit points  4  
Course achievement 


Examination  Presentation  
Examination duration and scale  60 Minutes  
Assignment for the Following Curricula 
Technomathematics: Core Qualification: Compulsory 
Course L0920: Seminar: Technomathematics 
Typ  Seminar 
Hrs/wk  2 
CP  4 
Workload in Hours  Independent Study Time 92, Study Time in Lecture 28 
Lecturer  Dr. Christian Seifert, Dozenten des Fachbereiches Mathematik der UHH, Dozenten der Mathematik 
Language  DE/EN 
Cycle 
WiSe/ 
Content 
Selected topics from the fields

Literature  wird in der Lehrveranstaltung bekannt gegeben 
Specialization I. Mathematics
Module M1429: Complex Functions 

Courses  

Module Responsible  Prof. Timo Reis 
Admission Requirements  None 
Recommended Previous Knowledge  Analysis, Higher Analysis, Linear Algebra 
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 34, Study Time in Lecture 56 
Credit points  3 
Course achievement  None 
Examination  Oral exam 
Examination duration and scale  30 min 
Assignment for the Following Curricula 
Technomathematics: Specialisation I. Mathematics: Elective Compulsory 
Course L1038: Complex Functions 
Typ  Lecture 
Hrs/wk  2 
CP  1 
Workload in Hours  Independent Study Time 2, Study Time in Lecture 28 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE 
Cycle  SoSe 
Content 
Main features of complex analysis

Literature 

Course L1042: Complex Functions 
Typ  Recitation Section (large) 
Hrs/wk  1 
CP  1 
Workload in Hours  Independent Study Time 16, Study Time in Lecture 14 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Course L1041: Complex Functions 
Typ  Recitation Section (small) 
Hrs/wk  1 
CP  1 
Workload in Hours  Independent Study Time 16, Study Time in Lecture 14 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M1052: Algebra 

Courses  

Module Responsible  Prof. Christoph Schweigert 
Admission Requirements  None 
Recommended Previous Knowledge 
Linear Algebra 
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 186, Study Time in Lecture 84 
Credit points  9 
Course achievement  None 
Examination  Oral exam 
Examination duration and scale  30 min 
Assignment for the Following Curricula 
Technomathematics: Specialisation I. Mathematics: Elective Compulsory 
Course L1317: Algebra 
Typ  Lecture 
Hrs/wk  4 
CP  6 
Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  SoSe 
Content  
Literature 

Course L1318: Algebra 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M0715: Solvers for Sparse Linear Systems 

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 can

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 
Course achievement  None 
Examination  Oral exam 
Examination duration and scale  20 min 
Assignment for the Following Curricula 
Computer Science: Specialisation Computational Mathematics: Elective Compulsory Computer Science: Specialisation II. Mathematics and Engineering Science: Elective Compulsory Computer Science: Specialisation II. Mathematics and Engineering Science: Elective Compulsory Data Science: Core Qualification: Elective Compulsory Computational Science and Engineering: Specialisation II. Mathematics & Engineering Science: Elective Compulsory Technomathematics: Specialisation I. Mathematics: Elective Compulsory 
Course L0583: Solvers for Sparse Linear Systems 
Typ  Lecture 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Prof. Sabine Le Borne 
Language  EN 
Cycle  SoSe 
Content 

Literature 

Course L0584: Solvers for Sparse Linear Systems 
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  EN 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M1056: Functional Analysis 

Courses  

Module Responsible  Prof. Reiner Lauterbach 
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 186, Study Time in Lecture 84 
Credit points  9 
Course achievement  None 
Examination  Oral exam 
Examination duration and scale  30 min 
Assignment for the Following Curricula 
Technomathematics: Specialisation I. Mathematics: Elective Compulsory 
Course L1327: Functional Analysis 
Typ  Lecture 
Hrs/wk  4 
CP  6 
Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  SoSe 
Content 

Literature 

Course L1328: Functional Analysis 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M0692: Approximation and Stability 

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 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  
Course achievement 


Examination  Oral exam  
Examination duration and scale  20 min  
Assignment for the Following Curricula 
Electrical Engineering: Specialisation Control and Power Systems Engineering: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory Technomathematics: Specialisation I. Mathematics: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory 
Course L0487: Approximation and Stability 
Typ  Lecture 
Hrs/wk  3 
CP  4 
Workload in Hours  Independent Study Time 78, Study Time in Lecture 42 
Lecturer  Prof. Marko Lindner 
Language  DE/EN 
Cycle  SoSe 
Content 
This course is about solving the following basic problems of Linear Algebra,
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 L0488: Approximation and Stability 
Typ  Recitation Section (small) 
Hrs/wk  1 
CP  2 
Workload in Hours  Independent Study Time 46, Study Time in Lecture 14 
Lecturer  Prof. Marko Lindner 
Language  DE/EN 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M1062: Mathematical Statistics 

Courses  

Module Responsible  Prof. Natalie Neumeyer 
Admission Requirements  None 
Recommended Previous Knowledge 
Mathematical Stochastics Measure Theory and Stochastics 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 

Skills 

Personal Competence  
Social Competence 

Autonomy 

Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Credit points  6 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  120 minutes 
Assignment for the Following Curricula 
General Engineering Science (English program, 7 semester): Specialisation Computer Science: Elective Compulsory Technomathematics: Specialisation I. Mathematics: Elective Compulsory 
Course L1339: Mathematical Statistics 
Typ  Lecture 
Hrs/wk  3 
CP  4 
Workload in Hours  Independent Study Time 78, Study Time in Lecture 42 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  SoSe 
Content 

Literature 

Course L1340: Mathematical Statistics 
Typ  Recitation Section (small) 
Hrs/wk  1 
CP  2 
Workload in Hours  Independent Study Time 46, Study Time in Lecture 14 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M1079: Differential Geometry 

Courses  

Module Responsible  Prof. Vicente Cortés 
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 186, Study Time in Lecture 84 
Credit points  9 
Course achievement  None 
Examination  Oral exam 
Examination duration and scale  30 min 
Assignment for the Following Curricula 
Technomathematics: Specialisation I. Mathematics: Elective Compulsory 
Course L1365: Differential Geometry 
Typ  Lecture 
Hrs/wk  4 
CP  6 
Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  SoSe 
Content 

Literature 
Manfredo Perdigão do Carmo: Riemannian geometry, Birkhäuser, 1992. 
Course L1366: Differential Geometry 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M1080: Ordinary Differential Equations and Dynamical Systems 

Courses  

Module Responsible  Prof. Reiner Lauterbach 
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 186, Study Time in Lecture 84 
Credit points  9 
Course achievement  None 
Examination  Oral exam 
Examination duration and scale  30 min 
Assignment for the Following Curricula 
Technomathematics: Specialisation I. Mathematics: Elective Compulsory 
Course L1367: Ordinary Differential Equations and Dynamical Systems 
Typ  Lecture 
Hrs/wk  4 
CP  6 
Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  SoSe 
Content 

Literature 

Course L1368: Ordinary Differential Equations and Dynamical Systems 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M1060: Optimization 

Courses  

Module Responsible  Prof. Armin Iske 
Admission Requirements  None 
Recommended Previous Knowledge 
Linear Algebra Analysis 
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 186, Study Time in Lecture 84 
Credit points  9 
Course achievement  None 
Examination  Oral exam 
Examination duration and scale  30 min 
Assignment for the Following Curricula 
Technomathematics: Specialisation I. Mathematics: Elective Compulsory 
Course L1333: Optimization 
Typ  Lecture 
Hrs/wk  4 
CP  6 
Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  SoSe 
Content 

Literature 

Course L1334: Optimization 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M0852: Graph Theory and Optimization 

Courses  

Module Responsible  Prof. Anusch Taraz 
Admission Requirements  None 
Recommended Previous Knowledge 

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

Skills 

Personal Competence  
Social Competence 

Autonomy 

Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Credit points  6 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  120 min 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Computer Science: Compulsory Computer Science: Core Qualification: Compulsory Data Science: Core Qualification: Compulsory Logistics and Mobility: Specialisation Engineering Science: Elective Compulsory Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Technomathematics: Specialisation I. Mathematics: Elective Compulsory Engineering and Management  Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Engineering and Management  Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory 
Course L1046: Graph Theory and Optimization 
Typ  Lecture 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Prof. Anusch Taraz 
Language  DE/EN 
Cycle  SoSe 
Content 

Literature 

Course L1047: Graph Theory and Optimization 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Prof. Anusch Taraz 
Language  DE/EN 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M1061: Measure Theory and Stochastics 

Courses  

Module Responsible  Prof. Holger Drees 
Admission Requirements  None 
Recommended Previous Knowledge 
Mathematical Stochastics 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 

Skills 

Personal Competence  
Social Competence 

Autonomy 

Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Credit points  6 
Course achievement  None 
Examination  Oral exam 
Examination duration and scale  30 min 
Assignment for the Following Curricula 
Technomathematics: Specialisation I. Mathematics: Elective Compulsory 
Course L1335: Measure Theory and Stochastics 
Typ  Lecture 
Hrs/wk  3 
CP  4 
Workload in Hours  Independent Study Time 78, Study Time in Lecture 42 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  SoSe 
Content 

Literature 

Course L1338: Measure Theory and Stochastics 
Typ  Recitation Section (small) 
Hrs/wk  1 
CP  2 
Workload in Hours  Independent Study Time 46, Study Time in Lecture 14 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M0714: Numerical Treatment of Ordinary Differential Equations 

Courses  

Module Responsible  Prof. Daniel Ruprecht 
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 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  90 min 
Assignment for the Following Curricula 
Bioprocess Engineering: Specialisation A  General Bioprocess Engineering: Elective Compulsory Chemical and Bioprocess Engineering: Specialisation Chemical Process Engineering: Elective Compulsory Chemical and Bioprocess Engineering: Specialisation General Process Engineering: Elective Compulsory Computer Science: Specialisation III. Mathematics: Elective Compulsory Electrical Engineering: Specialisation Control and Power Systems Engineering: Elective Compulsory Energy Systems: Core Qualification: Elective Compulsory Aircraft Systems Engineering: Core Qualification: Elective Compulsory Interdisciplinary Mathematics: Specialisation II. Numerical  Modelling Training: Compulsory 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  Prof. Daniel Ruprecht 
Language  DE/EN 
Cycle  SoSe 
Content 
Numerical methods for Initial Value Problems
Numerical methods for Boundary Value Problems

Literature 

Course L0582: Numerical Treatment of Ordinary Differential Equations 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Prof. Daniel Ruprecht 
Language  DE/EN 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M1083: Discrete Mathematics 

Courses  

Module Responsible  Prof. Matthias Schacht 
Admission Requirements  None 
Recommended Previous Knowledge 
Linear Algebra Geometry Analysis 
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 186, Study Time in Lecture 84 
Credit points  9 
Course achievement  None 
Examination  Oral exam 
Examination duration and scale  30 min 
Assignment for the Following Curricula 
Technomathematics: Specialisation I. Mathematics: Elective Compulsory 
Course L1379: Discrete Mathematics 
Typ  Lecture 
Hrs/wk  4 
CP  6 
Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  SoSe 
Content 

Literature 

Course L1380: Discrete Mathematics 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M0716: Hierarchical Algorithms 

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 
Course achievement  None 
Examination  Oral exam 
Examination duration and scale  20 min 
Assignment for the Following Curricula 
Computer Science: Specialisation III. Mathematics: Elective Compulsory Technomathematics: Specialisation I. Mathematics: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory 
Course L0585: Hierarchical Algorithms 
Typ  Lecture 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Prof. Sabine Le Borne 
Language  DE/EN 
Cycle  WiSe 
Content 

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 

Courses  

Module Responsible  Prof. Daniel Ruprecht 
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 
Course achievement  None 
Examination  Oral exam 
Examination duration and scale  25 min 
Assignment for the Following Curricula 
Computer Science: Specialisation III. Mathematics: Elective Compulsory Technomathematics: Specialisation I. Mathematics: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory 
Course L1247: Numerics of Partial Differential Equations 
Typ  Lecture 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Prof. Daniel Ruprecht 
Language  DE/EN 
Cycle  WiSe 
Content 
Elementary Theory and Numerics of PDEs

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. Daniel Ruprecht 
Language  DE/EN 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M0881: Mathematical Image Processing 

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 
Course achievement  None 
Examination  Oral exam 
Examination duration and scale  20 min 
Assignment for the Following Curricula 
Bioprocess Engineering: Specialisation A  General Bioprocess Engineering: Elective Compulsory Computer Science: Specialisation III. Mathematics: Elective Compulsory Computational Science and Engineering: Specialisation III. Mathematics: Elective Compulsory Interdisciplinary Mathematics: Specialisation Computational Methods in Biomedical Imaging: Compulsory Mechatronics: Technical Complementary Course: Elective Compulsory Mechatronics: Specialisation System Design: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory Technomathematics: Specialisation I. Mathematics: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory Process Engineering: Specialisation Process Engineering: Elective Compulsory 
Course L0991: Mathematical Image Processing 
Typ  Lecture 
Hrs/wk  3 
CP  4 
Workload in Hours  Independent Study Time 78, Study Time in Lecture 42 
Lecturer  Prof. Marko Lindner 
Language  DE/EN 
Cycle  WiSe 
Content 

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 M1063: Stochastic Processes 

Courses  

Module Responsible  Prof. Holger Drees 
Admission Requirements  None 
Recommended Previous Knowledge 
Mathematical Stochastics Measure Theory and Stochastics 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 

Skills 

Personal Competence  
Social Competence 

Autonomy 

Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Credit points  6 
Course achievement  None 
Examination  Oral exam 
Examination duration and scale  30 min 
Assignment for the Following Curricula 
Technomathematics: Specialisation I. Mathematics: Elective Compulsory 
Course L1343: Stochastic Processes 
Typ  Lecture 
Hrs/wk  3 
CP  4 
Workload in Hours  Independent Study Time 78, Study Time in Lecture 42 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  WiSe 
Content 

Literature 

Course L1344: Stochastic Processes 
Typ  Recitation Section (small) 
Hrs/wk  1 
CP  2 
Workload in Hours  Independent Study Time 46, Study Time in Lecture 14 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M1552: Mathematics of Neural Networks 

Courses  

Module Responsible  Dr. JensPeter 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 name, state and classify stateoftheart neural networks and their corresponding mathematical basics. They can assess the difficulties of different neural networks. 
Skills  Students are able to implement, understand, and, tailored to the field of application, apply neural networks. 
Personal Competence  
Social Competence 
Students can

Autonomy 
Students are able to

Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Credit points  6 
Course achievement  None 
Examination  Oral exam 
Examination duration and scale  25 min 
Assignment for the Following Curricula 
Computer Science: Specialisation III. Mathematics: Elective Compulsory Computational Science and Engineering: Specialisation III. Mathematics: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory Mechatronics: Technical Complementary Course: Elective Compulsory Technomathematics: Specialisation I. Mathematics: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory 
Course L2322: Mathematics of Neural Networks 
Typ  Lecture 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Dr. JensPeter Zemke 
Language  DE/EN 
Cycle  WiSe 
Content 

Literature 

Course L2323: Mathematics of Neural Networks 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Dr. JensPeter Zemke 
Language  DE/EN 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M1059: Approximation 

Courses  

Module Responsible  Prof. Armin Iske 
Admission Requirements  None 
Recommended Previous Knowledge 
Linear Algebra Analysis Introduction to Numerical Analysis 
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 186, Study Time in Lecture 84 
Credit points  9 
Course achievement  None 
Examination  Oral exam 
Examination duration and scale  30 min 
Assignment for the Following Curricula 
Technomathematics: Specialisation I. Mathematics: Elective Compulsory 
Course L1331: Approximation 
Typ  Lecture 
Hrs/wk  4 
CP  6 
Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  WiSe 
Content 

Literature 

Course L1332: Approximation 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M1058: Introduction to Mathematical Modeling 

Courses  

Module Responsible  Prof. Ingenuin Gasser 
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 186, Study Time in Lecture 84 
Credit points  9 
Course achievement  None 
Examination  Oral exam 
Examination duration and scale  30 min 
Assignment for the Following Curricula 
Technomathematics: Specialisation I. Mathematics: Elective Compulsory 
Course L1329: Introduction in Mathematical Modeling 
Typ  Lecture 
Hrs/wk  4 
CP  6 
Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  WiSe 
Content 

Literature 

Course L1330: Introduction in Mathematical Modeling 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M1078: Geometry 

Courses  

Module Responsible  Prof. Alexander Kreuzer 
Admission Requirements  None 
Recommended Previous Knowledge 
Linear Algebra 
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 186, Study Time in Lecture 84 
Credit points  9 
Course achievement  None 
Examination  Oral exam 
Examination duration and scale  30 min 
Assignment for the Following Curricula 
Technomathematics: Specialisation I. Mathematics: Elective Compulsory 
Course L1363: Geometry 
Typ  Lecture 
Hrs/wk  4 
CP  6 
Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  WiSe 
Content 

Literature 

Course L1364: Geometry 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M1129: Mathematical Systems Theory 

Courses  

Module Responsible  Prof. Timo Reis 
Admission Requirements  None 
Recommended Previous Knowledge  Analysis, Higher Analysis, Functional Analysis 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 

Skills 

Personal Competence  
Social Competence 

Autonomy 

Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Credit points  6 
Course achievement  None 
Examination  Oral exam 
Examination duration and scale  30 min 
Assignment for the Following Curricula 
Technomathematics: Specialisation I. Mathematics: Elective Compulsory 
Course L1463: Mathematical Systems Theory 
Typ  Lecture 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  EN 
Cycle  WiSe 
Content 
Systems Theory treats the mathematical background and foundations of the engineering discipline 'Cybernetics'. Thereby one wants to exert influence on a dynamical system (which is usually given by an ordinary differential equation (ODE)), such that a desired behavior is achieved.

Literature 

Course L1465: Mathematical Systems Theory 
Typ  Seminar 
Hrs/wk  1 
CP  2 
Workload in Hours  Independent Study Time 46, Study Time in Lecture 14 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  EN 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Course L1464: Mathematical Systems Theory 
Typ  Recitation Section (small) 
Hrs/wk  1 
CP  1 
Workload in Hours  Independent Study Time 16, Study Time in Lecture 14 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  EN 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M0941: Combinatorial Structures and Algorithms 

Courses  

Module Responsible  Prof. Anusch Taraz 
Admission Requirements  None 
Recommended Previous Knowledge 

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

Skills 

Personal Competence  
Social Competence 

Autonomy 

Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Credit points  6 
Course achievement  None 
Examination  Oral exam 
Examination duration and scale  30 min 
Assignment for the Following Curricula 
Computer Science: Specialisation Computer and Software Engineering: Elective Compulsory Computer Science: Specialisation Computational Mathematics: Elective Compulsory Computer Science: Specialisation II. Mathematics and Engineering Science: Elective Compulsory Data Science: Core Qualification: Elective Compulsory Computational Science and Engineering: Specialisation II. Mathematics & Engineering Science: Elective Compulsory Technomathematics: Specialisation I. Mathematics: Elective Compulsory 
Course L1100: Combinatorial Structures and Algorithms 
Typ  Lecture 
Hrs/wk  3 
CP  4 
Workload in Hours  Independent Study Time 78, Study Time in Lecture 42 
Lecturer  Prof. Anusch Taraz, Dr. Dennis Clemens 
Language  DE/EN 
Cycle  WiSe 
Content 

Literature 

Course L1101: Combinatorial Structures and Algorithms 
Typ  Recitation Section (small) 
Hrs/wk  1 
CP  2 
Workload in Hours  Independent Study Time 46, Study Time in Lecture 14 
Lecturer  Prof. Anusch Taraz 
Language  DE/EN 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M1055: Complex Analysis 

Courses  

Module Responsible  Prof. Bernd Siebert 
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 186, Study Time in Lecture 84 
Credit points  9 
Course achievement  None 
Examination  Oral exam 
Examination duration and scale  30 min 
Assignment for the Following Curricula 
Technomathematics: Specialisation I. Mathematics: Elective Compulsory 
Course L1325: Complex Analysis 
Typ  Lecture 
Hrs/wk  4 
CP  6 
Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  WiSe 
Content 

Literature 

Course L1326: Complex Analysis 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M1050: Graph Theory 

Courses  

Module Responsible  Prof. Reinhard Diestel 
Admission Requirements  None 
Recommended Previous Knowledge  Linear Algebra 
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 186, Study Time in Lecture 84 
Credit points  9 
Course achievement  None 
Examination  Oral exam 
Examination duration and scale  30 min 
Assignment for the Following Curricula 
Technomathematics: Specialisation I. Mathematics: Elective Compulsory 
Course L1311: Graph Theory 
Typ  Lecture 
Hrs/wk  4 
CP  6 
Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  WiSe 
Content 
Fundamentals of Graph Theory, important invariants and their relations

Literature 

Course L1314: Graph Theory 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M1051: Combinatorial Optimization 

Courses  

Module Responsible  Prof. Matthias Schacht 
Admission Requirements  None 
Recommended Previous Knowledge 
Linear Algebra, Discrete Mathematics 
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 186, Study Time in Lecture 84 
Credit points  9 
Course achievement  None 
Examination  Oral exam 
Examination duration and scale  30 min 
Assignment for the Following Curricula 
Technomathematics: Specialisation I. Mathematics: Elective Compulsory 
Course L1315: Combinatorial Optimization 
Typ  Lecture 
Hrs/wk  4 
CP  6 
Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle 
WiSe/ 
Content 
Introduction to combinatorial optimization

Literature 

Course L1316: Combinatorial Optimization 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle 
WiSe/ 
Content  See interlocking course 
Literature  See interlocking course 
Module M0720: Matrix Algorithms 

Courses  

Module Responsible  Dr. JensPeter 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 
Course achievement  None 
Examination  Oral exam 
Examination duration and scale  25 min 
Assignment for the Following Curricula 
Technomathematics: Specialisation I. Mathematics: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory 
Course L0984: Matrix Algorithms 
Typ  Lecture 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Dr. JensPeter Zemke 
Language  DE/EN 
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. JensPeter Zemke 
Language  DE/EN 
Cycle  WiSe 
Content  
Literature  Siehe korrespondierende Vorlesung 
Module M0711: Numerical Mathematics II 

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 
Course achievement  None 
Examination  Oral exam 
Examination duration and scale  25 min 
Assignment for the Following Curricula 
Computer Science: Specialisation III. Mathematics: Elective Compulsory Computational Science and Engineering: Specialisation III. Mathematics: Elective Compulsory Technomathematics: Specialisation I. Mathematics: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory Theoretical Mechanical Engineering: Core Qualification: Elective Compulsory 
Course L0568: Numerical Mathematics II 
Typ  Lecture 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Prof. Sabine Le Borne, Dr. JensPeter Zemke 
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  Prof. Sabine Le Borne, Dr. JensPeter Zemke 
Language  DE/EN 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M1053: Introductory Number Theory 

Courses  

Module Responsible  Prof. Ulf Kühn 
Admission Requirements  None 
Recommended Previous Knowledge 
Linear Algebra 
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 186, Study Time in Lecture 84 
Credit points  9 
Course achievement  None 
Examination  Oral exam 
Examination duration and scale  30 min 
Assignment for the Following Curricula 
Technomathematics: Specialisation I. Mathematics: Elective Compulsory 
Course L1319: Number Theory 
Typ  Lecture 
Hrs/wk  4 
CP  6 
Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle 
WiSe/ 
Content 

Literature 

Course L1320: Number Theory 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle 
WiSe/ 
Content  See interlocking course 
Literature  See interlocking course 
Module M1086: Practical Statistics 

Courses  

Module Responsible  Prof. Natalie Neumeyer 
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 108, Study Time in Lecture 42 
Credit points  5 
Course achievement  None 
Examination  Oral exam 
Examination duration and scale  30 min 
Assignment for the Following Curricula 
Technomathematics: Specialisation I. Mathematics: Elective Compulsory 
Course L1394: Practical Statistics 
Typ  Lecture 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle 
WiSe/ 
Content 

Literature 

Course L1395: Practical Statistics 
Typ  Recitation Section (small) 
Hrs/wk  1 
CP  2 
Workload in Hours  Independent Study Time 46, Study Time in Lecture 14 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle 
WiSe/ 
Content  See interlocking course 
Literature  See interlocking course 
Module M1054: Topology 

Courses  

Module Responsible  Prof. Birgit Richter 
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 186, Study Time in Lecture 84 
Credit points  9 
Course achievement  None 
Examination  Oral exam 
Examination duration and scale  30 min 
Assignment for the Following Curricula 
Technomathematics: Specialisation I. Mathematics: Elective Compulsory 
Course L1322: Topology 
Typ  Lecture 
Hrs/wk  4 
CP  6 
Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  SoSe 
Content 

Literature 

Course L1323: Topology 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M1556: Set Theory and Mathematical Logic 

Courses  

Module Responsible  Prof. Benedikt Loewe 
Admission Requirements  None 
Recommended Previous Knowledge 
Linear Algebra 
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 186, Study Time in Lecture 84 
Credit points  9 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  120 min 
Assignment for the Following Curricula 
Technomathematics: Specialisation I. Mathematics: Elective Compulsory 
Course L2332: Set Theory and Mathematical Logic 
Typ  Lecture 
Hrs/wk  4 
CP  6 
Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  SoSe 
Content 

Literature 
HeinzDieter Ebbinghaus, Einführung in die Mengenlehre. 
Course L2333: Set Theory and Mathematical Logic 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Dozenten des Fachbereiches Mathematik der UHH 
Language  DE/EN 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M1668: Probability Theory 

Courses  

Module Responsible  Prof. Matthias Schulte 
Admission Requirements  None 
Recommended Previous Knowledge 
Familiarity with the basic concepts of probability 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 

Skills 

Personal Competence  
Social Competence 

Autonomy 

Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Credit points  6 
Course achievement  None 
Examination  Oral exam 
Examination duration and scale  30 min 
Assignment for the Following Curricula 
Computer Science: Specialisation III. Mathematics: Elective Compulsory Interdisciplinary Mathematics: Specialisation II. Numerical  Modelling Training: Compulsory Technomathematics: Specialisation I. Mathematics: Elective Compulsory 
Course L2643: Probability Theory 
Typ  Lecture 
Hrs/wk  3 
CP  4 
Workload in Hours  Independent Study Time 78, Study Time in Lecture 42 
Lecturer  Prof. Matthias Schulte 
Language  EN 
Cycle  SoSe 
Content 

Literature 
H. Bauer, Probability theory and elements of measure theory, second edition, Academic Press, 1981. A. Klenke, Probability Theory: A Comprehensive Course, second edition, Springer, 2014. G. F. Lawler, Introduction to Stochastic Processes, second edition, Chapman & Hall/CRC, 2006. A. N. Shiryaev, Probability, second edition, Springer, 1996. 
Course L2644: Probability Theory 
Typ  Recitation Section (small) 
Hrs/wk  1 
CP  2 
Workload in Hours  Independent Study Time 46, Study Time in Lecture 14 
Lecturer  Prof. Matthias Schulte 
Language  EN 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Specialization II. Informatics
Module M0732: Software Engineering 

Courses  

Module Responsible  Prof. Sibylle Schupp  
Admission Requirements  None  
Recommended Previous Knowledge 


Educational Objectives  After taking part successfully, students have reached the following learning results  
Professional Competence  
Knowledge 
Students explain the phases of the software life cycle, describe the fundamental terminology and concepts of software engineering, and paraphrase the principles of structured software development. They give examples of softwareengineering tasks of existing largescale systems. They write test cases for different test strategies and devise specifications or models using different notations, and critique both. They explain simple design patterns and the major activities in requirements analysis, maintenance, and project planning. 

Skills 
For a given task in the software life cycle, students identify the corresponding phase and select an appropriate method. They choose the proper approach for quality assurance. They design tests for realistic systems, assess the quality of the tests, and find errors at different levels. They apply and modify nonexecutable artifacts. They integrate components based on interface specifications. 

Personal Competence  
Social Competence 
Students practice peer programming. They explain problems and solutions to their peer. They communicate in English. 

Autonomy 
Using online quizzes and accompanying material for self study, students can assess their level of knowledge continuously and adjust it appropriately. Working on exercise problems, they receive additional feedback. 

Workload in Hours  Independent Study Time 124, Study Time in Lecture 56  
Credit points  6  
Course achievement 


Examination  Written exam  
Examination duration and scale  90 min  
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Computer Science: Elective Compulsory Computer Science: Core Qualification: Compulsory General Engineering Science (English program, 7 semester): Specialisation Computer Science: Elective Compulsory Computational Science and Engineering: Specialisation I. Computer Science: Elective Compulsory Technomathematics: Specialisation II. Informatics: Elective Compulsory 
Course L0627: Software Engineering 
Typ  Lecture 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Prof. Sibylle Schupp 
Language  EN 
Cycle  SoSe 
Content 

Literature 
Kassem A. Saleh, Software Engineering, J. Ross Publishing 2009. 
Course L0628: Software Engineering 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Prof. Sibylle Schupp 
Language  EN 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M0624: Automata Theory and Formal Languages 

Courses  

Module Responsible  Prof. Tobias Knopp 
Admission Requirements  None 
Recommended Previous Knowledge 
Participating students should be able to  specify algorithms for simple data structures (such as, e.g., arrays) to solve computational problems  apply propositional logic and predicate logic for specifying and understanding mathematical proofs  apply the knowledge and skills taught in the module Discrete Algebraic Structures 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
Students can explain syntax, semantics, and decision problems of propositional logic, and they are able to give algorithms for solving decision problems. Students can show correspondences to Boolean algebra. Students can describe which application problems are hard to represent with propositional logic, and therefore, the students can motivate predicate logic, and define syntax, semantics, and decision problems for this representation formalism. Students can explain unification and resolution for solving the predicate logic SAT decision problem. Students can also describe syntax, semantics, and decision problems for various kinds of temporal logic, and identify their application areas. The participants of the course can define various kinds of finite automata and can identify relationships to logic and formal grammars. The spectrum that students can explain ranges from deterministic and nondeterministic finite automata and pushdown automata to Turing machines. Students can name those formalism for which nondeterminism is more expressive than determinism. They are also able to demonstrate which decision problems require which expressivity, and, in addition, students can transform decision problems w.r.t. one formalism into decision problems w.r.t. other formalisms. They understand that some formalisms easily induce algorithms whereas others are best suited for specifying systems and their properties. Students can describe the relationships between formalisms such as logic, automata, or grammars. 
Skills 
Students can apply propositional logic as well as predicate logic resolution to a given set of formulas. Students analyze application problems in order to derive propositional logic, predicate logic, or temporal logic formulas to represent them. They can evaluate which formalism is best suited for a particular application problem, and they can demonstrate the application of algorithms for decision problems to specific formulas. Students can also transform nondeterministic automata into deterministic ones, or derive grammars from automata and vice versa. They can show how parsers work, and they can apply algorithms for the language emptiness problem in case of infinite words. 
Personal Competence  
Social Competence  
Autonomy  
Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Credit points  6 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  90 min 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Computer Science: Compulsory Computer Science: Core Qualification: Compulsory Data Science: Core Qualification: Compulsory Engineering Science: Specialisation Mechatronics: Elective Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechatronics: Elective Compulsory Computational Science and Engineering: Core Qualification: Compulsory Orientation Studies: Core Qualification: Elective Compulsory Technomathematics: Specialisation II. Informatics: Elective Compulsory 
Course L0332: Automata Theory and Formal Languages 
Typ  Lecture 
Hrs/wk  2 
CP  4 
Workload in Hours  Independent Study Time 92, Study Time in Lecture 28 
Lecturer  Prof. Tobias Knopp 
Language  EN 
Cycle  SoSe 
Content 

Literature 

Course L0507: Automata Theory and Formal Languages 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Tobias Knopp 
Language  EN 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M1586: Scientific Programming 

Courses  

Module Responsible  Prof. Tobias Knopp 
Admission Requirements  None 
Recommended Previous Knowledge  procedural programming, linear algebra 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
The students

Skills 
Students are able

Personal Competence  
Social Competence 
Students can work on complex problems both independently and in teams. They can exchange ideas with each other and use their individual strengths to solve the problem. 
Autonomy 
Students are able to independently investigate a complex problem and assess which competencies are required to solve it. 
Workload in Hours  Independent Study Time 110, Study Time in Lecture 70 
Credit points  6 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  90 min 
Assignment for the Following Curricula 
Computer Science: Specialisation I. Computer and Software Engineering: Elective Compulsory Data Science: Core Qualification: Compulsory Technomathematics: Specialisation II. Informatics: Elective Compulsory 
Course L2405: Scientific Programming 
Typ  Lecture 
Hrs/wk  3 
CP  4 
Workload in Hours  Independent Study Time 78, Study Time in Lecture 42 
Lecturer  Prof. Tobias Knopp 
Language  DE/EN 
Cycle  SoSe 
Content 

Literature 
Ben Lauwens, Allen Downey: Think Julia: How to Think Like a Computer Scientist 
Course L2406: Scientific Programming 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Tobias Knopp 
Language  DE/EN 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M0730: Computer Engineering 

Courses  

Module Responsible  Prof. Heiko Falk  
Admission Requirements  None  
Recommended Previous Knowledge 
Basic knowledge in electrical engineering 

Educational Objectives  After taking part successfully, students have reached the following learning results  
Professional Competence  
Knowledge 
This module deals with the foundations of the functionality of computing systems. It covers the layers from the assemblylevel programming down to gates. The module includes the following topics:


Skills 
The students perceive computer systems from the architect's perspective, i.e., they identify the internal structure and the physical composition of computer systems. The students can analyze, how highly specific and individual computers can be built based on a collection of few and simple components. They are able to distinguish between and to explain the different abstraction layers of today's computing systems  from gates and circuits up to complete processors. After successful completion of the module, the students are able to judge the interdependencies between a physical computer system and the software executed on it. In particular, they shall understand the consequences that the execution of software has on the hardwarecentric abstraction layers from the assembly language down to gates. This way, they will be enabled to evaluate the impact that these low abstraction levels have on an entire system's performance and to propose feasible options. 

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

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

Workload in Hours  Independent Study Time 124, Study Time in Lecture 56  
Credit points  6  
Course achievement 


Examination  Written exam  
Examination duration and scale  90 minutes, contents of course and labs  
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Computer Science: Compulsory General Engineering Science (German program, 7 semester): Specialisation Civil Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Process Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Materials in Engineering Sciences: Compulsory General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Compulsory General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Compulsory General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory General Engineering Science (German program, 7 semester): Specialisation Naval Architecture: Compulsory General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Bioprocess Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Renewable Energy: Elective Compulsory Computer Science: Core Qualification: Compulsory Data Science: Core Qualification: Elective Compulsory Electrical Engineering: Core Qualification: Compulsory General Engineering Science (English program, 7 semester): Specialisation Civil Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Materials in Engineering Sciences: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Compulsory Computational Science and Engineering: Core Qualification: Compulsory Mechatronics: Core Qualification: Compulsory Technomathematics: Specialisation II. Informatics: Elective Compulsory 
Course L0321: Computer Engineering 
Typ  Lecture 
Hrs/wk  3 
CP  4 
Workload in Hours  Independent Study Time 78, Study Time in Lecture 42 
Lecturer  Prof. Heiko Falk 
Language  DE/EN 
Cycle  WiSe 
Content 

Literature 

Course L0324: Computer Engineering 
Typ  Recitation Section (small) 
Hrs/wk  1 
CP  2 
Workload in Hours  Independent Study Time 46, Study Time in Lecture 14 
Lecturer  Prof. Heiko Falk 
Language  DE/EN 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M0834: Computernetworks and Internet Security 

Courses  

Module Responsible  Prof. Andreas TimmGiel 
Admission Requirements  None 
Recommended Previous Knowledge 
Basics of Computer Science 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
Students are able to explain important and common Internet protocols in detail and classify them, in order to be able to analyse and develop networked systems in further studies and job. 
Skills 
Students are able to analyse common Internet protocols and evaluate the use of them in different domains. 
Personal Competence  
Social Competence 

Autonomy 
Students can select relevant parts out of high amount of professional knowledge and can independently learn and understand it. 
Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Credit points  6 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  120 min 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Computer Science: Elective Compulsory Computer Science: Core Qualification: Compulsory Data Science: Core Qualification: Elective Compulsory Electrical Engineering: Core Qualification: Elective Compulsory Engineering Science: Specialisation Mechatronics: Elective Compulsory General Engineering Science (English program, 7 semester): Specialisation Computer Science: Elective Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechatronics: Elective Compulsory Computational Science and Engineering: Core Qualification: Compulsory Technomathematics: Specialisation II. Informatics: Elective Compulsory 
Course L1098: Computer Networks and Internet Security 
Typ  Lecture 
Hrs/wk  3 
CP  5 
Workload in Hours  Independent Study Time 108, Study Time in Lecture 42 
Lecturer  Prof. Andreas TimmGiel, Prof. Dieter Gollmann, Dr.Ing. Koojana Kuladinithi 
Language  EN 
Cycle  WiSe 
Content 
In this class an introduction to computer networks with focus on the Internet and its security is given. Basic functionality of complex protocols are introduced. Students learn to understand these and identify common principles. In the exercises these basic principles and an introduction to performance modelling are addressed using computing tasks and (virtual) labs. In the second part of the lecture an introduction to Internet security is given. This class comprises:

Literature 
Further literature is announced at the beginning of the lecture. 
Course L1099: Computer Networks and Internet Security 
Typ  Recitation Section (small) 
Hrs/wk  1 
CP  1 
Workload in Hours  Independent Study Time 16, Study Time in Lecture 14 
Lecturer  Prof. Andreas TimmGiel, Prof. Dieter Gollmann 
Language  EN 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M0731: Functional Programming 

Courses  

Module Responsible  Prof. Sibylle Schupp  
Admission Requirements  None  
Recommended Previous Knowledge  Discrete mathematics at highschool level  
Educational Objectives  After taking part successfully, students have reached the following learning results  
Professional Competence  
Knowledge 
Students apply the principles, constructs, and simple design techniques of functional programming. They demonstrate their ability to read Haskell programs and to explain Haskell syntax as well as Haskell's readevalprint loop. They interpret warnings and find errors in programs. They apply the fundamental data structures, data types, and type constructors. They employ strategies for unit tests of functions and simple proof techniques for partial and total correctness. They distinguish laziness from other evaluation strategies. 

Skills 
Students break a naturallanguage description down in parts amenable to a formal specification and develop a functional program in a structured way. They assess different language constructs, make conscious selections both at specification and implementations level, and justify their choice. They analyze given programs and rewrite them in a controlled way. They design and implement unit tests and can assess the quality of their tests. They argue for the correctness of their program. 

Personal Competence  
Social Competence 
Students practice peer programming with varying peers. They explain problems and solutions to their peer. They defend their programs orally. They communicate in English. 

Autonomy 
In programming labs, students learn under supervision (a.k.a. "Betreutes Programmieren") the mechanics of programming. In exercises, they develop solutions individually and independently, and receive feedback. 

Workload in Hours  Independent Study Time 96, Study Time in Lecture 84  
Credit points  6  
Course achievement 


Examination  Written exam  
Examination duration and scale  90 min  
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Computer Science: Elective Compulsory Computer Science: Core Qualification: Compulsory Data Science: Core Qualification: Elective Compulsory Engineering Science: Specialisation Mechatronics: Elective Compulsory General Engineering Science (English program, 7 semester): Specialisation Computer Science: Elective Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechatronics: Elective Compulsory Computational Science and Engineering: Specialisation I. Computer Science: Elective Compulsory Technomathematics: Specialisation II. Informatics: Elective Compulsory 
Course L0624: Functional Programming 
Typ  Lecture 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Sibylle Schupp 
Language  EN 
Cycle  WiSe 
Content 

Literature 
Graham Hutton, Programming in Haskell, Cambridge University Press 2007. 
Course L0625: Functional Programming 
Typ  Recitation Section (large) 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Sibylle Schupp 
Language  EN 
Cycle  WiSe 
Content 

Literature 
Graham Hutton, Programming in Haskell, Cambridge University Press 2007. 
Course L0626: Functional Programming 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Sibylle Schupp 
Language  EN 
Cycle  WiSe 
Content 

Literature 
Graham Hutton, Programming in Haskell, Cambridge University Press 2007. 
Module M1423: Algorithms and Data Structures 

Courses  

Module Responsible  Prof. Matthias Mnich 
Admission Requirements  None 
Recommended Previous Knowledge 

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

Skills 

Personal Competence  
Social Competence 

Autonomy 

Workload in Hours  Independent Study Time 110, Study Time in Lecture 70 
Credit points  6 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  60 min 
Assignment for the Following Curricula 
Computer Science: Core Qualification: Compulsory Data Science: Core Qualification: Compulsory Computational Science and Engineering: Core Qualification: Compulsory Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Technomathematics: Specialisation II. Informatics: Elective Compulsory Engineering and Management  Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory 
Course L2046: Algorithms and Data Structures 
Typ  Lecture 
Hrs/wk  4 
CP  4 
Workload in Hours  Independent Study Time 64, Study Time in Lecture 56 
Lecturer  Prof. Matthias Mnich 
Language  DE/EN 
Cycle  WiSe 
Content 

Literature 

Course L2047: Algorithms and Data Structures 
Typ  Recitation Section (small) 
Hrs/wk  1 
CP  2 
Workload in Hours  Independent Study Time 46, Study Time in Lecture 14 
Lecturer  Prof. Matthias Mnich 
Language  DE/EN 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M0625: Databases 

Courses  

Module Responsible  Prof. Stefan Schulte 
Admission Requirements  None 
Recommended Previous Knowledge 
Students should have basic knowledge in the following areas:

Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
After successful completion of the course, students know:

Skills 
The students acquire the ability to model a database and to work with it. This comprises especially the application of design methodologies and query and definition languages. Furthermore, students are able to apply basic functionalities needed to run a database. 
Personal Competence  
Social Competence 
Students can work on complex problems both independently and in teams. They can exchange ideas with each other and use their individual strengths to solve the problem. 
Autonomy 
Students are able to independently investigate a complex problem and assess which competencies are required to solve it. 
Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Credit points  6 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  90 min 
Assignment for the Following Curricula 
Computer Science: Specialisation Computer and Software Engineering: Elective Compulsory Computer Science: Specialisation I. Computer and Software Engineering: Elective Compulsory Data Science: Core Qualification: Compulsory Technomathematics: Specialisation II. Informatics: Elective Compulsory 
Course L0337: Databases 
Typ  Lecture 
Hrs/wk  3 
CP  5 
Workload in Hours  Independent Study Time 108, Study Time in Lecture 42 
Lecturer  Prof. Stefan Schulte 
Language  EN 
Cycle  WiSe 
Content 

Literature 

Course L1150: Databases 
Typ  Project/problembased Learning 
Hrs/wk  1 
CP  1 
Workload in Hours  Independent Study Time 16, Study Time in Lecture 14 
Lecturer  Prof. Stefan Schulte 
Language  EN 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M0668: Algebra and Control 

Courses  

Module Responsible  Dr. Prashant Batra 
Admission Requirements  None 
Recommended Previous Knowledge 
Basics of Real Analysis and Linear Algebra of Vector Spaces and either of: Introduction to Control Theory or: Discrete Mathematics 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
Students can

Skills 
Students are able to

Personal Competence  
Social Competence  After completing the module, students are able to solve subjectrelated tasks and to present the results. 
Autonomy  Students are provided with tasks which are examrelated so that they can examine their learning progress and reflect on it. 
Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Credit points  6 
Course achievement  None 
Examination  Oral exam 
Examination duration and scale  30 min 
Assignment for the Following Curricula 
Computer Science: Specialisation Computational Mathematics: Elective Compulsory Computer Science: Specialisation II. Mathematics and Engineering Science: Elective Compulsory Technomathematics: Specialisation II. Informatics: Elective Compulsory 
Course L0428: Algebra and Control 
Typ  Lecture 
Hrs/wk  2 
CP  4 
Workload in Hours  Independent Study Time 92, Study Time in Lecture 28 
Lecturer  Dr. Prashant Batra 
Language  DE/EN 
Cycle  SoSe 
Content 
 Algebraic control methods, polynomial and fractional approach
 Parametrization of all stabilizing controllers  Selected methods of pole assignment.  Filtering and sensitivity minimization  Euclidean algorithm, diophantine equations over rings  SmithMcMillan normal form 
Literature 

Course L0429: Algebra and Control 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Dr. Prashant Batra 
Language  DE/EN 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M0754: Compiler Construction 

Courses  

Module Responsible  Prof. Sibylle Schupp 
Admission Requirements  None 
Recommended Previous Knowledge 

Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
Students explain the workings of a compiler and break down a compilation task in different phases. They apply and modify the major algorithms for compiler construction and code improvement. They can rewrite those algorithms in a programming language, run and test them. They choose appropriate internal languages and representations and justify their choice. They explain and modify implementations of existing compiler frameworks and experiment with frameworks and tools. 
Skills 
Students design and implement arbitrary compilation phases. They integrate their code in existing compiler frameworks. They organize their compiler code properly as a software project. They generalize algorithms for compiler construction to algorithms that analyze or synthesize software. 
Personal Competence  
Social Competence 
Students develop the software in a team. They explain problems and solutions to their team members. They present and defend their software in class. They communicate in English. 
Autonomy 
Students develop their software independently and define milestones by themselves. They receive feedback throughout the entire project. They organize the software project so that they can assess their progress themselves. 
Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Credit points  6 
Course achievement  None 
Examination  Subject theoretical and practical work 
Examination duration and scale  Software (Compiler) 
Assignment for the Following Curricula 
Computer Science: Specialisation Computer and Software Engineering: Elective Compulsory Computer Science: Specialisation I. Computer and Software Engineering: Elective Compulsory Computational Science and Engineering: Specialisation I. Computer Science: Elective Compulsory Technomathematics: Specialisation II. Informatics: Elective Compulsory 
Course L0703: Compiler Construction 
Typ  Lecture 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Sibylle Schupp 
Language  EN 
Cycle  SoSe 
Content 

Literature 
Alfred Aho, Jeffrey Ullman, Ravi Sethi, and Monica S. Lam, Compilers: Principles, Techniques, and Tools, 2nd edition Aarne Ranta, Implementing Programming Languages, An Introduction to Compilers and Interpreters, with an appendix coauthored by Markus Forsberg, College Publications, London, 2012 
Course L0704: Compiler Construction 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  4 
Workload in Hours  Independent Study Time 92, Study Time in Lecture 28 
Lecturer  Prof. Sibylle Schupp 
Language  EN 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M0562: Computability and Complexity Theory 

Courses  

Module Responsible  Prof. KarlHeinz Zimmermann 
Admission Requirements  None 
Recommended Previous Knowledge  Discrete Algebraic Structures, Automata Theory, Logic, and Formal Language Theory. 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
The students known the important machine models of computability, the class of partial recursive functions, universal computability, Gödel numbering of computations, the theorems of Kleene, Rice, and RiceShapiro, the concept of decidable and undecidable sets, the word problems for semiThue systems, Thue systems, semigroups, and Post correspondence systems, Hilbert's 10th problem, and the basic concepts of complexity theory. 
Skills 
Students are able to investigate the computability of sets and functions and to analyze the complexity of computable functions. 
Personal Competence  
Social Competence 
Students are able to solve specific problems alone or in a group and to present the results accordingly. 
Autonomy 
Students are able to acquire new knowledge from newer literature and to associate the acquired knowledge with other classes. 
Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Credit points  6 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  60 min 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Computer Science: Elective Compulsory Computer Science: Core Qualification: Compulsory Data Science: Core Qualification: Elective Compulsory General Engineering Science (English program, 7 semester): Specialisation Computer Science: Elective Compulsory Computational Science and Engineering: Specialisation I. Computer Science: Elective Compulsory Technomathematics: Specialisation II. Informatics: Elective Compulsory 
Course L0166: Computability and Complexity Theory 
Typ  Lecture 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Prof. KarlHeinz Zimmermann 
Language  DE/EN 
Cycle  SoSe 
Content  
Literature 
Course L0167: Computability and Complexity Theory 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Prof. KarlHeinz Zimmermann 
Language  DE/EN 
Cycle  SoSe 
Content  
Literature 
Specialization III. Engineering Science
Module M0536: Fundamentals of Fluid Mechanics 

Courses  

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 
Students are able to:


Skills 
The students are able to


Personal Competence  
Social Competence 
The students


Autonomy 
The students are able to


Workload in Hours  Independent Study Time 124, Study Time in Lecture 56  
Credit points  6  
Course achievement 


Examination  Written exam  
Examination duration and scale  3 hours  
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Process Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Bioprocess Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Green Technologies: Compulsory Bioprocess Engineering: Core Qualification: Compulsory Energy and Environmental Engineering: Core Qualification: Compulsory Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory Process Engineering: Core Qualification: Compulsory Engineering and Management  Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory 
Course L0091: Fundamentals of Fluid Mechanics 
Typ  Lecture 
Hrs/wk  2 
CP  4 
Workload in Hours  Independent Study Time 92, Study Time in Lecture 28 
Lecturer  Prof. Michael Schlüter 
Language  DE 
Cycle  SoSe 
Content 

Literature 

Course L0092: Fluid Mechanics for Process Engineering 
Typ  Recitation Section (large) 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Michael Schlüter 
Language  DE 
Cycle  SoSe 
Content 
In the exerciselecture the topics from the main lecture are discussed intensively and transferred into application. For that, the students receive example tasks for download. The students solve these problems based on the lecture material either independently or in small groups. The solution is discussed with the students under scientific supervision and parts of the solutions are presented on the chalk board. At the end of each exerciselecture, the correct solution is presented on the chalk board. Parallel to the exerciselecture tutorials are held where the student solve exam questions under a set timeframe in small groups and discuss the solutions afterwards.

Literature 

Module M0634: Introduction into Medical Technology and Systems 

Courses  

Module Responsible  Prof. Alexander Schlaefer  
Admission Requirements  None  
Recommended Previous Knowledge 
principles of math (algebra, analysis/calculus) 

Educational Objectives  After taking part successfully, students have reached the following learning results  
Professional Competence  
Knowledge 
The students can explain principles of medical technology, including imaging systems, computer aided surgery, and medical information systems. They are able to give an overview of regulatory affairs and standards in medical technology. 

Skills 
The students are able to evaluate systems and medical devices in the context of clinical applications. 

Personal Competence  
Social Competence 
The students describe a problem in medical technology as a project, and define tasks that are solved in a joint effort. 

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  
Course achievement 


Examination  Written exam  
Examination duration and scale  90 minutes  
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory Computer Science: Specialisation Computer and Software Engineering: Elective Compulsory Computer Science: Specialisation II. Mathematics and Engineering Science: Elective Compulsory Data Science: Core Qualification: Elective Compulsory Electrical Engineering: Core Qualification: Elective Compulsory Engineering Science: Specialisation Biomedical Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Compulsory Computational Science and Engineering: Specialisation II. Mathematics & Engineering Science: Elective Compulsory Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory 
Course L0342: Introduction into Medical Technology and Systems 
Typ  Lecture 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Prof. Alexander Schlaefer 
Language  DE 
Cycle  SoSe 
Content 
 imaging systems 
Literature 
Wird in der Veranstaltung bekannt gegeben. 
Course L0343: Introduction into Medical Technology and Systems 
Typ  Project Seminar 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Alexander Schlaefer 
Language  DE 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Course L1876: Introduction into Medical Technology and Systems 
Typ  Recitation Section (large) 
Hrs/wk  1 
CP  1 
Workload in Hours  Independent Study Time 16, Study Time in Lecture 14 
Lecturer  Prof. Alexander Schlaefer 
Language  DE 
Cycle  SoSe 
Content 
 imaging systems 
Literature 
Wird in der Veranstaltung bekannt gegeben. 
Module M0680: Fluid Dynamics 

Courses  

Module Responsible  Prof. Thomas Rung 
Admission Requirements  None 
Recommended Previous Knowledge 
Sound knowledge of engineering mathematics, engineering mechanics and thermodynamics. 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
Students will have the required sound knowledge to explain the general principles of fluid engineering and physics of fluids. Students can scientifically outline the rationale of flow physics using mathematical models and are familiar with methods for the performance analysis and the prediciton of fluid engineering devices. 
Skills 
Students are able to apply fluidengineering principles and flowphysics models for the analysis of technical systems. The lecture enables the student to carry out all necessary theoretical calculations for the fluid dynamic design of engineering devices on a scientific level. 
Personal Competence  
Social Competence 
The students are able to discuss problems and jointly develop solution strategies. 
Autonomy 
The students are able to develop solution strategies for complex problems selfconsistent and crtically analyse results. 
Workload in Hours  Independent Study Time 110, Study Time in Lecture 70 
Credit points  6 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  180 min 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Naval Architecture: Compulsory Mechanical Engineering: Core Qualification: Compulsory Naval Architecture: Core Qualification: Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory 
Course L0454: Fluid Mechanics 
Typ  Lecture 
Hrs/wk  3 
CP  4 
Workload in Hours  Independent Study Time 78, Study Time in Lecture 42 
Lecturer  Prof. Thomas Rung 
Language  DE/EN 
Cycle  SoSe 
Content 

Literature 

Course L0455: Fluid Mechanics 
Typ  Recitation Section (large) 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Thomas Rung 
Language  DE/EN 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M0757: Biochemistry and Microbiology 

Courses  

Module Responsible  Prof. Johannes Gescher 
Admission Requirements  None 
Recommended Previous Knowledge  none 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
At the end of this module the students can:  explain the methods of biological and biochemical research to determine the properties of biomolecules  name the basic components of a living organism  explain the principles of metabolism  describe the structure of living cells  
Skills  
Personal Competence  
Social Competence 
The students are able,  to gather knowledge in groups of about 10 students  to introduce their own knowledge and to argue their view in discussions in teams  to divide a complex task into subtasks, solve these and to present the combined results 
Autonomy 
The students are able to present the results of their subtasks in a written report 
Workload in Hours  Independent Study Time 96, Study Time in Lecture 84 
Credit points  6 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  90 min 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Bioprocess Engineering: Compulsory Bioprocess Engineering: Core Qualification: Compulsory Green Technologies: Energy, Water, Climate: Specialisation Bioresource Technology: Elective Compulsory Orientation Studies: Core Qualification: Elective Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory 
Course L0351: Biochemistry 
Typ  Lecture 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Dr. Paul Bubenheim 
Language  DE 
Cycle  SoSe 
Content 

Literature 
Biochemie, H. Robert Horton, Laurence A. Moran, K. Gray Scrimeour, Marc D. Perry, J. David Rawn, Pearson Studium, München Prinzipien der Biochemie, A. L. Lehninger, de Gruyter Verlag Berlin 
Course L0728: Biochemistry 
Typ  Project/problembased Learning 
Hrs/wk  1 
CP  1 
Workload in Hours  Independent Study Time 16, Study Time in Lecture 14 
Lecturer  Dr. Paul Bubenheim 
Language  DE 
Cycle  SoSe 
Content 

Literature 
Biochemie, H. Robert Horton, Laurence A. Moran, K. Gray Scrimeour, Marc D. Perry, J. David Rawn, Pearson Studium, München Prinzipien der Biochemie, A. L. Lehninger, de Gruyter Verlag Berlin 
Course L0881: Microbiology 
Typ  Lecture 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Johannes Gescher 
Language  DE 
Cycle  SoSe 
Content 
1. The procaryotic cell
2. Metabolism
3. Microorganisms in relation to the environment

Literature 
• Allgemeine Mikrobiologie, 8. Aufl., 2007, Fuchs, G. (Hrsg.), Thieme Verlag (54,95 €) • Mikrobiologie, 13 Aufl., 2013, Madigan, M., Martinko, J. M., Stahl, D. A., Clark, D. P. (Hrsg.), ehemals „Brock“, Pearson Verlag (89,95 €) • Taschenlehrbuch Biologie Mikrobiologie, 2008, Munk, K. (Hrsg.), Thieme Verlag • Grundlagen der Mikrobiologie, 4. Aufl., 2010, Cypionka, H., Springer Verlag (29,95 €), http://www.grundlagendermikrobiologie.icbm.de/ 
Course L0888: Microbiology 
Typ  Project/problembased Learning 
Hrs/wk  1 
CP  1 
Workload in Hours  Independent Study Time 16, Study Time in Lecture 14 
Lecturer  Prof. Johannes Gescher 
Language  DE 
Cycle  SoSe 
Content 
1. The procaryotic cell
2. Metabolism
3. Microorganisms in relation to the environment

Literature 
• Allgemeine Mikrobiologie, 8. Aufl., 2007, Fuchs, G. (Hrsg.), Thieme Verlag (54,95 €) • Mikrobiologie, 13 Aufl., 2013, Madigan, M., Martinko, J. M., Stahl, D. A., Clark, D. P. (Hrsg.), ehemals „Brock“, Pearson Verlag (89,95 €) • Taschenlehrbuch Biologie Mikrobiologie, 2008, Munk, K. (Hrsg.), Thieme Verlag • Grundlagen der Mikrobiologie, 4. Aufl., 2010, Cypionka, H., Springer Verlag (29,95 €), http://www.grundlagendermikrobiologie.icbm.de/ 
Module M1277: MED I: Introduction to Anatomy 

Courses  

Module Responsible  Prof. Udo Schumacher 
Admission Requirements  None 
Recommended Previous Knowledge  None 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
The
students can describe basal structures and functions of internal organs and the
musculoskeletal system.
The students can describe the basic macroscopy and microscopy of those systems. 
Skills 
The students can recognize the relationship between given anatomical facts and the development of some common diseases; they can explain the relevance of structures and their functions in the context of widespread diseases. 
Personal Competence  
Social Competence 
The students can participate in current discussions in biomedical research and medicine on a professional level. 
Autonomy 
The students are able to access anatomical knowledge by themselves, can participate in conversations on the topic and acquire the relevant knowledge themselves. 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Credit points  3 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  90 minutes 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory Data Science: Specialisation Medicine: Compulsory Electrical Engineering: Specialisation Medical Technology: Elective Compulsory Engineering Science: Specialisation Biomedical Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Compulsory Mechanical Engineering: Specialisation Biomechanics: Compulsory Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory 
Course L0384: Introduction to Anatomy 
Typ  Lecture 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Prof. Tobias Lange 
Language  DE 
Cycle  SoSe 
Content 
General Anatomy 1^{st} week: The Eucaryote Cell 2^{nd }week: The Tissues 3^{rd} week: Cell Cycle, Basics in Development 4^{th} week: Musculoskeletal System 5^{th} week: Cardiovascular System 6^{th} week: Respiratory System 7^{th} week: Genitourinary System 8^{th} week: Immune system 9^{th} week: Digestive System I 10^{th} week: Digestive System II 11^{th} week: Endocrine System 12^{th} week: Nervous System 13^{th} week: Exam 
Literature 
Adolf Faller/Michael Schünke, Der Körper des Menschen, 17. Auflage, Thieme Verlag Stuttgart, 2016 
Module M0938: Bioprocess Engineering  Fundamentals 

Courses  

Module Responsible  Prof. Andreas Liese  
Admission Requirements  None  
Recommended Previous Knowledge  none, module "organic chemistry", module "fundamentals for process engineering"  
Educational Objectives  After taking part successfully, students have reached the following learning results  
Professional Competence  
Knowledge 
Students are able to describe the basic concepts of bioprocess engineering. They are able to classify different types of kinetics for enzymes and microorganisms, as well as to differentiate different types of inhibition. The parameters of stoichiometry and rheology can be named and mass transport processes in bioreactors can be explained. The students are capable to explain fundamental bioprocess management, sterilization technology and downstream processing in detail. 

Skills 
After successful completion of this module, students should be able to


Personal Competence  
Social Competence 
After completion of this module participants should be able to debate technical questions in small teams to enhance the ability to take position to their own opinions and increase their capacity for teamwork in engineering and scientific environments. 

Autonomy 
After completion of this module participants will be able to solve a technical problem in a team independently by organizing their workflow and to present their results in a plenum. 

Workload in Hours  Independent Study Time 96, Study Time in Lecture 84  
Credit points  6  
Course achievement 


Examination  Written exam  
Examination duration and scale  90 min  
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Process Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Bioprocess Engineering: Compulsory Bioprocess Engineering: Core Qualification: Compulsory Green Technologies: Energy, Water, Climate: Specialisation Bioresource Technology: Elective Compulsory Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Compulsory Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory Process Engineering: Core Qualification: Compulsory 
Course L0841: Bioprocess Engineering  Fundamentals 
Typ  Lecture 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Prof. Andreas Liese 
Language  DE 
Cycle  SoSe 
Content 

Literature 
K. Buchholz, V. Kasche, U. Bornscheuer: Biocatalysts and Enzyme Technology, 2. Aufl. WileyVCH, 2012 H. Chmiel: Bioprozeßtechnik, Elsevier, 2006 R.H. Balz et al.: Manual of Industrial Microbiology and Biotechnology, 3. edition, ASM Press, 2010 H.W. Blanch, D. Clark: Biochemical Engineering, Taylor & Francis, 1997 P. M. Doran: Bioprocess Engineering Principles, 2. edition, Academic Press, 2013 
Course L0842: Bioprocess Engineering Fundamentals 
Typ  Recitation Section (large) 
Hrs/wk  2 
CP  1 
Workload in Hours  Independent Study Time 2, Study Time in Lecture 28 
Lecturer  Prof. Andreas Liese 
Language  DE 
Cycle  SoSe 
Content 
1. Introduction (Prof. Liese, Prof. Zeng) 2. Enzymatic kinetics (Prof. Liese) 3. Stoichiometry I + II (Prof. Liese) 4. Microbial Kinetics I+II (Prof. Zeng) 5. Rheology (Prof. Liese) 6. Mass transfer in bioprocess (Prof. Zeng) 7. Continuous culture (Chemostat) (Prof. Zeng) 8. Sterilisation (Prof. Zeng) 9. Downstream processing (Prof. Liese) 10. Repetition (Reserve) (Prof. Liese, Prof. Zeng) 
Literature  siehe Vorlesung 
Course L0843: Bioprocess Engineering  Fundamental Practical Course 
Typ  Practical Course 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Andreas Liese, Prof. AnPing Zeng 
Language  DE 
Cycle  SoSe 
Content 
In this course fermentation and downstream technologies on the example of the production of an enzyme by means of a recombinant microorganism is learned. Detailed characterization and simulation of enzyme kinetics as well as application of the enzyme in a bioreactor is carried out. The students document their experiments and results in a protocol. 
Literature  Skript 
Module M1278: MED I: Introduction to Radiology and Radiation Therapy 

Courses  

Module Responsible  Prof. Ulrich Carl 
Admission Requirements  None 
Recommended Previous Knowledge  None 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
Therapy
The students can distinguish different types of currently used equipment with respect to its use in radiation therapy. The students can explain treatment plans used in radiation therapy in interdisciplinary contexts (e.g. surgery, internal medicine). The students can describe the patients' passage from their initial admittance through to followup care. Diagnostics The students can illustrate the technical base concepts of projection radiography, including angiography and mammography, as well as sectional imaging techniques (CT, MRT, US). The students can explain the diagnostic as well as therapeutic use of imaging techniques, as well as the technical basis for those techniques. The students can choose the right treatment method depending on the patient's clinical history and needs. The student can explain the influence of technical errors on the imaging techniques. The student can draw the right conclusions based on the images' diagnostic findings or the error protocol. 
Skills 
Therapy
The students can distinguish curative and palliative situations and motivate why they came to that conclusion. The students can develop adequate therapy concepts and relate it to the radiation biological aspects. The students can use the therapeutic principle (effects vs adverse effects) The students can distinguish different kinds of radiation, can choose the best one depending on the situation (location of the tumor) and choose the energy needed in that situation (irradiation planning). The student can assess what an individual psychosocial service should look like (e.g. followup treatment, sports, social help groups, selfhelp groups, social services, psychooncology). Diagnostics The students can suggest solutions for repairs of imaging instrumentation after having done error analyses. The students can classify results of imaging techniques according to different groups of diseases based on their knowledge of anatomy, pathology and pathophysiology. 
Personal Competence  
Social Competence 
The
students can assess the special social situation of tumor patients and interact
with them in a professional way.
The students are aware of the special, often feardominated behavior of sick people caused by diagnostic and therapeutic measures and can meet them appropriately. 
Autonomy 
The
students can apply their new knowledge and skills to a concrete therapy case.
The students can introduce younger students to the clinical daily routine. The students are able to access anatomical knowledge by themselves, can participate competently in conversations on the topic and acquire the relevant knowledge themselves. 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Credit points  3 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  90 minutes 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory Data Science: Specialisation Medicine: Compulsory Electrical Engineering: Specialisation Medical Technology: Elective Compulsory Engineering Science: Specialisation Biomedical Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Compulsory Mechanical Engineering: Specialisation Biomechanics: Compulsory Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory 
Course L0383: Introduction to Radiology and Radiation Therapy 
Typ  Lecture 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Prof. Ulrich Carl, Prof. Thomas Vestring 
Language  DE 
Cycle  SoSe 
Content 
The students will be given an understanding of the technological possibilities in the field of medical imaging, interventional radiology and radiation therapy/radiation oncology. It is assumed, that students in the beginning of the course have heard the word “Xray” at best. It will be distinguished between the two arms of diagnostic (Prof. Dr. med. Thomas Vestring) and therapeutic (Prof. Dr. med. Ulrich Carl) use of Xrays. Both arms depend on special big units, which determine a predefined sequence in their respective departments 
Literature 

Module M0671: Technical Thermodynamics I 

Courses  

Module Responsible  Prof. Dr. Arne Speerforck 
Admission Requirements  None 
Recommended Previous Knowledge  Elementary knowledge in Mathematics and Mechanics 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
Students are familiar with the laws of Thermodynamics. They know the relation of the kinds of energy according to 1^{st} law of Thermodynamics and are aware about the limits of energy conversions according to 2^{nd} law of Thermodynamics. They are able to distinguish between state variables and process variables and know the meaning of different state variables like temperature, enthalpy, entropy and also the meaning of exergy and anergy. They are able to draw the Carnot cycle in a Thermodynamics related diagram. They know the physical difference between an ideal and a real gas and are able to use the related equations of state. They know the meaning of a fundamental state of equation and know the basics of two phase Thermodynamics. 
Skills 
Students are able to calculate the internal energy, the enthalpy, the kinetic and the potential energy as well as work and heat for simple change of states and to use this calculations for the Carnot cycle. They are able to calculate state variables for an ideal and for a real gas from measured thermal state variables. 
Personal Competence  
Social Competence  The students 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 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  90 min 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Core Qualification: Compulsory Bioprocess Engineering: Core Qualification: Compulsory Digital Mechanical Engineering: Core Qualification: Compulsory Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Mechanical Engineering: Core Qualification: Compulsory Mechatronics: Core Qualification: Compulsory Orientation Studies: Core Qualification: Elective Compulsory Naval Architecture: Core Qualification: Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory Process Engineering: Core Qualification: Compulsory Engineering and Management  Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory 
Course L0437: Technical Thermodynamics I 
Typ  Lecture 
Hrs/wk  2 
CP  4 
Workload in Hours  Independent Study Time 92, Study Time in Lecture 28 
Lecturer  Prof. Dr. Arne Speerforck 
Language  DE 
Cycle  SoSe 
Content 

Literature 

Course L0439: Technical Thermodynamics I 
Typ  Recitation Section (large) 
Hrs/wk  1 
CP  1 
Workload in Hours  Independent Study Time 16, Study Time in Lecture 14 
Lecturer  Prof. Dr. Arne Speerforck 
Language  DE 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Course L0441: Technical Thermodynamics I 
Typ  Recitation Section (small) 
Hrs/wk  1 
CP  1 
Workload in Hours  Independent Study Time 16, Study Time in Lecture 14 
Lecturer  Prof. Dr. Arne Speerforck 
Language  DE 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M0567: Theoretical Electrical Engineering I: TimeIndependent Fields 

Courses  

Module Responsible  Prof. Christian Schuster 
Admission Requirements  None 
Recommended Previous Knowledge 
Basic principles of electrical engineering and advanced mathematics 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
Students can explain the fundamental formulas, relations, and methods of the theory of timeindependent electromagnetic fields. They can explicate the principal behavior of electrostatic, magnetostatic, and current density fields with regard to respective sources. They can describe the properties of complex electromagnetic fields by means of superposition of solutions for simple fields. The students are aware of applications for the theory of timeindependent electromagnetic fields and are able to explicate these. 
Skills 
Students can apply Maxwell’s Equations in integral notation in order to solve highly symmetrical, timeindependent, electromagnetic field problems. Furthermore, they are capable of applying a variety of methods that require solving Maxwell’s Equations for more general problems. The students can assess the principal effects of given timeindependent sources of fields and analyze these quantitatively. They can deduce meaningful quantities for the characterization of electrostatic, magnetostatic, and electrical flow fields (capacitances, inductances, resistances, etc.) from given fields and dimension them for practical applications. 
Personal Competence  
Social Competence 
Students are able to work together on subject related tasks in small groups. They are able to present their results effectively (e.g. during exercise sessions). 
Autonomy 
Students are capable to gather necessary information from provided references and relate this information to the lecture. They are able to continually reflect their knowledge by means of activities that accompany the lecture, such as short oral quizzes during the lectures and exercises that are related to the exam. Based on respective feedback, students are expected to adjust their individual learning process. They are able to draw connections between their knowledge obtained in this lecture and the content of other lectures (e.g. Electrical Engineering I, Linear Algebra, and Analysis). 
Workload in Hours  Independent Study Time 110, Study Time in Lecture 70 
Credit points  6 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  90150 minutes 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Compulsory Electrical Engineering: Core Qualification: Compulsory Computational Science and Engineering: Specialisation II. Mathematics & Engineering Science: Elective Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory 
Course L0180: Theoretical Electrical Engineering I: TimeIndependent Fields 
Typ  Lecture 
Hrs/wk  3 
CP  5 
Workload in Hours  Independent Study Time 108, Study Time in Lecture 42 
Lecturer  Prof. Christian Schuster 
Language  DE 
Cycle  SoSe 
Content 
 Maxwell’s Equations in integral and differential notation  Boundary conditions  Laws of conservation for energy and charge  Classification of electromagnetic field properties  Integral characteristics of timeindependent fields (R, L, C)  Generic approaches to solving Poisson’s Equation  Electrostatic fields and specific methods of solving  Magnetostatic fields and specific methods of solving  Fields of electrical current density and specific methods of solving  Action of force within timeindependent fields  Numerical methods for solving timeindependent problems The practical application of numerical methods will be trained within specifically prepared lectures in an interactive manner using small MATLAB programs. 
Literature 
 G. Lehner, "Elektromagnetische Feldtheorie: Für Ingenieure und Physiker", Springer (2010)  H. Henke, "Elektromagnetische Felder: Theorie und Anwendung", Springer (2011)  W. Nolting, "Grundkurs Theoretische Physik 3: Elektrodynamik", Springer (2011)  D. Griffiths, "Introduction to Electrodynamics", Pearson (2012)  J. Edminister, " Schaum's Outline of Electromagnetics", McgrawHill (2013)  Richard Feynman, "Feynman Lectures on Physics: Volume 2", Basic Books (2011) 
Course L0181: Theoretical Electrical Engineering I: TimeIndependent Fields 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  1 
Workload in Hours  Independent Study Time 2, Study Time in Lecture 28 
Lecturer  Prof. Christian Schuster 
Language  DE 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M0672: Signals and Systems 

Courses  

Module Responsible  Prof. Gerhard Bauch 
Admission Requirements  None 
Recommended Previous Knowledge 
Mathematics 13 The modul is an introduction to the theory of signals and systems. Good knowledge in maths as covered by the moduls Mathematik 13 is expected. Further experience with spectral transformations (Fourier series, Fourier transform, Laplace transform) is useful but not required. 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge  The students are able to classify and describe signals and linear timeinvariant (LTI) systems using methods of signal and system theory. They are able to apply the fundamental transformations of continuoustime and discretetime signals and systems. They can describe and analyse deterministic signals and systems mathematically in both time and image domain. In particular, they understand the effects in time domain and image domain which are caused by the transition of a continuoustime signal to a discretetime signal. 
Skills  The students are able to describe and analyse deterministic signals and linear timeinvariant systems using methods of signal and system theory. They can analyse and design basic systems regarding important properties such as magnitude and phase response, stability, linearity etc.. They can assess the impact of LTI systems on the signal properties in time and frequency domain. 
Personal Competence  
Social Competence  The students can jointly solve specific problems. 
Autonomy  The students are able to acquire relevant information from appropriate literature sources. They can control their level of knowledge during the lecture period by solving tutorial problems, software tools, clicker system. 
Workload in Hours  Independent Study Time 110, Study Time in Lecture 70 
Credit points  6 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  90 min 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Core Qualification: Compulsory Computer Science: Core Qualification: Compulsory Computer Science: Specialisation II. Mathematics and Engineering Science: Elective Compulsory Data Science: Core Qualification: Compulsory Electrical Engineering: Core Qualification: Compulsory Computational Science and Engineering: Core Qualification: Compulsory Mechanical Engineering: Specialisation Mechatronics: Elective Compulsory Mechatronics: Core Qualification: Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory 
Course L0432: Signals and Systems 
Typ  Lecture 
Hrs/wk  3 
CP  4 
Workload in Hours  Independent Study Time 78, Study Time in Lecture 42 
Lecturer  Prof. Gerhard Bauch 
Language  DE/EN 
Cycle  SoSe 
Content 

Literature 

Course L0433: Signals and Systems 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Gerhard Bauch 
Language  DE/EN 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M0706: Geotechnics I 

Courses  

Module Responsible  Prof. Jürgen Grabe  
Admission Requirements  None  
Recommended Previous Knowledge 
Modules :


Educational Objectives  After taking part successfully, students have reached the following learning results  
Professional Competence  
Knowledge  The students know the basics of soil mechanics as the structure and characteristics of soil, stress distribution due to weight, water or structures, consolidation and settlement calculations, as well as failure of the soil due to ground or slope failure.  
Skills 
After the successful completion of the module the students should be able to describe the mechanical properties and to evaluate them with the help of geotechnical standard tests. They can calculate stresses and deformation in the soils due to weight or influence of structures. They are are able to prove the usability (settlements) for shallow foundations. 

Personal Competence  
Social Competence  
Autonomy  
Workload in Hours  Independent Study Time 96, Study Time in Lecture 84  
Credit points  6  
Course achievement 


Examination  Written exam  
Examination duration and scale  60 minutes  
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Civil Engineering: Compulsory Civil and Environmental Engineering: Core Qualification: Compulsory Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory Engineering and Management  Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory 
Course L0550: Soil Mechanics 
Typ  Lecture 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Jürgen Grabe 
Language  DE 
Cycle 
WiSe/ 
Content 

Literature 

Course L0551: Soil Mechanics 
Typ  Recitation Section (large) 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Jürgen Grabe 
Language  DE 
Cycle 
WiSe/ 
Content  See interlocking course 
Literature  See interlocking course 
Course L1493: Soil Mechanics 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Jürgen Grabe 
Language  DE 
Cycle 
WiSe/ 
Content  See interlocking course 
Literature  See interlocking course 
Module M0610: Electrical Machines and Actuators 

Courses  

Module Responsible  Prof. Thorsten Kern 
Admission Requirements  None 
Recommended Previous Knowledge 
Basics of mathematics, in particular complexe numbers, integrals, differentials Basics of electrical engineering and mechanical engineering 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
Students can to draw and explain the basic principles of electric and magnetic fields. They can describe the function of the standard types of electric machines and present the corresponding equations and characteristic curves. For typically used drives they can explain the major parameters of the energy efficiency of the whole system from the power grid to the driven engine. 
Skills 
Students are able to calculate twodimensional electric and magnetic fields in particular ferromagnetic circuits with air gap. For this they apply the usual methods of the design auf electric machines. They can calulate the operational performance of electric machines from their given characteristic data and selected quantities and characteristic curves. They apply the usual equivalent circuits and graphical methods. 
Personal Competence  
Social Competence  none 
Autonomy 
Students are able independently to calculate electric and magnatic fields for applications. They are able to analyse independently the operational performance of electric machines from the charactersitic data and theycan calculate thereof selected quantities and characteristic curves. 
Workload in Hours  Independent Study Time 110, Study Time in Lecture 70 
Credit points  6 
Course achievement  None 
Examination  Subject theoretical and practical work 
Examination duration and scale  Design of four machines and actuators, review of design files 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Elective Compulsory General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Compulsory General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Elective Compulsory Digital Mechanical Engineering: Core Qualification: Compulsory Electrical Engineering: Core Qualification: Elective Compulsory Energy and Environmental Engineering: Core Qualification: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering: Elective Compulsory Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory Logistics and Mobility: Specialisation Engineering Science: Elective Compulsory Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Mechanical Engineering: Core Qualification: Elective Compulsory Mechatronics: Core Qualification: Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory Engineering and Management  Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Engineering and Management  Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory 
Course L0293: Electrical Machines and Actuators 
Typ  Lecture 
Hrs/wk  3 
CP  4 
Workload in Hours  Independent Study Time 78, Study Time in Lecture 42 
Lecturer  Prof. Thorsten Kern, Dennis Kähler 
Language  DE 
Cycle  SoSe 
Content 
Electric field: Coulomb´s law, flux (field) line, work, potential, capacitor, energy, force, capacitive actuators Magnetic field: force, flux line, Ampere´s law, field at bounderies, flux, magnetic circuit, hysteresis, induction, selfinduction, mutual inductance, transformer, electromagnetic actuators Synchronous machines, construction and layout, equivalent single line diagrams, noload and shortcuircuit characteristics, vector diagrams, motor and generator operation, stepper motors DCMachines: Construction and layout, torque generation mechanismen, torque vs speed characteristics, commutation, Asynchronous Machines. Magnetic field, construction and layout, equivalent single line diagram, complex stator current diagram (Heylands´diagram), torque vs. speed characteristics, rotor layout (squirrelcage vs. sliprings), Drives with variable speed, inverter fed operation, special drives 
Literature 
Hermann Linse, Roland Fischer: "Elektrotechnik für Maschinenbauer", ViewegVerlag; Signatur der Bibliothek der TUHH: ETB 313 Ralf Kories, Heinz SchmittWalter: "Taschenbuch der Elektrotechnik"; Verlag Harri Deutsch; Signatur der Bibliothek der TUHH: ETB 122 "Grundlagen der Elektrotechnik"  anderer Autoren Fachbücher "Elektrische Maschinen" 
Course L0294: Electrical Machines and Actuators 
Typ  Recitation Section (large) 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Thorsten Kern, Dennis Kähler 
Language  DE 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M0696: Mechanics II: Mechanics of Materials 

Courses  

Module Responsible  Prof. Christian Cyron 
Admission Requirements  None 
Recommended Previous Knowledge  Mechanics I 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge  Having accomplished this module, the students know and understand the basic concepts of continuum mechanics and elastostatics, in particular stress, strain, constitutive laws, stretching, bending, torsion, failure analysis, energy methods and stability of structures. 
Skills 
Having accomplished this module, the students are able to 
Personal Competence  
Social Competence   
Autonomy   
Workload in Hours  Independent Study Time 96, Study Time in Lecture 84 
Credit points  6 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  90 min 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Core Qualification: Compulsory Civil and Environmental Engineering: Core Qualification: Compulsory Bioprocess Engineering: Core Qualification: Compulsory Data Science: Specialisation Mechanics: Compulsory Digital Mechanical Engineering: Core Qualification: Compulsory Electrical Engineering: Core Qualification: Elective Compulsory Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory Logistics and Mobility: Core Qualification: Compulsory Mechanical Engineering: Core Qualification: Compulsory Mechatronics: Core Qualification: Compulsory Orientation Studies: Core Qualification: Elective Compulsory Naval Architecture: Core Qualification: Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory Process Engineering: Core Qualification: Compulsory Engineering and Management  Major in Logistics and Mobility: Core Qualification: Compulsory 
Course L0493: Mechanics II 
Typ  Lecture 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Christian Cyron 
Language  DE 
Cycle  SoSe 
Content 
stresses and strains 
Literature 

Course L0494: Mechanics II 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Christian Cyron 
Language  DE 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Course L1691: Mechanics II 
Typ  Recitation Section (large) 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Christian Cyron, Dr. Konrad Schneider 
Language  DE 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M0580: Principles of Building Materials and Building Physics 

Courses  

Module Responsible  Prof. Frank SchmidtDöhl 
Admission Requirements  None 
Recommended Previous Knowledge 
Knowledge of physics, chemistry and mathematics from school 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
The students are able to identify fundamental effects of action to materials and structures, to explain different types of mechanical behaviour, to describe the structure of building materials and the correlations between structure and other properties, to show methods of joining and of corrosion processes and to describe the most important regularities and properties of building materials and structures and their measurement in the field of protection against moisture, coldness, fire and noise. 
Skills 
The students are able to work with the most important standardized methods and regularities in the field of moisture protection, the German regulation for energy saving, fire protection and noise protection in the case of a small building. 
Personal Competence  
Social Competence 
The students are able to support each other to learn the very extensive specialist knowledge. 
Autonomy 
The students are able to make the timing and the operation steps to learn the specialist knowledge of a very extensive field. 
Workload in Hours  Independent Study Time 96, Study Time in Lecture 84 
Credit points  6 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  2 h written exam 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Civil Engineering: Compulsory Civil and Environmental Engineering: Core Qualification: Compulsory Orientation Studies: Core Qualification: Elective Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory 
Course L0217: Building Physics 
Typ  Lecture 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Frank SchmidtDöhl 
Language  DE 
Cycle  WiSe 
Content 
Heat transport, thermal bridges, balances of energy consumption, German regulation for energy saving, heat protection in summer, moisture transport, condensation moisture, protection against mold, fire protection, noise protection 
Literature  Fischer, H.M. ; Freymuth, H.; Häupl, P.; Homann, M.; Jenisch, R.; Richter, E.; Stohrer, M.: Lehrbuch der Bauphysik. Vieweg und Teubner Verlag, Wiesbaden, ISBN 9783519550143 
Course L0219: Building Physics 
Typ  Recitation Section (large) 
Hrs/wk  1 
CP  1 
Workload in Hours  Independent Study Time 16, Study Time in Lecture 14 
Lecturer  Prof. Frank SchmidtDöhl 
Language  DE 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Course L0247: Building Physics 
Typ  Recitation Section (small) 
Hrs/wk  1 
CP  1 
Workload in Hours  Independent Study Time 16, Study Time in Lecture 14 
Lecturer  Prof. Frank SchmidtDöhl 
Language  DE 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Course L0215: Principles of Building Materials 
Typ  Lecture 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Frank SchmidtDöhl 
Language  DE 
Cycle  WiSe 
Content 
Structure of building materials Material testing Principles of metals Joining methods 
Literature 
Wendehorst, R.: Baustoffkunde. ISBN 3835101323 Scholz, W.:Baustoffkenntnis. ISBN 3804141978 
Module M0687: Chemistry 

Courses  

Module Responsible  Dr. Dorothea Rechtenbach 
Admission Requirements  None 
Recommended Previous Knowledge  none 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
The students are able to name and to describe basic principles and applications of general chemistry (structure of matter, periodic table, chemical bonds), physical chemistry (aggregate states, separating processes, thermodynamics, kinetics), inorganic chemistry (acid/base, pHvalue, salts, solubility, redox, metals) and organic chemistry (aliphatic hydrocarbons, functional groups, carbonyl compounds, aromates, reaction mechanisms, natural products, synthetic polymers). Furthermore students are able to explain basic chemical terms. 
Skills 
After successful completion of this module students are able to describe substance groups and chemical compounds. On this basis, they are capable of explaining, choosing and applying specific methods and various reaction mechanisms. 
Personal Competence  
Social Competence 
Students are able to take part in discussions on chemical issues and problems as a member of an interdisciplinary team. They can contribute to those discussion by their own statements. 
Autonomy 
After successful completion of this module students are able to solve chemical problems independently by defending proposed approaches with arguments. They can also document their approaches. 
Workload in Hours  Independent Study Time 96, Study Time in Lecture 84 
Credit points  6 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  120 min 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Core Qualification: Compulsory Civil and Environmental Engineering: Core Qualification: Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory 
Course L0460: Chemistry I+II 
Typ  Lecture 
Hrs/wk  4 
CP  4 
Workload in Hours  Independent Study Time 64, Study Time in Lecture 56 
Lecturer  Dr. Christoph Wutz 
Language  DE 
Cycle  WiSe 
Content 
Chemistry I:  Structure of matter  Periodic table  Electronegativity  Chemical bonds  Solid compounds and solutions  Chemistry of water  Chemical reactions and equilibria  Acidbase reactions  Redox reactions Chemistry II:  Simple compounds of carbon, aliphatic hydrocarbons, aromatic hydrocarbons,  Alkohols, phenols, ether, aldehydes, ketones, carbonic acids, ester, amines, amino acids, fats, sugars  Reaction mechanisms, radical reactions, nucleophilic substitution, elimination reactions, addition reaction  Practical apllications and examples 
Literature 
 Blumenthal, Linke, Vieth: Chemie  Grundwissen für Ingenieure  Kickelbick: Chemie für Ingenieure (Pearson)  Mortimer: Chemie. Basiswissen der Chemie.  Brown, LeMay, Bursten: Chemie. Studieren kompakt.  Schmuck: Basisbuch Organische Chemie (Pearson) 
Course L0475: Chemistry I+II 
Typ  Recitation Section (large) 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Dr. Dorothea Rechtenbach 
Language  DE 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M0740: Structural Analysis I 

Courses  

Module Responsible  Prof. Uwe Starossek  
Admission Requirements  None  
Recommended Previous Knowledge  Mechanics I, Mathematics I  
Educational Objectives  After taking part successfully, students have reached the following learning results  
Professional Competence  
Knowledge 
After successfully completing this module, students can express the basic aspects of linear frame analysis of statically determinate systems. 

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

Personal Competence  
Social Competence 
Students can


Autonomy 
The students are able work interm homework assignments. Due to the interm feedback, they are enabled to selfassess their learning progress during the lecture period, already. 

Workload in Hours  Independent Study Time 124, Study Time in Lecture 56  
Credit points  6  
Course achievement 


Examination  Written exam  
Examination duration and scale  90 Minuten  
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Civil Engineering: Compulsory Civil and Environmental Engineering: Core Qualification: Compulsory Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory Engineering and Management  Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory 
Course L0666: Structural Analysis I 
Typ  Lecture 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Prof. Uwe Starossek 
Language  DE 
Cycle  WiSe 
Content 
Statically determinate structural systems

Literature 
Krätzig, W.B., Harte, R., Meskouris, K., Wittek, U.: Tragwerke 1  Theorie und Berechnungsmethoden statisch bestimmter Stabtragwerke. 4. Aufl., Springer, Berlin, 1999. 
Course L0667: Structural Analysis I 
Typ  Recitation Section (large) 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Prof. Uwe Starossek 
Language  DE 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M0933: Fundamentals of Materials Science 

Courses  

Module Responsible  Prof. Jörg Weißmüller 
Admission Requirements  None 
Recommended Previous Knowledge 
Highschoollevel physics, chemistry und mathematics 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
The students have acquired a fundamental knowledge on metals, ceramics and polymers and can describe this knowledge comprehensively. Fundamental knowledge here means specifically the issues of atomic structure, microstructure, phase diagrams, phase transformations, corrosion and mechanical properties. The students know about the key aspects of characterization methods for materials and can identify relevant approaches for characterizing specific properties. They are able to trace materials phenomena back to the underlying physical and chemical laws of nature. 
Skills 
The students are able to trace materials phenomena back to the underlying physical and chemical laws of nature. Materials phenomena here refers to mechanical properties such as strength, ductility, and stiffness, chemical properties such as corrosion resistance, and to phase transformations such as solidification, precipitation, or melting. The students can explain the relation between processing conditions and the materials microstructure, and they can account for the impact of microstructure on the material’s behavior. 
Personal Competence  
Social Competence   
Autonomy   
Workload in Hours  Independent Study Time 96, Study Time in Lecture 84 
Credit points  6 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  180 min 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Naval Architecture: Compulsory Data Science: Specialisation Materials Science: Compulsory Digital Mechanical Engineering: Core Qualification: Compulsory Energy and Environmental Engineering: Core Qualification: Compulsory Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory Logistics and Mobility: Specialisation Engineering Science: Elective Compulsory Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Mechanical Engineering: Core Qualification: Compulsory Mechatronics: Core Qualification: Compulsory Naval Architecture: Core Qualification: Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory Engineering and Management  Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory 
Course L1085: Fundamentals of Materials Science I 
Typ  Lecture 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Jörg Weißmüller 
Language  DE 
Cycle  WiSe 
Content  
Literature 
Vorlesungsskript W.D. Callister: Materials Science and Engineering  An Introduction. 5th ed., John Wiley & Sons, Inc., New York, 2000, ISBN 0471320137 P. Haasen: Physikalische Metallkunde. Springer 1994 
Course L0506: Fundamentals of Materials Science II (Advanced Ceramic Materials, Polymers and Composites) 
Typ  Lecture 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Bodo Fiedler, Prof. Gerold Schneider 
Language  DE 
Cycle  SoSe 
Content  Chemische Bindungen und Aufbau von Festkörpern; Kristallaufbau; Werkstoffprüfung; Schweißbarkeit; Herstellung von Keramiken; Aufbau und Eigenschaften der Keramik; Herstellung, Aufbau und Eigenschaften von Gläsern; Polymerwerkstoffe, Makromolekularer Aufbau; Struktur und Eigenschaften der Polymere; Polymerverarbeitung; Verbundwerkstoffe 
Literature 
Vorlesungsskript W.D. Callister: Materials Science and Engineering An Introduction5th ed., John Wiley & Sons, Inc., New York, 2000, ISBN 0471320137 
Course L1095: Physical and Chemical Basics of Materials Science 
Typ  Lecture 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Gregor VonbunFeldbauer, Prof. Stefan Müller 
Language  DE 
Cycle  WiSe 
Content 

Literature 
Für den Elektromagnetismus:
Für die Atomphysik:
Für die Materialphysik und Elastizität:

Module M0808: Finite Elements Methods 

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) 

Educational Objectives  After taking part successfully, students have reached the following learning results  
Professional Competence  
Knowledge 
The students possess an indepth knowledge regarding the derivation of the finite element method and are able to give an overview of the theoretical and methodical basis of the method. 

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

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

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

Workload in Hours  Independent Study Time 124, Study Time in Lecture 56  
Credit points  6  
Course achievement 


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 Aircraft Systems Engineering: Core Qualification: Elective Compulsory International Management and Engineering: Specialisation II. Mechatronics: Elective Compulsory International Management and Engineering: Specialisation II. Product Development and Production: Elective Compulsory Mechatronics: Core Qualification: Compulsory Biomedical Engineering: Specialisation Implants and Endoprostheses: Compulsory Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory Product Development, Materials and Production: Core Qualification: Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory Theoretical Mechanical Engineering: Core Qualification: Compulsory 
Course L0291: Finite Element Methods 
Typ  Lecture 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Prof. Otto von Estorff 
Language  EN 
Cycle  WiSe 
Content 
 General overview on modern engineering 
Literature 
Bathe, K.J. (2000): FiniteElementeMethoden. 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 M0945: Bioprocess Engineering  Advanced 

Courses  

Module Responsible  Prof. AnPing Zeng 
Admission Requirements  None 
Recommended Previous Knowledge  Content of module "Biochemical Engineering I" 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
After successful completion of this module, students should be able to

Skills 
After successful completion of this module, students should be able to  to identifiy scientific questions or possible practical problems for concrete industrial applications (eg cultivation of microorganisms and animal cells ) and to formulate solutions ,

Personal Competence  
Social Competence 
After completion of this module participants should be able to debate technical questions in small teams to enhance the ability to take position to their own opinions and increase their capacity for teamwork. 
Autonomy 
After completion of this module participants are able to aquire new sources of knowledge and apply their knowledge to previously unknown issues and to present these. 
Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Credit points  6 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  90 min 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Bioprocess Engineering: Compulsory Bioprocess Engineering: Core Qualification: Compulsory General Engineering Science (English program, 7 semester): Specialisation Bioprocess Engineering: Compulsory Green Technologies: Energy, Water, Climate: Specialisation Bioresource Technology: Elective Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory 
Course L1107: Bioprocess Engineering  Advanced 
Typ  Lecture 
Hrs/wk  2 
CP  4 
Workload in Hours  Independent Study Time 92, Study Time in Lecture 28 
Lecturer  Prof. AnPing Zeng 
Language  DE 
Cycle  WiSe 
Content 

Literature 
K. Buchholz, V. Kasche, U. Bornscheuer: Biocatalysts and Enzyme Technology, 2. Aufl. WileyVCH, 2012 H. Chmiel: Bioprozeßtechnik, Elsevier, 2006 R.H. Balz et al.: Manual of Industrial Microbiology and Biotechnology, 3. edition, ASM Press, 2010 H.W. Blanch, D. Clark: Biochemical Engineering, Taylor & Francis, 1997 P. M. Doran: Bioprocess Engineering Principles, 2. edition, Academic Press, 2013 Skripte für die Vorlesung 
Course L1108: Bioprocess Engineering  Advanced 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. AnPing Zeng 
Language  DE 
Cycle  WiSe 
Content 
The students present exercises and discuss them with their fellow students and faculty statt. In the PBL part of the class the students discuss scientific questions in teams. They acquire knowledge and apply it to unknown questions, present their results and argue their opinions. 
Literature 
K. Buchholz, V. Kasche, U. Bornscheuer: Biocatalysts and Enzyme Technology, 2. Aufl. WileyVCH, 2012 H. Chmiel: Bioprozeßtechnik, Elsevier, 2006 R.H. Balz et al.: Manual of Industrial Microbiology and Biotechnology, 3. edition, ASM Press, 2010 H.W. Blanch, D. Clark: Biochemical Engineering, Taylor & Francis, 1997 P. M. Doran: Bioprocess Engineering Principles, 2. edition, Academic Press, 2013 Skripte für die Vorlesung 
Module M1279: MED II: Introduction to Biochemistry and Molecular Biology 

Courses  

Module Responsible  Prof. HansJürgen Kreienkamp 
Admission Requirements  None 
Recommended Previous Knowledge  None 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
The students can

Skills 
The students can

Personal Competence  
Social Competence 
The students can participate in discussions in research and medicine on a technical level. 
Autonomy 
The students can develop understanding of topics from the course, using technical literature, by themselves. 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Credit points  3 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  60 minutes 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory Data Science: Specialisation Medicine: Compulsory Electrical Engineering: Specialisation Medical Technology: Elective Compulsory Engineering Science: Specialisation Biomedical Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory Mechanical Engineering: Specialisation Biomechanics: Compulsory Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory 
Course L0386: Introduction to Biochemistry and Molecular Biology 
Typ  Lecture 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Prof. HansJürgen Kreienkamp 
Language  DE 
Cycle  WiSe 
Content  
Literature 
MüllerEsterl, Biochemie, Spektrum Verlag, 2010; 2. Auflage Löffler, Basiswissen Biochemie, 7. Auflage, Springer, 2008 
Module M0783: Measurements: Methods and Data Processing 

Courses  

Module Responsible  Prof. Alexander Schlaefer  
Admission Requirements  None  
Recommended Previous Knowledge 
principles of mathematics 

Educational Objectives  After taking part successfully, students have reached the following learning results  
Professional Competence  
Knowledge 
The students are able to explain the purpose of metrology and the acquisition and processing of measurements. They can detail aspects of probability theory and errors, and explain the processing of stochastic signals. Students know methods to digitalize and describe measured signals. 

Skills 
The students are able to evaluate problems of metrology and to apply methods for describing and processing of measurements. 

Personal Competence  
Social Competence 
The students solve problems in small groups. 

Autonomy 
The students can reflect their knowledge and discuss and evaluate their results. 

Workload in Hours  Independent Study Time 110, Study Time in Lecture 70  
Credit points  6  
Course achievement 


Examination  Written exam  
Examination duration and scale  90 min  
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Elective Compulsory Electrical Engineering: Core Qualification: Compulsory General Engineering Science (English program, 7 semester): Specialisation Electrical Engineering: Elective Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory 
Course L0781: EE Experimental Lab 
Typ  Practical Course 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Alexander Schlaefer, Prof. RolfRainer Grigat, Prof. Herbert Werner, Dozenten des SD E, Prof. Christian Becker, Prof. Heiko Falk, Prof. Thorsten Kern, Prof. Alexander Kölpin 
Language  DE 
Cycle  WiSe 
Content  lab experiments: digital circuits, semiconductors, micro controllers, analog circuits, AC power, electrical machines 
Literature  Wird in der Lehrveranstaltung festgelegt 
Course L0779: Measurements: Methods and Data Processing 
Typ  Lecture 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Prof. Alexander Schlaefer 
Language  DE 
Cycle  WiSe 
Content 
introduction, systems and errors in metrology, probability theory, measuring stochastic signals, describing measurements, acquisition of analog signals, applied metrology 
Literature 
Puente León, Kiencke: Messtechnik, Springer 2012 
Course L0780: Measurements: Methods and Data Processing 
Typ  Recitation Section (small) 
Hrs/wk  1 
CP  1 
Workload in Hours  Independent Study Time 16, Study Time in Lecture 14 
Lecturer  Prof. Alexander Schlaefer 
Language  DE 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M0688: Technical Thermodynamics II 

Courses  

Module Responsible  Prof. Dr. Arne Speerforck 
Admission Requirements  None 
Recommended Previous Knowledge 
Elementary knowledge in Mathematics, Mechanics and Technical Thermodynamics I 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
Students are familiar with different cycle processes like Joule, Otto, Diesel, Stirling, Seiliger and ClausiusRankine. They are able to derive energetic and exergetic efficiencies and know the influence different factors. They know the difference between anti clockwise and clockwise cycles (heatpower cycle, cooling cycle). They have increased knowledge of steam cycles and are able to draw the different cycles in Thermodynamics related diagrams. They know the laws of gas mixtures, especially of humid air processes and are able to perform simple combustion calculations. They are provided with basic knowledge in gas dynamics and know the definition of the speed of sound and know about a Laval nozzle. 
Skills 
Students are able to use thermodynamic laws for the design of technical processes. Especially they are able to formulate energy, exergy and entropy balances and by this to optimise technical processes. They are able to perform simple safety calculations in regard to an outflowing gas from a tank. They are able to transform a verbal formulated message into an abstract formal procedure. 
Personal Competence  
Social Competence 
The students are able to discuss in small groups and develop an approach. 
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 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  90 min 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Core Qualification: Compulsory Bioprocess Engineering: Core Qualification: Compulsory Energy and Environmental Engineering: Core Qualification: Compulsory Energy Systems: Technical Complementary Course Core Studies: Elective Compulsory Engineering Science: Specialisation Mechanical Engineering: Elective Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering: Elective Compulsory Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory Mechanical Engineering: Core Qualification: Compulsory Mechatronics: Core Qualification: Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory Process Engineering: Core Qualification: Compulsory 
Course L0449: Technical Thermodynamics II 
Typ  Lecture 
Hrs/wk  2 
CP  4 
Workload in Hours  Independent Study Time 92, Study Time in Lecture 28 
Lecturer  Prof. Dr. Arne Speerforck 
Language  DE 
Cycle  WiSe 
Content 
8. Cycle processes 7. Gas  vapor  mixtures 10. Open sytems with constant flow rates 11. Combustion processes 12. Special fields of Thermodynamics 
Literature 

Course L0450: Technical Thermodynamics II 
Typ  Recitation Section (large) 
Hrs/wk  1 
CP  1 
Workload in Hours  Independent Study Time 16, Study Time in Lecture 14 
Lecturer  Prof. Dr. Arne Speerforck 
Language  DE 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Course L0451: Technical Thermodynamics II 
Typ  Recitation Section (small) 
Hrs/wk  1 
CP  1 
Workload in Hours  Independent Study Time 16, Study Time in Lecture 14 
Lecturer  Prof. Dr. Arne Speerforck 
Language  DE 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M0568: Theoretical Electrical Engineering II: TimeDependent Fields 

Courses  

Module Responsible  Prof. Christian Schuster 
Admission Requirements  None 
Recommended Previous Knowledge 
Electrical Engineering I, Electrical Engineering II, Theoretical Electrical Engineering I Mathematics I, Mathematics II, Mathematics III, Mathematics IV 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
Students are able to explain fundamental formulas, relations, and methods related to the theory of timedependent electromagnetic fields. They can assess the principal behavior and characteristics of quasistationary and fully dynamic fields with regard to respective sources. They can describe the properties of complex electromagnetic fields by means of superposition of solutions for simple fields. The students are aware of applications for the theory of timedependent electromagnetic fields and are able to explicate these. 
Skills 
Students are able to apply a variety of procedures in order to solve the diffusion and the wave equation for general timedependent field problems. They can assess the principal effects of given timedependent sources of fields and analyze these quantitatively. They can deduce meaningful quantities for the characterization of fully dynamic fields (wave impedance, skin depth, Poyntingvector, radiation resistance, etc.) from given fields and interpret them with regard to practical applications. 
Personal Competence  
Social Competence 
Students are able to work together on subject related tasks in small groups. They are able to present their results effectively (e.g. during exercise sessions). 
Autonomy 
Students are capable to gather necessary information from provided references and relate this information to the lecture. They are able to continually reflect their knowledge by means of activities that accompany the lecture, such as short oral quizzes during the lectures and exercises that are related to the exam. Based on respective feedback, students are expected to adjust their individual learning process. They are able to draw connections between acquired knowledge and ongoing research at the Hamburg University of Technology (TUHH), e.g. in the area of high frequency engineering and optics. 
Workload in Hours  Independent Study Time 110, Study Time in Lecture 70 
Credit points  6 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  90150 minutes 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Compulsory Electrical Engineering: Core Qualification: Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory 
Course L0182: Theoretical Electrical Engineering II: TimeDependent Fields 
Typ  Lecture 
Hrs/wk  3 
CP  5 
Workload in Hours  Independent Study Time 108, Study Time in Lecture 42 
Lecturer  Prof. Christian Schuster 
Language  DE 
Cycle  WiSe 
Content 
 Theory and principal characteristics of quasistationary electromagnetic fields  Electromagnetic induction and law of induction  Skin effect and eddy currents  Shielding of time variable magnetic fields  Theory and principal characteristics of fully dynamic electromagnetic fields  Wave equations and properties of planar waves  Polarization and superposition of planar waves  Reflection and refraction of planar waves at boundary surfaces  Waveguide theory  Rectangular waveguide, planar optical waveguide  Elektrical and magnetical dipol radiation  Simple arrays of antennas The practical application of numerical methods will be trained within specifically prepared lectures in an interactive manner using small MATLAB programs. 
Literature 
 G. Lehner, "Elektromagnetische Feldtheorie: Für Ingenieure und Physiker", Springer (2010)  H. Henke, "Elektromagnetische Felder: Theorie und Anwendung", Springer (2011)  W. Nolting, "Grundkurs Theoretische Physik 3: Elektrodynamik", Springer (2011)  D. Griffiths, "Introduction to Electrodynamics", Pearson (2012)  J. Edminister, "Schaum's Outline of Electromagnetics", McgrawHill (2013)  Richard Feynman, "Feynman Lectures on Physics: Volume 2", Basic Books (2011) 
Course L0183: Theoretical Electrical Engineering II: TimeDependent Fields 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  1 
Workload in Hours  Independent Study Time 2, Study Time in Lecture 28 
Lecturer  Prof. Christian Schuster 
Language  DE 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M0538: Heat and Mass Transfer 

Courses  

Module Responsible  Prof. Irina Smirnova 
Admission Requirements  None 
Recommended Previous Knowledge 
Basic knowledge: Technical Thermodynamics 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 

Skills 

Personal Competence  
Social Competence 

Autonomy 

Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Credit points  6 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  120 minutes; theoretical questions and calculations 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Process Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Bioprocess Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Green Technologies: Compulsory General Engineering Science (German program, 7 semester): Specialisation Energy and Enviromental Engineering: Compulsory Bioprocess Engineering: Core Qualification: Compulsory Energy and Environmental Engineering: Core Qualification: Compulsory General Engineering Science (English program, 7 semester): Specialisation Bioprocess Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Energy and Enviromental Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Process Engineering: Compulsory Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory Process Engineering: Core Qualification: Compulsory 
Course L0101: Heat and Mass Transfer 
Typ  Lecture 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Irina Smirnova 
Language  DE 
Cycle  WiSe 
Content 

Literature 

Course L0102: Heat and Mass Transfer 
Typ  Recitation Section (small) 
Hrs/wk  1 
CP  2 
Workload in Hours  Independent Study Time 46, Study Time in Lecture 14 
Lecturer  Prof. Irina Smirnova 
Language  DE 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Course L1868: Heat and Mass Transfer 
Typ  Recitation Section (large) 
Hrs/wk  1 
CP  2 
Workload in Hours  Independent Study Time 46, Study Time in Lecture 14 
Lecturer  Prof. Irina Smirnova 
Language  DE 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M0675: Introduction to Communications and Random Processes 

Courses  

Module Responsible  Prof. Gerhard Bauch 
Admission Requirements  None 
Recommended Previous Knowledge 

Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge  The students know and understand the fundamental building blocks of a communications system. They can describe and analyse the individual building blocks using knowledge of signal and system theory as well as the theory of stochastic processes. The are aware of the essential resources and evaluation criteria of information transmission and are able to design and evaluate a basic communications system. 
Skills  The students are able to design and evaluate a basic communications system. In particular, they can estimate the required resources in terms of bandwidth and power. They are able to assess essential evaluation parameters of a basic communications system such as bandwidth efficiency or bit error rate and to decide for a suitable transmission method. 
Personal Competence  
Social Competence 
The students can jointly solve specific problems. 
Autonomy 
The students are able to acquire relevant information from appropriate literature sources. They can control their level of knowledge during the lecture period by solving tutorial problems, software tools, clicker system. 
Workload in Hours  Independent Study Time 110, Study Time in Lecture 70 
Credit points  6 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  90 min 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Compulsory Computer Science: Specialisation Computer and Software Engineering: Elective Compulsory Computer Science: Specialisation Computational Mathematics: Elective Compulsory Data Science: Core Qualification: Elective Compulsory Electrical Engineering: Core Qualification: Compulsory General Engineering Science (English program, 7 semester): Specialisation Electrical Engineering: Compulsory Computational Science and Engineering: Core Qualification: Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory 
Course L0442: Introduction to Communications and Random Processes 
Typ  Lecture 
Hrs/wk  3 
CP  4 
Workload in Hours  Independent Study Time 78, Study Time in Lecture 42 
Lecturer  Prof. Gerhard Bauch 
Language  DE/EN 
Cycle  WiSe 
Content 

Literature 
K. Kammeyer: Nachrichtenübertragung, Teubner P.A. Höher: Grundlagen der digitalen Informationsübertragung, Teubner. M. Bossert: Einführung in die Nachrichtentechnik, Oldenbourg. J.G. Proakis, M. Salehi: Grundlagen der Kommunikationstechnik. Pearson Studium. J.G. Proakis, M. Salehi: Digital Communications. McGrawHill. S. Haykin: Communication Systems. Wiley J.G. Proakis, M. Salehi: Communication Systems Engineering. PrenticeHall. J.G. Proakis, M. Salehi, G. Bauch, Contemporary Communication Systems. Cengage Learning. 
Course L0443: Introduction to Communications and Random Processes 
Typ  Recitation Section (large) 
Hrs/wk  1 
CP  1 
Workload in Hours  Independent Study Time 16, Study Time in Lecture 14 
Lecturer  Prof. Gerhard Bauch 
Language  DE/EN 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Course L2354: Introduction to Communications and Random Processes 
Typ  Recitation Section (small) 
Hrs/wk  1 
CP  1 
Workload in Hours  Independent Study Time 16, Study Time in Lecture 14 
Lecturer  Prof. Gerhard Bauch 
Language  DE/EN 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M0959: Mechanics III (Dynamics) 

Courses  

Module Responsible  Prof. Robert Seifried 
Admission Requirements  None 
Recommended Previous Knowledge 
Mathematics I, II, Mechanics I (Statics) 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
The students can

Skills 
The students can

Personal Competence  
Social Competence 
The students can work in groups and support each other to overcome difficulties. 
Autonomy 
Students are capable of determining their own strengths and weaknesses and to organize their time and learning based on those. 
Workload in Hours  Independent Study Time 96, Study Time in Lecture 84 
Credit points  6 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  120 min 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Core Qualification: Compulsory Data Science: Core Qualification: Elective Compulsory Digital Mechanical Engineering: Core Qualification: Compulsory Energy and Environmental Engineering: Core Qualification: Elective Compulsory Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory Mechanical Engineering: Core Qualification: Compulsory Mechatronics: Core Qualification: Compulsory Naval Architecture: Core Qualification: Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory 
Course L1134: Mechanics III (Dynamics) 
Typ  Lecture 
Hrs/wk  3 
CP  3 
Workload in Hours  Independent Study Time 48, Study Time in Lecture 42 
Lecturer  Prof. Robert Seifried 
Language  DE 
Cycle  WiSe 
Content 
Kinematics
Dynamics
Vibrations 
Literature 
K. Magnus, H.H. MüllerSlany: Grundlagen der Technischen Mechanik. 7. Auflage, Teubner (2009). D. Gross, W. Hauger, J. Schröder, W. Wall: Technische Mechanik 3 und 4. 11. Auflage, Springer (2011). 
Course L1135: Mechanics III (Dynamics) 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Robert Seifried 
Language  DE 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Course L1136: Mechanics III (Dynamics) 
Typ  Recitation Section (large) 
Hrs/wk  1 
CP  1 
Workload in Hours  Independent Study Time 16, Study Time in Lecture 14 
Lecturer  Prof. Robert Seifried 
Language  DE 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M0655: Computational Fluid Dynamics I 

Courses  

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 
The students are able to list the basic numerics of partial differential equations. 
Skills 
The students are able develop appropriate numerical integration in space and time for the governing partial differential equations. They can code computational algorithms in a structured way. 
Personal Competence  
Social Competence 
The students can arrive at work results in groups and document them. 
Autonomy 
The students can independently analyse approaches to solving specific problems. 
Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Credit points  6 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  2h 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Elective Compulsory General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Elective Compulsory General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Elective Compulsory General Engineering Science (German program, 7 semester): Specialisation Naval Architecture: Compulsory General Engineering Science (German program, 7 semester): Specialisation Energy and Enviromental Engineering: Compulsory Energy Systems: Technical Complementary Course Core Studies: Elective Compulsory General Engineering Science (English program, 7 semester): Specialisation Energy and Enviromental Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Elective Compulsory General Engineering Science (English program, 7 semester): Specialisation Naval Architecture: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Elective Compulsory Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory Naval Architecture: Core Qualification: Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory 
Course L0235: Computational Fluid Dynamics I 
Typ  Lecture 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Prof. Thomas Rung 
Language  DE 
Cycle  WiSe 
Content 
Fundamentals of computational modelling of thermofluid dynamic problems. Development of numerical algorithms.

Literature 
Ferziger and Peric: Computational Methods for Fluid Dynamics, Springer 
Course L0419: Computational Fluid Dynamics I 
Typ  Recitation Section (large) 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Prof. Thomas Rung 
Language  DE 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M0833: Introduction to Control Systems 

Courses  

Module Responsible  Prof. Herbert Werner 
Admission Requirements  None 
Recommended Previous Knowledge 
Representation of signals and systems in time and frequency domain, Laplace transform 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 

Skills 

Personal Competence  
Social Competence  Students can work in small groups to jointly solve technical problems, and experimentally validate their controller designs 
Autonomy 
Students can obtain information from provided sources (lecture notes, software documentation, experiment guides) and use it when solving given problems. They can assess their knowledge in weekly online tests and thereby control their learning progress. 
Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Credit points  6 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  120 min 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Core Qualification: Compulsory Bioprocess Engineering: Core Qualification: Compulsory Computer Science: Specialisation Computational Mathematics: Elective Compulsory Data Science: Core Qualification: Elective Compulsory Electrical Engineering: Core Qualification: Compulsory Energy and Environmental Engineering: Core Qualification: Compulsory General Engineering Science (English program, 7 semester): Specialisation Electrical Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Civil Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Bioprocess Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Energy and Enviromental Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Computer Science: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Materials in Engineering Sciences: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Naval Architecture: Compulsory General Engineering Science (English program, 7 semester): Specialisation Process Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Compulsory Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory Computational Science and Engineering: Core Qualification: Compulsory Logistics and Mobility: Specialisation Engineering Science: Elective Compulsory Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Mechanical Engineering: Core Qualification: Compulsory Mechatronics: Core Qualification: Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course Core Studies: Elective Compulsory Process Engineering: Core Qualification: Compulsory Engineering and Management  Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Engineering and Management  Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Engineering and Management  Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory 
Course L0654: Introduction to Control Systems 
Typ  Lecture 
Hrs/wk  2 
CP  4 
Workload in Hours  Independent Study Time 92, Study Time in Lecture 28 
Lecturer  Prof. Herbert Werner 
Language  DE 
Cycle  WiSe 
Content 
Signals and systems
Feedback systems
Root locus techniques
Frequency response techniques
Time delay systems
Digital control
Software tools

Literature 

Course L0655: Introduction to Control Systems 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Herbert Werner 
Language  DE 
Cycle  WiSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M1333: BIO I: Implants and Fracture Healing 

Courses  

Module Responsible  Prof. Michael Morlock 
Admission Requirements  None 
Recommended Previous Knowledge 
It is recommended to participate in "Introduction into Anatomie" before attending "Implants and Fracture Healing". 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
The
students can describe the different ways how bones heal, and the requirements
for their existence.
The students can name different treatments for the spine and hollow bones under given fracture morphologies. 
Skills 
The students can determine the forces acting within the human body under quasistatic situations under specific assumptions. 
Personal Competence  
Social Competence 
The students can, in groups, solve basic numerical modeling tasks for the calculation of internal forces. 
Autonomy 
The students can, in groups, solve basic numerical modeling tasks for the calculation of internal forces. 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Credit points  3 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  90 min 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory Engineering Science: Specialisation Biomedical Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory Mechanical Engineering: Specialisation Biomechanics: Compulsory Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory Orientation Studies: Core Qualification: Elective Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory 
Course L0376: Implants and Fracture Healing 
Typ  Lecture 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Prof. Michael Morlock 
Language  DE 
Cycle  WiSe 
Content 
Topics to be covered include: 1. Introduction (history, definitions, background importance) 2. Bone (anatomy, properties, biology, adaptations in femur, tibia, humerus, radius) 3. Spine (anatomy, biomechanics, function, vertebral bodies, intervertebral disc, ligaments) 3.1 The spine in its entirety 3.2 Cervical spine 3.3 Thoracic spine 3.4 Lumbar spine 3.5 Injuries and diseases 4. Pelvis (anatomy, biomechanics, fracture treatment) 5 Fracture Healing 5.1 Basics and biology of fracture repair 5.2 Clinical principals and terminology of fracture treatment 5.3 Biomechanics of fracture treatment 5.3.1 Screws 5.3.2 Plates 5.3.3 Nails 5.3.4 External fixation devices 5.3.5 Spine implants 6.0 New Implants 
Literature 
Cochran V.B.: Orthopädische Biomechanik Mow V.C., Hayes W.C.: Basic Orthopaedic Biomechanics White A.A., Panjabi M.M.: Clinical biomechanics of the spine Nigg, B.: Biomechanics of the musculoskeletal system Schiebler T.H., Schmidt W.: Anatomie Platzer: dtvAtlas der Anatomie, Band 1 Bewegungsapparat 
Module M0708: Electrical Engineering III: Circuit Theory and Transients 

Courses  

Module Responsible  Prof. Alexander Kölpin 
Admission Requirements  None 
Recommended Previous Knowledge 
Electrical Engineering I and II, Mathematics I and II 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
Students are able to explain the basic methods for calculating electrical circuits. They know the Fourier series analysis of linear networks driven by periodic signals. They know the methods for transient analysis of linear networks in time and in frequency domain, and they are able to explain the frequency behaviour and the synthesis of passive twoterminalcircuits. 
Skills 
The students are able to calculate currents and voltages in linear networks by means of basic methods, also when driven by periodic signals. They are able to calculate transients in electrical circuits in time and frequency domain and are able to explain the respective transient behaviour. They are able to analyse and to synthesize the frequency behaviour of passive twoterminalcircuits. 
Personal Competence  
Social Competence 
Students work on exercise tasks in small guided groups. They are encouraged to present and discuss their results within the group. 
Autonomy 
The students are able to find out the required methods for solving the given practice problems. Possibilities are given to test their knowledge during the lectures continuously by means of shorttime tests. This allows them to control independently their educational objectives. They can link their gained knowledge to other courses like Electrical Engineering I and Mathematics I. 
Workload in Hours  Independent Study Time 110, Study Time in Lecture 70 
Credit points  6 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  150 min 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Compulsory Electrical Engineering: Core Qualification: Compulsory Engineering Science: Specialisation Electrical Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory Computational Science and Engineering: Specialisation II. Mathematics & Engineering Science: Elective Compulsory Mechatronics: Core Qualification: Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory 
Course L0566: Circuit Theory 
Typ  Lecture 
Hrs/wk  3 
CP  4 
Workload in Hours  Independent Study Time 78, Study Time in Lecture 42 
Lecturer  Prof. Alexander Kölpin, Dr. Fabian Lurz 
Language  DE 
Cycle  WiSe 
Content 
 Circuit theorems  Nport circuits  Periodic excitation of linear circuits  Transient analysis in time domain  Transient analysis in frequency domain; Laplace Transform  Frequency behaviour of passive oneports 
Literature 
 M. Albach, "Grundlagen der Elektrotechnik 1", Pearson Studium (2011)  M. Albach, "Grundlagen der Elektrotechnik 2", Pearson Studium (2011)  L. P. Schmidt, G. Schaller, S. Martius, "Grundlagen der Elektrotechnik 3", Pearson Studium (2011)  T. Harriehausen, D. Schwarzenau, "Moeller Grundlagen der Elektrotechnik", Springer (2013)  A. Hambley, "Electrical Engineering: Principles and Applications", Pearson (2008) R. C. Dorf, J. A. Svoboda, "Introduction to electrical circuits", Wiley (2006)  L. Moura, I. Darwazeh, "Introduction to Linear Circuit Analysis and Modeling", Amsterdam Newnes (2005) 
Course L0567: Circuit Theory 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Alexander Kölpin, Dr. Fabian Lurz 
Language  DE 
Cycle  WiSe 
Content  see interlocking course 
Literature 
siehe korrespondierende Lehrveranstaltung see interlocking course 
Module M0755: Geotechnics II 

Courses  

Module Responsible  Prof. Jürgen Grabe  
Admission Requirements  None  
Recommended Previous Knowledge 
Modules:


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

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


Personal Competence  
Social Competence  
Autonomy  
Workload in Hours  Independent Study Time 96, Study Time in Lecture 84  
Credit points  6  
Course achievement 


Examination  Written exam  
Examination duration and scale  60 minutes  
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Civil Engineering: Elective Compulsory General Engineering Science (German program, 7 semester): Specialisation Civil Engineering: Elective Compulsory Civil and Environmental Engineering: Core Qualification: Compulsory Civil and Environmental Engineering: Specialisation Civil Engineering: Compulsory Civil and Environmental Engineering: Specialisation Traffic and Mobility: Elective Compulsory Civil and Environmental Engineering: Specialisation Water and Environment: Elective Compulsory General Engineering Science (English program, 7 semester): Specialisation Civil Engineering: Elective Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory 
Course L0552: Foundation Engineering 
Typ  Lecture 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Jürgen Grabe 
Language  DE 
Cycle 
WiSe/ 
Content 

Literature 

Course L0553: Foundation Engineering 
Typ  Recitation Section (large) 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Jürgen Grabe 
Language  DE 
Cycle 
WiSe/ 
Content  See interlocking course 
Literature  See interlocking course 
Course L1494: Foundation Engineering 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Jürgen Grabe 
Language  DE 
Cycle 
WiSe/ 
Content  See interlocking course 
Literature  See interlocking course 
Module M0807: Boundary Element Methods 

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) 

Educational Objectives  After taking part successfully, students have reached the following learning results  
Professional Competence  
Knowledge 
The students possess an indepth 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 
Students can work in small groups on specific problems to arrive at joint solutions. 

Autonomy 
The students are able to independently solve challenging computational problems and develop own 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  
Course achievement 


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 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 Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Simulation Technology: 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  Handson 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 M0734: Electrical Engineering Project Laboratory 

Courses  

Module Responsible  Prof. Christian Becker 
Admission Requirements  None 
Recommended Previous Knowledge 
Electrical Engineering I, Electrical Engineering II 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
Students are able to give a summary of the technical details of projects in the area of electrical engineering and illustrate respective relationships. They are capable of describing and communicating relevant problems and questions using appropriate technical language. They can explain the typical process of solving practical problems and present related results. 
Skills 
The students can transfer their fundamental knowledge on electrical engineering to the process of solving practical problems. They identify and overcome typical problems during the realization of projects in the context of electrical engineering. Students are able to develop, compare, and choose conceptual solutions for nonstandardized problems. 
Personal Competence  
Social Competence 
Students are able to cooperate in small, mixedsubject groups in order to independently derive solutions to given problems in the context of electrical engineering. They are able to effectively present and explain their results alone or in groups in front of a qualified audience. Students have the ability to develop alternative approaches to an electrical engineering problem independently or in groups and discuss advantages as well as drawbacks. 
Autonomy 
Students are capable of independently solving electrical engineering problems using provided literature. They are able to fill gaps in as well as extent their knowledge using the literature and other sources provided by the supervisor. Furthermore, they can meaningfully extend given problems and pragmatically solve them by means of corresponding solutions and concepts. 
Workload in Hours  Independent Study Time 68, Study Time in Lecture 112 
Credit points  6 
Course achievement  None 
Examination  Subject theoretical and practical work 
Examination duration and scale  based on task + presentation 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Compulsory Electrical Engineering: Core Qualification: Compulsory Engineering Science: Specialisation Electrical Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Electrical Engineering: Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory 
Course L0640: Electrical Engineering Project Laboratory 
Typ  Project/problembased Learning 
Hrs/wk  8 
CP  6 
Workload in Hours  Independent Study Time 68, Study Time in Lecture 112 
Lecturer  Prof. Christian Becker, Dozenten des SD E 
Language  DE 
Cycle  SoSe 
Content 
Topics and projects cover the entire field of applications of electrical engineering. Typically, the students will prototype functional units and selfcontained systems, such as radar devices, networks of sensors, amateur radio transceiver, power electronics based inverters, discrete computers, or atomic force microscopes. Different projects are devised on a yearly basis. 
Literature 
Alle zur Durchführung der Projekte sinnvollen Quellen (Skripte, Fachbücher, Manuals, Datenblätter, Internetseiten). / All sources that are useful for completion of the projects (lecture notes, textbooks, manuals, data sheets, internet pages). 
Module M1280: MED II: Introduction to Physiology 

Courses  

Module Responsible  Dr. Roger Zimmermann 
Admission Requirements  None 
Recommended Previous Knowledge  None 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
The students can

Skills  The students can describe the effects of basic bodily functions (sensory, transmission and processing of information, development of forces and vital functions) and relate them to similar technical systems. 
Personal Competence  
Social Competence 
The students can conduct discussions in research and medicine on a
technical level.
The students can find solutions to problems in the field of physiology, both analytical and metrological. 
Autonomy 
The students can derive answers to questions arising in the course and other physiological areas, using technical literature, by themselves. 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Credit points  3 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  60 minutes 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory Data Science: Specialisation Medicine: Compulsory Electrical Engineering: Specialisation Medical Technology: Elective Compulsory Engineering Science: Specialisation Biomedical Engineering: Elective Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Elective Compulsory Mechanical Engineering: Specialisation Biomechanics: Compulsory Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory 
Course L0385: Introduction to Physiology 
Typ  Lecture 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Dr. Gerhard Engler 
Language  DE 
Cycle  SoSe 
Content  
Literature 
Taschenatlas der Physiologie, Silbernagl Despopoulos, ISBN 9783135677071, Thieme Repetitorium Physiologie, Speckmann, ISBN 9783437423215, Elsevier 
Module M0805: Technical Acoustics I (Acoustic Waves, Noise Protection, Psycho Acoustics ) 

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 indepth 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 theorybased application of the demanding methodologies and measurement procedures treated within the module. 
Personal Competence  
Social Competence 
Students can work in small groups on specific problems to arrive at joint solutions. 
Autonomy 
The students are able to independently solve challenging acoustical problems in the areas treated within the module. Possible conflicting issues and limitations can be identified and the results are critically scrutinized. 
Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Credit points  6 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  90 min 
Assignment for the Following Curricula 
Energy Systems: Core Qualification: Elective Compulsory Aircraft Systems Engineering: Core Qualification: 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: Specialisation III. Engineering Science: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Product Development and Production: 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 M1005: Enhanced Fundamentals of Materials Science 

Courses  

Module Responsible  Prof. Gerold Schneider 
Admission Requirements  None 
Recommended Previous Knowledge 
Module "Fundamentals of Materials Science" Module "Materials Science Laboratory"Module "Advanced Materials" 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
The students are able to give an enhanced overview over the following topics 
Skills 
The students are able to apply the appropriate physical and chemical methods for the above mentioned subjects. 
Personal Competence  
Social Competence  
Autonomy 
The students are capable to understand independently the structure and propeties of ceramics, metals and polymers. They should be able to critally evaluate the profoundness of their knowledge. 
Workload in Hours  Independent Study Time 110, Study Time in Lecture 70 
Credit points  6 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  180 min 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Materials in Engineering Sciences: Compulsory Data Science: Core Qualification: Elective Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Materials in Engineering Sciences: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Compulsory Mechanical Engineering: Specialisation Materials in Engineering Sciences: Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory 
Course L1233: Enhanced Fundamentals: Ceramics and Polymers 
Typ  Lecture 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Gerold Schneider, Prof. Robert Meißner 
Language  DE/EN 
Cycle  SoSe 
Content 
1. Einführung Natürliche „Keramiken“  Steine 2. Pulverherstellung Einteilung der
Pulversyntheseverfahren Pulveraufbereitung Mahltechnik 3. Formgebung Arten der Formgebung 4. Sintern Triebkraft des Sinterns 5. Mechanische Eigenschaften von Keramiken Elastisches und plastisches
Materialverhalten 6. Elektrische Eigenschaften von Keramiken Ferroelektische Keramiken Piezo, ferroelektrische
Materialeigenschaften Keramische Ionenleiter Ionische Leitfähigkeit 
Literature 
D R H Jones, Michael F. Ashby, Engineering Materials 1, An Introduction to Properties, Applications and Design, Elesevier D.W. Richerson, Modern Ceramic Engineering, Marcel Decker, New York, 1992 W.D. Kingery, Introduction to Ceramics, John Wiley & Sons, New York, 1975 D.J. Green, An introduction to the mechanical properties of ceramics”, Cambridge University Press, 1998 D. Munz, T. Fett, Ceramics, Springer, 2001 Polymerwerkstoffe Kunststoffphysik Werkstoffkunde
Kunststoffe KunststoffKompendium 
Course L1234: Enhanced Fundamentals: Ceramics and Polymers 
Typ  Recitation Section (large) 
Hrs/wk  1 
CP  1 
Workload in Hours  Independent Study Time 16, Study Time in Lecture 14 
Lecturer  Prof. Gerold Schneider, Prof. Robert Meißner 
Language  DE/EN 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Course L1086: Enhanced Fundamentals: Metals 
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 
Advanced understanding of metals: 
Literature 
 Vorlesungsskript  W.D. Callister, „Materialwissenschaften und Werkstofftechnik “, WileyVCH 2012  Carl H. Hamann, Wolf Vielstich, "Elektrochemie", WileyVCH; 4. Auflage 2005  Kurzweil, Dietlmeier,
"Elektrochemische Speicher"
Springer Vieweg (2015)  B. D.
Cullity, C.D. Graham,
"Introduction to magnetic materials",
John Wiley & Sons, 2011  D. Jiles, "Introduction to magnetism and magnetic materials", CRC press, 2015 
Module M0606: Numerical Algorithms in Structural Mechanics 

Courses  

Module Responsible  Prof. Alexander Düster 
Admission Requirements  None 
Recommended Previous Knowledge 
Knowledge of partial differential equations is recommended. 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
Students are able to 
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 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  2h 
Assignment for the Following Curricula 
Materials Science: Specialisation Modeling: Elective Compulsory Naval Architecture and Ocean Engineering: Core Qualification: Elective Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Simulation Technology: Elective Compulsory 
Course L0284: Numerical Algorithms in Structural Mechanics 
Typ  Lecture 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Prof. Alexander Düster 
Language  DE 
Cycle  SoSe 
Content 
1. Motivation 
Literature 
[1] D. Yang, C++ and objectoriented 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 M0594: Fundamentals of Mechanical Engineering Design 

Courses  

Module Responsible  Prof. Dieter Krause 
Admission Requirements  None 
Recommended Previous Knowledge 

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 

Autonomy 

Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Credit points  6 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  120 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Core Qualification: Compulsory Digital Mechanical Engineering: Core Qualification: Compulsory Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory Logistics and Mobility: Core Qualification: Compulsory Mechanical Engineering: Core Qualification: Compulsory Mechatronics: Core Qualification: Compulsory Orientation Studies: Core Qualification: Elective Compulsory Naval Architecture: Core Qualification: Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory 
Course L0258: Fundamentals of Mechanical Engineering Design 
Typ  Lecture 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Prof. Dieter Krause, Prof. Josef Schlattmann, Prof. Otto von Estorff, Prof. Sören Ehlers 
Language  DE 
Cycle  SoSe 
Content 
Lecture
Exercise

Literature 

Course L0259: Fundamentals of Mechanical Engineering Design 
Typ  Recitation Section (large) 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Prof. Dieter Krause, Prof. Josef Schlattmann, Prof. Otto von Estorff, Prof. Sören Ehlers 
Language  DE 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M0960: Mechanics IV (Oscillations, Analytical Mechanics, Multibody Systems, Numerical Mechanics) 

Courses  

Module Responsible  Prof. Robert Seifried 
Admission Requirements  None 
Recommended Previous Knowledge 
Mathematics IIII and Mechanics IIII 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
The students can

Skills 
The students can

Personal Competence  
Social Competence 
The students can work in groups and support each other to overcome difficulties. 
Autonomy 
Students are capable of determining their own strengths and weaknesses and to organize their time and learning based on those. 
Workload in Hours  Independent Study Time 96, Study Time in Lecture 84 
Credit points  6 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  120 min 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Naval Architecture: Compulsory Energy Systems: Technical Complementary Course Core Studies: Elective Compulsory Mechanical Engineering: Core Qualification: Compulsory Mechatronics: Core Qualification: Compulsory Naval Architecture: Core Qualification: Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course Core Studies: Elective Compulsory 
Course L1137: Mechanics IV (Oscillations, Analytical Mechanics, Numerical Mechanics) 
Typ  Lecture 
Hrs/wk  3 
CP  3 
Workload in Hours  Independent Study Time 48, Study Time in Lecture 42 
Lecturer  Prof. Robert Seifried 
Language  DE 
Cycle  SoSe 
Content 

Literature 
K. Magnus, H.H. MüllerSlany: Grundlagen der Technischen Mechanik. 7. Auflage, Teubner (2009). W. Schiehlen, P. Eberhard: Technische Dynamik, Springer (2012). 
Course L1138: Mechanics IV (Oscillations, Analytical Mechanics, Numerical Mechanics) 
Typ  Recitation Section (small) 
Hrs/wk  2 
CP  2 
Workload in Hours  Independent Study Time 32, Study Time in Lecture 28 
Lecturer  Prof. Robert Seifried 
Language  DE 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Course L1139: Mechanics IV (Oscillations, Analytical Mechanics, Numerical Mechanics) 
Typ  Recitation Section (large) 
Hrs/wk  1 
CP  1 
Workload in Hours  Independent Study Time 16, Study Time in Lecture 14 
Lecturer  Prof. Robert Seifried 
Language  DE 
Cycle  SoSe 
Content  See interlocking course 
Literature  See interlocking course 
Module M0777: Semiconductor Circuit Design 

Courses  

Module Responsible  Prof. Matthias Kuhl 
Admission Requirements  None 
Recommended Previous Knowledge 
Fundamentals of electrical engineering Basics of physics, especially semiconductor physics 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 

Skills 

Personal Competence  
Social Competence 

Autonomy 

Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Credit points  6 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  120 min 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory Data Science: Core Qualification: Elective Compulsory Electrical Engineering: Core Qualification: Compulsory Engineering Science: Specialisation Electrical Engineering: Compulsory Engineering Science: Specialisation Mechatronics: Compulsory General Engineering Science (English program, 7 semester): Specialisation Electrical Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechatronics: Compulsory Computational Science and Engineering: Specialisation II. Mathematics & Engineering Science: Elective Compulsory Mechanical Engineering: Specialisation Mechatronics: Compulsory Mechatronics: Core Qualification: Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory 
Course L0763: Semiconductor Circuit Design 
Typ  Lecture 
Hrs/wk  3 
CP  4 
Workload in Hours  Independent Study Time 78, Study Time in Lecture 42 
Lecturer  Prof. Matthias Kuhl 
Language  DE 
Cycle  SoSe 
Content 

Literature 
U. Tietze und Ch. Schenk, E. Gamm, Halbleiterschaltungstechnik, Springer Verlag, 14. Auflage, 2012, ISBN 3540428496 R. J. Baker, CMOS  Circuit Design, Layout and Simulation, J. Wiley & Sons Inc., 3. Auflage, 2011, ISBN: 047170055S H. Göbel, Einführung in die HalbleiterSchaltungstechnik, Berlin, Heidelberg SpringerVerlag Berlin Heidelberg, 2011, ISBN: 9783642208874 ISBN: 9783642208867 URL: http://site.ebrary.com/lib/alltitles/docDetail.action?docID=10499499 URL: http://dx.doi.org/10.1007/9783642208874 URL: http://ebooks.ciando.com/book/index.cfm/bok_id/319955 URL: http://www.ciando.com/img/bo 
Course L0864: Semiconductor Circuit Design 
Typ  Recitation Section (small) 
Hrs/wk  1 
CP  2 
Workload in Hours  Independent Study Time 46, Study Time in Lecture 14 
Lecturer  Prof. Matthias Kuhl, Weitere Mitarbeiter 
Language  DE 
Cycle  SoSe 
Content 

Literature 
U. Tietze und Ch. Schenk, E. Gamm, Halbleiterschaltungstechnik, Springer Verlag, 14. Auflage, 2012, ISBN 3540428496 R. J. Baker, CMOS  Circuit Design, Layout and Simulation, J. Wiley & Sons Inc., 3. Auflage, 2011, ISBN: 047170055S H. Göbel, Einführung in die HalbleiterSchaltungstechnik, Berlin, Heidelberg SpringerVerlag Berlin Heidelberg, 2011, ISBN: 9783642208874 ISBN: 9783642208867 URL: http://site.ebrary.com/lib/alltitles/docDetail.action?docID=10499499 URL: http://dx.doi.org/10.1007/9783642208874 URL: http://ebooks.ciando.com/book/index.cfm/bok_id/319955 URL: http://www.ciando.com/img/bo 
Module M1332: BIO I: Experimental Methods in Biomechanics 

Courses  

Module Responsible  Prof. Michael Morlock 
Admission Requirements  None 
Recommended Previous Knowledge 
It is recommended to participate in "Implantate und Frakturheilung" before attending "Experimentelle Methoden". 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
The students can describe the different ways how bones heal, and the
requirements for their existence.
The students can name different treatments for the spine and hollow bones under given fracture morphologies. The students can describe different measurement techniques for forces and movements, and choose the adequate technique for a given task. 
Skills 
The students can describe the basic handling of several experimental techniques used in biomechanics. 
Personal Competence  
Social Competence 
The students can, in groups, solve basic experimental tasks. 
Autonomy 
The students can, in groups, solve basic experimental tasks. 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Credit points  3 
Course achievement  None 
Examination  Written exam 
Examination duration and scale  90 min 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory Engineering Science: Specialisation Biomedical Engineering: Elective Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Elective Compulsory Mechanical Engineering: Specialisation Biomechanics: Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory 
Course L0377: Experimental Methods in Biomechanics 
Typ  Lecture 
Hrs/wk  2 
CP  3 
Workload in Hours  Independent Study Time 62, Study Time in Lecture 28 
Lecturer  Prof. Michael Morlock 
Language  DE 
Cycle  SoSe 
Content  
Literature 
Wird in der Veranstaltung bekannt gegeben 
Module M0604: HighOrder FEM 

Courses  

Module Responsible  Prof. Alexander Düster  
Admission Requirements  None  
Recommended Previous Knowledge 
Knowledge of partial differential equations is recommended. 

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

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  
Course achievement 


Examination  Written exam  
Examination duration and scale  120 min  
Assignment for the Following Curricula 
Energy Systems: Core Qualification: Elective Compulsory International Management and Engineering: Specialisation II. Product Development and Production: Elective Compulsory Materials Science: Specialisation Modeling: Elective Compulsory Mechanical Engineering and Management: Specialisation Product Development and Production: Elective Compulsory Mechatronics: Technical Complementary Course: Elective Compulsory Product Development, Materials and Production: Core Qualification: Elective Compulsory Naval Architecture and Ocean Engineering: Core Qualification: Elective Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory Theoretical Mechanical Engineering: Core Qualification: Elective Compulsory 
Course L0280: HighOrder 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, HighOrder FEM, Lecture Notes, Technische Universität HamburgHarburg, 164 pages, 2014 
Course L0281: HighOrder 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 M1573: Modeling, Simulation and Optimization (EN) 

Courses  

Module Responsible  Prof. Benedikt Kriegesmann 
Admission Requirements  None 
Recommended Previous Knowledge 
Sound knowledge of engineering mathematics, engineering mechanics and fluid mechanics 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
Students will have an overview of various technical problems and the differential equations, which describe them. Students will gave an overview of different solution approaches and for which kind of problems they can be used for. 
Skills 
Students are able to solve different technical problems with the introduced discretization methods. 
Personal Competence  
Social Competence 
The students are able to discuss problems and jointly develop solution strategies. 
Autonomy 
The students are able to develop solution strategies for complex problems selfconsistent and critically analyse results. 
Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Credit points  6 
Course achievement  None 
Examination  Oral exam 
Examination duration and scale  30 min 
Assignment for the Following Curricula 
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Compulsory Engineering Science: Core Qualification: Compulsory General Engineering Science (English program, 7 semester): Core Qualification: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Elective Compulsory Mechanical Engineering: Specialisation Theoretical Mechanical Engineering: Elective Compulsory Mechanical Engineering: Specialisation Theoretical Mechanical Engineering: Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory 
Course L2446: Modeling, Simulation and Optimization 
Typ  Integrated Lecture 
Hrs/wk  4 
CP  6 
Workload in Hours  Independent Study Time 124, Study Time in Lecture 56 
Lecturer  Prof. Benedikt Kriegesmann, Prof. Thomas Rung, Prof. Alexander Düster, Prof. Robert Seifried 
Language  EN 
Cycle  SoSe 
Content 

Literature 
Michael Schäfer, Computational Engineering  Introduction to Numerical Methods, Springer. 
Specialization IV. Subject Specific Focus
Module M1321: Technical Complementary Course I for Technomathematics (according to Subject Specific Regulations) 

Courses  

Module Responsible  Prof. Anusch Taraz 
Admission Requirements  None 
Recommended Previous Knowledge 
see selected module according to FSPO 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
see selected module according to FSPO 
Skills 
see selected module according to FSPO 
Personal Competence  
Social Competence 
see selected module according to FSPO 
Autonomy 
see selected module according to FSPO 
Workload in Hours  Depends on choice of courses 
Credit points  6 
Assignment for the Following Curricula 
Technomathematics: Specialisation IV. Subject Specific Focus: Elective Compulsory 
Module M1353: Mathematical Project Laboratory 

Courses  

Module Responsible  Dozenten der Mathematik 
Admission Requirements  None 
Recommended Previous Knowledge 
Analysis for Technomathematicians, Higher Analysis, Linear Algebra for Technomathematicians, Numerical Mathematics, Mathematical Stochastics, Mechanics für Technomathematicians, Elektrical Engineering for Technomathematicians, Procedural Programming, Objectoriented Programming, Algorithms and Data Structures

Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
Students are able to evaluate in which cases the use of technomathematical knowledge can help to solve practical problems. For relevant questions, they have the necessary background and appropriate technical language at their disposal. They know the typical process of solving practical problems and are able to present related results. 
Skills 
The students can transfer their fundamental knowledge concerning mathematics, engineering and computer science to the process of solving practical problems. They are able to build mathematical models for relevant, nonstandard problems, they can develop and implement algorithmic strategies, and are able to document and present their results. 
Personal Competence  
Social Competence 
Students are able to cooperate with partners from outside mathematics (e.g. in industry) to develop models and solutions for practical problems. They can present and explain these in front of a qualified audience. Students have the ability to develop alternative approaches and can discuss their advantages as well as their drawbacks. 
Autonomy 
Students are capable of independently identifying practical problems that are suitable for the use of technomathematical methods and results. They can work their way into such problems, and are able to develop solutions under the guidance of their supervisor. They are able to fill in gaps as well as to extend their knowledge using provided sources. Furthermore, they can meaningfully extend given problems and solve them by means of concepts and approaches that they have to develop independently. 
Workload in Hours  Independent Study Time 180, Study Time in Lecture 0 
Credit points  6 
Course achievement  None 
Examination  Written elaboration 
Examination duration and scale  Report, approx. 15 pages 
Assignment for the Following Curricula 
Technomathematics: Specialisation IV. Subject Specific Focus: Elective Compulsory 
Module M1322: Technical Complementary Course II for Technomathematics (according to Subject Specific Regulations) 

Courses  

Module Responsible  Prof. Anusch Taraz 
Admission Requirements  None 
Recommended Previous Knowledge  see selected module accoording to FSPO 
Educational Objectives  After taking part successfully, students have reached the following learning results 
Professional Competence  
Knowledge 
see selected module accoording to FSPO 
Skills 
see selected module accoording to FSPO 
Personal Competence  
Social Competence 
see selected module accoording to FSPO 
Autonomy 
see selected module accoording to FSPO 
Workload in Hours  Depends on choice of courses 
Credit points  6 
Assignment for the Following Curricula 
Technomathematics: Specialisation IV. Subject Specific Focus: Elective Compulsory 
Thesis
Module M001: Bachelor Thesis 