Module Manual
Master
Electrical Engineering
Cohort: Winter Term 2016
Updated: 8th July 2017
Content
Module M0523: Business & Management |
Module Responsible | Prof. Matthias Meyer |
Admission Requirements | None |
Recommended Previous Knowledge | None |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
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Skills |
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Personal Competence | |
Social Competence | |
Autonomy |
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Workload in Hours | Depends on choice of courses |
Credit points | 6 |
Courses |
Information regarding lectures and courses can be found in the corresponding module handbook published separately. |
Module M0524: Nontechnical Elective Complementary Courses for Master |
Module Responsible | Dagmar Richter |
Admission Requirements | None |
Recommended Previous Knowledge | None |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The Nontechnical Academic Programms (NTA) imparts skills that, in view of the TUHH’s training profile, professional engineering studies require but are not able to cover fully. Self-reliance, self-management, collaboration and professional and personnel management competences. The department implements these training objectives in its teaching architecture, in its teaching and learning arrangements, in teaching areas and by means of teaching offerings in which students can qualify by opting for specific competences and a competence level at the Bachelor’s or Master’s level. The teaching offerings are pooled in two different catalogues for nontechnical complementary courses. The Learning Architecture consists of a cross-disciplinarily study offering. The centrally designed teaching offering ensures that courses in the nontechnical academic programms follow the specific profiling of TUHH degree courses. The learning architecture demands and trains independent educational planning as regards the individual development of competences. It also provides orientation knowledge in the form of “profiles”. The subjects that can be studied in parallel throughout the student’s entire study program - if need be, it can be studied in one to two semesters. In view of the adaptation problems that individuals commonly face in their first semesters after making the transition from school to university and in order to encourage individually planned semesters abroad, there is no obligation to study these subjects in one or two specific semesters during the course of studies. Teaching and Learning Arrangements provide for students, separated into B.Sc. and M.Sc., to learn with and from each other across semesters. The challenge of dealing with interdisciplinarity and a variety of stages of learning in courses are part of the learning architecture and are deliberately encouraged in specific courses. Fields of Teaching are based on research findings from the academic disciplines cultural studies, social studies, arts, historical studies, communication studies, migration studies and sustainability research, and from engineering didactics. In addition, from the winter semester 2014/15 students on all Bachelor’s courses will have the opportunity to learn about business management and start-ups in a goal-oriented way. The fields of teaching are augmented by soft skills offers and a foreign language offer. Here, the focus is on encouraging goal-oriented communication skills, e.g. the skills required by outgoing engineers in international and intercultural situations. The Competence Level of the courses offered in this area is different as regards the basic training objective in the Bachelor’s and Master’s fields. These differences are reflected in the practical examples used, in content topics that refer to different professional application contexts, and in the higher scientific and theoretical level of abstraction in the B.Sc. This is also reflected in the different quality of soft skills, which relate to the different team positions and different group leadership functions of Bachelor’s and Master’s graduates in their future working life. Specialized Competence (Knowledge) Students can
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Skills |
Professional Competence (Skills) In selected sub-areas students can
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Personal Competence | |
Social Competence |
Personal Competences (Social Skills) Students will be able
|
Autonomy |
Personal Competences (Self-reliance) 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 M0676: Digital Communications |
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Courses | ||||||||||||||||
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Module Responsible | Prof. Gerhard Bauch |
Admission Requirements |
None |
Recommended Previous Knowledge |
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Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge | The students are able to understand, compare and design modern digital information transmission schemes. They are familiar with the properties of linear and non-linear digital modulation methods. They can describe distortions caused by transmission channels and design and evaluate detectors including channel estimation and equalization. They know the principles of single carrier transmission and multi-carrier transmission as well as the fundamentals of basic multiple access schemes. |
Skills | The students are able to design and analyse a digital information transmission scheme including multiple access. They are able to choose a digital modulation scheme taking into account transmission rate, required bandwidth, error probability, and further signal properties. They can design an appropriate detector including channel estimation and equalization taking into account performance and complexity properties of suboptimum solutions. They are able to set parameters of a single carrier or multi carrier transmission scheme and trade the properties of both approaches against each other. |
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 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 90 min |
Assignment for the Following Curricula |
Computer Science: Specialisation Computer and Software Engineering: Elective Compulsory Electrical Engineering: Core qualification: Compulsory Computational Science and Engineering: Specialisation Information and Communication Technology: Elective Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory Information and Communication Systems: Specialisation Communication Systems: Compulsory Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Networks: Elective Compulsory International Management and Engineering: Specialisation II. Information Technology: Elective Compulsory International Management and Engineering: Specialisation II. Electrical Engineering: Elective Compulsory |
Course L0444: Digital Communications |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Gerhard Bauch |
Language | DE/EN |
Cycle | WiSe |
Content |
|
Literature |
K. Kammeyer: Nachrichtenübertragung, Teubner P.A. Höher: Grundlagen der digitalen Informationsübertragung, Teubner. J.G. Proakis, M. Salehi: Digital Communications. McGraw-Hill. S. Haykin: Communication Systems. Wiley R.G. Gallager: Principles of Digital Communication. Cambridge A. Goldsmith: Wireless Communication. Cambridge. D. Tse, P. Viswanath: Fundamentals of Wireless Communication. Cambridge. |
Course L0445: Digital Communications |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | Prof. Gerhard Bauch |
Language | DE/EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L0646: Laboratory Digital Communications |
Typ | Laboratory Course |
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 |
- DSL transmission - Random processes - Digital data transmission |
Literature |
K. Kammeyer: Nachrichtenübertragung, Teubner P.A. Höher: Grundlagen der digitalen Informationsübertragung, Teubner. J.G. Proakis, M. Salehi: Digital Communications. McGraw-Hill. S. Haykin: Communication Systems. Wiley R.G. Gallager: Principles of Digital Communication. Cambridge A. Goldsmith: Wireless Communication. Cambridge. D. Tse, P. Viswanath: Fundamentals of Wireless Communication. Cambridge. |
Module M0746: Microsystem Engineering |
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Courses | ||||||||||||||||
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Module Responsible | Prof. Manfred Kasper |
Admission Requirements | |
Recommended Previous Knowledge |
Electrical Engineering Fundamentals |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students know about the most important technologies and materials of MEMS as well as their applications in sensors and actuators. |
Skills |
Students are able to analyze and describe the functional behaviour of MEMS components and to evaluate the potential of microsystems. |
Personal Competence | |
Social Competence |
Students are able to solve specific problems alone or in a group and to present the results accordingly. |
Autonomy |
Students are able to acquire particular knowledge using specialized literature and to integrate and associate this knowledge with other fields. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | zweistündig |
Assignment for the Following Curricula |
Electrical Engineering: Core qualification: Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory International Management and Engineering: Specialisation II. Electrical Engineering: Elective Compulsory International Management and Engineering: Specialisation II. Mechatronics: Elective Compulsory Mechanical Engineering and Management: Specialisation Mechatronics: Elective Compulsory Mechatronics: Specialisation System Design: Elective Compulsory Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory Microelectronics and Microsystems: Core qualification: Elective Compulsory |
Course L0680: Microsystem Engineering |
Typ | Lecture |
Hrs/wk | 2 |
CP | 4 |
Workload in Hours | Independent Study Time 92, Study Time in Lecture 28 |
Lecturer | Prof. Manfred Kasper |
Language | EN |
Cycle | WiSe |
Content |
Object and goal of MEMS Scaling Rules Lithography Film deposition Structuring and etching Energy conversion and force generation Electromagnetic Actuators Reluctance motors Piezoelectric actuators, bi-metal-actuator Transducer principles Signal detection and signal processing Mechanical and physical sensors Acceleration sensor, pressure sensor Sensor arrays System integration Yield, test and reliability |
Literature |
M. Kasper: Mikrosystementwurf, Springer (2000) M. Madou: Fundamentals of Microfabrication, CRC Press (1997) |
Course L0682: Microsystem Engineering |
Typ | Problem-based Learning |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Manfred Kasper |
Language | EN |
Cycle | WiSe |
Content |
Examples of MEMS components Layout consideration Electric, thermal and mechanical behaviour Design aspects |
Literature |
Wird in der Veranstaltung bekannt gegeben |
Course L0681: Microsystem Engineering |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Manfred Kasper |
Language | EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0710: Microwave Engineering |
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Courses | ||||||||||||||||
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Module Responsible | Prof. Arne Jacob |
Admission Requirements | |
Recommended Previous Knowledge |
Fundamentals of communication engineering, semiconductor devices and circuits. Basics of Wave propagation from transmission line theory and theoretical electrical engineering. |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students can explain the propagation of electromagnetic waves and related phenomena. They can describe transmission systems and components. They can name different types of antennas and describe the main characteristics of antennas. They can explain noise in linear circuits, compare different circuits using characteristic numbers and select the best one for specific scenarios. |
Skills |
Students are able to calculate the propagation of electromagnetic waves. They can analyze complete transmission systems und configure simple receiver circuits. They can calculate the characteristic of simple antennas and arrays based on the geometry. They can calculate the noise of receivers and the signal-to-noise-ratio of transmission systems. They can apply their theoretical knowledge to the practical courses. |
Personal Competence | |
Social Competence |
Students work together in small groups during the practical courses. Together they document, evaluate and discuss their results. |
Autonomy |
Students are able to relate the knowledge gained in the course to contents of previous lectures. With given instructions they can extract data needed to solve specific problems from external sources. They are able to apply their knowledge to the laboratory courses using the given instructions. |
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 90 min |
Assignment for the Following Curricula |
Electrical Engineering: Core qualification: Compulsory Information and Communication Systems: Specialisation Communication Systems: Elective Compulsory International Management and Engineering: Specialisation II. Electrical Engineering: Elective Compulsory Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory |
Course L0573: Microwave Engineering |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Arne Jacob |
Language | DE/EN |
Cycle | WiSe |
Content |
- Antennas: Analysis - Characteristics - Realizations - Radio Wave Propagation - Transmitter: Power Generation with Vacuum Tubes and Transistors - Receiver: Preamplifier - Heterodyning - Noise - Selected System Applications |
Literature |
H.-G. Unger, „Elektromagnetische Theorie für die Hochfrequenztechnik, Teil I“, Hüthig, Heidelberg, 1988 H.-G. Unger, „Hochfrequenztechnik in Funk und Radar“, Teubner, Stuttgart, 1994 E. Voges, „Hochfrequenztechnik - Teil II: Leistungsröhren, Antennen und Funkübertragung, Funk- und Radartechnik“, Hüthig, Heidelberg, 1991 E. Voges, „Hochfrequenztechnik“, Hüthig, Bonn, 2004 C.A. Balanis, “Antenna Theory”, John Wiley and Sons, 1982 R. E. Collin, “Foundations for Microwave Engineering”, McGraw-Hill, 1992 D. M. Pozar, “Microwave and RF Design of Wireless Systems”, John Wiley and Sons, 2001 D. M. Pozar, “Microwave Engineerin”, John Wiley and Sons, 2005 |
Course L0574: Microwave Engineering |
Typ | Recitation Section (large) |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Arne Jacob |
Language | DE/EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L0575: Microwave Engineering |
Typ | Laboratory Course |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Arne Jacob |
Language | DE/EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0846: Control Systems Theory and Design |
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Courses | ||||||||||||
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Module Responsible | Prof. Herbert Werner |
Admission Requirements | None |
Recommended Previous Knowledge | Introduction to Control Systems |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
|
Skills |
|
Personal Competence | |
Social Competence |
Students can work in small groups on specific problems to arrive at joint solutions. |
Autonomy |
Students can obtain information from provided sources (lecture notes, software documentation, experiment guides) and use it when solving given problems. They can assess their knowledge in weekly on-line tests and thereby control their learning progress. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 120 min |
Assignment for the Following Curricula |
Computer Science: Specialisation Intelligence Engineering: Elective Compulsory Electrical Engineering: Core qualification: Compulsory Energy Systems: Core qualification: Elective Compulsory Aircraft Systems Engineering: Specialisation Aircraft Systems: Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory International Management and Engineering: Specialisation II. Electrical Engineering: Elective Compulsory International Management and Engineering: Specialisation II. Mechatronics: Elective Compulsory Mechanical Engineering and Management: Specialisation Mechatronics: Elective Compulsory Mechatronics: Core qualification: Compulsory Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory Biomedical Engineering: Specialisation Medical Technology and Control Theory: Compulsory Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory Product Development, Materials and Production: Core qualification: Elective Compulsory Theoretical Mechanical Engineering: Core qualification: Compulsory |
Course L0656: Control Systems Theory and Design |
Typ | Lecture |
Hrs/wk | 2 |
CP | 4 |
Workload in Hours | Independent Study Time 92, Study Time in Lecture 28 |
Lecturer | Prof. Herbert Werner |
Language | EN |
Cycle | WiSe |
Content |
State space methods (single-input single-output) • State space models and transfer functions, state feedback Digital Control System identification and model order reduction Case study |
Literature |
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Course L0657: Control Systems Theory and Design |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Herbert Werner |
Language | EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0913: CMOS Nanoelectronics with Practice |
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Courses | ||||||||||||||||
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Module Responsible | Prof. Wolfgang Krautschneider |
Admission Requirements | None |
Recommended Previous Knowledge | Fundamentals of MOS devices and electronic circuits |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
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Skills |
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Personal Competence | |
Social Competence |
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Autonomy |
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Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 90 min |
Assignment for the Following Curricula |
Computer Science: Specialisation Computer and Software Engineering: Elective Compulsory Electrical Engineering: Core qualification: Compulsory Computational Science and Engineering: Specialisation Information and Communication Technology: Elective Compulsory International Management and Engineering: Specialisation II. Electrical Engineering: Elective Compulsory Mechanical Engineering and Management: Specialisation Mechatronics: Elective Compulsory Mechatronics: Specialisation System Design: Elective Compulsory Microelectronics and Microsystems: Core qualification: Elective Compulsory |
Course L0764: CMOS Nanoelectronics |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Wolfgang Krautschneider |
Language | EN |
Cycle | WiSe |
Content |
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Literature |
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Course L1063: CMOS Nanoelectronics |
Typ | Laboratory Course |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Wolfgang Krautschneider |
Language | EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L1059: CMOS Nanoelectronics |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Wolfgang Krautschneider |
Language | EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0798: Technical Complementary Course I for ETMS (according to Subject Specific Regulations) |
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Courses | ||||
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Module Responsible | Prof. Christian Schuster |
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 | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | according to Subject Specific Regulations |
Examination duration and scale | according to module description |
Assignment for the Following Curricula |
Electrical Engineering: Core qualification: Compulsory |
Module M0799: Technical Complementary Course II for ETMS (according to Subject Specific Regulations) |
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Courses | ||||
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Module Responsible | Prof. Christian Schuster |
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 | Independent Study Time 180, Study Time in Lecture 0 |
Credit points | 6 |
Examination | according to Subject Specific Regulations |
Examination duration and scale | according to module description |
Assignment for the Following Curricula |
Electrical Engineering: Core qualification: Compulsory |
Module M0548: Bioelectromagnetics: Principles and Applications |
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Courses | ||||||||||||
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Module Responsible | Prof. Christian Schuster |
Admission Requirements | None |
Recommended Previous Knowledge |
Basic principles of physics |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students can explain the basic principles, relationships, and methods of bioelectromagnetics, i.e. the quantification and application of electromagnetic fields in biological tissue. They can define and exemplify the most important physical phenomena and order them corresponding to wavelength and frequency of the fields. They can give an overview over measurement and numerical techniques for characterization of electromagnetic fields in practical applications . They can give examples for therapeutic and diagnostic utilization of electromagnetic fields in medical technology. |
Skills |
Students know how to apply various methods to characterize the behavior of electromagnetic fields in biological tissue. In order to do this they can relate to and make use of the elementary solutions of Maxwell’s Equations. They are able to assess the most important effects that these models predict for biological tissue, they can order the effects corresponding to wavelength and frequency, respectively, and they can analyze them in a quantitative way. They are able to develop validation strategies for their predictions. They are able to evaluate the effects of electromagnetic fields for therapeutic and diagnostic applications and make an appropriate choice. |
Personal Competence | |
Social Competence |
Students are able to work together on subject related tasks in small groups. They are able to present their results effectively in English (e.g. during small group exercises). |
Autonomy |
Students are capable to gather information from subject related, professional publications and relate that information to the context of the lecture. They are able to make a connection between their knowledge obtained in this lecture with the content of other lectures (e.g. theory of electromagnetic fields, fundamentals of electrical engineering / physics). They can communicate problems and effects in the field of bioelectromagnetics in English. |
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | 30-60 minutes |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Microwave Engineering, Optics, and Electromagnetic Compatibility: Elective Compulsory Electrical Engineering: Specialisation Medical Technology: Elective Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory International Management and Engineering: Specialisation II. Electrical Engineering: Elective Compulsory 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 |
Course L0371: Bioelectromagnetics: Principles and Applications |
Typ | Lecture |
Hrs/wk | 3 |
CP | 5 |
Workload in Hours | Independent Study Time 108, Study Time in Lecture 42 |
Lecturer | Prof. Christian Schuster |
Language | DE/EN |
Cycle | SoSe |
Content |
- Fundamental properties of electromagnetic fields (phenomena) - Mathematical description of electromagnetic fields (Maxwell’s Equations) - Electromagnetic properties of biological tissue - Principles of energy absorption in biological tissue, dosimetry - Numerical methods for the computation of electromagnetic fields (especially FDTD) - Measurement techniques for characterization of electromagnetic fields - Behavior of electromagnetic fields of low frequency in biological tissue - Behavior of electromagnetic fields of medium frequency in biological tissue - Behavior of electromagnetic fields of high frequency in biological tissue - Behavior of electromagnetic fields of very high frequency in biological tissue - Diagnostic applications of electromagnetic fields in medical technology - Therapeutic applications of electromagnetic fields in medical technology - The human body as a generator of electromagnetic fields |
Literature |
- C. Furse, D. Christensen, C. Durney, "Basic Introduction to Bioelectromagnetics", CRC (2009) - A. Vorst, A. Rosen, Y. Kotsuka, "RF/Microwave Interaction with Biological Tissues", Wiley (2006) - S. Grimnes, O. Martinsen, "Bioelectricity and Bioimpedance Basics", Academic Press (2008) - F. Barnes, B. Greenebaum, "Bioengineering and Biophysical Aspects of Electromagnetic Fields", CRC (2006) |
Course L0373: Bioelectromagnetics: Principles and Applications |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 1 |
Workload in Hours | Independent Study Time 2, Study Time in Lecture 28 |
Lecturer | Prof. Christian Schuster |
Language | DE/EN |
Cycle | SoSe |
Content |
- Fundamental properties of electromagnetic fields (phenomena) - Mathematical description of electromagnetic fields (Maxwell’s Equations) - Electromagnetic properties of biological tissue - Principles of energy absorption in biological tissue, dosimetry - Numerical methods for the computation of electromagnetic fields (especially FDTD) - Measurement techniques for characterization of electromagnetic fields - Behavior of electromagnetic fields of low frequency in biological tissue - Behavior of electromagnetic fields of medium frequency in biological tissue - Behavior of electromagnetic fields of high frequency in biological tissue - Behavior of electromagnetic fields of very high frequency in biological tissue - Diagnostic applications of electromagnetic fields in medical technology - Therapeutic applications of electromagnetic fields in medical technology - The human body as a generator of electromagnetic fields |
Literature |
- C. Furse, D. Christensen, C. Durney, "Basic Introduction to Bioelectromagnetics", CRC (2009) - A. Vorst, A. Rosen, Y. Kotsuka, "RF/Microwave Interaction with Biological Tissues", Wiley (2006) - S. Grimnes, O. Martinsen, "Bioelectricity and Bioimpedance Basics", Academic Press (2008) - F. Barnes, B. Greenebaum, "Bioengineering and Biophysical Aspects of Electromagnetic Fields", CRC (2006) |
Module M0643: Optoelectronics I - Wave Optics |
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Courses | ||||||||||||
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Module Responsible | Prof. Manfred Eich |
Admission Requirements |
Keine |
Recommended Previous Knowledge |
Basics in electrodynamics, calculus |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students can explain the fundamental mathematical and physical relations of freely propagating optical waves. |
Skills |
Students can generate models and derive mathematical descriptions in relation to free optical wave propagation. |
Personal Competence | |
Social Competence |
Students can jointly solve subject related problems in groups. They can present their results effectively within the framework of the problem solving course. |
Autonomy |
Students are capable to extract relevant information from the provided references and to relate this information to the content of the lecture. They can reflect their acquired level of expertise with the help of lecture accompanying measures such as exam typical exam questions. Students are able to connect their knowledge with that acquired from other lectures. |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Credit points | 4 |
Examination | Written exam |
Examination duration and scale | 40 minutes |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory Electrical Engineering: Specialisation Microwave Engineering, Optics, and Electromagnetic Compatibility: Elective Compulsory Materials Science: Specialisation Nano and Hybrid Materials: Elective Compulsory Microelectronics and Microsystems: Specialisation Microelectronics Complements: Elective Compulsory |
Course L0359: Optoelectronics I: Wave Optics |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Manfred Eich |
Language | EN |
Cycle | SoSe |
Content |
|
Literature |
Bahaa E. A. Saleh, Malvin Carl Teich, Fundamentals of Photonics, Wiley 2007 |
Course L0361: Optoelectronics I: Wave Optics (Problem Solving Course) |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Manfred Eich |
Language | EN |
Cycle | SoSe |
Content | see lecture Optoelectronics 1 - Wave Optics |
Literature |
see lecture Optoelectronics 1 - Wave Optics |
Module M1016: Optical Communication |
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Courses | ||||||||||||
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Module Responsible | Dr. Hagen Renner |
Admission Requirements | |
Recommended Previous Knowledge | |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge | |
Skills | |
Personal Competence | |
Social Competence | |
Autonomy | |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Credit points | 4 |
Examination | Oral exam |
Examination duration and scale | |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Microwave Engineering, Optics, and Electromagnetic Compatibility: Elective Compulsory |
Course L0477: Optical Communication |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Dr. Hagen Renner |
Language | EN |
Cycle | SoSe |
Content |
Optical Communications
|
Literature |
[1] G.P. Agrawal, "Fiber-optic communication systems", Wiley-Interscience, 2002 [2] J. Gowar: “Opical Communication Systems“, Prentice Hall 199 [3] I.P. Kaminov and L. Koch (ed.): “Optical Fiber Telecomminications“, volume IIIA and IIIB, Academic Press, 1997 [4] A. Yariv: “Optical Electronics“, Sauders College Publishing, 1997 [5] E.G. Neumann: “Single-Mode Fibers“, Springer 1988 [6] H.G. Unger: “Optische Nachrichtentechnik“, volume I and II, Hüthig 1992 (in German) [7] J.M. Senior: “Optical Fiber communications“, Prentice Hall 2009 [8] E. Voges and K. Petermann (ed.): “Optische Kommunikationstechnik”, Springer 2002 (in German) |
Course L0480: Optical Communication |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Dr. Hagen Renner |
Language | EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0645: Fibre and Integrated Optics |
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Courses | ||||||||||||
|
Module Responsible | Prof. Manfred Eich |
Admission Requirements | None |
Recommended Previous Knowledge |
Basic principles of electrodynamics and optics |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students can explain the fundamental mathematical and physical relations and technological basics of guided optical waves. They can describe integrated optical as well as fibre optical structures. They can give an overview on the applications of integrated optical components in optical signal processing. |
Skills |
Students can generate models and derive mathematical descriptions in relation to fibre optical and integrated optical wave propagation. They can derive approximative solutions and judge factors influential on the components' performance. |
Personal Competence | |
Social Competence |
Students can jointly solve subject related problems in groups. They can present their results effectively within the framework of the problem solving course. |
Autonomy |
Students are capable to extract relevant information from the provided references and to relate this information to the content of the lecture. They can reflect their acquired level of expertise with the help of lecture accompanying measures such as exam typical exam questions. Students are able to connect their knowledge with that acquired from other lectures. |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Credit points | 4 |
Examination | Written exam |
Examination duration and scale | 40 minutes |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Microwave Engineering, Optics, and Electromagnetic Compatibility: Elective Compulsory Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory |
Course L0363: Fibre and Integrated Optics |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Dr. Hagen Renner |
Language | EN |
Cycle | SoSe |
Content |
|
Literature |
Bahaa E. A. Saleh, Malvin Carl Teich, Fundamentals of Photonics, Wiley 2007 |
Course L0365: Fibre and Integrated Optics (Problem Solving Course) |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Dr. Hagen Renner |
Language | EN |
Cycle | SoSe |
Content |
See lecture Fibre and Integrated Optics |
Literature |
See lecture Fibre and Integrated Optics |
Module M0712: Microwave Semiconductor Devices and Circuits I |
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Courses | ||||||||||||
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Module Responsible | Prof. Arne Jacob |
Admission Requirements | |
Recommended Previous Knowledge |
Electrical Engineering IV, Microwave Engineering, Fundamentals of Semiconductor Technology |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students are capable of explaining the functionality of amplifier, mixer, and oscillator in detail. They can present theories, concepts, and reasonable assumptions for description and synthesis of these devices. They are able to apply thorough knowledge of semiconductor physics of selected microwave devices to amplifier, mixer, and oscillator. They can compare different devices with respect to various parameters (such as frequency range, power und efficiency). |
Skills |
The students can assess occurring linear and nonlinear effects in active microwave circuits and are capable of analyzing and evaluating them. They are able to develop passive and active linear microwave circuits with the help of modern software-tools, taking application requirements into account. |
Personal Competence | |
Social Competence |
The students are able to carry out subject-specific tasks in small groups, and to adequately present solutions (e.g. in CAD-Exercises). |
Autonomy |
The students are able to obtain additional information from given literature sources and set the content in context with the lecture. They can link and deepen their knowledge of other courses, e.g., Electrical Engineering IV, Theoretical Engineering, Microwave Engineering, Semiconductor Devices. The students acquire the ability to communicate problems and solutions in the field of microwave semiconductor devices and circuits in English. |
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Microwave Engineering, Optics, and Electromagnetic Compatibility: Elective Compulsory International Management and Engineering: Specialisation II. Electrical Engineering: Elective Compulsory |
Course L0580: Microwave Semiconductor Devices and Circuits I |
Typ | Lecture |
Hrs/wk | 3 |
CP | 4 |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Lecturer | Prof. Arne Jacob |
Language | DE/EN |
Cycle | SoSe |
Content |
- Amplifier: S-Parameters, stability, gain definitions; Bipolar Junction Transistor and HBT, MESFET and HEMT; Circuit applications, nonlinear distortions, low noise and power amplifier - Mixer: Conversion matrix analysis; pn- and Schottky-diode, FET; Circuit applications, conversion gain and noise figure - Oszillator: Oscillation start-up, steady state operation, stability; IMPATT-diode, Gunn-element, FET; oscillator stabilization - Linear passive circuits: Planar microwave circuits, quarterwave matching circuits and discontinuities, lowpass-filter and bandpass-filter synthesis - Design of active circuits |
Literature |
- E. Voges, „Hochfrequenztechnik“, Hüthig (2004) - H.-G. Unger, W. Harth, „Hochfrequenz-Halbleiterelektronik“, S. Hirzel Verlag (1972) - S.M. Sze, „Physics of Semiconductor Devices”, John Wiley & Sons (1981) |
Course L0581: Microwave Semiconductor Devices and Circuits I |
Typ | Recitation Section (large) |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Arne Jacob |
Language | DE/EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0769: EMC I: Couplings, Countermeasures and Test Procedures |
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Courses | ||||||||||||||||
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Module Responsible | Prof. Christian Schuster |
Admission Requirements |
None |
Recommended Previous Knowledge |
Fundamentals of Electrical Engineering |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to explain the fundamental principles, inter-dependencies, and methods of Electromagnetic Compatibility of electric and electronic systems and to ensure Electromagnetic Compatibility of such systems. They are able to classify and explain the common interference sources and coupling mechanisms. They are capable of explaining the basic principles of shielding and filtering. They are able of giving an overview over measurement and simulation methods for the characterization of Electromagnetic Compatibility in electrical engineering practice. |
Skills |
Students are able to apply a series of modeling methods for the Electromagnetic Compatibility of typical electric and electronic systems. They are able to determine the most important effects that these models are predicting in terms of Electromagnetic Compatibility. They can classify these effects and they can quantitatively analyze them. They are capable of deriving problem solving strategies from these predictions and they can adapt them to applications in electrical engineering practice. They can evaluate their problem solving strategies against each other. |
Personal Competence | |
Social Competence |
Students are able to work together on subject related tasks in small groups. They are able to present their results effectively in English, during laboratory work and exercises, e.g.. |
Autonomy |
Students are capable to gather necessary information from the references provided and relate that information to the context of the lecture. They are able to make a connection between their knowledge obtained in this lecture with the content of other lectures (e.g. Theoretical Electrical Engineering and Communication Theory). They can communicate problems and solutions in the field of Electromagnetic Compatibility in english language. |
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | 30 bis 60 Minuten |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Microwave Engineering, Optics, and Electromagnetic Compatibility: Elective Compulsory Mechatronics: Technical Complementary Course: Elective Compulsory |
Course L0743: EMC I: Couplings, Countermeasures, and Test Procedures |
Typ | Lecture |
Hrs/wk | 3 |
CP | 4 |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Lecturer | Prof. Christian Schuster |
Language | DE/EN |
Cycle | SoSe |
Content |
|
Literature |
|
Course L0744: EMC I: Couplings, Countermeasures, and Test Procedures |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Christian Schuster |
Language | DE/EN |
Cycle | SoSe |
Content |
The exercise sessions serve to deepen the understanding of the concepts of the lecture. |
Literature |
|
Course L0745: EMC I: Couplings, Countermeasures, and Test Procedures |
Typ | Laboratory Course |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Christian Schuster |
Language | DE/EN |
Cycle | SoSe |
Content |
Laboratory experiments serve to practically investigate the following EMC topics:
|
Literature | Versuchsbeschreibungen und zugehörige Literatur werden innerhalb der Veranstaltung bereit gestellt. |
Module M0784: Introduction to Antenna Theory |
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Courses | ||||||||||||||||
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Module Responsible | Prof. Arne Jacob |
Admission Requirements | |
Recommended Previous Knowledge |
Electrical Engineering IV, Theoretical Electrical Engineering II, Microwave Engineering |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students are able to apply the fundamental theory and approximations regarding the propagation of electromagnetic waves on transmission lines and in free space specifically with regard to antenna design problems. They are able to evaluate which method of analysis is suitable for certain antennas. They are able to derive the field solutions for different antenna types. The students are able to illustrate the functionality and radiation behavior of antennas based on physical principles. Additionally, the functionality of arrangements of several antennas (arrays) can be evaluated by the students. |
Skills |
The students are capable of applying different methods which are used for antenna characterization in a problem related manner. By means of the analysis of different antenna types the students are able to assess which antenna is adequate for a certain situation, e.g., with respect to the radiation pattern or the input resistance. They have the knowledge to handle advanced antenna and radiation problems in an autonomous way. In lecture-accompanying CAD exercises and laboratory experiments the students are capable of verifying the related approximations and assessing their accuracy and validity. This way, they are able to compare the theory with numerical and experimental methods. |
Personal Competence | |
Social Competence |
The students are able to work in small groups in the CAD exercises and the laboratory experiments to discuss tasks related to the subject. They are able to present and demonstrate their knowledge in a suitable manner. |
Autonomy |
The students are able to obtain supplementary information from the indicated literature sources and to relate it to the content of the lecture. They are capable of deepening and linking their achieved knowledge with the contents of other lectures (e.g. Microwave Engineering, Theoretical Electrical Engineering II). The students acquire the ability to choose and develop the right antenna type for a certain situation under given conditions in a self-contained way. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Microwave Engineering, Optics, and Electromagnetic Compatibility: Elective Compulsory |
Course L0783: Introduction To Antenna Theory |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Arne Jacob |
Language | DE/EN |
Cycle | SoSe |
Content |
- Basic principles: Near and far field, approximate solutions, Poynting Theorem - Wire antennas: loop antenna, folded dipole, discone and conical-skirt monopole, traveling-wave antenna, long-wire antenna, helical antenna - Horn antennas: rectangular aperture, circular aperture, corrugated horn - Reflector antennas: Geometrical Optics, Geometrical Theory of Diffraction - Antenna arrays: array factor, beam scanning, uniformly and non-uniformly excited linear arrays, array feeds - CAD tools for electrical analysis and design of antennas and arrays - Experimental antenna characterization |
Literature |
- H.-G. Unger, "Hochfrequenztechnik in Funk und Radar" Teubner (1994) - C. A. Balanis, "Antenna Theory - Analysis and Design 3rd ed." Wiley-Interscience (2005)- C. A. Balanis, "Advanced Engineering Electromagnetics" Wiley (1989) |
Course L0784: Introduction To Antenna Theory |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Arne Jacob |
Language | DE/EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L1349: Introduction To Antenna Theory |
Typ | Laboratory Course |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | Prof. Arne Jacob |
Language | DE/EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0785: Electromagnetic Waves |
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Courses | ||||||||||||||||
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Module Responsible | Prof. Arne Jacob |
Admission Requirements | |
Recommended Previous Knowledge |
Electrical Engineering IV, Theoretical Electrical Engineering II, Microwave Engineering |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Based on Maxwell’s Equations the students are capable of computing field quantities of electromagnetic waves by means of scalar potentials. From these fields the students can then identify propagation characteristics and attenuation of electromagnetic waves on various structures. Furthermore, the students understand the effects of discontinuities on the propagation of modes and how these effects can be modelled by lumped equivalent circuits. The description of general microwave networks, as well as arbitrarily shaped cylindrical waveguides allow the students to account for and analyze a multitude of microwave problems. By means of perturbation and variational approaches the students are able to formulate problems such that the application to optimization processes or other numerical methods is possible. An easy final example gives the students a first glance at the method of moments that allows the solution of subject-specific problems on computers. In the laboratory experiments the theories presented in the lecture and the exercises are directly applied and quantified by small groups of students using measurements. |
Skills |
The students are capable of analyzing simple electromagnetic problems, as well as making qualitative statements about the effects on wave propagation. Basic effects of discontinuities, e.g. waveguide transitions, can be predicted and assessed. By means of the outlined methods the students are able to evaluate non-standard problems both qualitatively and quantitatively. Due to the generality of the covered approaches the students can link these methods with various classes of problems in order to develop intuitive solutions. In accompanying laboratory experiments the students have the opportunity to apply and verify the learned methods practically. |
Personal Competence | |
Social Competence |
The students work together in small groups in the course of the laboratory experiments on subject-specific tasks. The results are presented and documented in a professional manner. |
Autonomy |
The students are able to obtain additional information from given literature sources and set the content in context with the lecture. They can link and deepen their knowledge of other courses, e.g. Microwave Engineering and Theoretical Electrical Engineering II. The students obtain the ability to predict the behavior of electromagnetic components and to develop solutions in order to achieve a desired functionality. Both of these tasks can be done by the students in a self-contained way. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Microwave Engineering, Optics, and Electromagnetic Compatibility: Elective Compulsory |
Course L0785: Electromagnetic Waves |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Arne Jacob |
Language | DE/EN |
Cycle | SoSe |
Content |
- General properties of fields and plane waves: General solution of Maxwell’s Equations (in Cartesian coordinates), plane waves, rectangular waveguide, attenuation in waveguides, degenerate modes, cavity resonators, partially dielectrically filled rectangular wavguide, dielectric slab waveguide, surface waveguides, leaky waves. |
Literature |
- H.-G. Unger, "Elektromagnetische Theorie für die Hochfrequenztechnik", Teil I+II, Teubner (1988) - R. F. Harrington, "Time-Harmonic Electromagnetic Fields", Wiley-Interscience (1961 - R. F. Harrington, "Field Computation by Moment Methods", Robert E. Krieger Publ. Comp. (1968) |
Course L0786: Electromagnetic Waves |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Arne Jacob |
Language | DE/EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L1346: Electromagnetic Waves |
Typ | Laboratory Course |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | Prof. Arne Jacob |
Language | DE/EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0800: Numerical Methods for Electromagnetic Field Computation |
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Courses | ||||||||||||
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Module Responsible | Dr. Heinz-Dietrich Brüns |
Admission Requirements |
None |
Recommended Previous Knowledge | Basic principles of electromagnetic field theory |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Numerical methods in numerical field computation are of increasing importance in electrical engineering, for example in the are of antenna development or for analyzing electromagnetic compatibility problems (EMC). The underlying principles of the major techniques that are currently applied in practice are explained. It turns out that each method has its strengths and weaknesses in relation to specific applications. The students shall be enabled to evaluate which kind of method could be advantageous for a certain case and if an application concerning a certain problem area is manageable at all. |
Skills |
The students will be able to set up discretized models based on the working principle of the chosen numerical method. This is carried out regarding the electrical size and considering the geometrical complexity. The students know the interrelationship between the number of grid elements (surface patches, cells), the necessary memory resulting form this and the computation time. They are aware of the requirements of the method under consideration to achieve convergent results and they learn to validate these results using various techniques. The students are able to distinguish between methods that are used in the time domain, in the frequency domain and in the range of electrostatics. Furthermore the students know the advantages, possibilities and constraints of surface and volume based techniques. |
Personal Competence | |
Social Competence |
In practical exercises small groups of students can apply the program system CONCEPT-II, which is based on one of the most important techniques, the so-called method of moments. The program is under continuous development at the Institute of Electromagnetic Theory. |
Autonomy |
The students are able to generally apply their new knowledge in electromagnetics and to associate it with other courses. On the basis of the introduction given in the lecture they are capable to easily learn more about a technique from the given literature. |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Credit points | 4 |
Examination | Oral exam |
Examination duration and scale | 30 Minutes |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory Electrical Engineering: Specialisation Microwave Engineering, Optics, and Electromagnetic Compatibility: Elective Compulsory Electrical Engineering: Specialisation Modeling and Simulation: Elective Compulsory |
Course L0802: Numerical Methods for Electromagnetic Field Computation |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Dr. Heinz-Dietrich Brüns |
Language | DE/EN |
Cycle | SoSe |
Content |
-Short and in details more comprehensive repetition of relevant fields of electromagnetic theory |
Literature |
Allen Tavlove, Susan C. Hagness: Computational Electrodynamics: The Finite-Difference |
Course L0803: Numerical Methods for Electromagnetic Field Computation |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Dr. Heinz-Dietrich Brüns |
Language | DE/EN |
Cycle | SoSe |
Content |
-Short and in details more comprehensive repetition of relevant fields of electromagnetic theory |
Literature |
Allen Tavlove, Susan C. Hagness: Computational Electrodynamics: The Finite-Difference |
Module M0644: Optoelectronics II - Quantum Optics |
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Courses | ||||||||||||
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Module Responsible | Prof. Manfred Eich |
Admission Requirements | None |
Recommended Previous Knowledge |
Basic principles of electrodynamics, optics and quantum mechanics |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students can explain the fundamental mathematical and physical relations of quantum optical phenomena such as absorption, stimulated and spontanous emission. They can describe material properties as well as technical solutions. They can give an overview on quantum optical components in technical applications. |
Skills |
Students can generate models and derive mathematical descriptions in relation to quantum optical phenomena and processes. They can derive approximative solutions and judge factors influential on the components' performance. |
Personal Competence | |
Social Competence |
Students can jointly solve subject related problems in groups. They can present their results effectively within the framework of the problem solving course. |
Autonomy |
Students are capable to extract relevant information from the provided references and to relate this information to the content of the lecture. They can reflect their acquired level of expertise with the help of lecture accompanying measures such as exam typical exam questions. Students are able to connect their knowledge with that acquired from other lectures. |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Credit points | 4 |
Examination | Written exam |
Examination duration and scale | 40 minutes |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory Electrical Engineering: Specialisation Microwave Engineering, Optics, and Electromagnetic Compatibility: Elective Compulsory Materials Science: Specialisation Nano and Hybrid Materials: Elective Compulsory Microelectronics and Microsystems: Specialisation Microelectronics Complements: Elective Compulsory |
Course L0360: Optoelectronics II: Quantum Optics |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Manfred Eich |
Language | EN |
Cycle | WiSe |
Content |
|
Literature |
Bahaa E. A. Saleh, Malvin Carl Teich, Fundamentals of Photonics, Wiley 2007 |
Course L0362: Optoelectronics II: Quantum Optics (Problem Solving Course) |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Manfred Eich |
Language | EN |
Cycle | WiSe |
Content | see lecture Optoelectronics 1 - Wave Optics |
Literature |
see lecture Optoelectronics 1 - Wave Optics |
Module M0666: Seminar on Electromagnetic Compatibility and Electrical Power Systems |
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Courses | ||||||||
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Module Responsible | Prof. Christian Schuster |
Admission Requirements | None |
Recommended Previous Knowledge |
Fundamentals of electrical engineering |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students know current research topics in the fields of electromagnetic compatibility, theory of electromagnetic fields, and electrical power systems. They are able to use professional language in discussions. They are able to explain research topics. |
Skills |
Students are able to gain knowledge about a new field by themselves. In order to do that they make use of their existing knowledge and try to connect it with the topics of the new field. They close their knowledge gaps by discussing with research assistants and by their own literature and internet search. They are capable of summarizing and presenting scientific publications. |
Personal Competence | |
Social Competence |
In cooperation with research assistants students are able to familiarize themselves with and discuss with others current research topics. They are capable of drafting, presenting, and explaining summaries of these topics in English in front of a professional audience. |
Autonomy |
Students are capable of gathering information from subject related, professional publications and relate that information to the context of the seminar. They are able to find on their own new sources in the Internet. They are able to make a connection with the subject of their chosen specialization. |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Credit points | 2 |
Examination | Presentation |
Examination duration and scale | 20-30 minutes |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Microwave Engineering, Optics, and Electromagnetic Compatibility: Elective Compulsory Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory |
Course L0409: Seminar on Electromagnetic Compatibility and Electrical Power Systems |
Typ | Seminar |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Christian Schuster, Prof. Frank Gronwald, Prof. Christian Becker |
Language | EN |
Cycle |
WiSe/ |
Content |
Current research topics in the fields electromagnetic compatibility, theory of electromagnetic fields, and electrical power systems |
Literature |
Aktuelle Literatur zu Forschungsthemen aus der elektromagnetischen Verträglichkeit, der theoretischen Elektrotechnik und der elektrischen Energiesystemtechnik / Current literature with regard to research topics in the fields of electromagnetic compatibility, theory of electromagnetic fields, and and electrical power systems |
Module M0795: Research Project in Microwave Engineering, Optics and Electromagnetic Compatibility |
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Courses | ||||
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Module Responsible | Dozenten des SD E |
Admission Requirements | None |
Recommended Previous Knowledge |
Advanced state of knowledge in the electrical engineering master program |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students know current research topics oft institutes engaged in their specialization. They can name the fundamental scientific methods used for doing related reserach. |
Skills |
Strudents are capable of completing a small, independent sub-project of currently ongoing research projects in the institutes engaged in their specialization. Students can justify and explain their approach for problem solving, they can draw conclusions from their results, and then can find new ways and methods for their work. Students are capable of comparing and assessing alterantive approaches with their own with regard to given criteria. |
Personal Competence | |
Social Competence |
Students are able to discuss their work progress with research assistants of the supervising institute . They are capable of presenting their results in front of a professional audience. |
Autonomy |
Based on their competences gained so far students are capable of defining meaningful tasks within ongoing research project for themselves. They are able to develop the necessary understanding and problem solving methods. |
Workload in Hours | Independent Study Time 180, Study Time in Lecture 0 |
Credit points | 6 |
Examination | Project (accord. to Subject Specific Regulations) |
Examination duration and scale | |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Microwave Engineering, Optics, and Electromagnetic Compatibility: Elective Compulsory |
Module M1243: Seminar on Microwave Engineering |
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Courses | ||||||||
|
Module Responsible | Prof. Arne Jacob |
Admission Requirements | None |
Recommended Previous Knowledge |
Fundamentals of communication engineering, semiconductor devices and circuits. Basics of Wave propagation from transmission line theory and theoretical electrical engineering. |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students can explain the most important facts and relationships of a specific topic from the field of high-frequency technology. |
Skills |
Students
are able to compile a specified topic from the field of high-frequency technology and to give a clear, structured and comprehensible presentation of the
subject. |
Personal Competence | |
Social Competence |
Students are able to adapt their presentation with respect to content, detailedness, and presentation style to the composition and previous knowledge of the audience. They can answer questions from the audience in a curt and precise manner. |
Autonomy |
Students are able to autonomously carry out a literature research concerning a given topic. They can independently evaluate the material. They can self-reliantly decide which parts of the material should be included in the presentation. |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Credit points | 2 |
Examination | Presentation |
Examination duration and scale | 30 min |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Microwave Engineering, Optics, and Electromagnetic Compatibility: Elective Compulsory |
Course L1689: Seminar on Microwave Engineering |
Typ | Seminar |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Arne Jacob |
Language | EN |
Cycle |
WiSe/ |
Content |
Seminar talk on a given subject |
Literature |
Themenabhängig / subject related |
Module M0781: EMC II: Signal Integrity and Power Supply of Electronic Systems |
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Courses | ||||||||||||||||
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Module Responsible | Prof. Christian Schuster |
Admission Requirements | None |
Recommended Previous Knowledge |
Fundamentals of electrical engineering |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to explain the fundamental principles, inter-dependencies, and methods of signal and power integrity of electronic systems. They are able to relate signal and power integrity to the context of interference-free design of such systems, i.e. their electromagnetic compatibility. They are capable of explaining the basic behavior of signals and power supply in typical packages and interconnects. They are able to propose and describe problem solving strategies for signal and power integrity issues. They are capable of giving an overview over measurement and simulation methods for characterization of signal and power integrity in electrical engineering practice. |
Skills |
Students are able to apply a series of modeling methods for characterization of electromagnetic field behavior in packages and interconnect structure of electronic systems. They are able to determine the most important effects that these models are predicting in terms of signal and power integrity. They can classify these effects and they can quantitatively analyze them. They are capable of deriving problem solving strategies from these predictions and they can adapt them to applications in electrical engineering practice. The can evaluate their problem solving strategies against each other. |
Personal Competence | |
Social Competence |
Students are able to work together on subject related tasks in small groups. They are able to present their results effectively in English (e.g. during CAD exercises). |
Autonomy |
Students are capable to gather necessary information from the references provided and relate that information to the context of the lecture. They are able to make a connection between their knowledge obtained in this lecture with the content of other lectures (e.g. theory of electromagnetic fields, communications, and semiconductor circuit design). They can communicate problems and solutions in the field of signal integrity and power supply of interconnect and packages in English. |
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | 30-60 minutes |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory Electrical Engineering: Specialisation Microwave Engineering, Optics, and Electromagnetic Compatibility: Elective Compulsory Mechatronics: Technical Complementary Course: Elective Compulsory |
Course L0770: EMC II: Signal Integrity and Power Supply of Electronic Systems |
Typ | Lecture |
Hrs/wk | 3 |
CP | 4 |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Lecturer | Prof. Christian Schuster |
Language | DE/EN |
Cycle | WiSe |
Content |
- The role of packages and interconnects in electronic systems - Components of packages and interconnects in electronic systems - Main goals and concepts of signal and power integrity of electronic systems - Repeat of relevant concepts from the theory electromagnetic fields - Properties of digital signals and systems - Design and characterization of signal integrity - Design and characterization of power supply - Techniques and devices for measurements in time- and frequency-domain - CAD tools for electrical analysis and design of packages and interconnects - Connection to overall electromagnetic compatibility of electronic systems |
Literature |
- J. Franz, "EMV: Störungssicherer Aufbau elektronischer Schaltungen", Springer (2012) - R. Tummala, "Fundamentals of Microsystems Packaging", McGraw-Hill (2001) - S. Ramo, J. Whinnery, T. Van Duzer, "Fields and Waves in Communication Electronics", Wiley (1994) - S. Thierauf, "Understanding Signal Integrity", Artech House (2010) - M. Swaminathan, A. Engin, "Power Integrity Modeling and Design for Semiconductors and Systems", Prentice-Hall (2007) |
Course L0771: EMC II: Signal Integrity and Power Supply of Electronic Systems |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Christian Schuster |
Language | DE/EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L0774: EMC II: Signal Integrity and Power Supply of Electronic Systems |
Typ | Laboratory Course |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Christian Schuster |
Language | DE/EN |
Cycle | WiSe |
Content |
- The role of packages and interconnects in electronic systems - Components of packages and interconnects in electronic systems - Main goals and concepts of signal and power integrity of electronic systems - Repeat of relevant concepts from the theory electromagnetic fields - Properties of digital signals and systems - Design and characterization of signal integrity - Design and characterization of power supply - Techniques and devices for measurements in time- and frequency-domain - CAD tools for electrical analysis and design of packages and interconnects - Connection to overall electromagnetic compatibility of electronic systems |
Literature |
- J. Franz, "EMV: Störungssicherer Aufbau elektronischer Schaltungen", Springer (2012) - R. Tummala, "Fundamentals of Microsystems Packaging", McGraw-Hill (2001) - S. Ramo, J. Whinnery, T. Van Duzer, "Fields and Waves in Communication Electronics", Wiley (1994) - S. Thierauf, "Understanding Signal Integrity", Artech House (2010) - M. Swaminathan, A. Engin, "Power Integrity Modeling and Design for Semiconductors and Systems", Prentice-Hall (2007) |
Module M0788: Microwave Semiconductor Devices and Circuits II |
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Courses | ||||||||||||||||
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Module Responsible | Prof. Arne Jacob |
Admission Requirements | None |
Recommended Previous Knowledge |
Fundamentals of Semiconductor Technology, Microwave Engineering, Microwave Semiconductor Devices and Circuits I |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students are capable of explaining the functionality of frequency multipliers in detail. They can present theories, concepts, and reasonable assumptions for description and synthesis. They are able to apply indepth knowledge on semiconductor physics of selected microwave devices to the frequency multiplier. Students can describe microwave measurement methods. |
Skills |
The students can assess effects occurring in active microwave circuits and are capable of analyzing and evaluating them. They are able to design and realize linear and nonlinear microwave circuits with help of modern software tools, taking application and manufacturing requirements into account. They are able to select and apply suitable measurement techniques. |
Personal Competence | |
Social Competence |
The students are able to carry out subject-specific tasks in small groups, and to adequately present solutions (e.g. in microwave circuit design laboratory). They are capable of assessing and reflecting their contribution to the overall project (satellite receiver). They are able to communicate with different groups and with a supervisor, and to handle feedback on their own performance constructively. |
Autonomy |
The students are able to obtain additional information from given literature sources and set the content in context with the lecture. They can link and deepen their knowledge of other courses and translate their knowledge to practical situation. The students acquire the ability to communicate problems and solutions in the field of microwave semiconductor devices and circuits in English. They can assess their abilities and results of their work and evaluate the necessity of support. |
Workload in Hours | Independent Study Time 96, Study Time in Lecture 84 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | 30 min |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Microwave Engineering, Optics, and Electromagnetic Compatibility: Elective Compulsory |
Course L0788: Microwave Semiconductor Devices and Circuits II |
Typ | Lecture |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Arne Jacob |
Language | DE/EN |
Cycle | WiSe |
Content |
- Frequency multiplier: Harmonic balance, noise in nonlinear circuits; Step Recovery Diode, FET; circuit synthesis, large signal, noise, and stability analysis - Low Noise Amplifier (LNA) circuit design: Stability and stability circles, gain and gain circles, noise, noise figure and noise figure circles - Mixer, oscillator: Measurement techniques (Network analyzer, Spectrum analyzer, Frequency generator) |
Literature |
- E. Voges, „Hochfrequenztechnik“, Hüthig (2004) - H.-G. Unger, W. Harth, „Hochfrequenz-Halbleiterelektronik“, S. Hirzel Verlag (1972)- S.M. Sze, "Physics of Semiconductor Devices", John Wiley & Sons (1981) - A. Jacob, "Lecture Notes Microwave Semiconductor Devices and Circuits Part II" |
Course L0789: Microwave Semiconductor Devices and Circuits II |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Arne Jacob |
Language | DE/EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L0790: Microwave Circuit Design Laboratory |
Typ | Laboratory Course |
Hrs/wk | 4 |
CP | 4 |
Workload in Hours | Independent Study Time 64, Study Time in Lecture 56 |
Lecturer | Prof. Arne Jacob |
Language | DE/EN |
Cycle | WiSe |
Content |
- Satellite receiver at X-Band (low noise amplifier, mixer, oscillator): Circuit and system design, realization, and characterization |
Literature |
- A. Jacob, "Microwave Circuit Design Laboratory Guide" |
The specialization ‚Medical Technology‘ offers students the opportunity to put an interdisciplinary focus in their studies. On the one hand, a series of technical modules foster an in-depth understanding of modern medical technology, particularly with respect to electrical engineering. On the other hand, modules on medical topics provide insight into clinical problems, environments and terminology. Students will be able to design, implement, and evaluate methods, algorithms and systems in the context of clinical scenarios. The assessment will be based on their knowledge of the complex system ‘patient’. Hence, competencies developed in this specialization at the interface between electrical engineering and medicine prepare students for positions in industry and academia.
Module M0548: Bioelectromagnetics: Principles and Applications |
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Courses | ||||||||||||
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Module Responsible | Prof. Christian Schuster |
Admission Requirements | None |
Recommended Previous Knowledge |
Basic principles of physics |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students can explain the basic principles, relationships, and methods of bioelectromagnetics, i.e. the quantification and application of electromagnetic fields in biological tissue. They can define and exemplify the most important physical phenomena and order them corresponding to wavelength and frequency of the fields. They can give an overview over measurement and numerical techniques for characterization of electromagnetic fields in practical applications . They can give examples for therapeutic and diagnostic utilization of electromagnetic fields in medical technology. |
Skills |
Students know how to apply various methods to characterize the behavior of electromagnetic fields in biological tissue. In order to do this they can relate to and make use of the elementary solutions of Maxwell’s Equations. They are able to assess the most important effects that these models predict for biological tissue, they can order the effects corresponding to wavelength and frequency, respectively, and they can analyze them in a quantitative way. They are able to develop validation strategies for their predictions. They are able to evaluate the effects of electromagnetic fields for therapeutic and diagnostic applications and make an appropriate choice. |
Personal Competence | |
Social Competence |
Students are able to work together on subject related tasks in small groups. They are able to present their results effectively in English (e.g. during small group exercises). |
Autonomy |
Students are capable to gather information from subject related, professional publications and relate that information to the context of the lecture. They are able to make a connection between their knowledge obtained in this lecture with the content of other lectures (e.g. theory of electromagnetic fields, fundamentals of electrical engineering / physics). They can communicate problems and effects in the field of bioelectromagnetics in English. |
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | 30-60 minutes |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Microwave Engineering, Optics, and Electromagnetic Compatibility: Elective Compulsory Electrical Engineering: Specialisation Medical Technology: Elective Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory International Management and Engineering: Specialisation II. Electrical Engineering: Elective Compulsory 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 |
Course L0371: Bioelectromagnetics: Principles and Applications |
Typ | Lecture |
Hrs/wk | 3 |
CP | 5 |
Workload in Hours | Independent Study Time 108, Study Time in Lecture 42 |
Lecturer | Prof. Christian Schuster |
Language | DE/EN |
Cycle | SoSe |
Content |
- Fundamental properties of electromagnetic fields (phenomena) - Mathematical description of electromagnetic fields (Maxwell’s Equations) - Electromagnetic properties of biological tissue - Principles of energy absorption in biological tissue, dosimetry - Numerical methods for the computation of electromagnetic fields (especially FDTD) - Measurement techniques for characterization of electromagnetic fields - Behavior of electromagnetic fields of low frequency in biological tissue - Behavior of electromagnetic fields of medium frequency in biological tissue - Behavior of electromagnetic fields of high frequency in biological tissue - Behavior of electromagnetic fields of very high frequency in biological tissue - Diagnostic applications of electromagnetic fields in medical technology - Therapeutic applications of electromagnetic fields in medical technology - The human body as a generator of electromagnetic fields |
Literature |
- C. Furse, D. Christensen, C. Durney, "Basic Introduction to Bioelectromagnetics", CRC (2009) - A. Vorst, A. Rosen, Y. Kotsuka, "RF/Microwave Interaction with Biological Tissues", Wiley (2006) - S. Grimnes, O. Martinsen, "Bioelectricity and Bioimpedance Basics", Academic Press (2008) - F. Barnes, B. Greenebaum, "Bioengineering and Biophysical Aspects of Electromagnetic Fields", CRC (2006) |
Course L0373: Bioelectromagnetics: Principles and Applications |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 1 |
Workload in Hours | Independent Study Time 2, Study Time in Lecture 28 |
Lecturer | Prof. Christian Schuster |
Language | DE/EN |
Cycle | SoSe |
Content |
- Fundamental properties of electromagnetic fields (phenomena) - Mathematical description of electromagnetic fields (Maxwell’s Equations) - Electromagnetic properties of biological tissue - Principles of energy absorption in biological tissue, dosimetry - Numerical methods for the computation of electromagnetic fields (especially FDTD) - Measurement techniques for characterization of electromagnetic fields - Behavior of electromagnetic fields of low frequency in biological tissue - Behavior of electromagnetic fields of medium frequency in biological tissue - Behavior of electromagnetic fields of high frequency in biological tissue - Behavior of electromagnetic fields of very high frequency in biological tissue - Diagnostic applications of electromagnetic fields in medical technology - Therapeutic applications of electromagnetic fields in medical technology - The human body as a generator of electromagnetic fields |
Literature |
- C. Furse, D. Christensen, C. Durney, "Basic Introduction to Bioelectromagnetics", CRC (2009) - A. Vorst, A. Rosen, Y. Kotsuka, "RF/Microwave Interaction with Biological Tissues", Wiley (2006) - S. Grimnes, O. Martinsen, "Bioelectricity and Bioimpedance Basics", Academic Press (2008) - F. Barnes, B. Greenebaum, "Bioengineering and Biophysical Aspects of Electromagnetic Fields", CRC (2006) |
Module M0630: Robotics and Navigation in Medicine |
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Courses | ||||||||||||||||
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Module Responsible | Prof. Alexander Schlaefer |
Admission Requirements |
None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students can explain kinematics and tracking systems in clinical contexts and illustrate systems and their components in details. Systems can be evaluated with respect to collision detection and safety and regulations. Students can assess typical systems regarding design and limitations. |
Skills |
The students are able to design and evaluate navigation systems and robotic systems for medical applications. |
Personal Competence | |
Social Competence |
The students discuss the results of other groups, provide helpful feedback and can incoorporate feedback into their work. |
Autonomy |
The students can reflect their knowledge and document the results of their work. They can present the results in an appropriate manner. |
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 90 minutes |
Assignment for the Following Curricula |
Computer Science: Specialisation Intelligence Engineering: Elective Compulsory Electrical Engineering: Specialisation Medical Technology: Elective Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory International Management and Engineering: Specialisation II. Electrical Engineering: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory Product Development, Materials and Production: Specialisation Production: Elective Compulsory Product Development, Materials and Production: Specialisation Materials: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory |
Course L0335: Robotics and Navigation in Medicine |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Alexander Schlaefer |
Language | EN |
Cycle | SoSe |
Content |
- kinematics |
Literature |
Spong et al.: Robot Modeling and Control, 2005 |
Course L0338: Robotics and Navigation in Medicine |
Typ | Project Seminar |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Alexander Schlaefer |
Language | EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L0336: Robotics and Navigation in Medicine |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Alexander Schlaefer |
Language | EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0635: Medical Technology Lab |
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Courses | ||||||||
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Module Responsible | Prof. Alexander Schlaefer |
Admission Requirements |
good programming skills |
Recommended Previous Knowledge |
sound programming skills (Java / C++) |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students recognize the complexity of medical technology and can explain, which methods are appropriate to solve a problem at hand. |
Skills |
The students are able to analyze and solve problems in medical technology. |
Personal Competence | |
Social Competence |
The students can define project aims and scope and organize the project as team work. They can present their results in an appropriate manner. |
Autonomy |
The students take responsibility for their tasks and coordinate their individual work with other group members. They deliver their work on time. They independently acquire additional knowledge by doing a specific literature research. |
Workload in Hours | Independent Study Time 96, Study Time in Lecture 84 |
Credit points | 6 |
Examination | Written elaboration |
Examination duration and scale | approx. 8 pages, time frame: over the course of the semester |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Medical Technology: Elective Compulsory |
Course L1096: Medical Technology Lab |
Typ | Problem-based Learning |
Hrs/wk | 6 |
CP | 6 |
Workload in Hours | Independent Study Time 96, Study Time in Lecture 84 |
Lecturer | Prof. Alexander Schlaefer |
Language | DE/EN |
Cycle | SoSe |
Content |
The actual project topic will be defined as part of the project. |
Literature |
Wird in der Veranstaltung bekannt gegeben. |
Module M0811: Medical Imaging Systems |
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Courses | ||||||||
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Module Responsible | Dr. Michael Grass |
Admission Requirements | none |
Recommended Previous Knowledge | none |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students can:
Describe and explain the main clinical uses of the different systems. |
Skills |
Students are able to:
Select a suitable imaging system for an application. |
Personal Competence | |
Social Competence | none |
Autonomy |
Students can:
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Medical Technology: Elective Compulsory Biomedical Engineering: Core qualification: Compulsory Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory Product Development, Materials and Production: Specialisation Production: Elective Compulsory Product Development, Materials and Production: Specialisation Materials: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L0819: Medical Imaging Systems |
Typ | Lecture |
Hrs/wk | 4 |
CP | 6 |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Lecturer | Dr. Michael Grass, Dr. Tim Nielsen, Dr. Sven Prevrhal, Frank Michael Weber |
Language | DE |
Cycle | SoSe |
Content | |
Literature |
Primary book: 1. P. Suetens, "Fundamentals of Medical Imaging", Cambridge Press Secondary books: - A. Webb, "Introduction to Biomedical Imaging", IEEE Press 2003. - W.R. Hendee and E.R. Ritenour, "Medical Imaging Physics", Wiley-Liss, New York, 2002. - H. Morneburg (Edt), "Bildgebende Systeme für die medizinische Diagnostik", Erlangen: Siemens Publicis MCD Verlag, 1995. - O. Dössel, "Bildgebende Verfahren in der Medizin", Springer Verlag Berlin, 2000. |
Module M0845: Feedback Control in Medical Technology |
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Courses | ||||||||
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Module Responsible | Prof. Olaf Simanski |
Admission Requirements | |
Recommended Previous Knowledge |
Basics in Control, Basics in Physiology |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The lecture will introduce into the fascinating area of medical technology with the engineering point of view. Fundamentals in human physiology will be similarly introduced like knowledge in control theory. Internal control loops of the human body will be discussed in the same way like the design of external closed loop system fo example in for anesthesia control. The handling of PID controllers and modern controller like predictive controller or fuzzy controller or neural networks will be illustrated. The operation of simple equivalent circuits will be discussed. |
Skills |
Application of modeling, identification, control technology in the field of medical technology. |
Personal Competence | |
Social Competence |
Students can develop solutions to specific problems in small groups and present their results (e.g. during project week) |
Autonomy |
Students are able to find necessary literature and to set it into the context of the lecture. They are able to continuously evaluate their knowledge and to take control of their learning process. They can combine knowledge from different courses to form a consistent whole. |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Credit points | 3 |
Examination | Oral exam |
Examination duration and scale | |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory Electrical Engineering: Specialisation Medical Technology: Elective Compulsory Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory Biomedical Engineering: Specialisation Medical Technology and Control Theory: Compulsory Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory |
Course L0664: Feedback Control in Medical Technology |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Ulf Pilz, Prof. Olaf Simanski |
Language | DE |
Cycle | SoSe |
Content |
Taking an engineering point of view, the lecture is structured as follows.
The lecture will use knowledge from modeling, simulation and controller design and MATLAB and SIMULINK will be used. |
Literature |
Silbernagel/Depopoulos: Taschenatlas der Physiologie, Thieme Verlag Stuttgart Werner: Kooperative und autonome Systeme der Medizintechnik, Oldenburg Verlag M.C.K.Khoo:“Physiological Control System“, IEEE Press, 2000 |
Module M1277: MED I: Introduction to Anatomy |
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Courses | ||||||||
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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 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 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 |
Examination | Written exam |
Examination duration and scale | 90 minutes |
Assignment for the Following Curricula |
General Engineering Science (German program): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory General Engineering Science (German program): Specialisation Biomedical Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory Electrical Engineering: Specialisation Medical Technology: Elective Compulsory General Engineering Science (English program): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory General Engineering Science (English program): Specialisation Biomedical Engineering: 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 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 1st week: The Eucaryote Cell 2nd week: The Tissues 3rd week: Cell Cycle, Basics in Development 4th week: Musculoskeletal System 5th week: Cardiovascular System 6th week: Respiratory System 7th week: Genito-urinary System 8th week: Immune system 9th week: Digestive System I 10th week: Digestive System II 11th week: Endocrine System 12th week: Nervous System 13th week: Exam |
Literature |
Adolf Faller/Michael Schünke, Der Körper des Menschen, 16. Auflage, Thieme Verlag Stuttgart, 2012 |
Module M1280: MED II: Introduction to Physiology |
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Courses | ||||||||
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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
|
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 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 |
Examination | Written exam |
Examination duration and scale | 60 minutes |
Assignment for the Following Curricula |
General Engineering Science (German program): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory General Engineering Science (German program): Specialisation Biomedical Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory Electrical Engineering: Specialisation Medical Technology: Elective Compulsory General Engineering Science (English program): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory General Engineering Science (English program): Specialisation Biomedical Engineering: 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 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: Core qualification: 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. Roger Zimmermann |
Language | DE |
Cycle | SoSe |
Content | |
Literature |
Taschenatlas der Physiologie, Silbernagl Despopoulos, ISBN 978-3-135-67707-1, Thieme Repetitorium Physiologie, Speckmann, ISBN 978-3-437-42321-5, Elsevier |
Module M1278: MED I: Introduction to Radiology and Radiation Therapy |
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Courses | ||||||||
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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 complex treatment plans used in radiation therapy in interdisciplinary contexts (e.g. surgery, internal medicine). The students can describe the patients' passage from their initial admittance through to follow-up care. Diagnostics The students can illustrate the technical base concepts of projection radiography, including angiography and mammography, as well as sectional imaging techniques (CT, MRT, US). The students can explain the diagnostic as well as therapeutic use of imaging techniques, as well as the technical basis for those techniques. The students can choose the right treatment method depending on the patient's clinical history and needs. The student can explain the influence of technical errors on the imaging techniques. The student can draw the right conclusions based on the images' diagnostic findings or the error protocol. |
Skills |
Therapy The students can distinguish curative and palliative situations and motivate why they came to that conclusion. The students can develop adequate therapy concepts and relate it to the radiation biological aspects. The students can use the therapeutic principle (effects vs adverse effects) The students can distinguish different kinds of radiation, can choose the best one depending on the situation (location of the tumor) and choose the energy needed in that situation (irradiation planning). The student can assess what an individual psychosocial service should look like (e.g. follow-up treatment, sports, social help groups, self-help groups, social services, psycho-oncology). Diagnostics The students can suggest solutions for repairs of imaging instrumentation after having done error analyses. The students can classify results of imaging techniques according to different groups of diseases based on their knowledge of anatomy, pathology and pathophysiology. |
Personal Competence | |
Social Competence |
The students can assess the special social situation of tumor patients and interact with them in a professional way. The students are aware of the special, often fear-dominated behavior of sick people caused by diagnostic and therapeutic measures and can meet them appropriately. |
Autonomy |
The students can apply their new knowledge and skills to a concrete therapy case. The students can introduce younger students to the clinical daily routine. The students are able to access anatomical knowledge by themselves, can participate competently in conversations on the topic and acquire the relevant knowledge themselves. |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Credit points | 3 |
Examination | Written exam |
Examination duration and scale | 90 minutes |
Assignment for the Following Curricula |
General Engineering Science (German program): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory General Engineering Science (German program): Specialisation Biomedical Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory Electrical Engineering: Specialisation Medical Technology: Elective Compulsory General Engineering Science (English program): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory General Engineering Science (English program): Specialisation Biomedical Engineering: 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 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 “X-ray” at best. It will be distinguished between the two arms of diagnostic (Prof. Dr. med. Thomas Vestring) and therapeutic (Prof. Dr. med. Ulrich Carl) use of X-rays. Both arms depend on special big units, which determine a predefined sequence in their respective departments |
Literature |
|
Module M1325: Seminar Medical Technology |
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Courses | ||||||||
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Module Responsible | Prof. Alexander Schlaefer |
Admission Requirements | None |
Recommended Previous Knowledge | Engineering / Mathematics |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge | Review of a recent scientific publication |
Skills |
Reviewing of a scientific publications |
Personal Competence | |
Social Competence | presentation skills |
Autonomy | Consider the publication in the context of the student's knowledge |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Credit points | 2 |
Examination | Presentation |
Examination duration and scale | 20-30 minutes |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Medical Technology: Elective Compulsory |
Course L1830: Seminar Medical Technology |
Typ | Seminar |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Alexander Schlaefer |
Language | EN |
Cycle |
WiSe/ |
Content | We are considering recent scientific publications in the field of medical technology. Students will review a paper and discuss it's merits in the context of the state of the art. The key methods and results will be presented in a talk. Students will critically acclaim the authors contribution. |
Literature | TBD |
Module M0550: Digital Image Analysis |
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Courses | ||||||||
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Module Responsible | Prof. Rolf-Rainer Grigat |
Admission Requirements | None |
Recommended Previous Knowledge |
System theory of one-dimensional signals (convolution and correlation, sampling theory, interpolation and decimation, Fourier transform, linear time-invariant systems), linear algebra (Eigenvalue decomposition, SVD), basic stochastics and statistics (expectation values, influence of sample size, correlation and covariance, normal distribution and its parameters), basics of Matlab, basics in optics |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students can
|
Skills |
Students are able to
Students can solve simple arithmetical problems relating to the specification and design of image processing and image analysis systems. Students are able to assess different solution approaches in multidimensional decision-making areas. Students can undertake a prototypical analysis of processes in Matlab. |
Personal Competence | |
Social Competence |
k.A. |
Autonomy |
Students can solve image analysis tasks independently using the relevant literature. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 60 Minutes, Content of Lecture and materials in StudIP |
Assignment for the Following Curricula |
Computer Science: Specialisation Intelligence Engineering: Elective Compulsory Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory Electrical Engineering: Specialisation Medical Technology: Elective Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory Information and Communication Systems: Specialisation Communication Systems, Focus Signal Processing: Elective Compulsory Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Software and Signal Processing: Elective Compulsory International Management and Engineering: Specialisation II. Information Technology: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory |
Course L0126: Digital Image Analysis |
Typ | Lecture |
Hrs/wk | 4 |
CP | 6 |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Lecturer | Prof. Rolf-Rainer Grigat |
Language | EN |
Cycle | WiSe |
Content |
|
Literature |
Bredies/Lorenz, Mathematische Bildverarbeitung, Vieweg, 2011 |
Module M0623: Intelligent Systems in Medicine |
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Courses | ||||||||||||||||
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Module Responsible | Prof. Alexander Schlaefer |
Admission Requirements | None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students are able to analyze and solve clinical treatment planning and decision support problems using methods for search, optimization, and planning. They are able to explain methods for classification and their respective advantages and disadvantages in clinical contexts. The students can compare different methods for representing medical knowledge. They can evaluate methods in the context of clinical data and explain challenges due to the clinical nature of the data and its acquisition and due to privacy and safety requirements. |
Skills |
The students can give reasons for selecting and adapting methods for classification, regression, and prediction. They can assess the methods based on actual patient data and evaluate the implemented methods. |
Personal Competence | |
Social Competence |
The students discuss the results of other groups, provide helpful feedback and can incoorporate feedback into their work. |
Autonomy |
The students can reflect their knowledge and document the results of their work. They can present the results in an appropriate manner. |
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 90 minutes |
Assignment for the Following Curricula |
Computer Science: Specialisation Intelligence Engineering: Elective Compulsory Electrical Engineering: Specialisation Medical Technology: Elective Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L0331: Intelligent Systems in Medicine |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Alexander Schlaefer |
Language | EN |
Cycle | WiSe |
Content |
- methods for search, optimization, planning, classification, regression and prediction in a clinical context |
Literature |
Russel & Norvig: Artificial Intelligence: a Modern Approach, 2012 |
Course L0334: Intelligent Systems in Medicine |
Typ | Project Seminar |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Alexander Schlaefer |
Language | EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L0333: Intelligent Systems in Medicine |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Alexander Schlaefer |
Language | EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0768: Microsystems Technology in Theory and Practice |
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Courses | ||||||||||||
|
Module Responsible | Prof. Hoc Khiem Trieu |
Admission Requirements | None |
Recommended Previous Knowledge |
Basics in physics, chemistry, mechanics and semiconductor technology |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able • to present and to explain current fabrication techniques for microstructures and especially methods for the fabrication of microsensors and microactuators, as well as the integration thereof in more complex systems • to explain in details operation principles of microsensors and microactuators and • to discuss the potential and limitation of microsystems in application. |
Skills |
Students are capable • to analyze the feasibility of microsystems, • to develop process flows for the fabrication of microstructures and • to apply them. |
Personal Competence | |
Social Competence |
Students are able to prepare and perform their lab experiments in team work as well as to present and discuss the results in front of audience. |
Autonomy |
None |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | 30 min |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory Electrical Engineering: Specialisation Medical Technology: Elective Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory International Management and Engineering: Specialisation II. Mechatronics: Elective Compulsory Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory Microelectronics and Microsystems: Core qualification: Elective Compulsory |
Course L0724: Microsystems Technology |
Typ | Lecture |
Hrs/wk | 2 |
CP | 4 |
Workload in Hours | Independent Study Time 92, Study Time in Lecture 28 |
Lecturer | Prof. Hoc Khiem Trieu |
Language | EN |
Cycle | WiSe |
Content |
|
Literature |
M. Madou: Fundamentals of Microfabrication, CRC Press, 2002 N. Schwesinger: Lehrbuch Mikrosystemtechnik, Oldenbourg Verlag, 2009 T. M. Adams, R. A. Layton:Introductory MEMS, Springer, 2010 G. Gerlach; W. Dötzel: Introduction to microsystem technology, Wiley, 2008 |
Course L0725: Microsystems Technology |
Typ | Problem-based Learning |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Hoc Khiem Trieu |
Language | EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0792: Reserach Project in Medical Technology |
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Courses | ||||
|
Module Responsible | Dozenten des SD E |
Admission Requirements | None |
Recommended Previous Knowledge |
Advanced state of knowledge in the electrical engineering master program |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students know current research topics oft institutes engaged in their specialization. They can name the fundamental scientific methods used for doing related reserach. |
Skills |
Students are capable of completing a small, independent sub-project of currently ongoing research projects in the institutes engaged in their specialization. Students can justify and explain their approach for problem solving, they can draw conclusions from their results, and then can find new ways and methods for their work. Students are capable of comparing and assessing alterantive approaches with their own with regard to given criteria. |
Personal Competence | |
Social Competence |
Students are able to discuss their work progress with research assistants of the supervising institute . They are capable of presenting their results in front of a professional audience. |
Autonomy |
Based on their competences gained so far students are capable of defining meaningful tasks within ongoing research project for themselves. They are able to develop the necessary understanding and problem solving methods. |
Workload in Hours | Independent Study Time 180, Study Time in Lecture 0 |
Credit points | 6 |
Examination | Project (accord. to Subject Specific Regulations) |
Examination duration and scale | |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Medical Technology: Elective Compulsory |
Module M0921: Electronic Circuits for Medical Applications |
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Courses | ||||||||||||||||
|
Module Responsible | NN |
Admission Requirements | None |
Recommended Previous Knowledge | Fundamentals of electrical engineering |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
|
Skills |
|
Personal Competence | |
Social Competence |
|
Autonomy |
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | 40 min |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Medical Technology: Elective Compulsory Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory Biomedical Engineering: Specialisation Medical Technology and Control Theory: Compulsory Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory Microelectronics and Microsystems: Specialisation Microelectronics Complements: Elective Compulsory |
Course L0696: Electronic Circuits for Medical Applications |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | NN |
Language | EN |
Cycle | WiSe |
Content |
|
Literature |
Kim E. Barret, Susan M. Barman, Scott Boitano and Heddwen L. Brooks Ganong‘s Review of Medical Physiology, 24nd Edition, McGraw Hill Lange, 2010 Tier- und Humanphysiologie: Eine Einführung von Werner A. Müller (Author), Stephan Frings (Author), 657 p., 4. editions, Springer, 2009 Robert F. Schmidt (Editor), Hans-Georg Schaible (Editor) Neuro- und Sinnesphysiologie (Springer-Lehrbuch) (Paper back), 488 p., Springer, 2006, 5. Edition, currently online only Vorlesungen der Universität Heidelberg zur Tier- und Humanphysiologie: http://www.sinnesphysiologie.de/gruvo03/gruvoin.htm Internet: http://butler.cc.tut.fi/~malmivuo/bem/bembook/ |
Course L1056: Electronic Circuits for Medical Applications |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | NN |
Language | EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L1408: Electronic Circuits for Medical Applications |
Typ | Laboratory Course |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | NN |
Language | EN |
Cycle | WiSe |
Content |
|
Literature |
Kim E. Barret, Susan M. Barman, Scott Boitano and Heddwen L. Brooks Ganong‘s Review of Medical Physiology, 24nd Edition, McGraw Hill Lange, 2010 Tier- und Humanphysiologie: Eine Einführung von Werner A. Müller (Author), Stephan Frings (Author), 657 p., 4. editions, Springer, 2009 Robert F. Schmidt (Editor), Hans-Georg Schaible (Editor) Neuro- und Sinnesphysiologie (Springer-Lehrbuch) (Paper back), 488 p., Springer, 2006, 5. Edition, currently online only Vorlesungen der Universität Heidelberg zur Tier- und Humanphysiologie: http://www.sinnesphysiologie.de/gruvo03/gruvoin.htm Internet: http://butler.cc.tut.fi/~malmivuo/bem/bembook/ |
Module M1249: Numerical Methods for Medical Imaging |
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Courses | ||||||||||||
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Module Responsible | Prof. Tobias Knopp |
Admission Requirements | None |
Recommended Previous Knowledge | |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge | |
Skills | |
Personal Competence | |
Social Competence | |
Autonomy | |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 90 min |
Assignment for the Following Curricula |
Computer Science: Specialisation Intelligence Engineering: Elective Compulsory Electrical Engineering: Specialisation Modeling and Simulation: Elective Compulsory Electrical Engineering: Specialisation Medical Technology: Elective Compulsory Electrical Engineering: Specialisation Medical Technology: Elective Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory |
Course L1694: Numerical Methods for Medical Imaging |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Tobias Knopp |
Language | DE |
Cycle | WiSe |
Content | |
Literature |
Bildgebende Verfahren in der Medizin; O. Dössel; Springer, Berlin, 2000 Bildgebende Systeme für die medizinische Diagnostik; H. Morneburg (Hrsg.); Publicis MCD, München, 1995 Introduction to the Mathematics of Medical Imaging; C. L.Epstein; Siam, Philadelphia, 2008 Medical Image Processing, Reconstruction and Restoration; J. Jan; Taylor and Francis, Boca Raton, 2006 Principles of Magnetic Resonance Imaging; Z.-P. Liang and P. C. Lauterbur; IEEE Press, New York, 1999 |
Course L1695: Numerical Methods for Medical Imaging |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Tobias Knopp |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1279: MED II: Introduction to Biochemistry and Molecular Biology |
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Courses | ||||||||
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Module Responsible | Prof. Hans-Jürgen Kreienkamp |
Admission Requirements | None |
Recommended Previous Knowledge | None |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students can
|
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 |
Examination | Written exam |
Examination duration and scale | 60 minutes |
Assignment for the Following Curricula |
General Engineering Science (German program): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory General Engineering Science (German program): Specialisation Biomedical Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory Electrical Engineering: Specialisation Medical Technology: Elective Compulsory General Engineering Science (English program): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory General Engineering Science (English program): Specialisation Biomedical Engineering: 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 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: Core qualification: Elective Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory |
Course L0386: Introduction to Biochemistry and Molecular Biology |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Hans-Jürgen Kreienkamp |
Language | DE |
Cycle | WiSe |
Content | |
Literature |
Müller-Esterl, Biochemie, Spektrum Verlag, 2010; 2. Auflage Löffler, Basiswissen Biochemie, 7. Auflage, Springer, 2008 |
In this specialization students have the opportunity to select courses that focus on the areas of mathematical modeling, numerical techniques, computer aided engineering (CAE) and state-of- the-art simulation tools with application in electrical engineering. Students will learn to derive, implement, validate, and optimize numerical algorithms. Thereby students will obtain unique competencies at the interface between mathematics, computer science, and electrical engineering that are required for corresponding positions in industry and academia.
Module M0747: Microsystem Design |
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Courses | ||||||||||||
|
Module Responsible | Prof. Manfred Kasper |
Admission Requirements | |
Recommended Previous Knowledge |
Mathematical Calculus, Linear Algebra, Microsystem Engineering |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students know about the most important and most common simulation and design methods used in microsystem design. The scientific background of finite element methods and the basic theory of these methods are known. |
Skills |
Students are able to apply simulation methods and commercial simulators in a goal oriented approach to complex design tasks. Students know to apply the theory in order achieve estimates of expected accuracy and can judge and verify the correctness of results. Students are able to develop a design approach even if only incomplete information about material data or constraints are available. Student can make use of approximate and reduced order models in a preliminary design stage or a system simulation. |
Personal Competence | |
Social Competence |
Students are able to solve specific problems alone or in a group and to present the results accordingly. Students can develop and explain their solution approach and subdivide the design task to subproblems which are solved separately by group members. |
Autonomy |
Students are able to acquire particular knowledge using specialized literature and to integrate and associate this knowledge with other fields. |
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | halbstündig |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory Electrical Engineering: Specialisation Modeling and Simulation: Elective Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory Microelectronics and Microsystems: Core qualification: Elective Compulsory |
Course L0683: Microsystem Design |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Manfred Kasper |
Language | EN |
Cycle | SoSe |
Content |
Finite difference methods Approximation error Finite element method Order of convergence Error estimation, mesh refinement Makromodeling Reduced order modeling Black-box models System identification Multi-physics systems System simulation Levels of simulation, network simulation Transient problems Non-linear problems Introduction to Comsol Application to thermal, electric, electromagnetic, mechanical and fluidic problems |
Literature |
M. Kasper: Mikrosystementwurf, Springer (2000) S. Senturia: Microsystem Design, Kluwer (2001) |
Course L0684: Microsystem Design |
Typ | Laboratory Course |
Hrs/wk | 3 |
CP | 3 |
Workload in Hours | Independent Study Time 48, Study Time in Lecture 42 |
Lecturer | Prof. Manfred Kasper |
Language | EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0714: Numerical Treatment of Ordinary Differential Equations |
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Courses | ||||||||||||
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Module Responsible | Prof. Blanca Ayuso Dios |
Admission Requirements | None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to
|
Skills |
Students are able to
|
Personal Competence | |
Social Competence |
Students are able to
|
Autonomy |
Students are capable
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 180 min |
Assignment for the Following Curricula |
Bioprocess Engineering: Specialisation A - General Bioprocess Engineering: Elective Compulsory Chemical and Bioprocess Engineering: Specialisation Chemical Process Engineering: Elective Compulsory Chemical and Bioprocess Engineering: Specialisation General Process Engineering: Elective Compulsory Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory Electrical Engineering: Specialisation Modeling and Simulation: Elective Compulsory Energy Systems: Core qualification: Elective Compulsory Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory Technomathematics: Specialisation I. Mathematics: Elective Compulsory Theoretical Mechanical Engineering: Core qualification: Compulsory Process Engineering: Specialisation Chemical Process Engineering: Elective Compulsory Process Engineering: Specialisation Process Engineering: Elective Compulsory |
Course L0576: Numerical Treatment of Ordinary Differential Equations |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Dr. Patricio Farrell |
Language | DE/EN |
Cycle | SoSe |
Content |
Numerical methods for Initial Value Problems
Numerical methods for Boundary Value Problems
|
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 | Dr. Patricio Farrell |
Language | DE/EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0692: Approximation and Stability |
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Courses | ||||||||||||||||
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Module Responsible | Prof. Marko Lindner |
Admission Requirements | None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to
|
Skills |
Students are able to
|
Personal Competence | |
Social Competence |
Students are able to solve specific problems in groups and to present their results appropriately (e.g. as a seminar presentation). |
Autonomy |
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | 30 |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory Electrical Engineering: Specialisation Modeling and Simulation: Elective Compulsory Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory Technomathematics: Specialisation I. Mathematics: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L0487: Approximation and Stability |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Marko Lindner |
Language | DE/EN |
Cycle | SoSe |
Content |
This course is about solving the following basic problems of Linear Algebra,
but now in function spaces (i.e. vector spaces of infinite dimension) by a stable approximation of the problem in a space of finite dimension. Contents:
|
Literature |
|
Course L0489: Approximation and Stability |
Typ | Seminar |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | Prof. Marko Lindner |
Language | DE/EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L0488: Approximation and Stability |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Marko Lindner |
Language | DE/EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0653: High-Performance Computing |
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Courses | ||||||||||||
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Module Responsible | Prof. Thomas Rung |
Admission Requirements |
None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to outline the fundamentals of numerical algorithms for high-performance computers by reference to modern hardware examples. Students can explain the relation between hard- and software aspects for the design of algorithms. |
Skills | Student can perform a critical assesment of the computational efficiency of simulation approaches. |
Personal Competence | |
Social Competence | Students are able to develop and code algorithms in a team. |
Autonomy |
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 1.5h |
Assignment for the Following Curricula |
Computer Science: Specialisation Computer and Software Engineering: Elective Compulsory Electrical Engineering: Specialisation Modeling and Simulation: Elective Compulsory Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory Naval Architecture and Ocean Engineering: Core qualification: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L0242: Fundamentals of High-Performance Computing |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Thomas Rung |
Language | DE/EN |
Cycle | SoSe |
Content |
Fundamentals of modern hardware architectur, critical hard- & software aspects for efficient processing of exemplary algorithms, concepts for shared- and distributed-memory systems, implementations for accelerator hardware (GPGPUs) |
Literature |
Course L1416: Fundamentals of High-Performance Computing |
Typ | Problem-based Learning |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Thomas Rung |
Language | DE/EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0935: Microcontroller Circuits: Implementation in Hardware and Software |
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Courses | ||||||||
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Module Responsible | Prof. Siegfried Rump |
Admission Requirements | none. |
Recommended Previous Knowledge | lecture: Computer Architectures |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students can describe parts and operation of a common family of microcontrollers. They know details about operations of CPUs, and they can transfer algorithms to machine code. |
Skills |
The students can design and use electronic circuits (digital with some analogue parts). Furthermore they are able to implement solutions of some tasks by way of assembler programming on these circuits. |
Personal Competence | |
Social Competence |
Groups of two students work on special projects. The students have the skill to separate the project into smaller parts and to present the achieved results in an appropriate short talk. |
Autonomy |
The student can use, select and estimate suitable sources, which are available from information technology companies. They apply those findings to their projects. |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Credit points | 2 |
Examination | Written elaboration |
Examination duration and scale | 15 minutes + disputation |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory Electrical Engineering: Specialisation Modeling and Simulation: Elective Compulsory |
Course L0087: Microcontroller Circuits: Implementation in Hardware and Software |
Typ | Seminar |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Siegfried Rump |
Language | DE |
Cycle |
WiSe/ |
Content | |
Literature |
Module M0800: Numerical Methods for Electromagnetic Field Computation |
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Courses | ||||||||||||
|
Module Responsible | Dr. Heinz-Dietrich Brüns |
Admission Requirements |
None |
Recommended Previous Knowledge | Basic principles of electromagnetic field theory |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Numerical methods in numerical field computation are of increasing importance in electrical engineering, for example in the are of antenna development or for analyzing electromagnetic compatibility problems (EMC). The underlying principles of the major techniques that are currently applied in practice are explained. It turns out that each method has its strengths and weaknesses in relation to specific applications. The students shall be enabled to evaluate which kind of method could be advantageous for a certain case and if an application concerning a certain problem area is manageable at all. |
Skills |
The students will be able to set up discretized models based on the working principle of the chosen numerical method. This is carried out regarding the electrical size and considering the geometrical complexity. The students know the interrelationship between the number of grid elements (surface patches, cells), the necessary memory resulting form this and the computation time. They are aware of the requirements of the method under consideration to achieve convergent results and they learn to validate these results using various techniques. The students are able to distinguish between methods that are used in the time domain, in the frequency domain and in the range of electrostatics. Furthermore the students know the advantages, possibilities and constraints of surface and volume based techniques. |
Personal Competence | |
Social Competence |
In practical exercises small groups of students can apply the program system CONCEPT-II, which is based on one of the most important techniques, the so-called method of moments. The program is under continuous development at the Institute of Electromagnetic Theory. |
Autonomy |
The students are able to generally apply their new knowledge in electromagnetics and to associate it with other courses. On the basis of the introduction given in the lecture they are capable to easily learn more about a technique from the given literature. |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Credit points | 4 |
Examination | Oral exam |
Examination duration and scale | 30 Minutes |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory Electrical Engineering: Specialisation Microwave Engineering, Optics, and Electromagnetic Compatibility: Elective Compulsory Electrical Engineering: Specialisation Modeling and Simulation: Elective Compulsory |
Course L0802: Numerical Methods for Electromagnetic Field Computation |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Dr. Heinz-Dietrich Brüns |
Language | DE/EN |
Cycle | SoSe |
Content |
-Short and in details more comprehensive repetition of relevant fields of electromagnetic theory |
Literature |
Allen Tavlove, Susan C. Hagness: Computational Electrodynamics: The Finite-Difference |
Course L0803: Numerical Methods for Electromagnetic Field Computation |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Dr. Heinz-Dietrich Brüns |
Language | DE/EN |
Cycle | SoSe |
Content |
-Short and in details more comprehensive repetition of relevant fields of electromagnetic theory |
Literature |
Allen Tavlove, Susan C. Hagness: Computational Electrodynamics: The Finite-Difference |
Module M0715: Solvers for Sparse Linear Systems |
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Courses | ||||||||||||
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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 |
Examination | Oral exam |
Examination duration and scale | 30 minutes |
Assignment for the Following Curricula |
Computer Science: Specialisation Computational Mathematics: Elective Compulsory Electrical Engineering: Core qualification: Elective Compulsory Electrical Engineering: Specialisation Modeling and Simulation: Elective Compulsory Computational Science and Engineering: Specialisation Computer 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 | DE/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 | DE/EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1316: Research Project in Modeling and Simulation |
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Courses | ||||
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Module Responsible | Dozenten des SD E |
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 180, Study Time in Lecture 0 |
Credit points | 6 |
Examination | Project (accord. to Subject Specific Regulations) |
Examination duration and scale | |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Modeling and Simulation: Elective Compulsory |
Module M1249: Numerical Methods for Medical Imaging |
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Courses | ||||||||||||
|
Module Responsible | Prof. Tobias Knopp |
Admission Requirements | None |
Recommended Previous Knowledge | |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge | |
Skills | |
Personal Competence | |
Social Competence | |
Autonomy | |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 90 min |
Assignment for the Following Curricula |
Computer Science: Specialisation Intelligence Engineering: Elective Compulsory Electrical Engineering: Specialisation Modeling and Simulation: Elective Compulsory Electrical Engineering: Specialisation Medical Technology: Elective Compulsory Electrical Engineering: Specialisation Medical Technology: Elective Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory |
Course L1694: Numerical Methods for Medical Imaging |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Tobias Knopp |
Language | DE |
Cycle | WiSe |
Content | |
Literature |
Bildgebende Verfahren in der Medizin; O. Dössel; Springer, Berlin, 2000 Bildgebende Systeme für die medizinische Diagnostik; H. Morneburg (Hrsg.); Publicis MCD, München, 1995 Introduction to the Mathematics of Medical Imaging; C. L.Epstein; Siam, Philadelphia, 2008 Medical Image Processing, Reconstruction and Restoration; J. Jan; Taylor and Francis, Boca Raton, 2006 Principles of Magnetic Resonance Imaging; Z.-P. Liang and P. C. Lauterbur; IEEE Press, New York, 1999 |
Course L1695: Numerical Methods for Medical Imaging |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Tobias Knopp |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0586: Efficient Algorithms |
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Courses | ||||||||||||
|
Module Responsible | Prof. Siegfried Rump |
Admission Requirements | None |
Recommended Previous Knowledge |
Programming in Matlab and/or C Basic knowledge in discrete mathematics |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students are able to explain the basic theory and methods of network algorithms and in particular their data structures. They are able to analyze the computational behavior and computing time of linear programming algorithms as well network algorithms. Moreover the students can distinguish between efficiently solvable and NP-hard problems. |
Skills |
The students are able to analyze complex tasks and can determine possibilities to transform them into networking algorithms. In particular they can efficiently implement basic algorithms and data structures of LP- and network algorithms and identify possible weaknesses. They are able to distinguish between different efficient data structures and are able to use them appropriately. |
Personal Competence | |
Social Competence |
The students have the skills to solve problems together in small groups and to present the achieved results in an appropriate manner. |
Autonomy |
The students are able to retrieve necessary informations from the given literature and to combine them with the topics of the lecture. Throughout the lecture they can check their abilities and knowledge on the basis of given exercises and test questions providing an aid to optimize their learning process. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | 30 min |
Assignment for the Following Curricula |
Computer Science: Specialisation Intelligence Engineering: Elective Compulsory Computer Science: Specialisation Computer and Software Engineering: Elective Compulsory Electrical Engineering: Specialisation Modeling and Simulation: Elective Compulsory Computational Science and Engineering: Specialisation Information and Communication Technology: Elective Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory |
Course L0120: Efficient Algorithms |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Siegfried Rump |
Language | DE |
Cycle | WiSe |
Content |
- Linear Programming - Data structures - Leftist heaps - Minimum spanning tree - Shortest path - Maximum flow - NP-hard problems via max-cut |
Literature |
R. E. Tarjan: Data Structures and Network Algorithms. CBMS 44, Society for Industrial and Applied Mathematics, Philadelphia, PA, 1983. Wesley, 2011 http://algs4.cs.princeton.edu/home/ V. Chvátal, ``Linear Programming'', Freeman, New York, 1983. |
Course L1207: Efficient Algorithms |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Siegfried Rump |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0881: Mathematical Image Processing |
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Courses | ||||||||||||
|
Module Responsible | Prof. Marko Lindner |
Admission Requirements | None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to
|
Skills |
Students are able to
|
Personal Competence | |
Social Competence |
Students are able to work together in heterogeneously composed teams (i.e., teams from different study programs and background knowledge) and to explain theoretical foundations. |
Autonomy |
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | 20 min |
Assignment for the Following Curricula |
Bioprocess Engineering: Specialisation A - General Bioprocess Engineering: Elective Compulsory Computer Science: Specialisation Intelligence Engineering: Elective Compulsory Electrical Engineering: Specialisation Modeling and Simulation: Elective Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory Mechatronics: Technical Complementary Course: Elective Compulsory Technomathematics: Specialisation I. Mathematics: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory Process Engineering: Specialisation Process Engineering: Elective Compulsory |
Course L0991: Mathematical Image Processing |
Typ | Lecture |
Hrs/wk | 3 |
CP | 4 |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Lecturer | Prof. Marko Lindner |
Language | DE/EN |
Cycle | WiSe |
Content |
|
Literature | Bredies/Lorenz: Mathematische Bildverarbeitung |
Course L0992: Mathematical Image Processing |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | Prof. Marko Lindner |
Language | DE/EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0716: Hierarchical Algorithms |
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Courses | ||||||||||||
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Module Responsible | Prof. Sabine Le Borne |
Admission Requirements | None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to
|
Skills |
Students are able to
|
Personal Competence | |
Social Competence |
Students are able to
|
Autonomy |
Students are capable
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | 20 min |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Modeling and Simulation: Elective Compulsory Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory Technomathematics: Specialisation I. Mathematics: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L0585: Hierarchical Algorithms |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Sabine Le Borne |
Language | DE/EN |
Cycle | WiSe |
Content |
|
Literature | W. Hackbusch: Hierarchische Matrizen: Algorithmen und Analysis |
Course L0586: Hierarchical Algorithms |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Sabine Le Borne |
Language | DE/EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0720: Matrix Algorithms |
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Courses | ||||||||||||
|
Module Responsible | Dr. Jens-Peter Zemke |
Admission Requirements | None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to
|
Skills |
Students are capable to
|
Personal Competence | |
Social Competence |
Students can
|
Autonomy |
Students are able to
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | 30 min |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Modeling and Simulation: Elective Compulsory Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory Technomathematics: Specialisation I. Mathematics: Elective Compulsory Technomathematics: Specialisation I. Mathematics: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory |
Course L0984: Matrix Algorithms |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Dr. Jens-Peter Zemke |
Language | DE |
Cycle | WiSe |
Content |
|
Literature | Skript |
Course L0985: Matrix Algorithms |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Dr. Jens-Peter Zemke |
Language | DE |
Cycle | WiSe |
Content | |
Literature | Siehe korrespondierende Vorlesung |
This specialization offers a wide range of topics with respect to various concepts of telecommunications, wireless and wired communication systems as well as methods of digital signal processing. Students are able to understand the characteristics of transmission channels and principles of wireless systems in detail. Moreover, they acquire a profound knowledge about fundamentals, structures and modelling of communication networks. In addition, know-how on digital speech, audio and image processing is provided. As a result, the students will have the skills to analyze, design and optimize all aspects of a communication system. In today’s information age, this expertise is of paramount importance for positions in industry and academia.
Module M0551: Pattern Recognition and Data Compression |
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Courses | ||||||||
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Module Responsible | Prof. Rolf-Rainer Grigat |
Admission Requirements | |
Recommended Previous Knowledge |
Linear algebra (including PCA, unitary transforms), stochastics and statistics, binary arithmetics |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students can name the basic concepts of pattern recognition and data compression. Students are able to discuss logical connections between the concepts covered in the course and to explain them by means of examples. |
Skills |
Students can apply statistical methods to classification problems in pattern recognition and to prediction in data compression. On a sound theoretical and methodical basis they can analyze characteristic value assignments and classifications and describe data compression and video signal coding. They are able to use highly sophisticated methods and processes of the subject area. Students are capable of assessing different solution approaches in multidimensional decision-making areas. |
Personal Competence | |
Social Competence | |
Autonomy |
Students are capable of identifying problems independently and of solving them scientifically, using the methods they have learnt. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 60 Minutes, Content of Lecture and materials in StudIP |
Assignment for the Following Curricula |
Computer Science: Specialisation Intelligence Engineering: Elective Compulsory Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Software and Signal Processing: Elective Compulsory Information and Communication Systems: Specialisation Communication Systems, Focus Signal Processing: Elective Compulsory International Management and Engineering: Specialisation II. Information Technology: Elective Compulsory International Management and Engineering: Specialisation II. Electrical Engineering: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L0128: Pattern Recognition and Data Compression |
Typ | Lecture |
Hrs/wk | 4 |
CP | 6 |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Lecturer | Prof. Rolf-Rainer Grigat |
Language | EN |
Cycle | SoSe |
Content |
Structure of a pattern recognition system, statistical decision theory, classification based on statistical models, polynomial regression, dimension reduction, multilayer perceptron regression, radial basis functions, support vector machines, unsupervised learning and clustering, algorithm-independent machine learning, mixture models and EM, adaptive basis function models and boosting, Markov random fields Information, entropy, redundancy, mutual information, Markov processes, basic coding schemes (code length, run length coding, prefix-free codes), entropy coding (Huffman, arithmetic coding), dictionary coding (LZ77/Deflate/LZMA2, LZ78/LZW), prediction, DPCM, CALIC, quantization (scalar and vector quantization), transform coding, prediction, decorrelation (DPCM, DCT, hybrid DCT, JPEG, JPEG-LS), motion estimation, subband coding, wavelets, HEVC (H.265,MPEG-H) |
Literature |
Schürmann: Pattern Classification, Wiley 1996 Salomon, Data Compression, the Complete Reference, Springer, 2000 |
Module M0637: Advanced Concepts of Wireless Communications |
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Courses | ||||||||||||
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Module Responsible | Dr. Rainer Grünheid |
Admission Requirements | None |
Recommended Previous Knowledge | |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge | |
Skills | |
Personal Competence | |
Social Competence | |
Autonomy | |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 90 minutes; scope: content of lecture and exercise |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory Computational Science and Engineering: Specialisation Information and Communication Technology: Elective Compulsory Information and Communication Systems: Specialisation Communication Systems: Elective Compulsory Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory |
Course L0297: Advanced Concepts of Wireless Communications |
Typ | Lecture |
Hrs/wk | 3 |
CP | 4 |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Lecturer | Dr. Rainer Grünheid |
Language | EN |
Cycle | SoSe |
Content |
The lecture deals with technical principles and related concepts of mobile communications. In this context, the main focus is put on the physical and data link layer of the ISO-OSI stack. In the lecture, the transmission medium, i.e., the mobile radio channel, serves as the starting point of all considerations. The characteristics and the mathematical descriptions of the radio channel are discussed in detail. Subsequently, various physical layer aspects of wireless transmission are covered, such as channel coding, modulation/demodulation, channel estimation, synchronization, and equalization. Moreover, the different uses of multiple antennas at the transmitter and receiver, known as MIMO techniques, are described. Besides these physical layer topics, concepts of multiple access schemes in a cellular network are outlined. In order to illustrate the above-mentioned technical solutions, the lecture will also provide a system view, highlighting the basics of some contemporary wireless systems, including UMTS/HSPA, LTE, LTE Advanced, and WiMAX. |
Literature |
John G. Proakis, Masoud Salehi: Digital Communications. 5th Edition, Irwin/McGraw Hill, 2007 David Tse, Pramod Viswanath: Fundamentals of Wireless Communication. Cambridge, 2005 Bernard Sklar: Digital Communications: Fundamentals and Applications. 2nd Edition, Pearson, 2013 Stefani Sesia, Issam Toufik, Matthew Baker: LTE - The UMTS Long Term Evolution. Second Edition, Wiley, 2011 |
Course L0298: Advanced Concepts of Wireless Communications |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | Dr. Rainer Grünheid |
Language | EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0837: Communication Networks II - Simulation and Modeling |
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Courses | ||||||||
|
Module Responsible | Prof. Andreas Timm-Giel |
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 explain the necessary stochastics, the discrete event simulation technology and modelling of networks for performance evaluation. |
Skills |
Students are able to apply the method of simulation for performance evaluation to different, also not practiced, problems of communication networks. The students can analyse the obtained results and explain the effects observed in the network. They are able to question their own results. |
Personal Competence | |
Social Competence |
Students are able to acquire expert knowledge in groups, present the results, and discuss solution approaches and results. They are able to work out solutions for new problems in small teams. |
Autonomy |
Students are able to transfer independently and in discussion with others the acquired method and expert knowledge to new problems. They can identify missing knowledge and acquire this knowledge independently. |
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Credit points | 6 |
Examination | Colloquium |
Examination duration and scale | 45-60 minutes colloquium with two students, therefore about 30 minutes per student. |
Assignment for the Following Curricula |
Computer Science: Specialisation Computer and Software Engineering: Elective Compulsory Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory Computational Science and Engineering: Specialisation Information and Communication Technology: Elective Compulsory Information and Communication Systems: Specialisation Communication Systems: Elective Compulsory Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Networks: Elective Compulsory |
Course L0887: Simulation and Modelling of Communication Networks |
Typ | Problem-based Learning |
Hrs/wk | 5 |
CP | 6 |
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Lecturer | Prof. Andreas Timm-Giel |
Language | EN |
Cycle | SoSe |
Content |
In the course necessary basic stochastics and the discrete event simulation are introduced. Also simulation models for communication networks, for example, traffic models, mobility models and radio channel models are presented in the lecture. Students work with a simulation tool, where they can directly try out the acquired skills, algorithms and models. At the end of the course increasingly complex networks and protocols are considered and their performance is determined by simulation. |
Literature |
Further literature is announced at the beginning of the lecture. |
Module M1318: Wireless Sensor Networks |
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Courses | ||||||||||||||||
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Module Responsible | Prof. Bernd-Christian Renner |
Admission Requirements | None |
Recommended Previous Knowledge | |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge | |
Skills | |
Personal Competence | |
Social Competence | |
Autonomy | |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | 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 Computer and Software Engineering: Elective Compulsory Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory Computational Science and Engineering: Specialisation Information and Communication Technology: Elective Compulsory |
Course L1819: Selected Topics of Wireless Sensor Networks |
Typ | Problem-based Learning |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | Prof. Bernd-Christian Renner |
Language | EN |
Cycle | SoSe |
Content |
Selected topics on sensor network research will be researched in a PBL course by the students in groups and will be presented in a poster session at the end of the term. Topics are:
|
Literature |
Will be provided individually |
Course L1815: Wireless Sensor Networks |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Bernd-Christian Renner |
Language | EN |
Cycle | SoSe |
Content | |
Literature |
Course L1816: Wireless Sensor Networks |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | Prof. Bernd-Christian Renner |
Language | EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0673: Information Theory and Coding |
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Courses | ||||||||||||
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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 the basic definitions for quantification of information in the sense of information theory. They know Shannon's source coding theorem and channel coding theorem and are able to determine theoretical limits of data compression and error-free data transmission over noisy channels. They understand the principles of source coding as well as error-detecting and error-correcting channel coding. They are familiar with the principles of decoding, in particular with modern methods of iterative decoding. They know fundamental coding schemes, their properties and decoding algorithms. |
Skills | The students are able to determine the limits of data compression as well as of data transmission through noisy channels and based on those limits to design basic parameters of a transmission scheme. They can estimate the parameters of an error-detecting or error-correcting channel coding scheme for achieving certain performance targets. They are able to compare the properties of basic channel coding and decoding schemes regarding error correction capabilities, decoding delay, decoding complexity and to decide for a suitable method. They are capable of implementing basic coding and decoding schemes in software. |
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 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 90 min |
Assignment for the Following Curricula |
Computer Science: Specialisation Computer and Software Engineering: Elective Compulsory Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory Computational Science and Engineering: Specialisation Information and Communication Technology: Elective Compulsory Information and Communication Systems: Core qualification: Compulsory International Management and Engineering: Specialisation II. Electrical Engineering: Elective Compulsory Mechatronics: Technical Complementary Course: Elective Compulsory |
Course L0436: Information Theory and Coding |
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 |
Bossert, M.: Kanalcodierung. Oldenbourg. Friedrichs, B.: Kanalcodierung. Springer. Lin, S., Costello, D.: Error Control Coding. Prentice Hall. Roth, R.: Introduction to Coding Theory. Johnson, S.: Iterative Error Correction. Cambridge. Richardson, T., Urbanke, R.: Modern Coding Theory. Cambridge University Press. Gallager, R. G.: Information theory and reliable communication. Whiley-VCH Cover, T., Thomas, J.: Elements of information theory. Wiley. |
Course L0438: Information Theory and Coding |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | Prof. Gerhard Bauch |
Language | DE/EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0678: Seminar Communications Engineering |
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Courses | ||||||||
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Module Responsible | Prof. Gerhard Bauch |
Admission Requirements | None |
Recommended Previous Knowledge |
One or more of the following moduls:
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge | The students prepare on their own a special topic from communications engineering or digital signal processing. |
Skills | The students are able to prepare on their own a special topic from communications engineering or digital signal processing and present it in a seminar talk. They are able to discuss about the topic in a wider context. Furthermore, they are able to contribute to the discussion of other presentations during the seminar. |
Personal Competence | |
Social Competence | The students are able to discuss within the semnar group. |
Autonomy | |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Credit points | 2 |
Examination | Presentation |
Examination duration and scale | 30 minutes presentation, related material, active discussion |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory Microelectronics and Microsystems: Core qualification: Elective Compulsory |
Course L0448: Seminar Communications Engineering |
Typ | Seminar |
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 |
WiSe/ |
Content | changing topics |
Literature | je nach Thema |
Module M1248: Compilers for Embedded Systems |
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Courses | ||||||||||||
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Module Responsible | Prof. Heiko Falk |
Admission Requirements | None |
Recommended Previous Knowledge |
Module "Embedded Systems" C/C++ Programming skills |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The relevance of embedded systems increases from year to year. Within such systems, the amount of software to be executed on embedded processors grows continuously due to its lower costs and higher flexibility. Because of the particular application areas of embedded systems, highly optimized and application-specific processors are deployed. Such highly specialized processors impose high demands on compilers which have to generate code of highest quality. After the successful attendance of this course, the students are able
The high demands on compilers for embedded systems make effective code optimizations mandatory. The students learn in particular,
Since compilers for embedded systems often have to optimize for multiple objectives (e.g., average- or worst-case execution time, energy dissipation, code size), the students learn to evaluate the influence of optimizations on these different criteria. |
Skills |
After successful completion of the course, students shall be able to translate high-level program code into machine code. They will be enabled to assess which kind of code optimization should be applied most effectively at which abstraction level (e.g., source or assembly code) within a compiler. While attending the labs, the students will learn to implement a fully functional compiler including optimizations. |
Personal Competence | |
Social Competence |
Students are able to solve similar problems alone or in a group and to present the results accordingly. |
Autonomy |
Students are able to acquire new knowledge from specific literature and to associate this knowledge with other classes. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | 30 minutes, contents of course |
Assignment for the Following Curricula |
Computer Science: Specialisation Computer and Software Engineering: Elective Compulsory Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory Computational Science and Engineering: Specialisation Information and Communication Technology: Elective Compulsory |
Course L1692: Compilers for Embedded Systems |
Typ | Lecture |
Hrs/wk | 3 |
CP | 4 |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Lecturer | Prof. Heiko Falk |
Language | DE/EN |
Cycle | SoSe |
Content |
|
Literature |
|
Course L1693: Compilers for Embedded Systems |
Typ | Laboratory |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | Prof. Heiko Falk |
Language | DE/EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0550: Digital Image Analysis |
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Courses | ||||||||
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Module Responsible | Prof. Rolf-Rainer Grigat |
Admission Requirements | None |
Recommended Previous Knowledge |
System theory of one-dimensional signals (convolution and correlation, sampling theory, interpolation and decimation, Fourier transform, linear time-invariant systems), linear algebra (Eigenvalue decomposition, SVD), basic stochastics and statistics (expectation values, influence of sample size, correlation and covariance, normal distribution and its parameters), basics of Matlab, basics in optics |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students can
|
Skills |
Students are able to
Students can solve simple arithmetical problems relating to the specification and design of image processing and image analysis systems. Students are able to assess different solution approaches in multidimensional decision-making areas. Students can undertake a prototypical analysis of processes in Matlab. |
Personal Competence | |
Social Competence |
k.A. |
Autonomy |
Students can solve image analysis tasks independently using the relevant literature. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 60 Minutes, Content of Lecture and materials in StudIP |
Assignment for the Following Curricula |
Computer Science: Specialisation Intelligence Engineering: Elective Compulsory Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory Electrical Engineering: Specialisation Medical Technology: Elective Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory Information and Communication Systems: Specialisation Communication Systems, Focus Signal Processing: Elective Compulsory Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Software and Signal Processing: Elective Compulsory International Management and Engineering: Specialisation II. Information Technology: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory |
Course L0126: Digital Image Analysis |
Typ | Lecture |
Hrs/wk | 4 |
CP | 6 |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Lecturer | Prof. Rolf-Rainer Grigat |
Language | EN |
Cycle | WiSe |
Content |
|
Literature |
Bredies/Lorenz, Mathematische Bildverarbeitung, Vieweg, 2011 |
Module M0796: Research Project in Information and Communication Systems |
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Courses | ||||
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Module Responsible | Dozenten des SD E |
Admission Requirements | None |
Recommended Previous Knowledge |
Advanced state of knowledge in the electrical engineering master program |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students know current research topics oft institutes engaged in their specialization. They can name the fundamental scientific methods used for doing related reserach. |
Skills |
Students are capable of completing a small, independent sub-project of currently ongoing research projects in the institutes engaged in their specialization. Students can justify and explain their approach for problem solving, they can draw conclusions from their results, and then can find new ways and methods for their work. Students are capable of comparing and assessing alterantive approaches with their own with regard to given criteria. |
Personal Competence | |
Social Competence |
Students are able to discuss their work progress with research assistants of the supervising institute . They are capable of presenting their results in front of a professional audience. |
Autonomy |
Based on their competences gained so far students are capable of defining meaningful tasks within ongoing research project for themselves. They are able to develop the necessary understanding and problem solving methods. |
Workload in Hours | Independent Study Time 180, Study Time in Lecture 0 |
Credit points | 6 |
Examination | Project (accord. to Subject Specific Regulations) |
Examination duration and scale | |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory |
Module M0638: Modern Wireless Systems |
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Courses | ||||||||
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Module Responsible | Dr. Rainer Grünheid |
Admission Requirements | None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge | Students have an overview of a variety of contemporary wireless systems of different size and complexity. They understand the technical solutions from the perspective of the physical and data link layer. They have developed a system view and are aware of the technical arguments, considering the respective applications and associated constraints. For several examples (e.g., Long Term Evolution, LTE), students are able to explain different concepts in a very deep technical detail. |
Skills | Students have developed a system view. They can transfer their knowledge to evaluate other systems, not discussed in the lecture, and to understand the respective technical solutions. Given specific contraints and technical requirements, students are in a position to make proposals for certain design aspects by an appropriate assessment and the consideration of alternatives. |
Personal Competence | |
Social Competence |
Students can jointly elaborate tasks in small groups and present their results in an adequate fashion. |
Autonomy |
Students are able to extract necessary information from given literature
sources and put it into the perspective of the lecture. They can
continuously check their level of expertise with the help of
accompanying measures (such as online tests, clicker questions, exercise
tasks) and, based on that, to steer their learning process accordingly.
They can relate their acquired knowledge to topics of other lectures,
e.g., "Digital Communications" and "Advanced Topics of Wireless Communications". |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Credit points | 3 |
Examination | Oral exam |
Examination duration and scale | 40 min |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory |
Course L0296: Modern Wireless Systems |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Dr. Rainer Grünheid |
Language | EN |
Cycle | WiSe |
Content |
The lecture gives an overview of contemporary wireless communication concepts and related techniques from a system point of view. For that purpose, different systems, ranging from Wireless Personal to Wide Area Networks, are covered, mainly discussing the physical and data link layer. |
Literature |
John G. Proakis, Masoud Salehi: Digital Communications. 5th Edition, Irwin/McGraw Hill, 2007 Stefani Sesia, Issam Toufik, Matthew Baker: LTE - The UMTS Long Term Evolution. Second Edition, Wiley, 2011 Jeffrey G. Andrews, Arunabha Ghosh, Rias Muhamed: Fundamentals of WiMAX. Prentice Hall, 2007 |
Module M0836: Communication Networks I - Analysis and Structure |
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Courses | ||||||||||||||||
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Module Responsible | Prof. Andreas Timm-Giel |
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 describe the principles and structures of communication networks in detail. They can explain the formal description methods of communication networks and their protocols. They are able to explain how current and complex communication networks work and describe the current research in these examples. |
Skills |
Students are able to evaluate the performance of communication networks using the learned methods. They are able to work out problems themselves and apply the learned methods. They can apply what they have learned autonomously on further and new communication networks. |
Personal Competence | |
Social Competence |
Students are able to define tasks themselves in small teams and solve these problems together using the learned methods. They can present the obtained results. They are able to discuss and critically analyse the solutions. |
Autonomy |
Students are able to obtain the necessary expert knowledge for understanding the functionality and performance capabilities of new communication networks independently. |
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Credit points | 6 |
Examination | Colloquium |
Examination duration and scale | 1.5 hours colloquium with three students, therefore about 30 min per student. Topics of the colloquium are the posters from the previous poster session and the topics of the module. |
Assignment for the Following Curricula |
Computer Science: Specialisation Computer and Software Engineering: Elective Compulsory Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory Computational Science and Engineering: Specialisation Information and Communication Technology: Elective Compulsory Information and Communication Systems: Specialisation Communication Systems: Elective Compulsory Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Networks: Elective Compulsory Mechatronics: Technical Complementary Course: Elective Compulsory Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory |
Course L0897: Analysis and Structure of Communication Networks |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Andreas Timm-Giel |
Language | EN |
Cycle | WiSe |
Content | |
Literature |
Further literature is announced at the beginning of the lecture. |
Course L0899: Selected Topics of Communication Networks |
Typ | Problem-based Learning |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Dr. Maciej Mühleisen |
Language | EN |
Cycle | WiSe |
Content | Example networks selected by the students will be researched on in a PBL course by the students in groups and will be presented in a poster session at the end of the term. |
Literature |
|
Course L0898: Communication Networks Excercise |
Typ | Problem-based Learning |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | Dr. Maciej Mühleisen |
Language | EN |
Cycle | WiSe |
Content | Part of the content of the lecture Communication Networks are reflected in computing tasks in groups, others are motivated and addressed in the form of a PBL exercise. |
Literature |
|
Module M0677: Digital Signal Processing and Digital Filters |
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Courses | ||||||||||||
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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 basic algorithms of digital signal processing. They are familiar with the spectral transforms of discrete-time signals and are able to describe and analyse signals and systems in time and image domain. They know basic structures of digital filters and can identify and assess important properties including stability. They are aware of the effects caused by quantization of filter coefficients and signals. They are familiar with the basics of adaptive filters. They can perform traditional and parametric methods of spectrum estimation, also taking a limited observation window into account. |
Skills | The students are able to apply methods of digital signal processing to new problems. They can choose and parameterize suitable filter striuctures. In particular, the can design adaptive filters according to the minimum mean squared error (MMSE) criterion and develop an efficient implementation, e.g. based on the LMS or RLS algorithm. Furthermore, the students are able to apply methods of spectrum estimation and to take the effects of a limited observation window into account. |
Personal Competence | |
Social Competence |
The students can jointly solve specific problems. |
Autonomy |
The students are able to acquire relevant information from appropriate literature sources. They can control their level of knowledge during the lecture period by solving tutorial problems, software tools, clicker system. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 90 min |
Assignment for the Following Curricula |
Computer Science: Specialisation Intelligence Engineering: Elective Compulsory Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory Information and Communication Systems: Specialisation Communication Systems, Focus Signal Processing: Elective Compulsory Mechanical Engineering and Management: Specialisation Mechatronics: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory Microelectronics and Microsystems: Specialisation Microelectronics Complements: Elective Compulsory |
Course L0446: Digital Signal Processing and Digital Filters |
Typ | Lecture |
Hrs/wk | 3 |
CP | 4 |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Lecturer | Prof. Gerhard Bauch |
Language | EN |
Cycle | WiSe |
Content |
|
Literature |
K.-D. Kammeyer, K. Kroschel: Digitale Signalverarbeitung. Vieweg Teubner. V. Oppenheim, R. W. Schafer, J. R. Buck: Zeitdiskrete Signalverarbeitung. Pearson StudiumA. V. W. Hess: Digitale Filter. Teubner. Oppenheim, R. W. Schafer: Digital signal processing. Prentice Hall. S. Haykin: Adaptive flter theory. L. B. Jackson: Digital filters and signal processing. Kluwer. T.W. Parks, C.S. Burrus: Digital filter design. Wiley. |
Course L0447: Digital Signal Processing and Digital Filters |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | Prof. Gerhard Bauch |
Language | EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0839: Traffic Engineering |
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Courses | ||||||||||||||||
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Module Responsible | Prof. Andreas Timm-Giel |
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 describe methods for planning, optimisation and performance evaluation of communication networks. |
Skills |
Students are able to solve typical planning and optimisation tasks for communication networks. Furthermore they are able to evaluate the network performance using queuing theory. Students are able to apply independently what they have learned to other and new problems. They can present their results in front of experts and discuss them. |
Personal Competence | |
Social Competence | |
Autonomy |
Students are able to acquire the necessary expert knowledge to understand the functionality and performance of new communication networks independently. |
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | 30 min |
Assignment for the Following Curricula |
Computer Science: Specialisation Computer and Software Engineering: Elective Compulsory Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory Computational Science and Engineering: Specialisation Information and Communication Technology: Elective Compulsory Information and Communication Systems: Specialisation Communication Systems: Elective Compulsory Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Networks: Elective Compulsory |
Course L0902: Seminar Traffic Engineering |
Typ | Seminar |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Andreas Timm-Giel |
Language | EN |
Cycle | WiSe |
Content | Selected applications of methods for planning, optimization, and performance evaluation of communication networks, which have been introduced in the traffic engineering lecture are prepared by the students and presented in a seminar. |
Literature |
|
Course L0900: Traffic Engineering |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Andreas Timm-Giel |
Language | EN |
Cycle | WiSe |
Content |
Network Planning and Optimization |
Literature |
Literatur: |
Course L0901: Traffic Engineering Exercises |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | Prof. Andreas Timm-Giel |
Language | EN |
Cycle | WiSe |
Content |
Accompanying exercise for the traffic engineering course |
Literature |
Literatur: |
Module M0738: Digital Audio Signal Processing |
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Courses | ||||||||||||
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Module Responsible | Prof. Udo Zölzer |
Admission Requirements | None |
Recommended Previous Knowledge |
Signals and Systems |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Die Studierenden können die grundlegenden Verfahren und Methoden der digitalen Audiosignalverarbeitung erklären. Sie können die wesentlichen physikalischen Effekte bei der Sprach- und Audiosignalverarbeitung erläutern und in Kategorien einordnen. Sie können einen Überblick der numerischen Methoden und messtechnischen Charakterisierung von Algorithmen zur Audiosignalverarbeitung geben. Sie können die erarbeiteten Algorithmen auf weitere Anwendungen im Bereich der Informationstechnik und Informatik abstrahieren. |
Skills |
The students will be able to apply methods and techniques from audio signal processing in the fields of mobile and internet communication. They can rely on elementary algorithms of audio signal processing in form of Matlab code and interactive JAVA applets. They can study parameter modifications and evaluate the influence on human perception and technical applications in a variety of applications beyond audio signal processing. Students can perform measurements in time and frequency domain in order to give objective and subjective quality measures with respect to the methods and applications. |
Personal Competence | |
Social Competence |
The students can work in small groups to study special tasks and problems and will be enforced to present their results with adequate methods during the exercise. |
Autonomy |
The students will be able to retrieve information out of the relevant literature in the field and putt hem into the context of the lecture. They can relate their gathered knowledge and relate them to other lectures (signals and systems, digital communication systems, image and video processing, and pattern recognition). They will be prepared to understand and communicate problems and effects in the field audio signal processing. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 45 min |
Assignment for the Following Curricula |
Computer Science: Specialisation Intelligence Engineering: Elective Compulsory Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Software and Signal Processing: Elective Compulsory Information and Communication Systems: Specialisation Communication Systems, Focus Signal Processing: Elective Compulsory Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory |
Course L0650: Digital Audio Signal Processing |
Typ | Lecture |
Hrs/wk | 3 |
CP | 4 |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Lecturer | Prof. Udo Zölzer |
Language | EN |
Cycle | WiSe |
Content |
|
Literature |
- U. Zölzer, Digitale Audiosignalverarbeitung, 3. Aufl., B.G. Teubner, 2005. - U. Zölzer, Digitale Audio Signal Processing, 2nd Edition, J. Wiley & Sons, 2005. - U. Zölzer (Ed), Digital Audio Effects, 2nd Edition, J. Wiley & Sons, 2011.
|
Course L0651: Digital Audio Signal Processing |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | Prof. Udo Zölzer |
Language | EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
The students of this specialization are introduced into the design of CMOS integrated circuits and the most important manufacturing steps. They gain knowledge and competences regarding the software tools for simulation and of their structure by performing classroom projects. A solid awareness of possible reliability problems and how to prevent them belongs to the acquired competences. Furthermore, the students get competences in the field of microsystem technology and in the usage of software tools for the design of those microsystems. The students acquire the necessary knowledge to develop as well as challenging integrated circuits and microsystems and to combine both to innovative units.
Module M0578: Integrated Circuits |
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Courses | ||||||||
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Module Responsible | Dr. Dietmar Schröder |
Admission Requirements | |
Recommended Previous Knowledge |
Circuit Design, Computer Engineering, Signals and Systems |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students can explicate the basic relationships of price and performance of integrated circuits using suitable figures of merit. They can explain the interrelationships of global and local manufacturing tolerances, matching, and mismatch. They are able to describe a hierarchical system and how such systems - integrated circuits in particular - are designed. Students can specify the components of project management und explain the purposes of these. |
Skills | Students can compute the expected mismatch of two equally designed integrated devices. They can calculate the noise spectra of voltages and currents in electronic networks. They are able to design hierarchical electronic circuits and to verify these by simulation. They can participate meaningfully in a systematically planned and executed project and provide own contributions to achieving the project goals. |
Personal Competence | |
Social Competence | Students can cooperate meaningfully and purposefully with other members in a project team. They respect project structures and schedules as well as other rules in the project. They are able to document and present their own work comprehensibly for others. In discussions, they can respectfully pass and constructively accept criticism. |
Autonomy | Students are able to acquire necessary informations from sources provided und to put them into context with the task at hand. They can autonomously familiarize themselves with the details of the design software and systematically troubleshoot their circuits. |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Credit points | 3 |
Examination | Oral exam |
Examination duration and scale | 30 minutes individual oral exam |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory |
Course L0207: Integrated Circuits |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Dr. Dietmar Schröder |
Language | DE |
Cycle | SoSe |
Content |
|
Literature |
R.J. Baker, CMOS: circuit, design, layout and simulation. IEEE Press, 2010. F. Daenzer (Ed.)., Systems Engineering. Verlag Industrielle Organisation, 1986. M. Burghardt, Projektmanagement. Siemens, 1993. |
Module M0643: Optoelectronics I - Wave Optics |
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Courses | ||||||||||||
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Module Responsible | Prof. Manfred Eich |
Admission Requirements |
Keine |
Recommended Previous Knowledge |
Basics in electrodynamics, calculus |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students can explain the fundamental mathematical and physical relations of freely propagating optical waves. |
Skills |
Students can generate models and derive mathematical descriptions in relation to free optical wave propagation. |
Personal Competence | |
Social Competence |
Students can jointly solve subject related problems in groups. They can present their results effectively within the framework of the problem solving course. |
Autonomy |
Students are capable to extract relevant information from the provided references and to relate this information to the content of the lecture. They can reflect their acquired level of expertise with the help of lecture accompanying measures such as exam typical exam questions. Students are able to connect their knowledge with that acquired from other lectures. |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Credit points | 4 |
Examination | Written exam |
Examination duration and scale | 40 minutes |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory Electrical Engineering: Specialisation Microwave Engineering, Optics, and Electromagnetic Compatibility: Elective Compulsory Materials Science: Specialisation Nano and Hybrid Materials: Elective Compulsory Microelectronics and Microsystems: Specialisation Microelectronics Complements: Elective Compulsory |
Course L0359: Optoelectronics I: Wave Optics |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Manfred Eich |
Language | EN |
Cycle | SoSe |
Content |
|
Literature |
Bahaa E. A. Saleh, Malvin Carl Teich, Fundamentals of Photonics, Wiley 2007 |
Course L0361: Optoelectronics I: Wave Optics (Problem Solving Course) |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Manfred Eich |
Language | EN |
Cycle | SoSe |
Content | see lecture Optoelectronics 1 - Wave Optics |
Literature |
see lecture Optoelectronics 1 - Wave Optics |
Module M0925: Design of Highly Complex Integrated Systems and CAD Tools |
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Courses | ||||||||||||
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Module Responsible | Prof. Volkhard Klinger |
Admission Requirements | |
Recommended Previous Knowledge | |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge | |
Skills | |
Personal Competence | |
Social Competence | |
Autonomy | |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | 40 min |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory Microelectronics and Microsystems: Specialisation Microelectronics Complements: Elective Compulsory |
Course L0698: CAD Tools |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Volkhard Klinger |
Language | EN |
Cycle | WiSe |
Content | |
Literature |
Course L0699: Design of Highly Complex Integrated Systems |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Volkhard Klinger |
Language | EN |
Cycle | SoSe |
Content | |
Literature |
Module M0747: Microsystem Design |
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Courses | ||||||||||||
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Module Responsible | Prof. Manfred Kasper |
Admission Requirements | |
Recommended Previous Knowledge |
Mathematical Calculus, Linear Algebra, Microsystem Engineering |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students know about the most important and most common simulation and design methods used in microsystem design. The scientific background of finite element methods and the basic theory of these methods are known. |
Skills |
Students are able to apply simulation methods and commercial simulators in a goal oriented approach to complex design tasks. Students know to apply the theory in order achieve estimates of expected accuracy and can judge and verify the correctness of results. Students are able to develop a design approach even if only incomplete information about material data or constraints are available. Student can make use of approximate and reduced order models in a preliminary design stage or a system simulation. |
Personal Competence | |
Social Competence |
Students are able to solve specific problems alone or in a group and to present the results accordingly. Students can develop and explain their solution approach and subdivide the design task to subproblems which are solved separately by group members. |
Autonomy |
Students are able to acquire particular knowledge using specialized literature and to integrate and associate this knowledge with other fields. |
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | halbstündig |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory Electrical Engineering: Specialisation Modeling and Simulation: Elective Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory Microelectronics and Microsystems: Core qualification: Elective Compulsory |
Course L0683: Microsystem Design |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Manfred Kasper |
Language | EN |
Cycle | SoSe |
Content |
Finite difference methods Approximation error Finite element method Order of convergence Error estimation, mesh refinement Makromodeling Reduced order modeling Black-box models System identification Multi-physics systems System simulation Levels of simulation, network simulation Transient problems Non-linear problems Introduction to Comsol Application to thermal, electric, electromagnetic, mechanical and fluidic problems |
Literature |
M. Kasper: Mikrosystementwurf, Springer (2000) S. Senturia: Microsystem Design, Kluwer (2001) |
Course L0684: Microsystem Design |
Typ | Laboratory Course |
Hrs/wk | 3 |
CP | 3 |
Workload in Hours | Independent Study Time 48, Study Time in Lecture 42 |
Lecturer | Prof. Manfred Kasper |
Language | EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0761: Semiconductor Technology |
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Courses | ||||||||||||
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Module Responsible | Prof. Hoc Khiem Trieu |
Admission Requirements |
None |
Recommended Previous Knowledge |
Basics in physics, chemistry, material science and semiconductor devices |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able • to describe and to explain current fabrication techniques for Si and GaAs substrates, • to discuss in details the relevant fabrication processes, process flows and the impact thereof on the fabrication of semiconductor devices and integrated circuits and • to present integrated process flows. |
Skills |
Students are capable • to analyze the impact of process parameters on the processing results, • to select and to evaluate processes and • to develop process flows for the fabrication of semiconductor devices. |
Personal Competence | |
Social Competence |
Students are able to prepare and perform their lab experiments in team work as well as to present and discuss the results in front of audience. |
Autonomy | None |
Workload in Hours | Independent Study Time 126, Study Time in Lecture 84 |
Credit points | 7 |
Examination | Oral exam |
Examination duration and scale | 30 min |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: 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 |
Course L0722: Semiconductor Technology |
Typ | Lecture |
Hrs/wk | 4 |
CP | 5 |
Workload in Hours | Independent Study Time 94, Study Time in Lecture 56 |
Lecturer | Prof. Hoc Khiem Trieu |
Language | DE/EN |
Cycle | SoSe |
Content |
|
Literature |
S.K. Ghandi: VLSI Fabrication principles – Silicon and Gallium Arsenide, John Wiley & Sons S.M. Sze: Semiconductor Devices – Physics and Technology, John Wiley & Sons U. Hilleringmann: Silizium-Halbleitertechnologie, Teubner Verlag H. Beneking: Halbleitertechnologie – Eine Einführung in die Prozeßtechnik von Silizium und III-V-Verbindungen, Teubner Verlag K. Schade: Mikroelektroniktechnologie, Verlag Technik Berlin S. Campbell: The Science and Engineering of Microelectronic Fabrication, Oxford University Press P. van Zant: Microchip Fabrication – A Practical Guide to Semiconductor Processing, McGraw-Hill |
Course L0723: Semiconductor Technology |
Typ | Laboratory Course |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Hoc Khiem Trieu |
Language | DE/EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0800: Numerical Methods for Electromagnetic Field Computation |
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Courses | ||||||||||||
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Module Responsible | Dr. Heinz-Dietrich Brüns |
Admission Requirements |
None |
Recommended Previous Knowledge | Basic principles of electromagnetic field theory |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Numerical methods in numerical field computation are of increasing importance in electrical engineering, for example in the are of antenna development or for analyzing electromagnetic compatibility problems (EMC). The underlying principles of the major techniques that are currently applied in practice are explained. It turns out that each method has its strengths and weaknesses in relation to specific applications. The students shall be enabled to evaluate which kind of method could be advantageous for a certain case and if an application concerning a certain problem area is manageable at all. |
Skills |
The students will be able to set up discretized models based on the working principle of the chosen numerical method. This is carried out regarding the electrical size and considering the geometrical complexity. The students know the interrelationship between the number of grid elements (surface patches, cells), the necessary memory resulting form this and the computation time. They are aware of the requirements of the method under consideration to achieve convergent results and they learn to validate these results using various techniques. The students are able to distinguish between methods that are used in the time domain, in the frequency domain and in the range of electrostatics. Furthermore the students know the advantages, possibilities and constraints of surface and volume based techniques. |
Personal Competence | |
Social Competence |
In practical exercises small groups of students can apply the program system CONCEPT-II, which is based on one of the most important techniques, the so-called method of moments. The program is under continuous development at the Institute of Electromagnetic Theory. |
Autonomy |
The students are able to generally apply their new knowledge in electromagnetics and to associate it with other courses. On the basis of the introduction given in the lecture they are capable to easily learn more about a technique from the given literature. |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Credit points | 4 |
Examination | Oral exam |
Examination duration and scale | 30 Minutes |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory Electrical Engineering: Specialisation Microwave Engineering, Optics, and Electromagnetic Compatibility: Elective Compulsory Electrical Engineering: Specialisation Modeling and Simulation: Elective Compulsory |
Course L0802: Numerical Methods for Electromagnetic Field Computation |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Dr. Heinz-Dietrich Brüns |
Language | DE/EN |
Cycle | SoSe |
Content |
-Short and in details more comprehensive repetition of relevant fields of electromagnetic theory |
Literature |
Allen Tavlove, Susan C. Hagness: Computational Electrodynamics: The Finite-Difference |
Course L0803: Numerical Methods for Electromagnetic Field Computation |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Dr. Heinz-Dietrich Brüns |
Language | DE/EN |
Cycle | SoSe |
Content |
-Short and in details more comprehensive repetition of relevant fields of electromagnetic theory |
Literature |
Allen Tavlove, Susan C. Hagness: Computational Electrodynamics: The Finite-Difference |
Module M0919: Laboratory: Analog and Digital Circuit Design |
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Courses | ||||||||||||
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Module Responsible | Prof. Wolfgang Krautschneider |
Admission Requirements | None |
Recommended Previous Knowledge | Basic knowledge of semiconductor devices and circuit design |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
|
Skills |
|
Personal Competence | |
Social Competence |
|
Autonomy |
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 60 min |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory Computational Science and Engineering: Specialisation Information and Communication Technology: Elective Compulsory Mechatronics: Specialisation System Design: Elective Compulsory Microelectronics and Microsystems: Core qualification: Elective Compulsory |
Course L0692: Laboratory: Analog Circuit Design |
Typ | Laboratory Course |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Wolfgang Krautschneider |
Language | DE |
Cycle | WiSe |
Content |
|
Literature | Handouts to be distributed |
Course L0694: Laboratory: Digital Circuit Design |
Typ | Laboratory Course |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Wolfgang Krautschneider |
Language | DE |
Cycle | SoSe |
Content |
|
Literature | Handouts will be distributed |
Module M0918: Fundamentals of IC Design |
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Courses | ||||||||||||
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Module Responsible | Prof. Wolfgang Krautschneider |
Admission Requirements | None |
Recommended Previous Knowledge | Fundamentals of electrical engineering, electronic devices and circuits |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
|
Skills |
|
Personal Competence | |
Social Competence |
|
Autonomy |
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | 40 min |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory International Management and Engineering: Specialisation II. Electrical Engineering: Elective Compulsory Microelectronics and Microsystems: Core qualification: Elective Compulsory |
Course L0766: Fundamentals of IC Design |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Wolfgang Krautschneider |
Language | DE/EN |
Cycle | SoSe |
Content |
|
Literature |
R. J. Baker, „CMOS-Circuit Design, Layout, and Simulation“, Wiley & Sons, IEEE Press, 2010 X. Liu, VLSI-Design Methodology Demystified; IEEE, 2009N. Van Helleputte, J. M. Tomasik, W. Galjan, A. Mora-Sanchez, D. Schroeder, W. H. Krautschneider, R. Puers, A flexible system-on-chip (SoC) for biomedical signal acquisition and processing, Sensors and Actuators A: Physical, vol. 142, p. 361-368, 2008. |
Course L1057: Fundamentals of IC Design |
Typ | Laboratory Course |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Wolfgang Krautschneider |
Language | DE/EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0930: Semiconductor Seminar |
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Courses | ||||||||
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Module Responsible | Dr. Dietmar Schröder |
Admission Requirements | |
Recommended Previous Knowledge |
Bachelor of Science Semiconductors |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge | Students can explain the most important facts and relationships of a specific topic from the field of semiconductors. |
Skills |
Students are able to compile a specified topic from the field of semiconductors and to give a clear, structured and comprehensible presentation of the subject. They can comply with a given duration of the presentation. They can write in English a summary including illustrations that contains the most important results, relationships and explanations of the subject. |
Personal Competence | |
Social Competence |
Students are able to adapt their presentation with respect to content, detailedness, and presentation style to the composition and previous knowledge of the audience. They can answer questions from the audience in a curt and precise manner. |
Autonomy | Students are able to autonomously carry out a literature research concerning a given topic. They can independently evaluate the material. They can self-reliantly decide which parts of the material should be included in the presentation. |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Credit points | 2 |
Examination | Presentation |
Examination duration and scale | 15 minutesw presentation + 5-10 minutes discussion + 2 pages written abstract |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory Materials Science: Specialisation Nano and Hybrid Materials: Elective Compulsory Microelectronics and Microsystems: Core qualification: Elective Compulsory |
Course L0760: Semiconductor Seminar |
Typ | Seminar |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Dr. Dietmar Schröder, Prof. Manfred Kasper, Prof. Wolfgang Krautschneider, Prof. Manfred Eich, Prof. Hoc Khiem Trieu |
Language | EN |
Cycle | SoSe |
Content |
Prepare, present, and discuss talks about recent topics from the field of semiconductors. The presentations must be given in English. Evaluation Criteria:
Handout: |
Literature |
Aktuelle Veröffentlichungen zu dem gewählten Thema |
Module M0935: Microcontroller Circuits: Implementation in Hardware and Software |
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Courses | ||||||||
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Module Responsible | Prof. Siegfried Rump |
Admission Requirements | none. |
Recommended Previous Knowledge | lecture: Computer Architectures |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students can describe parts and operation of a common family of microcontrollers. They know details about operations of CPUs, and they can transfer algorithms to machine code. |
Skills |
The students can design and use electronic circuits (digital with some analogue parts). Furthermore they are able to implement solutions of some tasks by way of assembler programming on these circuits. |
Personal Competence | |
Social Competence |
Groups of two students work on special projects. The students have the skill to separate the project into smaller parts and to present the achieved results in an appropriate short talk. |
Autonomy |
The student can use, select and estimate suitable sources, which are available from information technology companies. They apply those findings to their projects. |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Credit points | 2 |
Examination | Written elaboration |
Examination duration and scale | 15 minutes + disputation |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory Electrical Engineering: Specialisation Modeling and Simulation: Elective Compulsory |
Course L0087: Microcontroller Circuits: Implementation in Hardware and Software |
Typ | Seminar |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Siegfried Rump |
Language | DE |
Cycle |
WiSe/ |
Content | |
Literature |
Module M0644: Optoelectronics II - Quantum Optics |
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Courses | ||||||||||||
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Module Responsible | Prof. Manfred Eich |
Admission Requirements | None |
Recommended Previous Knowledge |
Basic principles of electrodynamics, optics and quantum mechanics |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students can explain the fundamental mathematical and physical relations of quantum optical phenomena such as absorption, stimulated and spontanous emission. They can describe material properties as well as technical solutions. They can give an overview on quantum optical components in technical applications. |
Skills |
Students can generate models and derive mathematical descriptions in relation to quantum optical phenomena and processes. They can derive approximative solutions and judge factors influential on the components' performance. |
Personal Competence | |
Social Competence |
Students can jointly solve subject related problems in groups. They can present their results effectively within the framework of the problem solving course. |
Autonomy |
Students are capable to extract relevant information from the provided references and to relate this information to the content of the lecture. They can reflect their acquired level of expertise with the help of lecture accompanying measures such as exam typical exam questions. Students are able to connect their knowledge with that acquired from other lectures. |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Credit points | 4 |
Examination | Written exam |
Examination duration and scale | 40 minutes |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory Electrical Engineering: Specialisation Microwave Engineering, Optics, and Electromagnetic Compatibility: Elective Compulsory Materials Science: Specialisation Nano and Hybrid Materials: Elective Compulsory Microelectronics and Microsystems: Specialisation Microelectronics Complements: Elective Compulsory |
Course L0360: Optoelectronics II: Quantum Optics |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Manfred Eich |
Language | EN |
Cycle | WiSe |
Content |
|
Literature |
Bahaa E. A. Saleh, Malvin Carl Teich, Fundamentals of Photonics, Wiley 2007 |
Course L0362: Optoelectronics II: Quantum Optics (Problem Solving Course) |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Manfred Eich |
Language | EN |
Cycle | WiSe |
Content | see lecture Optoelectronics 1 - Wave Optics |
Literature |
see lecture Optoelectronics 1 - Wave Optics |
Module M0768: Microsystems Technology in Theory and Practice |
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Courses | ||||||||||||
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Module Responsible | Prof. Hoc Khiem Trieu |
Admission Requirements | None |
Recommended Previous Knowledge |
Basics in physics, chemistry, mechanics and semiconductor technology |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able • to present and to explain current fabrication techniques for microstructures and especially methods for the fabrication of microsensors and microactuators, as well as the integration thereof in more complex systems • to explain in details operation principles of microsensors and microactuators and • to discuss the potential and limitation of microsystems in application. |
Skills |
Students are capable • to analyze the feasibility of microsystems, • to develop process flows for the fabrication of microstructures and • to apply them. |
Personal Competence | |
Social Competence |
Students are able to prepare and perform their lab experiments in team work as well as to present and discuss the results in front of audience. |
Autonomy |
None |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | 30 min |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory Electrical Engineering: Specialisation Medical Technology: Elective Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory International Management and Engineering: Specialisation II. Mechatronics: Elective Compulsory Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory Microelectronics and Microsystems: Core qualification: Elective Compulsory |
Course L0724: Microsystems Technology |
Typ | Lecture |
Hrs/wk | 2 |
CP | 4 |
Workload in Hours | Independent Study Time 92, Study Time in Lecture 28 |
Lecturer | Prof. Hoc Khiem Trieu |
Language | EN |
Cycle | WiSe |
Content |
|
Literature |
M. Madou: Fundamentals of Microfabrication, CRC Press, 2002 N. Schwesinger: Lehrbuch Mikrosystemtechnik, Oldenbourg Verlag, 2009 T. M. Adams, R. A. Layton:Introductory MEMS, Springer, 2010 G. Gerlach; W. Dötzel: Introduction to microsystem technology, Wiley, 2008 |
Course L0725: Microsystems Technology |
Typ | Problem-based Learning |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Hoc Khiem Trieu |
Language | EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0797: Research Project in Nanoelectronics and Microsystems Technology |
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Courses | ||||
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Module Responsible | Dozenten des SD E |
Admission Requirements | None |
Recommended Previous Knowledge |
Advanced state of knowledge in the electrical engineering master program |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students know current research topics oft institutes engaged in their specialization. They can name the fundamental scientific methods used for doing related reserach. |
Skills |
Students are capable of completing a small, independent sub-project of currently ongoing research projects in the institutes engaged in their specialization. Students can justify and explain their approach for problem solving, they can draw conclusions from their results, and then can find new ways and methods for their work. Students are capable of comparing and assessing alterantive approaches with their own with regard to given criteria. |
Personal Competence | |
Social Competence |
Students are able to discuss their work progress with research assistants of the supervising institute . They are capable of presenting their results in front of a professional audience. |
Autonomy |
Based on their competences gained so far students are capable of defining meaningful tasks within ongoing research project for themselves. They are able to develop the necessary understanding and problem solving methods. |
Workload in Hours | Independent Study Time 180, Study Time in Lecture 0 |
Credit points | 6 |
Examination | Project (accord. to Subject Specific Regulations) |
Examination duration and scale | |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory |
Module M0781: EMC II: Signal Integrity and Power Supply of Electronic Systems |
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Courses | ||||||||||||||||
|
Module Responsible | Prof. Christian Schuster |
Admission Requirements | None |
Recommended Previous Knowledge |
Fundamentals of electrical engineering |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to explain the fundamental principles, inter-dependencies, and methods of signal and power integrity of electronic systems. They are able to relate signal and power integrity to the context of interference-free design of such systems, i.e. their electromagnetic compatibility. They are capable of explaining the basic behavior of signals and power supply in typical packages and interconnects. They are able to propose and describe problem solving strategies for signal and power integrity issues. They are capable of giving an overview over measurement and simulation methods for characterization of signal and power integrity in electrical engineering practice. |
Skills |
Students are able to apply a series of modeling methods for characterization of electromagnetic field behavior in packages and interconnect structure of electronic systems. They are able to determine the most important effects that these models are predicting in terms of signal and power integrity. They can classify these effects and they can quantitatively analyze them. They are capable of deriving problem solving strategies from these predictions and they can adapt them to applications in electrical engineering practice. The can evaluate their problem solving strategies against each other. |
Personal Competence | |
Social Competence |
Students are able to work together on subject related tasks in small groups. They are able to present their results effectively in English (e.g. during CAD exercises). |
Autonomy |
Students are capable to gather necessary information from the references provided and relate that information to the context of the lecture. They are able to make a connection between their knowledge obtained in this lecture with the content of other lectures (e.g. theory of electromagnetic fields, communications, and semiconductor circuit design). They can communicate problems and solutions in the field of signal integrity and power supply of interconnect and packages in English. |
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | 30-60 minutes |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory Electrical Engineering: Specialisation Microwave Engineering, Optics, and Electromagnetic Compatibility: Elective Compulsory Mechatronics: Technical Complementary Course: Elective Compulsory |
Course L0770: EMC II: Signal Integrity and Power Supply of Electronic Systems |
Typ | Lecture |
Hrs/wk | 3 |
CP | 4 |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Lecturer | Prof. Christian Schuster |
Language | DE/EN |
Cycle | WiSe |
Content |
- The role of packages and interconnects in electronic systems - Components of packages and interconnects in electronic systems - Main goals and concepts of signal and power integrity of electronic systems - Repeat of relevant concepts from the theory electromagnetic fields - Properties of digital signals and systems - Design and characterization of signal integrity - Design and characterization of power supply - Techniques and devices for measurements in time- and frequency-domain - CAD tools for electrical analysis and design of packages and interconnects - Connection to overall electromagnetic compatibility of electronic systems |
Literature |
- J. Franz, "EMV: Störungssicherer Aufbau elektronischer Schaltungen", Springer (2012) - R. Tummala, "Fundamentals of Microsystems Packaging", McGraw-Hill (2001) - S. Ramo, J. Whinnery, T. Van Duzer, "Fields and Waves in Communication Electronics", Wiley (1994) - S. Thierauf, "Understanding Signal Integrity", Artech House (2010) - M. Swaminathan, A. Engin, "Power Integrity Modeling and Design for Semiconductors and Systems", Prentice-Hall (2007) |
Course L0771: EMC II: Signal Integrity and Power Supply of Electronic Systems |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Christian Schuster |
Language | DE/EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L0774: EMC II: Signal Integrity and Power Supply of Electronic Systems |
Typ | Laboratory Course |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Christian Schuster |
Language | DE/EN |
Cycle | WiSe |
Content |
- The role of packages and interconnects in electronic systems - Components of packages and interconnects in electronic systems - Main goals and concepts of signal and power integrity of electronic systems - Repeat of relevant concepts from the theory electromagnetic fields - Properties of digital signals and systems - Design and characterization of signal integrity - Design and characterization of power supply - Techniques and devices for measurements in time- and frequency-domain - CAD tools for electrical analysis and design of packages and interconnects - Connection to overall electromagnetic compatibility of electronic systems |
Literature |
- J. Franz, "EMV: Störungssicherer Aufbau elektronischer Schaltungen", Springer (2012) - R. Tummala, "Fundamentals of Microsystems Packaging", McGraw-Hill (2001) - S. Ramo, J. Whinnery, T. Van Duzer, "Fields and Waves in Communication Electronics", Wiley (1994) - S. Thierauf, "Understanding Signal Integrity", Artech House (2010) - M. Swaminathan, A. Engin, "Power Integrity Modeling and Design for Semiconductors and Systems", Prentice-Hall (2007) |
This specialization offers a wide range of topics with respect to various concepts of control and electric power systems, process measurement, robotics, communication networks and digital signal processing.
Students are enabled to analyze, to model and to simulate complex dynamical systems like electric power systems. Moreover, they acquire a profound knowledge about various methods to monitor and control complex systems and to specifically influence their dynamic behavior. In addition, they are able to understand information systems and their recent technologies used in electrical power engineering and develop innovative approaches for smart grids.
As a result, the students will have the skills to entirely analyze, design and optimize all aspects of control and electric power systems. In today’s age of increasing digitalization, automation and communication within many branches of industry especially towards a sustainable electrical power supply, this expertise is of outstanding importance for positions in industry and academia.
Module M0692: Approximation and Stability |
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Courses | ||||||||||||||||
|
Module Responsible | Prof. Marko Lindner |
Admission Requirements | None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to
|
Skills |
Students are able to
|
Personal Competence | |
Social Competence |
Students are able to solve specific problems in groups and to present their results appropriately (e.g. as a seminar presentation). |
Autonomy |
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | 30 |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory Electrical Engineering: Specialisation Modeling and Simulation: Elective Compulsory Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory Technomathematics: Specialisation I. Mathematics: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L0487: Approximation and Stability |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Marko Lindner |
Language | DE/EN |
Cycle | SoSe |
Content |
This course is about solving the following basic problems of Linear Algebra,
but now in function spaces (i.e. vector spaces of infinite dimension) by a stable approximation of the problem in a space of finite dimension. Contents:
|
Literature |
|
Course L0489: Approximation and Stability |
Typ | Seminar |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | Prof. Marko Lindner |
Language | DE/EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L0488: Approximation and Stability |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Marko Lindner |
Language | DE/EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0835: Humanoid Robotics |
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Courses | ||||||||
|
Module Responsible | Prof. Herbert Werner |
Admission Requirements |
None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
|
Skills |
|
Personal Competence | |
Social Competence |
|
Autonomy |
|
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Credit points | 2 |
Examination | Presentation |
Examination duration and scale | 30 min |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory Mechatronics: Specialisation System Design: Elective Compulsory Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory Theoretical Mechanical Engineering: Core qualification: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L0663: Humanoid Robotics |
Typ | Seminar |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Herbert Werner |
Language | DE |
Cycle | SoSe |
Content |
|
Literature |
- B. Siciliano, O. Khatib. "Handbook of Robotics. Part A: Robotics Foundations", Springer (2008). |
Module M0714: Numerical Treatment of Ordinary Differential Equations |
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Courses | ||||||||||||
|
Module Responsible | Prof. Blanca Ayuso Dios |
Admission Requirements | None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to
|
Skills |
Students are able to
|
Personal Competence | |
Social Competence |
Students are able to
|
Autonomy |
Students are capable
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 180 min |
Assignment for the Following Curricula |
Bioprocess Engineering: Specialisation A - General Bioprocess Engineering: Elective Compulsory Chemical and Bioprocess Engineering: Specialisation Chemical Process Engineering: Elective Compulsory Chemical and Bioprocess Engineering: Specialisation General Process Engineering: Elective Compulsory Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory Electrical Engineering: Specialisation Modeling and Simulation: Elective Compulsory Energy Systems: Core qualification: Elective Compulsory Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory Technomathematics: Specialisation I. Mathematics: Elective Compulsory Theoretical Mechanical Engineering: Core qualification: Compulsory Process Engineering: Specialisation Chemical Process Engineering: Elective Compulsory Process Engineering: Specialisation Process Engineering: Elective Compulsory |
Course L0576: Numerical Treatment of Ordinary Differential Equations |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Dr. Patricio Farrell |
Language | DE/EN |
Cycle | SoSe |
Content |
Numerical methods for Initial Value Problems
Numerical methods for Boundary Value Problems
|
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 | Dr. Patricio Farrell |
Language | DE/EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0838: Linear and Nonlinear System Identifikation |
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Courses | ||||||||
|
Module Responsible | Prof. Herbert Werner |
Admission Requirements | Control Systems Theory and Design |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
|
Skills |
|
Personal Competence | |
Social Competence |
Students can work in mixed groups on specific problems to arrive at joint solutions. |
Autonomy |
Students are able to find required information in sources provided (lecture notes, literature, software documentation) and use it to solve given problems. |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Credit points | 3 |
Examination | Oral exam |
Examination duration and scale | 30 min |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory Mechatronics: Specialisation System Design: Elective Compulsory Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory Biomedical Engineering: Specialisation Medical Technology and Control Theory: Compulsory Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory Theoretical Mechanical Engineering: Core qualification: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L0660: Linear and Nonlinear System Identification |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Herbert Werner |
Language | EN |
Cycle | SoSe |
Content |
|
Literature |
|
Module M0845: Feedback Control in Medical Technology |
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Courses | ||||||||
|
Module Responsible | Prof. Olaf Simanski |
Admission Requirements | |
Recommended Previous Knowledge |
Basics in Control, Basics in Physiology |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The lecture will introduce into the fascinating area of medical technology with the engineering point of view. Fundamentals in human physiology will be similarly introduced like knowledge in control theory. Internal control loops of the human body will be discussed in the same way like the design of external closed loop system fo example in for anesthesia control. The handling of PID controllers and modern controller like predictive controller or fuzzy controller or neural networks will be illustrated. The operation of simple equivalent circuits will be discussed. |
Skills |
Application of modeling, identification, control technology in the field of medical technology. |
Personal Competence | |
Social Competence |
Students can develop solutions to specific problems in small groups and present their results (e.g. during project week) |
Autonomy |
Students are able to find necessary literature and to set it into the context of the lecture. They are able to continuously evaluate their knowledge and to take control of their learning process. They can combine knowledge from different courses to form a consistent whole. |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Credit points | 3 |
Examination | Oral exam |
Examination duration and scale | |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory Electrical Engineering: Specialisation Medical Technology: Elective Compulsory Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory Biomedical Engineering: Specialisation Medical Technology and Control Theory: Compulsory Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory |
Course L0664: Feedback Control in Medical Technology |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Ulf Pilz, Prof. Olaf Simanski |
Language | DE |
Cycle | SoSe |
Content |
Taking an engineering point of view, the lecture is structured as follows.
The lecture will use knowledge from modeling, simulation and controller design and MATLAB and SIMULINK will be used. |
Literature |
Silbernagel/Depopoulos: Taschenatlas der Physiologie, Thieme Verlag Stuttgart Werner: Kooperative und autonome Systeme der Medizintechnik, Oldenburg Verlag M.C.K.Khoo:“Physiological Control System“, IEEE Press, 2000 |
Module M0932: Process Measurement Engineering |
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Courses | ||||||||||||
|
Module Responsible | Prof. Roland Harig |
Admission Requirements |
Bachelor in Elektrotechnik or Mechatronik |
Recommended Previous Knowledge |
Fundamental principles of electrical engineering and measurement technology |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students possess an understanding of complex, state-of-the-art process measurement equipment. They can relate devices and procedures to a variety of commonly used measurement and communications technology. |
Skills |
The students are capable of modeling and evaluating complex systems of sensing devices as well as associated communications systems. An emphasis is placed on a system-oriented understanding of the measurement equipment. |
Personal Competence | |
Social Competence |
Students can communicate the discussed technologies using the English language. |
Autonomy |
Students are capable of gathering 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. 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. Fundamentals of Electrical Engineering, Analysis, Stochastic Processes, Communication Systems). |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Credit points | 4 |
Examination | Oral exam |
Examination duration and scale | 45 minutes |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory |
Course L1077: Process Measurement Engineering |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Roland Harig |
Language | DE/EN |
Cycle | SoSe |
Content |
|
Literature |
- Färber: „Prozeßrechentechnik“, Springer-Verlag 1994 - Kiencke, Kronmüller: „Meßtechnik“, Springer Verlag Berlin Heidelberg, 1995 - A. Ambardar: „Analog and Digital Signal Processing“ (1), PWS Publishing Company, 1995, NTC 339 - A. Papoulis: „Signal Analysis“ (1), McGraw-Hill, 1987, NTC 312 (LB) - M. Schwartz: „Information Transmission, Modulation and Noise“ (3,4), McGraw-Hill, 1980, 2402095 - S. Haykin: „Communication Systems“ (1,3), Wiley&Sons, 1983, 2419072 - H. Sheingold: „Analog-Digital Conversion Handbook“ (5), Prentice-Hall, 1986, 2440072 - J. Fraden: „AIP Handbook of Modern Sensors“ (5,6), American Institute of Physics, 1993, MTB 346 |
Course L1083: Process Measurement Engineering |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Roland Harig |
Language | DE/EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0935: Microcontroller Circuits: Implementation in Hardware and Software |
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Courses | ||||||||
|
Module Responsible | Prof. Siegfried Rump |
Admission Requirements | none. |
Recommended Previous Knowledge | lecture: Computer Architectures |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students can describe parts and operation of a common family of microcontrollers. They know details about operations of CPUs, and they can transfer algorithms to machine code. |
Skills |
The students can design and use electronic circuits (digital with some analogue parts). Furthermore they are able to implement solutions of some tasks by way of assembler programming on these circuits. |
Personal Competence | |
Social Competence |
Groups of two students work on special projects. The students have the skill to separate the project into smaller parts and to present the achieved results in an appropriate short talk. |
Autonomy |
The student can use, select and estimate suitable sources, which are available from information technology companies. They apply those findings to their projects. |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Credit points | 2 |
Examination | Written elaboration |
Examination duration and scale | 15 minutes + disputation |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory Electrical Engineering: Specialisation Modeling and Simulation: Elective Compulsory |
Course L0087: Microcontroller Circuits: Implementation in Hardware and Software |
Typ | Seminar |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Siegfried Rump |
Language | DE |
Cycle |
WiSe/ |
Content | |
Literature |
Module M0939: Control Lab A |
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Courses | ||||||||||||||||||||
|
Module Responsible | Prof. Herbert Werner |
Admission Requirements |
|
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
|
Skills |
|
Personal Competence | |
Social Competence |
|
Autonomy |
|
Workload in Hours | Independent Study Time 64, Study Time in Lecture 56 |
Credit points | 4 |
Examination | Colloquium |
Examination duration and scale | |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory Mechatronics: Specialisation System Design: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory Theoretical Mechanical Engineering: Core qualification: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L1093: Control Lab I |
Typ | Laboratory Course |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Herbert Werner, Antonio Mendez Gonzalez |
Language | EN |
Cycle |
WiSe/ |
Content | One of the offered experiments in control theory. |
Literature |
Experiment Guides |
Course L1291: Control Lab II |
Typ | Laboratory Course |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Herbert Werner, Antonio Mendez Gonzalez |
Language | EN |
Cycle |
WiSe/ |
Content | One of the offered experiments in control theory. |
Literature |
Experiment Guides |
Course L1665: Control Lab III |
Typ | Laboratory Course |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Herbert Werner, Antonio Mendez Gonzalez |
Language | EN |
Cycle |
WiSe/ |
Content | One of the offered experiments in control theory. |
Literature |
Experiment Guides |
Course L1666: Control Lab IV |
Typ | Laboratory Course |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Herbert Werner, Antonio Mendez Gonzalez |
Language | EN |
Cycle |
WiSe/ |
Content | One of the offered experiments in control theory. |
Literature |
Experiment Guides |
Module M0840: Optimal and Robust Control |
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Courses | ||||||||||||
|
Module Responsible | Prof. Herbert Werner |
Admission Requirements |
Control Systems Theory and Design |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
|
Skills |
|
Personal Competence | |
Social Competence | Students can work in small groups on specific problems to arrive at joint solutions. |
Autonomy |
Students are able to find required information in sources provided (lecture notes, literature, software documentation) and use it to solve given problems. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | 30 min |
Assignment for the Following Curricula |
Computer Science: Specialisation Intelligence Engineering: Elective Compulsory Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory Energy Systems: Core qualification: Elective Compulsory Aircraft Systems Engineering: Specialisation Aircraft Systems: Elective Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory Mechatronics: Specialisation System Design: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory Product Development, Materials and Production: Specialisation Production: Elective Compulsory Product Development, Materials and Production: Specialisation Materials: Elective Compulsory Theoretical Mechanical Engineering: Core qualification: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L0658: Optimal and Robust Control |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Herbert Werner |
Language | EN |
Cycle | SoSe |
Content |
|
Literature |
|
Course L0659: Optimal and Robust Control |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Herbert Werner |
Language | EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1250: Electrical Power Systems II |
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Courses | ||||||||||||
|
Module Responsible | Prof. Christian Becker |
Admission Requirements | none |
Recommended Previous Knowledge |
Fundamentals of Electrical Engineering, Electrical Power Systems I |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to explain in detail and critically evaluate technologies and information systems for operational management of conventional and modern electric power systems as well as methods and algorithms for steady-state network calculation, failure calculation, power system operation and optimization. They are additonally able to apply these methods to real electric power systems. |
Skills |
With completion of this module the students are able to apply the acquired skills for planning and analysis of real electric power systems and to critically evaluate the results. |
Personal Competence | |
Social Competence |
The students can participate in specialized and interdisciplinary discussions, advance ideas and represent their own work results in front of others. |
Autonomy |
Students can independently tap knowledge of the emphasis of the lectures and apply it within further research activities. |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Credit points | 4 |
Examination | Oral exam |
Examination duration and scale | 30 - 60 minutes |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory |
Course L1696: Electrical Power Systems II |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Christian Becker |
Language | DE |
Cycle | SoSe |
Content |
|
Literature |
E. Handschin: Elektrische Energieübertragungssysteme, Hüthig Verlag B. R. Oswald: Berechnung von Drehstromnetzen, Springer-Vieweg Verlag V. Crastan: Elektrische Energieversorgung Bd. 1 & 3, Springer Verlag E.-G. Tietze: Netzleittechnik Bd. 1 & 2, VDE-Verlag |
Course L1697: Electrical Power Systems II |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Christian Becker |
Language | DE |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0633: Industrial Process Automation |
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Courses | ||||||||||||
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Module Responsible | Prof. Alexander Schlaefer |
Admission Requirements | None |
Recommended Previous Knowledge |
mathematics and optimization methods |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students can evaluate and assess disctrete event systems. They can evaluate properties of processes and explain methods for process analysis. The students can compare methods for process modelling and select an appropriate method for actual problems. They can discuss scheduling methods in the context of actual problems and give a detailed explanation of advantages and disadvantages of different programming methods. |
Skills |
The students are able to develop and model processes and evaluate them accordingly. This involves taking into account optimal scheduling, understanding algorithmic complexity and implementation using PLCs. |
Personal Competence | |
Social Competence |
The students work in teams to solve problems. |
Autonomy |
The students can reflect their knowledge and document the results of their work. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 90 minutes |
Assignment for the Following Curricula |
Bioprocess Engineering: Specialisation A - General Bioprocess Engineering: Elective Compulsory Chemical and Bioprocess Engineering: Specialisation Chemical Process Engineering: Elective Compulsory Chemical and Bioprocess Engineering: Specialisation General Process Engineering: Elective Compulsory Computer Science: Specialisation Intelligence Engineering: Elective Compulsory Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory Aircraft Systems Engineering: Specialisation Cabin Systems: Elective Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory International Production Management: Specialisation Production Technology: Elective Compulsory International Management and Engineering: Specialisation II. Mechatronics: Elective Compulsory Mechanical Engineering and Management: Specialisation Mechatronics: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory Process Engineering: Specialisation Chemical Process Engineering: Elective Compulsory Process Engineering: Specialisation Process Engineering: Elective Compulsory |
Course L0344: Industrial Process Automation |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Alexander Schlaefer |
Language | EN |
Cycle | WiSe |
Content |
- foundations of problem solving and system modeling, discrete event systems |
Literature |
J. Lunze: „Automatisierungstechnik“, Oldenbourg Verlag, 2012 |
Course L0345: Industrial Process Automation |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Alexander Schlaefer |
Language | EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0794: Research Project in Control and Power Systems |
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Courses | ||||
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Module Responsible | Dozenten des SD E |
Admission Requirements | None |
Recommended Previous Knowledge |
Advanced state of knowledge in the electrical engineering master program |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students know current research topics oft institutes engaged in their specialization. They can name the fundamental scientific methods used for doing related reserach. |
Skills |
Students are capable of completing a small, independent sub-project of currently ongoing research projects in the institutes engaged in their specialization. Students can justify and explain their approach for problem solving, they can draw conclusions from their results, and then can find new ways and methods for their work. Students are capable of comparing and assessing alterantive approaches with their own with regard to given criteria. |
Personal Competence | |
Social Competence |
Students are able to discuss their work progress with research assistants of the supervising institute . They are capable of presenting their results in front of a professional audience. |
Autonomy |
Based on their competences gained so far students are capable of defining meaningful tasks within ongoing research project for themselves. They are able to develop the necessary understanding and problem solving methods. |
Workload in Hours | Independent Study Time 180, Study Time in Lecture 0 |
Credit points | 6 |
Examination | Project (accord. to Subject Specific Regulations) |
Examination duration and scale | |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory |
Module M0677: Digital Signal Processing and Digital Filters |
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Courses | ||||||||||||
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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 basic algorithms of digital signal processing. They are familiar with the spectral transforms of discrete-time signals and are able to describe and analyse signals and systems in time and image domain. They know basic structures of digital filters and can identify and assess important properties including stability. They are aware of the effects caused by quantization of filter coefficients and signals. They are familiar with the basics of adaptive filters. They can perform traditional and parametric methods of spectrum estimation, also taking a limited observation window into account. |
Skills | The students are able to apply methods of digital signal processing to new problems. They can choose and parameterize suitable filter striuctures. In particular, the can design adaptive filters according to the minimum mean squared error (MMSE) criterion and develop an efficient implementation, e.g. based on the LMS or RLS algorithm. Furthermore, the students are able to apply methods of spectrum estimation and to take the effects of a limited observation window into account. |
Personal Competence | |
Social Competence |
The students can jointly solve specific problems. |
Autonomy |
The students are able to acquire relevant information from appropriate literature sources. They can control their level of knowledge during the lecture period by solving tutorial problems, software tools, clicker system. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Written exam |
Examination duration and scale | 90 min |
Assignment for the Following Curricula |
Computer Science: Specialisation Intelligence Engineering: Elective Compulsory Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory Information and Communication Systems: Specialisation Communication Systems, Focus Signal Processing: Elective Compulsory Mechanical Engineering and Management: Specialisation Mechatronics: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory Microelectronics and Microsystems: Specialisation Microelectronics Complements: Elective Compulsory |
Course L0446: Digital Signal Processing and Digital Filters |
Typ | Lecture |
Hrs/wk | 3 |
CP | 4 |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Lecturer | Prof. Gerhard Bauch |
Language | EN |
Cycle | WiSe |
Content |
|
Literature |
K.-D. Kammeyer, K. Kroschel: Digitale Signalverarbeitung. Vieweg Teubner. V. Oppenheim, R. W. Schafer, J. R. Buck: Zeitdiskrete Signalverarbeitung. Pearson StudiumA. V. W. Hess: Digitale Filter. Teubner. Oppenheim, R. W. Schafer: Digital signal processing. Prentice Hall. S. Haykin: Adaptive flter theory. L. B. Jackson: Digital filters and signal processing. Kluwer. T.W. Parks, C.S. Burrus: Digital filter design. Wiley. |
Course L0447: Digital Signal Processing and Digital Filters |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | Prof. Gerhard Bauch |
Language | EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0836: Communication Networks I - Analysis and Structure |
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Courses | ||||||||||||||||
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Module Responsible | Prof. Andreas Timm-Giel |
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 describe the principles and structures of communication networks in detail. They can explain the formal description methods of communication networks and their protocols. They are able to explain how current and complex communication networks work and describe the current research in these examples. |
Skills |
Students are able to evaluate the performance of communication networks using the learned methods. They are able to work out problems themselves and apply the learned methods. They can apply what they have learned autonomously on further and new communication networks. |
Personal Competence | |
Social Competence |
Students are able to define tasks themselves in small teams and solve these problems together using the learned methods. They can present the obtained results. They are able to discuss and critically analyse the solutions. |
Autonomy |
Students are able to obtain the necessary expert knowledge for understanding the functionality and performance capabilities of new communication networks independently. |
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Credit points | 6 |
Examination | Colloquium |
Examination duration and scale | 1.5 hours colloquium with three students, therefore about 30 min per student. Topics of the colloquium are the posters from the previous poster session and the topics of the module. |
Assignment for the Following Curricula |
Computer Science: Specialisation Computer and Software Engineering: Elective Compulsory Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory Computational Science and Engineering: Specialisation Information and Communication Technology: Elective Compulsory Information and Communication Systems: Specialisation Communication Systems: Elective Compulsory Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Networks: Elective Compulsory Mechatronics: Technical Complementary Course: Elective Compulsory Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory |
Course L0897: Analysis and Structure of Communication Networks |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Andreas Timm-Giel |
Language | EN |
Cycle | WiSe |
Content | |
Literature |
Further literature is announced at the beginning of the lecture. |
Course L0899: Selected Topics of Communication Networks |
Typ | Problem-based Learning |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Dr. Maciej Mühleisen |
Language | EN |
Cycle | WiSe |
Content | Example networks selected by the students will be researched on in a PBL course by the students in groups and will be presented in a poster session at the end of the term. |
Literature |
|
Course L0898: Communication Networks Excercise |
Typ | Problem-based Learning |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | Dr. Maciej Mühleisen |
Language | EN |
Cycle | WiSe |
Content | Part of the content of the lecture Communication Networks are reflected in computing tasks in groups, others are motivated and addressed in the form of a PBL exercise. |
Literature |
|
Module M1229: Control Lab B |
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Courses | ||||||||||||
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Module Responsible | Prof. Herbert Werner |
Admission Requirements | None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
|
Skills |
|
Personal Competence | |
Social Competence |
|
Autonomy |
|
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Credit points | 2 |
Examination | Colloquium |
Examination duration and scale | |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory Mechatronics: Specialisation System Design: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L1667: Control Lab V |
Typ | Laboratory Course |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Herbert Werner, Antonio Mendez Gonzalez |
Language | EN |
Cycle |
WiSe/ |
Content | One of the offered experiments in control theory. |
Literature |
Experiment Guides |
Course L1668: Control Lab VI |
Typ | Laboratory Course |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Herbert Werner, Antonio Mendez Gonzalez |
Language | EN |
Cycle |
WiSe/ |
Content | One of the offered experiments in control theory. |
Literature |
Experiment Guides |
Module M1236: Electrical Power Systems III |
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Courses | ||||||||||||
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Module Responsible | Prof. Christian Becker |
Admission Requirements | None |
Recommended Previous Knowledge |
Fundamentals of Electrical Engineering, Introduction to Control Systems, Electrical Power Systems I |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to explain in detail and critically evaluate methods for modelling, control and stability analyses of electric power systems. |
Skills |
With completion of this module the students are able to calculate and analyze the dynamic bahaviour and stability of real electric power systems using appropriate models. They are furthermore able to design voltage and load frequency controllers. |
Personal Competence | |
Social Competence |
The students can participate in specialized and interdisciplinary discussions, advance ideas and represent their own work results in front of others. |
Autonomy |
Students can independently tap knowledge of the emphasis of the lectures and apply it within further research activities. |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Credit points | 4 |
Examination | Oral exam |
Examination duration and scale | 30 - 60 minutes |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory |
Course L1683: Electrical Power Systems III |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Christian Becker |
Language | DE |
Cycle |
WiSe/ |
Content |
|
Literature |
E. Handschin: Elektrische Energieübertragungssysteme, Hüthig Verlag P. Kundur: Power System Stability and Control, McGraw-Hill, 1994 |
Course L1684: Electrical Power Systems III |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Christian Becker |
Language | DE |
Cycle |
WiSe/ |
Content | See interlocking course |
Literature | See interlocking course |
Module M0832: Advanced Topics in Control |
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Courses | ||||||||||||
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Module Responsible | Prof. Herbert Werner |
Admission Requirements | None |
Recommended Previous Knowledge | H-infinity optimal control, mixed-sensitivity design, linear matrix inequalities |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
|
Skills |
|
Personal Competence | |
Social Competence | Students can work in small groups and arrive at joint results. |
Autonomy |
Students are able to find required information in sources provided (lecture notes, literature, software documentation) and use it to solve given problems. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Examination | Oral exam |
Examination duration and scale | 30 min |
Assignment for the Following Curricula |
Computer Science: Specialisation Intelligence Engineering: Elective Compulsory Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory Aircraft Systems Engineering: Specialisation Aircraft Systems: Elective Compulsory Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory International Management and Engineering: Specialisation II. Mechatronics: Elective Compulsory Mechatronics: Specialisation System Design: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory Theoretical Mechanical Engineering: Core qualification: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory |
Course L0661: Advanced Topics in Control |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Herbert Werner |
Language | EN |
Cycle | WiSe |
Content |
|
Literature |
|
Course L0662: Advanced Topics in Control |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Herbert Werner |
Language | EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1305: Seminar Advanced Topics in Control |
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Courses | ||||||||
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Module Responsible | Prof. Herbert Werner |
Admission Requirements | None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
|
Skills |
|
Personal Competence | |
Social Competence |
|
Autonomy |
|
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Credit points | 2 |
Examination | Presentation |
Examination duration and scale | 90 min |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory Mechatronics: Specialisation System Design: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory |
Course L1803: Advanced Topics in Control |
Typ | Seminar |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Herbert Werner |
Language | EN |
Cycle |
WiSe/ |
Content |
|
Literature |
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Module M0666: Seminar on Electromagnetic Compatibility and Electrical Power Systems |
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Courses | ||||||||
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Module Responsible | Prof. Christian Schuster |
Admission Requirements | None |
Recommended Previous Knowledge |
Fundamentals of electrical engineering |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students know current research topics in the fields of electromagnetic compatibility, theory of electromagnetic fields, and electrical power systems. They are able to use professional language in discussions. They are able to explain research topics. |
Skills |
Students are able to gain knowledge about a new field by themselves. In order to do that they make use of their existing knowledge and try to connect it with the topics of the new field. They close their knowledge gaps by discussing with research assistants and by their own literature and internet search. They are capable of summarizing and presenting scientific publications. |
Personal Competence | |
Social Competence |
In cooperation with research assistants students are able to familiarize themselves with and discuss with others current research topics. They are capable of drafting, presenting, and explaining summaries of these topics in English in front of a professional audience. |
Autonomy |
Students are capable of gathering information from subject related, professional publications and relate that information to the context of the seminar. They are able to find on their own new sources in the Internet. They are able to make a connection with the subject of their chosen specialization. |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Credit points | 2 |
Examination | Presentation |
Examination duration and scale | 20-30 minutes |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Microwave Engineering, Optics, and Electromagnetic Compatibility: Elective Compulsory Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory |
Course L0409: Seminar on Electromagnetic Compatibility and Electrical Power Systems |
Typ | Seminar |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Christian Schuster, Prof. Frank Gronwald, Prof. Christian Becker |
Language | EN |
Cycle |
WiSe/ |
Content |
Current research topics in the fields electromagnetic compatibility, theory of electromagnetic fields, and electrical power systems |
Literature |
Aktuelle Literatur zu Forschungsthemen aus der elektromagnetischen Verträglichkeit, der theoretischen Elektrotechnik und der elektrischen Energiesystemtechnik / Current literature with regard to research topics in the fields of electromagnetic compatibility, theory of electromagnetic fields, and and electrical power systems |
Module M-002: Master Thesis |
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Courses | ||||
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Module Responsible | Professoren der TUHH |
Admission Requirements |
|
Recommended Previous Knowledge | |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
|
Skills |
The students are able:
|
Personal Competence | |
Social Competence |
Students can
|
Autonomy |
Students are able:
|
Workload in Hours | Independent Study Time 900, Study Time in Lecture 0 |
Credit points | 30 |
Examination | according to Subject Specific Regulations |
Examination duration and scale | see FSPO |
Assignment for the Following Curricula |
Civil Engineering: Thesis: Compulsory Bioprocess Engineering: Thesis: Compulsory Chemical and Bioprocess Engineering: Thesis: Compulsory Computer Science: Thesis: Compulsory Electrical Engineering: Thesis: Compulsory Energy and Environmental Engineering: Thesis: Compulsory Energy Systems: Thesis: Compulsory Environmental Engineering: Thesis: Compulsory Aircraft Systems Engineering: Thesis: Compulsory Global Innovation Management: Thesis: Compulsory Computational Science and Engineering: Thesis: Compulsory Information and Communication Systems: Thesis: Compulsory International Production Management: Thesis: Compulsory International Management and Engineering: Thesis: Compulsory Joint European Master in Environmental Studies - Cities and Sustainability: Thesis: Compulsory Logistics, Infrastructure and Mobility: Thesis: Compulsory Materials Science: Thesis: Compulsory Mechanical Engineering and Management: Thesis: Compulsory Mechatronics: Thesis: Compulsory Biomedical Engineering: Thesis: Compulsory Microelectronics and Microsystems: Thesis: Compulsory Product Development, Materials and Production: Thesis: Compulsory Renewable Energies: Thesis: Compulsory Naval Architecture and Ocean Engineering: Thesis: Compulsory Ship and Offshore Technology: Thesis: Compulsory Theoretical Mechanical Engineering: Thesis: Compulsory Process Engineering: Thesis: Compulsory Water and Environmental Engineering: Thesis: Compulsory |