Courses
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Elective Module 1: Microelectronics (7.5 ECTS-Credits, 5 h)
Prerequisites for registration: none
Learning Outcome: After successful completion of this module, the students possess advanced knowledge in the field of analysis, design, realisation and testing of microelectronic circuits and systems.
Elective Module 2: Machine Learning (7.5 ECTS-Credits, 5 h)
Prerequisites for registration: none
Learning Outcome: After successful completion of the module, students have in-depth theoretical knowledge in the area of machine learning and classic information theory. They are able to realistically assess possible applications of machine learning and use their knowledge to solve specific problems.
Elective Module 3: Power Converter Technology (7.5 ECTS-Credits, 5 h)
Prerequisites for registration: none
Learning Outcome: After successful completion of the module, the students have an in-depth understanding of the structure, function, control and possible applications of modern power converters. They are able to combine this knowledge with methods from other fields of engineering, for example measurement and control technology. They are able to recognise and analyse problems that occur in practice-relevant situations and find possible solutions.
Elective Module 4: High Frequency Technology (7.5 ECTS-Credits, 6 h)
Prerequisites for registration: none
Learning Outcome: After successful completion of the module, students have a deeper understanding of energy and active power transport by means of electromagnetic waves. They have an advanced understanding in connection with wireless communication of integrated systems with high-frequency components.
Elective Module 5: Power Electronics (10 ECTS-Credits, 7 h)
(no courses)
Prerequisites for registration: none
Learning Outcome: After successful completion of the module, students are familiar with the physical and technological properties of modern power semiconductors and can select, analyse and model them for the use in power electronic systems.
Elective Module 6: Electric Drive Technology (10 ECTS-Credits, 6 h)
Prerequisites for registration: none
Learning Outcome: After successful completion of the module, the students have an in-depth understanding of the physical functional principles of electrical machines. They are able to analyse and model electrical machines in stationary and dynamic operating conditions. They have experience in handling electrical machines and drives in practice-relevant situations.
Elective Module 7: Energy Systems (10 ECTS-Credits, 7 h)
(no courses)
Prerequisites for registration: none
Learning Outcome: After successful completion of the module, students are familiar with the special characteristics of conventional, renewable and decentralised energy sources. They have in-depth knowledge of methods of energy conversion from renewable energy sources and are able to define sustainable use concepts.
Elective Module 8: Control Engineering (10 ECTS-Credits, 6 h)
(no courses)
Prerequisites for registration: none
Learning Outcome: After successful completion of the module, students have in-depth knowledge of non-linear phenomena of dynamic systems as well as methods for their characterisation. They are familiar with analytical and optimisation-based design methods for the control of dynamic systems and are able to use them to solve demanding control tasks in a targeted way.
Elective Module 9: Measurement Technology (10 ECTS-Credits, 7 h)
Prerequisites for registration: none
Learning Outcome: After successful completion of the module, the students are familiar with advanced methods of measurement technology and can design modern measurement systems of process measurement technology and use computer-aided measurement technology. They know important tasks of computer vision and can algorithmically implement procedures for the reconstruction of three-dimensional scene geometries. They know modern hardware and software components of embedded systems as well as the special requirements of embedded operating systems.
Elective Module: Automation and Robotics (10 ECTS-Credits, 7 h)
(no courses)
Prerequisites for registration: keine
Learning Outcome: After successful completion of the module, the students have an in-depth understanding of the kinematic description of robot systems and are able to use this knowledge for the analysis, synthesis and evaluation of mechanical systems. They have advanced knowledge of the structure and main functions of robot systems and can solve complex handling tasks with collaborative and mobile robots. They master methods for modelling, analysing and designing combinatorial and sequential controls and are able to use these to solve demanding control tasks.
Elective Module 11: Specialisation A (10 ECTS-Credits 6 h)
Prerequisites for registration: none
Learning Outcome: In-depth understanding of specialised fields in electrical engineering; acquisition of the ability to independently advance one¿s knowledge and skills in the field;
Elective Module 12: Specialisation B (10 ECTS-Credits, 6 h)
Prerequisites for registration: none
Learning Outcome: In-depth understanding of specialised fields in electrical engineering; acquisition of the ability to independently advance one¿s knowledge and skills in the field;
COURSES
Elective Module: Interdisciplinary Skills (10 ECTS-Credits)
Prerequisites for registration: The perquisites specified by the respective curricula must be met.
Learning Outcome: Expansion of the study programme and acquisition of additional qualifications;
Elective Module 14: Individual Choice of Specialisation (20 ECTS-Credits)
(no courses)
Prerequisites for registration: The registration prerequisites specified by the respective curricula must be met.
Notes:
- There may still be changes in the courses offered as well as room allocation and course dates.
- The course descriptions found in the English version of the course catalogue are for informational purposes only. Authoritative information can be found in the "Vorlesungsverzeichnis" (German version of the course catalogue).