Teaching
We regularly teach courses for degree programs at the Faculty of Electrical Engineering and the Faculty of Medicine at RWTH Aachen University. All of our courses are taught in English.
Students who are interested in pursuing a master's thesis or PhD with our group are warmly encouraged to take part in our courses. They can provide a helpful introduction to the topics and methods we work on and are also a good opportunity to get to know our research.
Details of all offered courses can be found on RWTHOnline!
Current courses
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Winter Semester 2026-27
Deep Learning for Medical Diagnostics
RWTH Aachen University
Faculty of Electrical Engineering and Information Technology
M.Sc. Electrical Engineering and Information Technology
Lecture with exercises
5 ECTS
Past courses
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Summer Semester 2026
Large Language Models in Medicine: Opportunities and Risks
RWTH Aachen University
Faculty of Medicine
Qualification profile
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Winter Semester 2025-26
Image Processing and Handling
RWTH Aachen University
Faculty of Medicine
Lecture with exercises
5 ECTS
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Winter Semester 2025-26
Signal & Image Processing
RWTH Aachen University
Faculty of Medicine
M.Sc. Applied Health Informatics & Digital Medicine
Lecture with exercises
5 ECTS
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Summer Semester 2025
Deep Learning
Friedrich-Alexander-Universität Erlangen-Nürnberg
Faculty of Engineering, Department of Computer Science and Department of Electrical Engineering
Multiple master's degree programs, including: Computer Science, Artificial Intelligence, Medical Engineering, Computational Engineering, Electrical Engineering, Advanced Signal Processing & Communications Engineering, Communications & Multimedia Engineering, Data Science
Lecture with exercises
5 ECTS
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Winter Semester 2024-25
Advanced Deep Learning
Friedrich-Alexander-Universität Erlangen-Nürnberg
Faculty of Engineering, Department of Computer Science and Department of Electrical Engineering
Multiple master's degree programs, including: Computer Science, Artificial Intelligence, Medical Engineering, Computational Engineering
Lecture with exercises
5 ECTS