Veranstaltungsverzeichnis

Department of Health Services Research

• English course offer for exchange students :
• School of Medicine and Health Sciences
• Department of Health Services Research

Winter semester 2026/2027 12 Seminars

VAK Course Number	Title	Type Lecture Preliminary studies Advanced courses Practical course Colloquium Research group Workgroup Project group Council conference Internship Language course Subject didactics Excursion Tutorial Committee	SWS Semester weekly hours	Teachers	Degree
6.07.5408_L	Applied Deep Learning Friday, 12:00 - 14:00, Weekly (from 16.10.26) Description: This lecture provides a comprehensive introduction to contemporary Deep Learning methods, with a specific emphasis on their practical application. Concurrently, it serves as a primer for the widely-used PyTorch Deep Learning framework, assuming only a basic familiarity with Python. The course encompasses a wide range of prevalent machine learning tasks across various data types, including tabular, image, text, audio, and graph data. Throughout the course, we delve into the most crucial and up-to-date model architectures within these domains. This encompasses convolutional neural networks, recurrent neural networks, and transformer models. The lecture is complemented by hands-on exercise sessions, where students will gain practical proficiency with PyTorch. Simultaneously, they will acquire practical insights to effectively apply contemporary deep learning methods within their specific fields of interest.	Lecture	-	Maham Khokhar Nils Neukirch Prof. Dr. Nils Strodthoff Elias Krey	Master
6.06.812	English Grammar Lab The course times are not decided yet. Description: Die Seminare vermitteln Kenntnisse zum Verständnis und zur Analyse englischsprachiger wissenschaftlicher Studien. Der Schwerpunkt liegt auf der geschriebenen Sprache.	Seminar	-	Prof. Dr. Kathrin Börner	Master
6.07.580_2	Discussion of current Topics in 'Medical Informatics' Thursday, 14:00 - 16:00, Weekly (from 15.10.26) Description: The same course will be offered in the summer and winter term. You can only participate once.	Seminar	-	Bastian Brandes Prof. Dr. Antje Wulff Rüdebusch	Bachelor Master
6.07.524	Medical Basics Tuesday, 08:00 - 12:00, Fortnightly (from 13.10.26) Wednesday, 08:00 - 12:00, Fortnightly (from 14.10.26) Description:	Lecture	-	Dr. med. Milan Till Chuck Bömmer Prof. Dr. Antje Wulff Rüdebusch Dr. Lion von zur Gathen Bastian Brandes Ann-Kathrin Knak	Master
6.07.5408_E1	Applied Deep Learning Wednesday, 16:00 - 18:00, Weekly (from 21.10.26) Description:	Exercises	2	Prof. Dr. Nils Strodthoff Elias Krey	Master
6.07.5408_E2	Applied Deep Learning Monday, 12:00 - 14:00, Weekly (from 19.10.26) Description:	Exercises	2	Maham Khokhar Prof. Dr. Nils Strodthoff	Master
6.06.811	Journal Club Tuesday, 08:15 - 09:45, Weekly (from 13.10.26) Description: Die Seminare vermitteln Kenntnisse zum Verständnis und zur Analyse englischsprachiger wissenschaftlicher Studien. Der Schwerpunkt liegt auf der geschriebenen Sprache.	Seminar	-	Prof. Dr. Kathrin Börner	Master
6.07.575	Group Project Data Science in Medicine and Healthcare Monday, 12.10.26, 10:00 - 12:00 o'clock Monday, 07.12.26, 10:00 - 12:00 o'clock Monday, 18.01.27, 10:00 - 12:00 o'clock Monday, 25.01.27, 10:00 - 12:00 o'clock Description:	Practical training	-	Prof. Dr. Nils Strodthoff Prof. Dr. Antje Wulff Rüdebusch	Master
6.07.589	Special Topics in Medical Informatics Thursday, 10:00 - 12:00, Weekly (from 15.10.26) Tuesday, 12:00 - 14:00, Weekly (from 20.10.26) Description:	Lecture	-	Prof. Dr. Antje Wulff Rüdebusch Bastian Brandes	Master
6.07.560	Current Topics in Uncertainty Quantification for Machine Learning Algorithms Monday, 08:00 - 10:00, Weekly (from 19.10.26) Description:	Seminar	-	Prof. Dr. Nils Strodthoff	Master
6.07.5408_E3	Applied Deep Learning Wednesday, 12:00 - 14:00, Weekly (from 21.10.26) Description:	Exercises	2	Nils Neukirch Prof. Dr. Nils Strodthoff	Master
6.07.550	Ethics in Data Science Friday, 10:00 - 12:00, Weekly (from 16.10.26) Description:	Lecture	-	Prof. Dr. Gerald Enzner Prof. Dr. Alexander Hartmann Matthias Hauer Prof. Dr. Bernd Meyer Prof. Dr. Peter Ruckdeschel Prof. Dr. Mark Schweda Prof. Dr. Nils Strodthoff Prof. Dr. Antje Wulff Rüdebusch	Master
12 Seminars