Gunnar Rätsch: Courses in Autumn Semester 2023 |
| Name | Prof. Dr. Gunnar Rätsch |
| Name variants | Gunnar Rätsch Gunnar Raetsch Gunnar Ratsch |
| Field | Biomedical |
| Address | Professur für Biomedizininformatik ETH Zürich, CAB F 53.2 Universitätstrasse 6 8092 Zürich SWITZERLAND |
| Telephone | +41 44 632 20 36 |
| raetsch@inf.ethz.ch | |
| URL | http://bmi.inf.ethz.ch |
| Department | Computer Science |
| Relationship | Full Professor |
| Number | Title | ECTS | Hours | Lecturers | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 252-0945-17L | Doctoral Seminar Machine Learning (HS23)  Only for Computer Science Ph.D. students. This doctoral seminar is intended for PhD students affiliated with the Institute for Machine Learning. Other PhD students who work on machine learning projects or related topics need approval by at least one of the organizers to register for the seminar. | 2 credits | 1S | ||||||||||||||
| 252-0945-00 S | Doctoral Seminar Machine Learning | 1 hrs |
| N. He, V. Boeva, J. M. Buhmann, R. Cotterell, T. Hofmann, A. Krause, G. Rätsch, M. Sachan, J. Vogt, F. Yang | |||||||||||||
| 263-5056-00L | Applications of Deep Learning on Graphs  | 4 credits | 2G + 1A | ||||||||||||||
| 263-5056-00 G | Applications of Deep Learning on Graphs | 2 hrs |
| M. Kuznetsova, G. Rätsch | |||||||||||||
| 263-5056-00 A | Applications of Deep Learning on Graphs | 1 hrs | M. Kuznetsova, G. Rätsch | ||||||||||||||
| 263-5100-00L | Topics in Medical Machine Learning The deadline for deregistering expires at the end of the fourth week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar. | 2 credits | 2S | ||||||||||||||
| 263-5100-00 S | Topics in Medical Machine Learning | 2 hrs |
| G. Rätsch, J. Vogt | |||||||||||||