Andreas Krause: Course units in Autumn Semester 2023 |  |
| Name | Prof. Dr. Andreas Krause |
| Field | Computer Science |
| Address | Institut für Maschinelles Lernen ETH Zürich, OAT Y 13.1 Andreasstrasse 5 8092 Zürich SWITZERLAND |
| Telephone | +41 44 632 63 22 |
| Fax | +41 44 623 15 62 |
| krausea@ethz.ch | |
| URL | http://las.ethz.ch/krausea.html |
| 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 | N. He, V. Boeva, J. M. Buhmann, R. Cotterell, T. Hofmann, A. Krause, G. Rätsch, M. Sachan, J. Vogt, F. Yang | |
| 263-5210-00L | Probabilistic Artificial Intelligence  | 8 credits | 3V + 2U + 2A | A. Krause | |