Name | Herr Prof. Dr. Andreas Krause |
Lehrgebiet | Informatik |
Adresse | Institut für Maschinelles Lernen ETH Zürich, OAT Y 13.1 Andreasstrasse 5 8092 Zürich SWITZERLAND |
Telefon | +41 44 632 63 22 |
Fax | +41 44 623 15 62 |
krausea@ethz.ch | |
URL | http://las.ethz.ch/krausea.html |
Departement | Informatik |
Beziehung | Ordentlicher Professor |
Nummer | Titel | ECTS | Umfang | Dozierende | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|
252-0945-11L | Doctoral Seminar Machine Learning (HS20) 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 KP | 1S | ||||||||
252-0945-00 S | Doctoral Seminar Machine Learning | 1 Std. |
| J. M. Buhmann, T. Hofmann, A. Krause, G. Rätsch | |||||||
263-5210-00L | Probabilistic Artificial Intelligence | 8 KP | 3V + 2U + 2A | ||||||||
263-5210-00 V | Probabilistic Artificial Intelligence The lectures will mostly be given in a lecture hall with limited attendance (at most 50% of lecture hall capacity). It will be possible to join remotely via zoom with acccess to slides, whiteboard, and speaker camera. Students can interact, e.g. ask questions, physically as well as digitally. The lectures will be recorded via zoom’s recording functionality. | 3 Std. |
| A. Krause | |||||||
263-5210-00 U | Probabilistic Artificial Intelligence | 2 Std. |
| A. Krause | |||||||
263-5210-00 A | Probabilistic Artificial Intelligence | 2 Std. | A. Krause | ||||||||
401-5680-00L | Foundations of Data Science Seminar | 0 KP | |||||||||
401-5680-00 K | Foundations of Data Science Seminar | 4s Std. | P. L. Bühlmann, A. Bandeira, H. Bölcskei, J. M. Buhmann, T. Hofmann, A. Krause, A. Lapidoth, H.‑A. Loeliger, M. H. Maathuis, G. Rätsch, C. Uhler, S. van de Geer, F. Yang |