Andreas Krause: Lerneinheiten im Frühjahrssemester 2019 |  |
| 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 | |
|---|---|---|---|---|---|
| 252-0220-00L | Introduction to Machine Learning   Previously called Learning and Intelligent Systems. | 8 KP | 4V + 2U + 1A | A. Krause | |
| 252-0945-08L | Doctoral Seminar Machine Learning (FS19) Only for Computer Science Ph.D. students. This doctoral seminar is intended for PhD students affiliated with the Instutute 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 | 2S | J. M. Buhmann, T. Hofmann, A. Krause, G. Rätsch | |
| 401-5680-00L | Foundations of Data Science Seminar | 0 KP | P. L. Bühlmann, H. Bölcskei, J. M. Buhmann, T. Hofmann, A. Krause, A. Lapidoth, H.‑A. Loeliger, M. H. Maathuis, N. Meinshausen, G. Rätsch, S. van de Geer | ||