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 | |
---|---|---|---|---|---|
252-0945-05L | Doctoral Seminar Machine Learning (HS17) Only for Computer Science Ph.D. students. | 1 credit | 2S | J. M. Buhmann, T. Hofmann, A. Krause, G. Rätsch | |
252-5051-00L | Advanced Topics in Machine Learning Number of participants limited to 40. | 2 credits | 2S | J. M. Buhmann, T. Hofmann, A. Krause, G. Rätsch | |
263-5200-00L | Data Mining: Learning from Large Data Sets | 4 credits | 2V + 1U | A. Krause, Y. Levy | |
263-5210-00L | Probabilistic Artificial Intelligence | 4 credits | 2V + 1U | A. Krause | |
701-0901-00L | ETH Week 2017: Manufacturing the Future All ETH Bachelor¿s, Master¿s and exchange students can take part in the ETH week. No prior knowledge is required | 1 credit | 3S | R. Knutti, C. Bratrich, S. Brusoni, I. Burgert, A. Cabello Llamas, F. Gramazio, G. Grote, A. Krause, M. Meboldt, A. R. Studart, A. Vaterlaus |