Joachim M. Buhmann: Courses in Autumn Semester 2017 |
Name | Prof. em. Dr. Joachim M. Buhmann |
Field | Computer Science (Information Science and Engineering) |
Address | Institut für Maschinelles Lernen ETH Zürich, OAT Y 13.2 Andreasstrasse 5 8092 Zürich SWITZERLAND |
Telephone | +41 44 632 31 24 |
Fax | +41 44 632 15 62 |
jbuhmann@inf.ethz.ch | |
URL | http://www.ml.inf.ethz.ch/ |
Department | Computer Science |
Relationship | Professor emeritus |
Number | Title | ECTS | Hours | Lecturers | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
252-0535-00L | Machine Learning | 8 credits | 3V + 2U + 2A | ||||||||||||||
252-0535-00 V | Machine Learning Vorlesung: Donnerstag im ML D 28 mit Videoübertragung im ML E 12 Freitag im HG F 1 mit Videoübertragung im HG F 3 | 3 hrs |
| J. M. Buhmann | |||||||||||||
252-0535-00 U | Machine Learning | 2 hrs |
| J. M. Buhmann | |||||||||||||
252-0535-00 A | Machine Learning Project Work, no fixed presence required. | 2 hrs | J. M. Buhmann | ||||||||||||||
252-0945-05L | Doctoral Seminar Machine Learning (HS17) Only for Computer Science Ph.D. students. | 1 credit | 2S | ||||||||||||||
252-0945-00 S | Doctoral Seminar Machine Learning | 2 hrs |
| 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 | ||||||||||||||
252-5051-00 S | Advanced Topics in Machine Learning | 2 hrs |
| J. M. Buhmann, T. Hofmann, A. Krause, G. Rätsch |