Joachim M. Buhmann: Course units in Autumn Semester 2019 |
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 |
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 | Advanced Machine Learning | 8 credits | 3V + 2U + 2A | J. M. Buhmann | |
252-0945-09L | Doctoral Seminar Machine Learning (HS19) 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 | 2S | J. M. Buhmann, T. Hofmann, A. Krause, G. Rätsch | |
252-5051-00L | Advanced Topics in Machine Learning Number of participants limited to 40. The deadline for deregistering expires at the end of the fourth week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar. | 2 credits | 2S | J. M. Buhmann, A. Krause, G. Rätsch | |
401-5680-00L | Foundations of Data Science Seminar | 0 credits | 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 |