Joachim M. Buhmann: Lehrveranstaltungen im Herbstsemester 2020 |
Name | Herr Prof. em. Dr. Joachim M. Buhmann |
Lehrgebiet | Informatik (Information Science and Engineering) |
Adresse | Institut für Maschinelles Lernen ETH Zürich, OAT Y 13.2 Andreasstrasse 5 8092 Zürich SWITZERLAND |
Telefon | +41 44 632 31 24 |
jbuhmann@inf.ethz.ch | |
URL | http://www.ml.inf.ethz.ch/ |
Departement | Informatik |
Beziehung | Professor emeritus |
Nummer | Titel | ECTS | Umfang | Dozierende | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
252-0535-00L | Advanced Machine Learning | 10 KP | 3V + 2U + 4A | ||||||||||||||
252-0535-00 V | Advanced Machine Learning 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. |
| J. M. Buhmann, C. Cotrini Jimenez | |||||||||||||
252-0535-00 U | Advanced Machine Learning | 2 Std. |
| J. M. Buhmann, C. Cotrini Jimenez | |||||||||||||
252-0535-00 A | Advanced Machine Learning Project Work, no fixed presence required. | 4 Std. | J. M. Buhmann, C. Cotrini Jimenez | ||||||||||||||
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 | |||||||||||||
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 KP | 2S | ||||||||||||||
252-5051-00 S | Advanced Topics in Machine Learning | 2 Std. |
| J. M. Buhmann, G. Rätsch, J. Vogt, F. Yang | |||||||||||||
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 |