Andreas Krause: Lehrveranstaltungen im Herbstsemester 2020

Auszeichnung: Die Goldene Eule
NameHerr Prof. Dr. Andreas Krause
LehrgebietInformatik
Adresse
Institut für Maschinelles Lernen
ETH Zürich, CAB G 81.2
Universitätstrasse 6
8092 Zürich
SWITZERLAND
Telefon+41 44 632 63 22
Fax+41 44 623 15 62
E-Mailkrausea@ethz.ch
URLhttp://las.ethz.ch/krausea.html
DepartementInformatik
BeziehungOrdentlicher Professor

NummerTitelECTSUmfangDozierende
252-0945-11LDoctoral Seminar Machine Learning (HS20) Belegung eingeschränkt - Details anzeigen
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 KP1S
252-0945-00 SDoctoral Seminar Machine Learning1 Std.
Di12:15-13:00CAB G 59 »
J. M. Buhmann, T. Hofmann, A. Krause, G. Rätsch
263-5210-00LProbabilistic Artificial Intelligence Information Belegung eingeschränkt - Details anzeigen 8 KP3V + 2U + 2A
263-5210-00 VProbabilistic Artificial Intelligence
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.
Fr10:15-12:00ETA F 5 »
13:15-14:00ETA F 5 »
A. Krause
263-5210-00 UProbabilistic Artificial Intelligence2 Std.
Do16:00-18:00ON LI NE »
A. Krause
263-5210-00 AProbabilistic Artificial Intelligence2 Std.A. Krause
401-5680-00LFoundations of Data Science Seminar Information 0 KP
401-5680-00 KFoundations 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