Joachim M. Buhmann: Lehrveranstaltungen im Herbstsemester 2020

NameHerr Prof. Dr. Joachim M. Buhmann
LehrgebietInformatik (Information Science and Engineering)
Adresse
Institut für Maschinelles Lernen
ETH Zürich, CAB G 69.2
Universitätstrasse 6
8092 Zürich
SWITZERLAND
Telefon+41 44 632 31 24
Fax+41 44 632 15 62
E-Mailjbuhmann@inf.ethz.ch
URLhttp://www.ml.inf.ethz.ch/
DepartementInformatik
BeziehungOrdentlicher Professor

NummerTitelECTSUmfangDozierende
252-0535-00LAdvanced Machine Learning Information 10 KP3V + 2U + 4A
252-0535-00 VAdvanced 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.
Do15:15-16:00ETA F 5 »
Fr08:15-10:00ETA F 5 »
J. M. Buhmann, C. Cotrini Jimenez
252-0535-00 UAdvanced Machine Learning2 Std.
Mi14:15-16:00CAB G 61 »
16:15-18:00CAB G 61 »
Do16:15-18:00ML F 34 »
Fr14:15-16:00CAB G 61 »
J. M. Buhmann, C. Cotrini Jimenez
252-0535-00 AAdvanced Machine Learning
Project Work, no fixed presence required.
4 Std.J. M. Buhmann, C. Cotrini Jimenez
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
252-5051-00LAdvanced Topics in Machine Learning Information Belegung eingeschränkt - Details anzeigen
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 KP2S
252-5051-00 SAdvanced Topics in Machine Learning Für Fachstudierende und Hörer/-innen ist eine Spezialbewilligung der Dozierenden notwendig.2 Std.
Di16:15-18:00CAB G 56 »
Do16:15-18:00CAB G 59 »
J. M. Buhmann, G. Rätsch, J. Vogt, F. Yang
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