Gunnar Rätsch: Lehrveranstaltungen im Herbstsemester 2019

NameHerr Prof. Dr. Gunnar Rätsch
LehrgebietBiomedizininformatik
Adresse
Professur für Biomedizininformatik
ETH Zürich, CAB F 53.2
Universitätstrasse 6
8092 Zürich
SWITZERLAND
Telefon+41 44 632 20 36
E-Mailraetsch@inf.ethz.ch
URLhttp://bmi.inf.ethz.ch
DepartementInformatik
BeziehungOrdentlicher Professor

NummerTitelECTSUmfangDozierende
252-0945-09LDoctoral Seminar Machine Learning (HS19) 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 KP2S
252-0945-00 SDoctoral Seminar Machine Learning2 Std.
Di12:15-13:00CAB G 59 »
J. M. Buhmann, T. Hofmann, A. Krause, G. Rätsch
252-4811-00LMachine Learning Seminar Information Belegung eingeschränkt - Details anzeigen
Number of participants limited to 24.

The deadline for deregistering expires at the end of the second 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
252-4811-00 SMachine Learning Seminar
A first information meeting will be held on Wednesday, September 25, 2019, 15.00 - 17.00. Room HG E 21. In this meeting, the seminar topics will be presented and assigned to participants. The seminar talks will be given in two blocks on two Saturdays, namely November 16 and November 23. All participants are requested to be actively present on both dates.
2 Std.
25.09.15:15-17:00HG E 21 »
16.11.09:15-16:00CAB G 52 »
23.11.10:15-17:00CAB G 52 »
T. Hofmann, 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 57 »
J. M. Buhmann, A. Krause, G. Rätsch
261-5100-00LComputational Biomedicine Information Belegung eingeschränkt - Details anzeigen
Number of participants limited to 60.
5 KP2V + 1U + 1A
261-5100-00 VComputational Biomedicine2 Std.
Di10:15-12:00LEE E 101 »
G. Rätsch, V. Boeva, N. Davidson
261-5100-00 UComputational Biomedicine1 Std.
Di13:15-14:00CAB G 56 »
G. Rätsch, V. Boeva, N. Davidson
261-5100-00 AComputational Biomedicine1 Std.G. Rätsch, V. Boeva, N. Davidson
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
551-1299-00LIntroduction to Bioinformatics Belegung eingeschränkt - Details anzeigen 6 KP4G
551-1299-00 GIntroduction to Bioinformatics
Lecture: Mo 15-17
Exercises: Mo 17-19
4 Std.
Mo15:15-17:00ML F 39 »
17:15-19:00ML F 39 »
S. Sunagawa, M. Gstaiger, A. Kahles, G. Rätsch, B. Snijder, E. Vayena, C. von Mering, N. Zamboni