Gunnar Rätsch: Courses in Spring Semester 2022

Name Prof. Dr. Gunnar Rätsch
FieldBiomedical
Address
Professur für Biomedizininformatik
ETH Zürich, CAB F 53.2
Universitätstrasse 6
8092 Zürich
SWITZERLAND
Telephone+41 44 632 20 36
E-mailraetsch@inf.ethz.ch
URLhttp://bmi.inf.ethz.ch
DepartmentComputer Science
RelationshipFull Professor

NumberTitleECTSHoursLecturers
252-0868-00LData Science for Medicine Information Restricted registration - show details
Only for Human Medicine BSc
4 credits4V
252-0868-00 VData Science for Medicine4 hrs
04.04. - 13.04.08:15-18:00HG D 1.2 »
05.04.13:15-17:00LFW B 3 »
13:15-17:00ML H 37.1 »
13:15-17:00NO E 39 »
06.04.13:15-17:00CLA E 4 »
13:15-17:00HG E 23 »
13:15-17:00ML H 37.1 »
07.04.13:15-17:00CHN G 46 »
13:15-17:00HG D 3.1 »
13:15-17:00HG D 5.3 »
08.04.13:15-17:00HG F 26.1 »
13:15-17:00HG F 26.3 »
13:15-17:00LFW B 2 »
11.04.13:15-17:00HG F 26.1 »
13:15-17:00LFW B 3 »
13:15-17:00ML H 37.1 »
12.04.13:15-17:00HG E 22 »
13:15-17:00ML E 12 »
13:15-17:00ML F 39 »
13.04.13:15-17:00CLA E 4 »
13:15-17:00LFW B 3 »
13:15-17:00ML H 37.1 »
J. Vogt, V. Boeva, G. Rätsch
252-0945-14LDoctoral Seminar Machine Learning (FS22)
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 credits1S
252-0945-00 SDoctoral Seminar Machine Learning1 hrs
Tue12:15-13:00CAB G 56 »
N. He, M. Sachan, A. Krause, G. Rätsch
261-5120-00LMachine Learning for Health Care Information Restricted registration - show details
Number of participants limited to 150.
5 credits2V + 2A
261-5120-00 VMachine Learning for Health Care2 hrs
Tue10:15-12:00HG D 7.2 »
V. Boeva, G. Rätsch, J. Vogt
261-5120-00 AMachine Learning for Health Care2 hrs
Tue13:15-14:00HG D 7.2 »
V. Boeva, G. Rätsch, J. Vogt
263-0008-00LComputational Intelligence Lab
Only for master students, otherwise a special permission by the study administration of D-INFK is required.
8 credits2V + 2U + 3A
263-0008-00 VComputational Intelligence Lab2 hrs
Fri10:15-12:00ML D 28 »
G. Rätsch
263-0008-00 UComputational Intelligence Lab
Exercise: Fri 16-18
Q&A: Thu 14-15
2 hrs
Thu14:00-15:00ON LI NE »
Fri16:00-18:00ON LI NE »
G. Rätsch
263-0008-00 AComputational Intelligence Lab
No presence required.
3 hrsG. Rätsch