Gunnar Rätsch: Courses in Autumn Semester 2019

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
252-0945-09LDoctoral Seminar Machine Learning (HS19) Restricted registration - show details
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 credits2S
252-0945-00 SDoctoral Seminar Machine Learning2 hrs
Tue12:15-13:00CAB G 59 »
J. M. Buhmann, T. Hofmann, A. Krause, G. Rätsch
252-4811-00LMachine Learning Seminar Information Restricted registration - show details
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 credits2S
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 hrs
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 Restricted registration - show details
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 credits2S
252-5051-00 SAdvanced Topics in Machine Learning Special students and auditors need a special permission from the lecturers.2 hrs
Tue16:15-18:00CAB G 56 »
Thu16:15-18:00CAB G 57 »
J. M. Buhmann, A. Krause, G. Rätsch
261-5100-00LComputational Biomedicine Information Restricted registration - show details
Number of participants limited to 60.
5 credits2V + 1U + 1A
261-5100-00 VComputational Biomedicine2 hrs
Tue10:15-12:00LEE E 101 »
G. Rätsch, V. Boeva, N. Davidson
261-5100-00 UComputational Biomedicine1 hrs
Tue13:15-14:00CAB G 56 »
G. Rätsch, V. Boeva, N. Davidson
261-5100-00 AComputational Biomedicine1 hrsG. Rätsch, V. Boeva, N. Davidson
401-5680-00LFoundations of Data Science Seminar Information 0 credits
401-5680-00 KFoundations of Data Science Seminar
https://www.math.ethz.ch/sfs/news-and-events/data-science-seminar.html
4s hrsP. 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 Restricted registration - show details 6 credits4G
551-1299-00 GIntroduction to Bioinformatics
Lecture: Mo 15-17
Exercises: Mo 17-19
4 hrs
Mon15:15-17:00ML 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