Andreas Krause: Courses in Spring Semester 2022

Award: The Golden Owl
Name Prof. Dr. Andreas Krause
FieldComputer Science
Address
Institut für Maschinelles Lernen
ETH Zürich, OAT Y 13.1
Andreasstrasse 5
8092 Zürich
SWITZERLAND
Telephone+41 44 632 63 22
Fax+41 44 623 15 62
E-mailkrausea@ethz.ch
URLhttp://las.ethz.ch/krausea.html
DepartmentComputer Science
RelationshipFull Professor

NumberTitleECTSHoursLecturers
252-0220-00LIntroduction to Machine Learning Information Restricted registration - show details
Limited number of participants. Preference is given to students in programmes in which the course is being offered. All other students will be waitlisted. Please do not contact Prof. Krause for any questions in this regard. If necessary, please contact Link
8 credits4V + 2U + 1A
252-0220-00 VIntroduction to Machine Learning
Findet im ETA F 5 mit Videoübertragung ins ETF E 1 statt
4 hrs
Tue14:15-16:00ETA F 5 »
14:15-16:00ETF E 1 »
Wed14:15-16:00ETA F 5 »
14:15-16:00ETF E 1 »
A. Krause, F. Yang
252-0220-00 UIntroduction to Machine Learning2 hrs
Fri14:15-16:00ML D 28 »
A. Krause, F. Yang
252-0220-00 AIntroduction to Machine Learning
No presence required.
1 hrsA. Krause, F. Yang
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