Autumn Semester 2020 takes place in a mixed form of online and classroom teaching.
Please read the published information on the individual courses carefully.

Andreas Krause: Courses in Autumn Semester 2017

Name Prof. Dr. Andreas Krause
FieldComputer Science
Institut für Maschinelles Lernen
ETH Zürich, CAB G 81.2
Universitätstrasse 6
8092 Zürich
Award: The Golden Owl
Telephone+41 44 632 63 22
Fax+41 44 623 15 62
DepartmentComputer Science
RelationshipFull Professor

252-0945-05LDoctoral Seminar Machine Learning (HS17) Restricted registration - show details
Only for Computer Science Ph.D. students.
1 credit2S
252-0945-00 SDoctoral Seminar Machine Learning2 hrs
Tue12-13CAB G 56 »
J. M. Buhmann, T. Hofmann, A. Krause, G. Rätsch
252-5051-00LAdvanced Topics in Machine Learning Information Restricted registration - show details
Number of participants limited to 40.
2 credits2S
252-5051-00 SAdvanced Topics in Machine Learning Special students and auditors need a special permission from the lecturers.2 hrs
Tue16-18CAB H 52 »
Thu16-18CAB G 57 »
J. M. Buhmann, T. Hofmann, A. Krause, G. Rätsch
263-5200-00LData Mining: Learning from Large Data Sets Information 4 credits2V + 1U
263-5200-00 VData Mining: Learning from Large Data Sets2 hrs
Thu10-12HG F 1 »
21.09.10-12HG E 5 »
A. Krause, Y. Levy
263-5200-00 UData Mining: Learning from Large Data Sets1 hrs
Thu15-16HG D 3.2 »
16-17HG D 3.2 »
A. Krause, Y. Levy
263-5210-00LProbabilistic Artificial Intelligence Information 4 credits2V + 1U
263-5210-00 VProbabilistic Artificial Intelligence
Am 22. und 29. September findet die Vorlesung in HG E 7 statt!

On September 22 and 29., the lecture will take place in room HG E 7.

Ab dem 06. Oktober findet die Vorlesung im HG E 7 statt mit Videoübertragung im HG E 3.
2 hrs
Fri10-12HG E 3 »
10-12HG E 7 »
A. Krause
263-5210-00 UProbabilistic Artificial Intelligence1 hrs
Fri13-14CHN C 14 »
14-15CHN C 14 »
A. Krause
701-0901-00LETH Week 2017: Manufacturing the Future Restricted registration - show details
All ETH Bachelor¿s, Master¿s and exchange students can take part in the ETH week. No prior knowledge is required
1 credit3S
701-0901-00 SETH Week 2017: Manufacturing the Future Special students and auditors need a special permission from the lecturers.
The ETH-Week 2017 takes place from Sunday September 10 through Friday September 15. Registration is open from 1 April through May 28.
45s hrsR. Knutti, C. Bratrich, S. Brusoni, I. Burgert, A. Cabello Llamas, F. Gramazio, G. Grote, A. Krause, M. Meboldt, A. R. Studart, A. Vaterlaus