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: Course units 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 credit2SJ. 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 credits2SJ. M. Buhmann, T. Hofmann, A. Krause, G. Rätsch
263-5200-00LData Mining: Learning from Large Data Sets Information 4 credits2V + 1UA. Krause, Y. Levy
263-5210-00LProbabilistic Artificial Intelligence Information 4 credits2V + 1UA. 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 credit3SR. Knutti, C. Bratrich, S. Brusoni, I. Burgert, A. Cabello Llamas, F. Gramazio, G. Grote, A. Krause, M. Meboldt, A. R. Studart, A. Vaterlaus