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 2015

Name Prof. Dr. Andreas Krause
FieldComputer Science
Address
Institut für Maschinelles Lernen
ETH Zürich, CAB G 81.2
Universitätstrasse 6
8092 Zürich
SWITZERLAND
Award: The Golden Owl
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
252-0945-01LDoctoral Seminar Machine Learning (HS15) Restricted registration - show details
Only for Computer Science Ph.D. students.
2 credits2S
252-0945-00 SDoctoral Seminar Machine Learning2 hrs
Mon09-11CAB H 52 »
J. M. Buhmann, A. Krause
252-5051-00LAdvanced Topics in Machine Learning Information Restricted registration - show details 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 »
Thu16-18CHN G 22 »
J. M. Buhmann, T. Hofmann, A. Krause
263-5200-00LData Mining: Learning from Large Data Sets Information 4 credits2V + 1U
263-5200-00 VData Mining: Learning from Large Data Sets2 hrs
Thu13-15HG D 1.1 »
A. Krause
263-5200-00 UData Mining: Learning from Large Data Sets1 hrs
Thu15-16HG D 3.2 »
16-17HG D 3.2 »
A. Krause
263-5210-00LProbabilistic Artificial Intelligence Information 4 credits2V + 1U
263-5210-00 VProbabilistic Artificial Intelligence2 hrs
Fri10-12CHN C 14 »
A. Krause
263-5210-00 UProbabilistic Artificial Intelligence1 hrs
Fri13-14CHN C 14 »
14-15CHN C 14 »
A. Krause