Andreas Krause: Courses in Spring Semester 2018

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
Previously called Learning and Intelligent Systems

Prof. Krause approves that students take distance exams, also if the exam will take place at a later time due to a different time zone of the alternative exam place.
To get Prof. Krause's signature on the distance exam form please send it to Rita Klute, rita.klute@inf.ethz.ch.
8 credits4V + 2U + 1A
252-0220-00 VIntroduction to Machine Learning
Die Vorlesung findet jeweils (Di 13-15 und Mi 13-15) im ML D 28 mit Videoübertragung im ML E 12 statt.
4 hrs
Tue13:15-15:00ML D 28 »
13:15-15:00ML E 12 »
Wed13:15-15:00ML D 28 »
13:15-15:00ML E 12 »
29.05.13:15-15:00HG E 3 »
13:15-15:00HG F 30 »
A. Krause
252-0220-00 UIntroduction to Machine Learning2 hrs
Mon15:15-17:00HG D 1.2 »
Tue15:15-17:00HG D 1.2 »
Wed15:15-17:00CAB G 11 »
Fri13:15-15:00ML D 28 »
A. Krause
252-0220-00 AIntroduction to Machine Learning
No presence required.
1 hrsA. Krause
252-0945-06LDoctoral Seminar Machine Learning (FS18) Restricted registration - show details
Only for Computer Science Ph.D. students.

This doctoral seminar is intended for PhD students affiliated with the Instutute 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
Mon09:15-11:00CAB H 52 »
J. M. Buhmann, T. Hofmann, A. Krause, G. Rätsch