Andreas Krause: Course units in Autumn 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
252-0945-07LDoctoral Seminar Machine Learning (HS18) 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 credits2SJ. M. Buhmann, A. Krause, G. Rätsch
252-5051-00LAdvanced Topics in Machine Learning Information Restricted registration - show details
Number of participants limited to 40.

The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.
2 credits2SJ. M. Buhmann, A. Krause, G. Rätsch
263-3300-00LData Science Lab Information Restricted registration - show details
Only for Data Science MSc.
14 credits9PA. Krause, C. Zhang
263-4500-00LAdvanced Algorithms Information 6 credits2V + 2U + 1AM. Ghaffari, A. Krause
263-4500-10LAdvanced Algorithms (with Project) Information Restricted registration - show details
Only for Data Science MSc.
8 credits2V + 2U + 2P + 1AM. Ghaffari, A. Krause
263-5210-00LProbabilistic Artificial Intelligence Information 4 credits2V + 1UA. Krause