Joachim M. Buhmann: Courses in Autumn Semester 2018

Name Prof. Dr. Joachim M. Buhmann
FieldInformatik (Information Science and Engineering)
Address
Institut für Maschinelles Lernen
ETH Zürich, CAB G 69.2
Universitätstrasse 6
8092 Zürich
SWITZERLAND
Telephone+41 44 632 31 24
Fax+41 44 632 15 62
E-mailjbuhmann@inf.ethz.ch
URLhttp://www.ml.inf.ethz.ch/
DepartmentComputer Science
RelationshipFull Professor

NumberTitleECTSHoursLecturers
252-0535-00LAdvanced Machine Learning Information 8 credits3V + 2U + 2A
252-0535-00 VAdvanced Machine Learning
Vorlesung:
Donnerstag im ML D 28 mit Videoübertragung im ML E 12
Freitag im HG F 1 mit Videoübertragung im HG F 3
3 hrs
Thu14-15ML D 28 »
14-15ML E 12 »
Fri08-10HG F 1 »
08-10HG F 3 »
J. M. Buhmann
252-0535-00 UAdvanced Machine Learning2 hrs
Wed13-15CAB G 61 »
15-17CAB G 61 »
Thu15-17CAB G 51 »
Fri13-15CAB G 61 »
J. M. Buhmann
252-0535-00 AAdvanced Machine Learning
Project Work, no fixed presence required.
2 hrsJ. M. Buhmann
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 credits2S
252-0945-00 SDoctoral Seminar Machine Learning2 hrs
Tue12-13CAB G 56 »
J. 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 credits2S
252-5051-00 SAdvanced Topics in Machine Learning Special students and auditors need a special permission from the lecturers.2 hrs
Tue16-18CAB G 56 »
Thu16-18CAB G 57 »
J. M. Buhmann, A. Krause, G. Rätsch