Joachim M. Buhmann: Courses in Autumn Semester 2023

Name Prof. Dr. Joachim M. Buhmann
FieldComputer Science (Information Science and Engineering)
Address
Institut für Maschinelles Lernen
ETH Zürich, OAT Y 13.2
Andreasstrasse 5
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 10 credits3V + 2U + 4A
252-0535-00 VAdvanced Machine Learning
Freitag 8-10 HG F7 mit Videoübertragung ins HG F5.
3 hrs
Thu15:15-16:00ETA F 5 »
Fri08:15-10:00HG F 5 »
08:15-10:00HG F 7 »
J. M. Buhmann
252-0535-00 UAdvanced Machine Learning
Tutorials:
Please attend only the tutorial assigned to you by the first letter of your surname. We do not attend requests to change tutorials.

Wed 14-16 - CAB G 61 → surname A-L
Fri 14-16 - CHN C 14 → surname M-Z

All tutorial sessions are identical.
2 hrs
Wed14:15-16:00CAB G 61 »
Fri14:15-16:00CHN C 14 »
J. M. Buhmann
252-0535-00 AAdvanced Machine Learning
Project Work, no fixed presence required.
4 hrsJ. M. Buhmann
252-0945-17LDoctoral Seminar Machine Learning (HS23) Restricted registration - show details
Only for Computer Science Ph.D. students.

This doctoral seminar is intended for PhD students affiliated with the Institute 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 credits1S
252-0945-00 SDoctoral Seminar Machine Learning1 hrs
Tue12:15-13:00CAB G 52 »
N. He, V. Boeva, J. M. Buhmann, R. Cotterell, T. Hofmann, A. Krause, G. Rätsch, M. Sachan, J. Vogt, F. Yang
252-5051-00LAdvanced Topics in Machine Learning Restricted registration - show details
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
Tue16:15-18:00CAB G 56 »
Thu16:15-18:00CAB G 57 »
J. M. Buhmann, R. Cotterell, M. El-Assady, N. He, F. Yang