Joachim M. Buhmann: Courses in Autumn Semester 2022

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 F1 mit Videoübertragung ins HG F3
3 hrs
Thu15:15-16:00ETA F 5 »
Fri08:15-10:00HG F 1 »
08:15-10:00HG F 3 »
J. M. Buhmann, C. Cotrini Jimenez
252-0535-00 UAdvanced Machine Learning
Tutorials and QA sessions:
Please attend only the tutorial assigned to you by the first letter of your surname. In case of collisions, please attend via Zoom the last tutorial of the week or watch its recording later. We do not attend requests to change tutorials. QA sessions will happen fully remotely with no recording happening.

Wed 14-16 - CAB 61 - surname A-L
Fri 14-16 - CAB G1 - surname M-Z (offered also via Zoom to anyone)
Thu 17-18 (QA session) - Fully virtual through Zoom

All tutorial sessions are identical.
2 hrs
Wed14:15-16:00CAB G 61 »
Fri14:15-16:00CAB G 61 »
J. M. Buhmann, C. Cotrini Jimenez
252-0535-00 AAdvanced Machine Learning
Project Work, no fixed presence required.
4 hrsJ. M. Buhmann, C. Cotrini Jimenez
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 fourth 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, N. He, F. Yang, M. El-Assady