Joachim M. Buhmann: Courses in Autumn Semester 2020

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
The lectures will mostly be given in a lecture hall with limited attendance (at most 50% of lecture hall capacity). It will be possible to join remotely via zoom with acccess to slides, whiteboard, and speaker camera. Students can interact, e.g. ask questions, physically as well as digitally. The lectures will be recorded via zoom’s recording functionality.
3 hrs
Thu15:15-16:00ETA F 5 »
Fri08:15-10:00ETA F 5 »
J. M. Buhmann, C. Cotrini Jimenez
252-0535-00 UAdvanced Machine Learning2 hrs
Wed14:15-16:00CAB G 61 »
16:15-18:00CAB G 61 »
Thu16:15-18:00ML F 34 »
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
252-0945-11LDoctoral Seminar Machine Learning (HS20) 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 59 »
J. M. Buhmann, T. Hofmann, 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 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 59 »
J. M. Buhmann, G. Rätsch, J. Vogt, F. Yang
401-5680-00LFoundations of Data Science Seminar Information 0 credits
401-5680-00 KFoundations of Data Science Seminar
4s hrsP. L. Bühlmann, A. Bandeira, H. Bölcskei, J. M. Buhmann, T. Hofmann, A. Krause, A. Lapidoth, H.‑A. Loeliger, M. H. Maathuis, G. Rätsch, C. Uhler, S. van de Geer, F. Yang