Joachim M. Buhmann: Courses in Spring Semester 2021

Name Prof. Dr. Joachim M. Buhmann
FieldInformatik (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
252-0055-00LInformation Theory Information 4 credits2V + 1U
252-0055-00 VInformationstheorie2 hrs
Thu14:15-16:00ML F 36 »
J. M. Buhmann
252-0055-00 UInformationstheorie1 hrs
Wed/2w16:15-18:00HG D 7.1 »
J. M. Buhmann
252-0526-00LStatistical Learning Theory Information 8 credits3V + 2U + 2A
252-0526-00 VStatistical Learning Theory3 hrs
Mon14:15-16:00HG G 3 »
Tue17:15-18:00HG F 5 »
J. M. Buhmann, C. Cotrini Jimenez
252-0526-00 UStatistical Learning Theory2 hrs
Mon16:15-18:00HG G 3 »
J. M. Buhmann, C. Cotrini Jimenez
252-0526-00 AStatistical Learning Theory2 hrsJ. M. Buhmann, C. Cotrini Jimenez
252-0945-12LDoctoral Seminar Machine Learning (FS21)
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 »
N. He, M. Sachan, J. M. Buhmann, T. Hofmann, A. Krause, G. Rätsch
401-5680-00LFoundations of Data Science Seminar Information 0 credits
401-5680-00 KFoundations of Data Science Seminar
https://www.math.ethz.ch/sfs/news-and-events/data-science-seminar.html
4s hrsP. L. Bühlmann, A. Bandeira, H. Bölcskei, J. M. Buhmann, T. Hofmann, A. Krause, A. Lapidoth, H.‑A. Loeliger, M. H. Maathuis, N. Meinshausen, G. Rätsch, S. van de Geer, F. Yang