Thomas Hofmann: Courses in Spring Semester 2020

Name Prof. Dr. Thomas Hofmann
FieldData Analytics
Address
Dep. Informatik
ETH Zürich, CAB F 48.1
Universitätstrasse 6
8092 Zürich
SWITZERLAND
E-mailthomas.hofmann@inf.ethz.ch
URLhttp://www.inf.ethz.ch/department/faculty-profs/person-detail.html?persid=148752
DepartmentComputer Science
RelationshipFull Professor

NumberTitleECTSHoursLecturers
252-0945-10LDoctoral Seminar Machine Learning (FS20)
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
263-0008-00LComputational Intelligence Lab
Only for master students, otherwise a special permission by the study administration of D-INFK is required.
8 credits2V + 2U + 3A
263-0008-00 VComputational Intelligence Lab2 hrs
Fri08:00-10:00ER SA TZ »
08:15-10:00HG E 7 »
T. Hofmann
263-0008-00 UComputational Intelligence Lab2 hrs
Thu14:15-16:00CHN C 14 »
Fri15:15-17:00CAB G 61 »
T. Hofmann
263-0008-00 AComputational Intelligence Lab
No presence required.
3 hrsT. Hofmann
266-0100-00LCapstone Project Restricted registration - show details
Only for DAS in Data Science.
8 credits17A
266-0100-00 ACapstone Project240s hrsF. Perez Cruz, O. Verscheure, T. Hofmann
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
3s 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, C. Uhler, S. van de Geer, F. Yang