The spring semester 2021 will take place online until further notice. Exceptions: Courses that can only be carried out with on-site presence. Please note the information provided by the lecturers.

Thomas Hofmann: Courses in Spring Semester 2019

Name Prof. Dr. Thomas Hofmann
FieldData Analytics
Dep. Informatik
ETH Zürich, CAB F 48.1
Universitätstrasse 6
8092 Zürich
DepartmentComputer Science
RelationshipFull Professor

252-0945-08LDoctoral Seminar Machine Learning (FS19) Restricted registration - show details
Only for Computer Science Ph.D. students.

This doctoral seminar is intended for PhD students affiliated with the Instutute 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 credits2S
252-0945-00 SDoctoral Seminar Machine Learning2 hrs
Tue12-13CAB G 52 »
J. M. Buhmann, T. Hofmann, A. Krause, G. Rätsch
252-3005-00LNatural Language Understanding Information Restricted registration - show details
Number of participants limited to 200.
4 credits2V + 1U
252-3005-00 VNatural Language Understanding2 hrs
Mon10-12CAB G 11 »
M. Ciaramita, T. Hofmann
252-3005-00 UNatural Language Understanding1 hrs
Mon13-14HG E 5 »
M. Ciaramita, T. Hofmann
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
Fri08-10HG E 7 »
T. Hofmann
263-0008-00 UComputational Intelligence Lab2 hrs
Thu15-17CAB G 51 »
16-18CHN C 14 »
Fri15-17CAB G 61 »
18.04.16-17CHN C 14 »
T. Hofmann
263-0008-00 AComputational Intelligence Lab
No presence required.
3 hrsT. Hofmann
401-5680-00LFoundations of Data Science Seminar Information 0 credits
401-5680-00 KFoundations of Data Science Seminar
4s hrsP. L. Bühlmann, 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