Thomas Hofmann: Courses in Spring Semester 2023 |
Name | Prof. Dr. Thomas Hofmann |
Field | Data Analytics |
Address | Dep. Informatik ETH Zürich, CAB F 48.1 Universitätstrasse 6 8092 Zürich SWITZERLAND |
thomas.hofmann@inf.ethz.ch | |
URL | http://www.inf.ethz.ch/department/faculty-profs/person-detail.html?persid=148752 |
Department | Computer Science |
Relationship | Full Professor |
Number | Title | ECTS | Hours | Lecturers | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|
252-0055-00L | Information Theory | 4 credits | 2V + 1U | ||||||||
252-0055-00 V | Information Theory | 2 hrs |
| T. Hofmann | |||||||
252-0055-00 U | Information Theory | 1 hrs |
| T. Hofmann | |||||||
252-0945-16L | Doctoral Seminar Machine Learning (FS23) 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 credits | 1S | ||||||||
252-0945-00 S | Doctoral Seminar Machine Learning | 1 hrs |
| N. He, V. Boeva, J. M. Buhmann, R. Cotterell, T. Hofmann, A. Krause, M. Sachan, J. Vogt, F. Yang | |||||||
263-0008-00L | Computational Intelligence Lab Only for master students, otherwise a special permission by the study administration of D-INFK is required. | 8 credits | 2V + 2U + 3A | ||||||||
263-0008-00 V | Computational Intelligence Lab | 2 hrs |
| T. Hofmann | |||||||
263-0008-00 U | Computational Intelligence Lab | 2 hrs |
| T. Hofmann | |||||||
263-0008-00 A | Computational Intelligence Lab No presence required. | 3 hrs | T. Hofmann | ||||||||
263-5002-00L | Generative Visual Models The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar. | 4 credits | 2S + 2A | ||||||||
263-5002-00 S | Generative Visual Models | 2 hrs |
| T. Hofmann | |||||||
263-5002-00 A | Generative Visual Models | 2 hrs | T. Hofmann |