Thomas Hofmann: Courses in Autumn Semester 2017 |
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 | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|
252-0341-01L | Information Retrieval | 4 credits | 2V + 1U | ||||||||
252-0341-01 V | Information Retrieval Does not take place this semester. | 2 hrs | T. Hofmann | ||||||||
252-0341-01 U | Information Retrieval Does not take place this semester. | 1 hrs | T. Hofmann | ||||||||
252-0945-05L | Doctoral Seminar Machine Learning (HS17) Only for Computer Science Ph.D. students. | 1 credit | 2S | ||||||||
252-0945-00 S | Doctoral Seminar Machine Learning | 2 hrs |
| J. M. Buhmann, T. Hofmann, A. Krause, G. Rätsch | |||||||
252-5051-00L | Advanced Topics in Machine Learning Number of participants limited to 40. | 2 credits | 2S | ||||||||
252-5051-00 S | Advanced Topics in Machine Learning | 2 hrs |
| J. M. Buhmann, T. Hofmann, A. Krause, G. Rätsch | |||||||
263-3210-00L | Deep Learning Number of participants limited to 300. | 4 credits | 2V + 1U | ||||||||
263-3210-00 V | Deep Learning | 2 hrs |
| T. Hofmann | |||||||
263-3210-00 U | Deep Learning | 1 hrs |
| T. Hofmann | |||||||
851-0147-03L | Relevance and Information Particularly suitable for students of D-INFK | 3 credits | 2S | ||||||||
851-0147-03 S | Bedeutung und Information | 2 hrs |
| M. Hampe, T. Hofmann |