Niao He: Courses in Spring Semester 2024 |
Name | Prof. Dr. Niao He |
Field | Computer Science |
Address | Professur für Informatik ETH Zürich, OAT Y 21.1 Andreasstrasse 5 8092 Zürich SWITZERLAND |
niao.he@inf.ethz.ch | |
URL | https://odi.inf.ethz.ch/ |
Department | Computer Science |
Relationship | Assistant Professor (Tenure Track) |
Number | Title | ECTS | Hours | Lecturers | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|
252-0945-18L | Doctoral Seminar Machine Learning (FS24) 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 The exact dates and location of the seminar will be scheduled separately and communicated through email. | 1 hrs | T. Hofmann, V. Boeva, J. M. Buhmann, R. Cotterell, N. He, G. Rätsch, M. Sachan, J. Vogt, F. Yang | ||||||||
252-5256-00L | AI for Science Seminar 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. | 2 credits | 2S | ||||||||
252-5256-00 S | AI for Science Seminar Kick-off Meeting: February 21, 2024; 12:15-14:00; CAB G 56 Saturday sessions: May 25 and June 1, 2024, from 08:30 - 13:00, OAT seminar room | 2 hrs |
| N. He, Z. Shen | |||||||
261-5110-00L | Optimization for Data Science | 10 credits | 3V + 2U + 4A | ||||||||
261-5110-00 V | Optimization for Data Science | 3 hrs |
| B. Gärtner, N. He | |||||||
261-5110-00 U | Optimization for Data Science | 2 hrs |
| B. Gärtner, N. He | |||||||
261-5110-00 A | Optimization for Data Science | 4 hrs | B. Gärtner, N. He | ||||||||
263-5255-00L | Foundations of Reinforcement Learning | 7 credits | 3V + 3A | ||||||||
263-5255-00 V | Foundations of Reinforcement Learning | 3 hrs |
| N. He | |||||||
263-5255-00 A | Foundations of Reinforcement Learning | 3 hrs | N. He |