Julia Vogt: Lerneinheiten im Herbstsemester 2023 |
| Name | Frau Prof. Dr. Julia Vogt |
| Lehrgebiet | Medizinische Datenwissenschaft |
| Adresse | Professur für Medizin. Datenwiss. ETH Zürich, CAB G 16.2 Universitätstrasse 6 8092 Zürich SWITZERLAND |
| Telefon | +41 44 633 87 14 |
| julia.vogt@inf.ethz.ch | |
| URL | https://mds.inf.ethz.ch |
| Departement | Informatik |
| Beziehung | Assistenzprofessorin (Tenure Track) |
| Nummer | Titel | ECTS | Umfang | Dozierende | |
|---|---|---|---|---|---|
| 252-0945-17L | Doctoral Seminar Machine Learning (HS23)  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 KP | 1S | N. He, V. Boeva, J. M. Buhmann, R. Cotterell, T. Hofmann, A. Krause, G. Rätsch, M. Sachan, J. Vogt, F. Yang | |
| 263-3300-00L | Data Science Lab  Only for Data Science MSc, Programme Regulations 2017. | 14 KP | 9P | A. Ilic, V. Boeva, R. Cotterell, J. Vogt, F. Yang | |
| 263-3300-10L | Data Science Lab Only for Data Science MSc, Programme Regulations 2023. | 10 KP | A. Ilic, V. Boeva, R. Cotterell, J. Vogt, F. Yang | ||
| 263-5100-00L | Topics in Medical Machine Learning The deadline for deregistering expires at the end of the fourth week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar. | 2 KP | 2S | G. Rätsch, J. Vogt | |