Julia Vogt: Lerneinheiten im Frühjahrssemester 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 | |
|---|---|---|---|---|---|
| 252-0868-00L | Data Science for Medicine   | 4 KP | 4V | J. Vogt, V. Boeva, M. Kuznetsova | |
| 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 KP | 1S | N. He, V. Boeva, J. M. Buhmann, R. Cotterell, T. Hofmann, A. Krause, M. Sachan, J. Vogt, F. Yang | |
| 261-5120-00L | Machine Learning for Health Care | 5 KP | 2V + 2A | V. Boeva, J. Vogt, M. Kuznetsova | |
| 263-3300-00L | Data Science Lab | 14 KP | 9P | A. Ilic, V. Boeva, R. Cotterell, J. Vogt, F. Yang | |