Valentina Boeva: Lerneinheiten im Frühjahrssemester 2023 |
| Name | Frau Prof. Dr. Valentina Boeva |
| Lehrgebiet | Biomedizininformatik |
| Adresse | Professur für Biomedizininformatik ETH Zürich, CAB G 32.2 Universitätstrasse 6 8092 Zürich SWITZERLAND |
| Telefon | +41 44 633 66 87 |
| valentina.boeva@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 | |
| 263-5351-00L | Machine Learning for Genomics The deadline for deregistering expires at the end of the third week of the semester. Students who are still registered after that date, but do not provide project work, do not participate in paper presentation sessions and/or do not show up for the exam, will officially fail the course. | 5 KP | 2V + 1U + 1A | V. Boeva | |