Valentina Boeva: Lehrveranstaltungen im Frühjahrssemester 2023

NameFrau Prof. Dr. Valentina Boeva
LehrgebietBiomedizininformatik
Adresse
Professur für Biomedizininformatik
ETH Zürich, CAB G 32.2
Universitätstrasse 6
8092 Zürich
SWITZERLAND
E-Mailvalentina.boeva@inf.ethz.ch
DepartementInformatik
BeziehungAssistenzprofessorin (Tenure Track)

NummerTitelECTSUmfangDozierende
252-0868-00LData Science for Medicine Information Belegung eingeschränkt - Details anzeigen 4 KP4V
252-0868-00 VData Science for Medicine4 Std.
03.04. - 07.04.08:15-18:00HG D 1.2 »
04.04. - 06.04.13:15-17:00CHN G 46 »
13:15-17:00LFW B 3 »
04.04.14:15-17:00HG F 26.1 »
05.04.13:15-17:00HG F 26.3 »
06.04.13:15-14:00HG E 22 »
14:15-17:00HG E 22 »
14:15-17:00HG E 23 »
17.04.08:15-12:00HG D 1.2 »
18.04. - 21.04.08:15-18:00HG D 1.2 »
18.04. - 20.04.13:15-14:00HG E 22 »
13:15-14:00HG F 26.1 »
13:15-17:00CHN G 46 »
13:15-17:00LFW B 3 »
14:15-17:00HG F 26.1 »
21.04.10:15-15:00CHN F 42 »
10:15-15:00CHN G 46 »
10:15-15:00HG E 33.3 »
10:15-15:00HG E 33.5 »
J. Vogt, V. Boeva, M. Kuznetsova
252-0945-16LDoctoral 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 KP1S
252-0945-00 SDoctoral Seminar Machine Learning1 Std.
Di12:15-13:00CAB G 56 »
N. He, V. Boeva, J. M. Buhmann, R. Cotterell, T. Hofmann, A. Krause, M. Sachan, J. Vogt, F. Yang
261-5120-00LMachine Learning for Health Care Information Belegung eingeschränkt - Details anzeigen 5 KP2V + 2A
261-5120-00 VMachine Learning for Health Care2 Std.
Di10:15-12:00HG D 7.2 »
J. Vogt, V. Boeva, M. Kuznetsova
261-5120-00 AMachine Learning for Health Care2 Std.
Di13:15-14:00HG D 7.2 »
V. Boeva, J. Vogt, M. Kuznetsova
263-3300-00LData Science Lab Belegung eingeschränkt - Details anzeigen 14 KP9P
263-3300-00 PData Science Lab9 Std.A. Ilic, V. Boeva, R. Cotterell, J. Vogt, F. Yang
263-5351-00LMachine Learning for Genomics Information Belegung eingeschränkt - Details anzeigen
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 KP2V + 1U + 1A
263-5351-00 VMachine Learning for Genomics2 Std.
Mi10:15-12:00LFW C 5 »
V. Boeva
263-5351-00 UMachine Learning for Genomics1 Std.
Mi13:15-14:00ML F 39 »
V. Boeva
263-5351-00 AMachine Learning for Genomics1 Std.V. Boeva