Valentina Boeva: Courses in Spring Semester 2023

Name Prof. Dr. Valentina Boeva
FieldBiomedical Informatics
Address
Professur für Biomedizininformatik
ETH Zürich, CAB G 32.2
Universitätstrasse 6
8092 Zürich
SWITZERLAND
E-mailvalentina.boeva@inf.ethz.ch
DepartmentComputer Science
RelationshipAssistant Professor (Tenure Track)

NumberTitleECTSHoursLecturers
252-0868-00LData Science for Medicine Information Restricted registration - show details 4 credits4V
252-0868-00 VData Science for Medicine4 hrs
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 credits1S
252-0945-00 SDoctoral Seminar Machine Learning1 hrs
Tue12:15-13:00CAB 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 Restricted registration - show details 5 credits2V + 2A
261-5120-00 VMachine Learning for Health Care2 hrs
Tue10:15-12:00HG D 7.2 »
J. Vogt, V. Boeva, M. Kuznetsova
261-5120-00 AMachine Learning for Health Care2 hrs
Tue13:15-14:00HG D 7.2 »
V. Boeva, J. Vogt, M. Kuznetsova
263-3300-00LData Science Lab Restricted registration - show details 14 credits9P
263-3300-00 PData Science Lab9 hrsA. Ilic, V. Boeva, R. Cotterell, J. Vogt, F. Yang
263-5351-00LMachine Learning for Genomics Information Restricted registration - show details
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 credits2V + 1U + 1A
263-5351-00 VMachine Learning for Genomics2 hrs
Wed10:15-12:00LFW C 5 »
V. Boeva
263-5351-00 UMachine Learning for Genomics1 hrs
Wed13:15-14:00ML F 39 »
V. Boeva
263-5351-00 AMachine Learning for Genomics1 hrsV. Boeva