Search result: Courses in Spring Semester 2023

Data Science Master Information
Seminar
NumberTitleTypeECTSHoursLecturers
261-5113-00LComputational Challenges in Medical Genomics Information Restricted registration - show details W2 credits2S
261-5113-00 SComputational Challenges in Medical Genomics2 hrs
Mon14:15-16:00CAB G 57 »
A. Kahles
263-5002-00LGenerative Visual Models Information Restricted registration - show details
The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.
W4 credits2S + 2A
263-5002-00 SGenerative Visual Models2 hrs
Wed12:15-14:00CAB G 56 »
T. Hofmann
263-5002-00 AGenerative Visual Models2 hrsT. Hofmann
263-5225-00LAdvanced Topics in Machine Learning and Data Science Information Restricted registration - show details
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.
W2 credits2S
263-5225-00 SAdvanced Topics in Machine Learning and Data Science2 hrs
Wed16:15-18:00LFW E 13 »
F. Perez Cruz
401-3620-22LStudent Seminar in Statistics: Causality Restricted registration - show details
Number of participants limited to 76.
Mainly for students from the Mathematics Bachelor and Master Programmes who, in addition to the introductory course unit 401-2604-00L Probability and Statistics, have heard at least one core or elective course in statistics. Also offered in the Master Programmes Statistics resp. Data Science.
W4 credits2S
401-3620-00 SStudent Seminar in Statistics: Causality
The seminar is offered in two groups.
2 hrs
Mon16:15-18:00HG E 33.1 »
16:15-18:00ML F 40 »
P. L. Bühlmann, N. Meinshausen
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