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401-5680-00L DR , MSC D-ITET , D-INFK , D-MATH

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Foundations of Data Science Seminar

Lecturers: Prof. Dr. Peter L. Bühlmann, Prof. Dr. Hans-Andrea Loeliger, Prof. Dr. Amos Lapidoth, Prof. Dr. Helmut Bölcskei, Prof. em. Dr. Joachim M. Buhmann, Prof. em. Dr. Sara van de Geer, Prof. Dr. Thomas Hofmann, Prof. Dr. Marloes H. Maathuis, Prof. Dr. Andreas Krause, Prof. Dr. Fan Yang, Prof. Dr. Gunnar Rätsch, Dr. Caroline Uhler, Prof. Dr. Afonso Sousa Bandeira

VVZ CR n/a

Last Updated: 2026-02-05 15:35:15

Abstract

Research colloquium

Resources

Learning Materials (Links)

Main link
Information

General Information

Language: English
Levels: DR , MSC
Frequency: Semesterly recurring

Examination

Type: no performance assessment

Course Components

Type	Title	Time & Place	Hours
colloquium	Foundations of Data Science Seminar	No time listed	4 h semesterly

Offered In

Mathematics Master
- Additional Courses
Electrical Engineering and Information Technology Master
- Generally Accessible Seminars and Colloquia
Doctoral Department of Mathematics (More Information at: The list of courses (together with the allocated credit points) eligible for doctoral students is published each semester in the newsletter of the ZGSM. WARNING: Do not mistake ECTS credits for credit points for doctoral studies!)
- Colloquia
Doctoral Dep. of Information Technology and Electrical Engineering (More Information at: )
- Doctoral and Post-Doctoral Courses (A minimum of 12 ECTS credit points must be obtained during doctoral studies. The courses on offer below are only a small selection out of a much larger available number of courses. Please discuss your course selection with your PhD supervisor.)
Data Science Master
- Seminar