Search result: Course units in Autumn Semester 2022
Data Science Master  | ||||||
 Seminar | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|---|
| 252-5051-00L | Advanced Topics in Machine Learning  Number of participants limited to 40. 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. | W | 2 credits | 2S | J. M. Buhmann, R. Cotterell, N. He, F. Yang, M. El-Assady | |
| 263-3504-00L | Hardware Acceleration for Data Processing Number of participants limited to 24. 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. | W | 2 credits | 2S | G. Alonso | |
| 263-3713-00L | Advanced Topics in Human-Centric Computer Vision Numbers of participants limited to 20. 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 attend the seminar, will officially fail the seminar. | W | 2 credits | 2S | O. Hilliges | |
| 263-5100-00L | Topics in Medical Machine Learning Number of participants limited to 18. 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. | W | 2 credits | 2S | G. Rätsch, J. Vogt | |
| 401-3620-20L | Student Seminar in Statistics: Inference in Some Non-Standard Regression Problems Number of participants limited to 24. 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. | W | 4 credits | 2S | F. Balabdaoui | |
| 401-5680-00L | Foundations of Data Science Seminar | E- | 0 credits | P. L. Bühlmann, H. Bölcskei, A. Sousa Bandeira, S. van de Geer, F. Yang | ||
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