Suchergebnis: Lerneinheiten im Herbstsemester 2021
Data Science Master | ||||||
Seminar | ||||||
Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |
---|---|---|---|---|---|---|
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 KP | 2S | J. M. Buhmann, R. Cotterell, J. Vogt, F. Yang | |
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 KP | 2S | G. Alonso | |
263-5156-00L | Beyond iid Learning: Causality, Dynamics, and Interactions Number of participants limited to 60. 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 KP | 2S | M. Mühlebach, A. Krause, B. Schölkopf | |
401-5680-00L | Foundations of Data Science Seminar | E- | 0 KP | P. L. Bühlmann, A. Bandeira, H. Bölcskei, F. Yang | ||
401-3620-20L | Student Seminar in Statistics: Inference in Some Non-Standard Regression Problems Maximale Teilnehmerzahl: 24 Hauptsächlich für Studierende der Bachelor- und Master-Studiengänge Mathematik, welche nach der einführenden Lerneinheit 401-2604-00L Wahrscheinlichkeit und Statistik (Probability and Statistics) mindestens ein Kernfach oder Wahlfach in Statistik besucht haben. Das Seminar wird auch für Studierende der Master-Studiengänge Statistik bzw. Data Science angeboten. | W | 4 KP | 2S | F. Balabdaoui |
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