Sara van de Geer: Lerneinheiten im Frühjahrssemester 2022 |
| Name | Frau Prof. em. Dr. Sara van de Geer |
| Lehrgebiet | Mathematik |
| Adresse | Seminar für Statistik (SfS) ETH Zürich, HG GO 14.2 Rämistrasse 101 8092 Zürich SWITZERLAND |
| Telefon | +41 44 632 22 52 |
| sara.vandegeer@stat.math.ethz.ch | |
| URL | http://stat.ethz.ch/~vsara |
| Departement | Mathematik |
| Beziehung | Professorin emerita |
| Nummer | Titel | ECTS | Umfang | Dozierende | |
|---|---|---|---|---|---|
| 401-4627-DRL | Empirical Process Theory and Applications  Only for ETH D-MATH doctoral students and for doctoral students from the Institute of Mathematics at UZH. The latter need to send an email to Jessica Bolsinger (info@zgsm.ch) with the course number. The email should have the subject „Graduate course registration (ETH)“. | 2 KP | 2V | S. van de Geer | |
| 401-4627-00L | Empirical Process Theory and Applications | 4 KP | 2V | S. van de Geer | |
| 401-5620-00L | Research Seminar on Statistics  | 0 KP | 1K | P. L. Bühlmann, M. H. Maathuis, N. Meinshausen, S. van de Geer, R. Furrer, L. Held, T. Hothorn, D. Kozbur, A. Sousa Bandeira, M. Wolf | |
| 401-5640-00L | ZüKoSt: Seminar on Applied Statistics | 0 KP | 1K | M. Kalisch, F. Balabdaoui, P. L. Bühlmann, R. Furrer, L. Held, T. Hothorn, M. H. Maathuis, M. Mächler, L. Meier, N. Meinshausen, M. Robinson, A. Sousa Bandeira, C. Strobl, S. van de Geer | |
| 401-5680-00L | Foundations of Data Science Seminar | 0 KP | P. L. Bühlmann, H. Bölcskei, A. Sousa Bandeira, S. van de Geer, F. Yang | ||