Sara van de Geer: Courses in Spring Semester 2019

Name Prof. em. Dr. Sara van de Geer
FieldMathematic
Address
Seminar für Statistik (SfS)
ETH Zürich, HG GO 14.2
Rämistrasse 101
8092 Zürich
SWITZERLAND
Telephone+41 44 632 22 52
E-mailsara.vandegeer@stat.math.ethz.ch
URLhttp://stat.ethz.ch/~vsara
DepartmentMathematics
RelationshipProfessor emerita

NumberTitleECTSHoursLecturers
401-3620-19LStudent Seminar in Statistics: Adversarial and Robust Machine Learning Restricted registration - show details
Number of participants limited to 22.

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.
4 credits2S
401-3620-00 SStudent Seminar in Statistics: Adversarial and Robust Machine Learning2 hrs
Mon15:15-17:00HG E 33.1 »
P. L. Bühlmann, M. H. Maathuis, N. Meinshausen, S. van de Geer
401-4627-00LEmpirical Process Theory with Applications in Statistics and Machine Learning Information 4 credits2V
401-4627-00 VEmpirical Process Theory with Applications in Statistics and Machine Learning2 hrs
Thu08:15-10:00HG E 5 »
S. van de Geer
401-5620-00LResearch Seminar on Statistics Information 0 credits2K
401-5620-00 KResearch Seminar on Statistics
**together with University of Zurich**

Starting time may vary (depending on whether the ZüKoSt also takes place).
For details see Link
2 hrs
Fri15:15-17:00HG G 19.1 »
P. L. Bühlmann, L. Held, T. Hothorn, D. Kozbur, M. H. Maathuis, N. Meinshausen, S. van de Geer, M. Wolf
401-5640-00LZüKoSt: Seminar on Applied Statistics Information 0 credits1K
401-5640-00 KZüKoSt: Seminar on Applied Statistics
**gemeinsam mit der Universität Zürich**
Zeit: 15:15-16:30
Nach besonderem Programm gemäss Ankündigung, Koordination M. Kalisch Tel. 044 632 3435
10s hrs
Fri15:15-17:00HG G 19.1 »
M. Kalisch, P. L. Bühlmann, R. Furrer, L. Held, T. Hothorn, M. H. Maathuis, M. Mächler, L. Meier, N. Meinshausen, M. Robinson, C. Strobl, S. van de Geer
401-5680-00LFoundations of Data Science Seminar Information 0 credits
401-5680-00 KFoundations of Data Science Seminar
4s hrsP. L. Bühlmann, H. Bölcskei, J. M. Buhmann, T. Hofmann, A. Krause, A. Lapidoth, H.‑A. Loeliger, M. H. Maathuis, N. Meinshausen, G. Rätsch, S. van de Geer
406-3621-AALFundamentals of Mathematical Statistics
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
10 credits21R
406-3621-AA RFundamentals of Mathematical Statistics
Self-study course. No presence required.
300s hrsS. van de Geer