Sara van de Geer: Course units 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 credits2SP. 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 credits2VS. van de Geer
401-5620-00LResearch Seminar on Statistics Information 0 credits2KP. 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 credits1KM. 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 creditsP. 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 credits21RS. van de Geer