| Number | Title | ECTS | Hours | Lecturers |
|---|
| 401-0603-00L | Stochastics (Probability and Statistics)   | 4 credits | 2V + 1U | M. H. Maathuis |
| Abstract | This class covers the following concepts: random variables, probability, discrete and continuous distributions, joint and conditional probabilities and distributions, the law of large numbers, the central limit theorem, descriptive statistics, statistical inference, inference for normally distributed data, point estimation, and two-sample tests. |
| Learning objective | Knowledge of the basic principles of probability and statistics. |
| Content | Introduction to probability theory, some basic principles from mathematical statistics and basic methods for applied statistics. |
| Lecture notes | Lecture notes |
| Literature | Lecture notes |
| 401-5620-00L | Research Seminar on Statistics | 0 credits | 1K | P. L. Bühlmann,
M. H. Maathuis,
N. Meinshausen,
S. van de Geer,
A. Bandeira,
R. Furrer,
L. Held,
T. Hothorn,
D. Kozbur,
C. Uhler,
M. Wolf |
| Abstract | Research colloquium |
| Learning objective | |
| 401-5640-00L | ZüKoSt: Seminar on Applied Statistics | 0 credits | 1K | M. Kalisch,
A. Bandeira,
P. L. Bühlmann,
R. Furrer,
L. Held,
T. Hothorn,
M. H. Maathuis,
M. Mächler,
L. Meier,
M. Robinson,
C. Strobl,
C. Uhler,
S. van de Geer |
| Abstract | About 5 talks on applied statistics. |
| Learning objective | See how statistical methods are applied in practice. |
| Content | There will be about 5 talks on how statistical methods are applied in practice. |
| Prerequisites / Notice | This is no lecture. There is no exam and no credit points will be awarded. The current program can be found on the web:
http://stat.ethz.ch/events/zukost
Course language is English or German and may depend on the speaker. |
| 401-5680-00L | Foundations of Data Science Seminar | 0 credits | | P. L. Bühlmann,
A. Bandeira,
H. Bölcskei,
J. M. Buhmann,
T. Hofmann,
A. Krause,
A. Lapidoth,
H.‑A. Loeliger,
M. H. Maathuis,
G. Rätsch,
C. Uhler,
S. van de Geer,
F. Yang |
| Abstract | Research colloquium |
| Learning objective | |
