Search result: Course units in Autumn Semester 2023
Statistics Master  The following courses belong to the curriculum of the Master's Programme in Statistics. The corresponding credits do not count as external credits even for course units where an enrolment at ETH Zurich is not possible. | ||||||
 Subject Specific Electives | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|---|
| 401-3601-00L | Probability Theory At most one of the three course units (Bachelor Core Courses) 401-3461-00L Functional Analysis I 401-3531-00L Differential Geometry I 401-3601-00L Probability Theory can be recognised for the Master's degree in Mathematics or Applied Mathematics. In this case, you cannot change the category assignment by yourself in myStudies but must take contact with the Study Administration Office (www.math.ethz.ch/studiensekretariat) after having received the credits. Moreover, 401-3601-00L Probability Theory can only be recognised for the Master Programme in Mathematics if neither 401-3642-00L Brownian Motion and Stochastic Calculus nor 401-3602-00L Applied Stochastic Processes has been recognised for the Bachelor Programme. | W | 9 credits | 4V + 1U | I. Kortchemski | |
| 401-3627-00L | High-Dimensional Statistics | W | 4 credits | 2V | P. L. Bühlmann | |
| 401-4632-15L | Causality | W | 4 credits | 2G | J. Peters | |
| 401-3612-00L | Stochastic Simulation Does not take place this semester. | W | 5 credits | 2V + 1U | ||
| 401-4633-00L | Data Analytics in Organisations and Business | W | 5 credits | 2V + 1U | I. Flückiger | |
| 401-6217-00L | Using R for Data Analysis and Graphics (Part II)  | W | 1.5 credits | 1G | M. Mächler | |
| 401-0627-00L | Smoothing and Nonparametric Regression with Examples | W | 4 credits | 2G | S. Beran-Ghosh | |
| 447-6289-00L | Sampling Surveys Does not take place this semester. Special Students "University of Zurich (UZH)" in the Master Program in Biostatistics at UZH cannot register for this course unit electronically. Forward the lecturer's written permission to attend to the Registrar's Office. Alternatively, the lecturer may also send an email directly to registrar@ethz.ch. The Registrar's Office will then register you for the course. | W | 2 credits | 1G | not available | |
| 401-3628-14L | Bayesian Statistics | W | 4 credits | 2V | F. Sigrist | |
| 401-3901-00L | Linear & Combinatorial Optimization | W | 10 credits | 4V + 2U | R. Zenklusen | |
| 401-4944-20L | Mathematics of Data Science | W | 8 credits | 4G + 1A | A. Sousa Bandeira, A. Maillard | |
| 401-3931-00L | Responsible Machine Learning with Insurance Applications | W | 4 credits | 2G | M. Mayer, C. Lorentzen-Geiser | |
| 252-0535-00L | Advanced Machine Learning | W | 10 credits | 3V + 2U + 4A | J. M. Buhmann | |
| 252-3005-00L | Natural Language Processing | W | 7 credits | 3V + 3U + 1A | R. Cotterell | |
| 227-0423-00L | Neural Network Theory | W | 4 credits | 2V + 1U | H. Bölcskei | |
| 263-3210-00L | Deep Learning | W | 8 credits | 3V + 2U + 2A | T. Hofmann, N. Perraudin | |
| 263-5210-00L | Probabilistic Artificial Intelligence | W | 8 credits | 3V + 2U + 2A | A. Krause | |
| 263-5300-00L | Guarantees for Machine Learning | W | 7 credits | 3V + 1U + 2A | F. Yang | |
| 263-2400-00L | Reliable and Trustworthy Artificial Intelligence | W | 6 credits | 2V + 2U + 1A | M. Vechev | |
| 263-5056-00L | Applications of Deep Learning on Graphs | W | 4 credits | 2G + 1A | M. Kuznetsova, G. Rätsch | |
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