Search result: Course units in Autumn Semester 2024
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. | ||||||
 Core Courses | ||||||
| Statistical Modelling | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|---|
| 401-3622-00L | Statistical Modelling | W | 7 credits | 4G | M. Kalisch | |
| 401-4623-00L | Time Series Analysis | W | 4 credits | 2G | F. Balabdaoui | |
| Applied Statistics | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
| 401-0625-01L | Applied Analysis of Variance and Experimental Design | W | 5 credits | 2V + 1U | L. Meier | |
| Mathematical Statistics The three core courses Fundamentals of Mathematical Statistics (401-3621-00L) and Likelihood and Regression Part 1 (401-8623-01L) and the latter's former version Likelihood Inference (401-8623-00L) are similar in content. Therefore only one of them can be recognised towards the Master’s degree in the core course area «Mathematical Statistics». | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
| 401-3621-00L | Fundamentals of Mathematical Statistics | W | 9 credits | 4V + 1U | J. Ziegel | |
| 401-8623-00L | Likelihood and Regression I (University of Zurich) No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH as an incoming student. UZH Module Code: STA402 Mind the enrolment deadlines at UZH: https://www.uzh.ch/cmsssl/en/studies/application/deadlines.html | W | 7 credits | 4G | University lecturers | |
| 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 | V. Tassion | |
| 401-3627-00L | High-Dimensional Statistics Does not take place this semester. | W | 4 credits | 2V | not available | |
| 401-4632-15L | Causality | W | 5 credits | 3G | J. Peters | |
| 401-3612-00L | Stochastic Simulation | W | 5 credits | 2V + 1U | F. Sigrist | |
| 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 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 | T. Schoch | |
| 401-3628-14L | Bayesian Statistics Does not take place this semester. | W | 4 credits | 2V | ||
| 401-3823-74L | Markov Processes | W | 3 credits | 1V | R. S. Gvalani | |
| 401-3901-00L | Linear & Combinatorial Optimization | W | 10 credits | 4V + 2U | R. Zenklusen | |
| 401-4944-20L | Mathematics of Data Science | W | 8 credits | 3V + 2U | A. Sousa Bandeira | |
| 401-4656-21L | AI in the Sciences and Engineering Aimed at students in a Master's Programme in Mathematics, Engineering and Physics. | W | 6 credits | 2V + 2U | S. Mishra | |
| 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, C. Cotrini Jimenez | |
Page
1
of
3
All