Search result: Course units in Autumn Semester 2024
Data Science Master  | ||||||
 Master Studies (Programme Regulations 2023) | ||||||
| Electives | ||||||
| Subject-Specific Electives | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|---|
| 261-5130-00L | Research in Data Science  | W | 6 credits | 13A | Professors | |
| 252-3005-00L | Natural Language Processing | W | 7 credits | 3V + 3U + 1A | R. Cotterell | |
| 263-2400-00L | Reliable and Trustworthy Artificial Intelligence | W | 6 credits | 2V + 2U + 1A | M. Vechev | |
| 263-3210-00L | Deep Learning | W | 8 credits | 3V + 2U + 2A | T. Hofmann | |
| 263-5005-00L | Artificial Intelligence in Education | W | 3 credits | 1V + 0.5U | M. Sachan | |
| 263-5056-00L | Applications of Deep Learning on Graphs Does not take place this semester. | W | 4 credits | 2G + 1A | G. Rätsch | |
| 263-5300-00L | Guarantees for Machine Learning Does not take place this semester. | W | 7 credits | 3V + 1U + 2A | F. Yang | |
| 263-5351-00L | Machine Learning for Genomics | W | 6 credits | 2V + 2U + 1A | V. Boeva | |
| 263-5902-00L | Computer Vision | W | 8 credits | 3V + 1U + 3A | M. Pollefeys, S. Tang | |
| 227-0155-00L | Machine Learning on Microcontrollers Registration in this class requires the permission of the instructors. Preference is given to students in the MSc EEIT. | W | 6 credits | 4G | M. Magno | |
| 227-0417-00L | Information Theory I | W | 6 credits | 4G | A. Lapidoth | |
| 227-0560-00L | Computer Vision and Artificial Intelligence for Autonomous Cars Up until FS2022 offered as Deep Learning for Autonomous Driving | W | 6 credits | 3V + 2P | C. Sakaridis | |
| 227-0689-00L | System Identification | W | 4 credits | 2V + 1U | R. Smith | |
| 401-0625-01L | Applied Analysis of Variance and Experimental Design | W | 5 credits | 2V + 1U | L. Meier | |
| 401-3054-14L | Probabilistic Methods in Combinatorics | W | 5 credits | 2V + 1U | B. Sudakov | |
| 401-3055-64L | Algebraic Methods in Combinatorics Does not take place this semester. | W | 5 credits | 2V + 1U | not available | |
| 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 | |
| 401-3612-00L | Stochastic Simulation | W | 5 credits | 2V + 1U | F. Sigrist | |
| 401-3622-00L | Statistical Modelling | W | 7 credits | 4G | M. Kalisch | |
| 401-3621-00L | Fundamentals of Mathematical Statistics | W | 9 credits | 4V + 1U | J. Ziegel | |
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