Search result: Course units in Autumn Semester 2023
DAS in Data Science  | ||||||
 Core Courses | ||||||
| Foundations Courses | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|---|
| 227-0105-00L | Introduction to Estimation and Machine Learning  | W | 6 credits | 4G | H.‑A. Loeliger | |
| Capstone Project | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
| 266-0100-00L | Capstone Project | O | 8 credits | 17A | Supervisors | |
| Specialisation Track | ||||||
| Hardware for Machine Learning | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
| 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, L. Benini | |
| Image Analysis & Computer Vision | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
| 263-5902-00L | Computer Vision | W | 8 credits | 3V + 1U + 3A | M. Pollefeys, S. Tang, F. Yu | |
| Neural Information Processing | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
| 227-0421-00L | Learning in Deep Artificial and Biological Neuronal Networks | W | 4 credits | 3G | B. Grewe | |
| 227-1033-00L | Neuromorphic Engineering I Registration in this class requires the permission of the instructors. Class size will be limited to available lab spots. Preference is given to students that require this class as part of their major. Information for UZH students: Enrolment to this course unit only possible at ETH. No enrolment to module INI404 at UZH. Please mind the ETH enrolment deadlines for UZH students: Link | W | 6 credits | 2V + 3U | T. Delbrück, S.‑C. Liu, M. Payvand | |
| Statistics | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
| 401-0625-01L | Applied Analysis of Variance and Experimental Design | W | 5 credits | 2V + 1U | L. Meier | |
| 401-0649-00L | Applied Statistical Regression | W | 5 credits | 2V + 1U | M. Dettling | |
| 401-3612-00L | Stochastic Simulation Does not take place this semester. | W | 5 credits | 2V + 1U | ||
| 401-3621-00L | Fundamentals of Mathematical Statistics | W | 9 credits | 4V + 1U | S. van de Geer | |
| 401-3622-00L | Statistical Modelling | W | 7 credits | 4G | M. Kalisch | |
| 401-3628-14L | Bayesian Statistics | W | 4 credits | 2V | F. Sigrist | |
| 401-4623-00L | Time Series Analysis Does not take place this semester. | W | 4 credits | 2G | N. Meinshausen | |
| 401-4632-15L | Causality | W | 4 credits | 2G | J. Peters | |
| Machine Learning and Artificial Intelligence | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
| 227-0689-00L | System Identification | W | 4 credits | 2V + 1U | R. Smith | |
| 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 | |
| 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, N. Perraudin | |
| 263-5210-00L | Probabilistic Artificial Intelligence | W | 8 credits | 3V + 2U + 2A | A. Krause | |
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