Search result: Course units in Autumn Semester 2022
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 Only for DAS in Data Science. | O | 8 credits | 17A | Supervisors | |
| Specialisation Track | ||||||
| Hardware for Machine Learning Offered in the Spring Semester. | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
| 227-0155-00L | Machine Learning on Microcontrollers Registration in this class requires the permission of the instructors. Class size will be limited to 25. 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 | Deep Learning in 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: https://ethz.ch/en/studies/non-degree-courses/special-students.html | W | 6 credits | 2V + 3U | T. Delbrück, G. Indiveri, S.‑C. Liu | |
| 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 | W | 5 credits | 2V + 1U | F. Sigrist | |
| 401-3621-00L | Fundamentals of Mathematical Statistics | W | 10 credits | 4V + 1U | S. van de Geer | |
| 401-3622-00L | Statistical Modelling | W | 8 credits | 4G | P. L. Bühlmann | |
| 401-3628-14L | Bayesian Statistics Does not take place this semester. | W | 4 credits | 2V | ||
| 401-4623-00L | Time Series Analysis | W | 4 credits | 2G | N. Meinshausen | |
| 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, C. Cotrini Jimenez | |
| 252-3005-00L | Natural Language Processing Number of participants limited to 400. | 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 Number of participants limited to 320. | W | 8 credits | 3V + 2U + 2A | T. Hofmann, F. Perez Cruz, N. Perraudin | |
| 263-5210-00L | Probabilistic Artificial Intelligence | W | 8 credits | 3V + 2U + 2A | A. Krause | |
| Big Data Systems | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
| 252-0834-00L | Information Systems for Engineers | W | 4 credits | 2V + 1U | G. Fourny | |
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