Search result: Course units in Autumn Semester 2020
DAS in Data Science  | ||||||
 Core Courses | ||||||
| Foundations Courses | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|---|
| 227-0427-00L | Signal Analysis, Models, and Machine Learning Does not take place this semester. This course has been replaced by "Introduction to Estimation and Machine Learning" (autumn semester) and "Advanced Signal Analysis, Modeling, and Machine Learning" (spring semester). | W | 6 credits | 4G | H.‑A. Loeliger | |
| 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 | F. Perez Cruz, O. Verscheure, T. Hofmann | |
| 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 16. Preference is given to students in the MSc EEIT. | W | 6 credits | 3G | 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, V. Ferrari | |
| 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, 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 | 3G | 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, M. Mächler | |
| 401-3628-14L | Bayesian Statistics Does not take place this semester. | W | 4 credits | 2V | ||
| 401-4623-00L | Time Series Analysis | W | 6 credits | 3G | F. Balabdaoui | |
| 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 | |
| 263-2400-00L | Reliable and Interpretable Artificial Intelligence | W | 6 credits | 2V + 2U + 1A | M. Vechev | |
| 263-3210-00L | Deep Learning | W | 8 credits | 3V + 2U + 2A | T. Hofmann | |
| 263-5210-00L | Probabilistic Artificial Intelligence | W | 8 credits | 3V + 2U + 2A | A. Krause | |
| 252-3005-00L | Natural Language Processing Number of participants limited to 200. | W | 5 credits | 2V + 1U + 1A | R. Cotterell | |
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