Search result: Course units in Autumn Semester 2021
Electrical Engineering and Information Technology Master  | ||||||
 Master Studies (Programme Regulations 2018) | ||||||
| Signal Processing and Machine Learning The core courses and specialisation courses below are a selection for students who wish to specialise in the area of "Signal Processing and Machine Learning ", see https://www.ee.ethz.ch/studies/main-master/areas-of-specialisation.html. The individual study plan is subject to the tutor's approval. | ||||||
| Core Courses These core courses are particularly recommended for the field of "Signal Processing and Machine Learning". You may choose core courses form other fields in agreement with your tutor. A minimum of 24 credits must be obtained from core courses during the MSc EEIT. | ||||||
| Foundation Core Courses Fundamentals at bachelor level, for master students who need to strengthen or refresh their background in the area. | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|---|
| 227-0101-00L | Discrete-Time and Statistical Signal Processing | W | 6 credits | 4G | H.‑A. Loeliger | |
| 227-0105-00L | Introduction to Estimation and Machine Learning  | W | 6 credits | 4G | H.‑A. Loeliger | |
| Advanced Core Courses Advanced core courses bring students to gain in-depth knowledge of the chosen specialization. They are MSc level only. | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
| 227-0423-00L | Neural Network Theory | W | 4 credits | 2V + 1U | H. Bölcskei | |
| 227-0427-00L | Signal Analysis, Models, and Machine Learning Does not take place this semester. This course was replaced by "Introduction to Estimation and Machine Learning" and "Advanced Signal Analysis, Modeling, and Machine Learning". | W | 6 credits | 4G | H.‑A. Loeliger | |
| 227-0447-00L | Image Analysis and Computer Vision | W | 6 credits | 3V + 1U | L. Van Gool, E. Konukoglu, F. Yu | |
| 252-0535-00L | Advanced Machine Learning | W | 10 credits | 3V + 2U + 4A | J. M. Buhmann, C. Cotrini Jimenez | |
| 263-3210-00L | Deep Learning Number of participants limited to 320. | W | 8 credits | 3V + 2U + 2A | F. Perez Cruz, A. Lucchi | |
| 401-4944-20L | Mathematics of Data Science | W | 8 credits | 4G | A. Sousa Bandeira | |
| Specialisation Courses These specialisation courses are particularly recommended for the area of "Signal Processing and Machine Learning", but you are free to choose courses from any other field in agreement with your tutor. A minimum of 40 credits must be obtained from specialisation courses during the MSc EEIT. | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
| 227-0116-00L | VLSI 1: HDL based design for FPGAs | W | 6 credits | 5G | F. K. Gürkaynak, L. Benini | |
| 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 | 3G | M. Magno, L. Benini | |
| 227-0121-00L | Communication Systems | W | 6 credits | 4G | A. Wittneben | |
| 227-0225-00L | Linear System Theory | W | 6 credits | 5G | A. Iannelli | |
| 227-0417-00L | Information Theory I | W | 6 credits | 4G | A. Lapidoth | |
| 227-0421-00L | Deep Learning in Artificial and Biological Neuronal Networks | W | 4 credits | 3G | B. Grewe | |
| 227-0477-00L | Acoustics I | W | 6 credits | 4G | K. Heutschi | |
| 263-5210-00L | Probabilistic Artificial Intelligence | W | 8 credits | 3V + 2U + 2A | A. Krause | |
| 263-5255-00L | Foundations of Reinforcement Learning Number of participants limited to 190. Last cancellation/deregistration date for this graded semester performance: Thursday, 28 October 2021! Please note that after that date no deregistration will be accepted and the course will be considered as "fail". | W | 5 credits | 2V + 2A | N. He | |
| 401-3055-64L | Algebraic Methods in Combinatorics | W | 6 credits | 2V + 1U | B. Sudakov | |
| 401-3621-00L | Fundamentals of Mathematical Statistics | W | 10 credits | 4V + 1U | S. van de Geer | |
| 401-3901-00L | Linear & Combinatorial Optimization | W | 11 credits | 4V + 2U | R. Zenklusen | |
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