Search result: Courses in Autumn Semester 2020
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 | |||||
| 227-0101-00 G | Discrete-Time and Statistical Signal Processing The lecturers will communicate the exact lesson times of ONLINE courses. | 4 hrs |
| H.‑A. Loeliger | |||||
| 227-0105-00L | Introduction to Estimation and Machine Learning  | W | 6 credits | 4G | |||||
| 227-0105-00 G | Introduction to Estimation and Machine Learning
 The lecturers will communicate the exact lesson times of ONLINE courses. | 4 hrs |
| H.‑A. Loeliger | |||||
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