Search result: Course units 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.
|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|
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