Search result: Course units in Spring Semester 2021

Electrical Engineering and Information Technology Master Information
Master Studies (Programme Regulations 2018)
Signal Processing and Machine Learning
The core courses and specialization courses below are a selection for students who wish to specialize in the area of "Signal Processing and Machine Learning ", see Link.

The individual study plan is subject to the tutor's approval.
Specialization Courses
These specialization 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 specialization courses during the MSc EEIT.
NumberTitleTypeECTSHoursLecturers
252-0526-00LStatistical Learning Theory Information W8 credits3V + 2U + 2AJ. M. Buhmann, C. Cotrini Jimenez
252-0579-00L3D Vision Information W5 credits3G + 1AM. Pollefeys, V. Larsson
252-3900-00LBig Data for Engineers Information
This course is not intended for Computer Science and Data Science MSc students!
W6 credits2V + 2U + 1AG. Fourny
263-5300-00LGuarantees for Machine Learning Information Restricted registration - show details
Number of participants limited to 30.

Last cancellation/deregistration date for this graded semester performance: 17 March 2021! Please note that after that date no deregistration will be accepted and a "no show" will appear on your transcript.
W7 credits3G + 3AF. Yang
263-5904-00LDeep Learning for Computer Vision: Seminal Work Information Restricted registration - show details
Number of participants limited to 24.

The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.
W2 credits2SI. Armeni
401-3052-05LGraph Theory Information W5 credits2V + 1UB. Sudakov
401-3052-10LGraph Theory Information W10 credits4V + 1UB. Sudakov
Electives
Courses from the ETH course catalogue may be chosen in agreement with your tutor.

As an alternative to the elective courses, students may do a second semester project or an internship in industry. Please consult your tutor.
Industrial Internship
NumberTitleTypeECTSHoursLecturers
227-1550-10LInternship in Industry Restricted registration - show details
Only for Electrical Engineering and Information Technology MSc (Programme Regulations 2018).
W12 creditsexternal organisers
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