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Search result: Course units in Autumn Semester 2020
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Courses
Electrical Engineering and Information Technology Master
Master Studies (Programme Regulations 2008)
Major Courses
A total of 42 CP must be achieved during the Master Programme. The individual study plan is subject to the tutor's approval.
Signal Processing and Machine Learning
Recommended Subjects
Number
Title
Type
ECTS
Hours
Lecturers
227-0225-00L
Linear System Theory
W
6 credits
5G
M. Colombino
227-0417-00L
Information Theory I
W
6 credits
4G
A. Lapidoth
227-0421-00L
Learning in Deep Artificial and Biological Neuronal Networks
W
4 credits
3G
B. Grewe
227-0445-10L
Mathematical Methods of Signal Processing
W
6 credits
4G
H. G. Feichtinger
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
401-0647-00L
Introduction to Mathematical Optimization
W
5 credits
2V + 1U
D. Adjiashvili
401-3054-14L
Probabilistic 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
Mathematical Optimization
W
11 credits
4V + 2U
R. Zenklusen
401-4619-67L
Advanced Topics in Computational Statistics
Does not take place this semester.
W
4 credits
2V
not available
Subjects of General Interest
These courses are suitable for several special fields. Please consult your tutor.
Number
Title
Type
ECTS
Hours
Lecturers
227-0377-10L
Physics of Failure and Reliability of Electronic Devices and Systems
W
3 credits
2V
I. Shorubalko
,
M. Held
363-0790-00L
Technology Entrepreneurship
W
2 credits
2V
F. Hacklin
151-0317-00L
Visualization, Simulation and Interaction - Virtual Reality II
W
4 credits
3G
A. Kunz
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