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Search result: Course units in Autumn Semester 2023
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Course units
Catalogue data
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
227-0101-00L
Discrete-Time and Statistical Signal Processing
W
6 credits
4G
H.‑A. Loeliger
227-0116-00L
VLSI 1: HDL Based Design for FPGAs
W
6 credits
5G
F. K. Gürkaynak
,
L. Benini
227-0121-00L
Communication Systems
W
6 credits
4G
C. Studer
,
S. M. Moser
227-0155-00L
Machine Learning on Microcontrollers
Registration in this class requires the permission of the instructors.
Preference is given to students in the MSc EEIT.
W
6 credits
4G
M. Magno
,
L. Benini
227-0225-00L
Linear System Theory
W
6 credits
5G
J. Lygeros
,
A. Tsiamis
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
227-0477-00L
Acoustics I
W
3 credits
2G
R. Pieren
,
K. Heutschi
263-5210-00L
Probabilistic Artificial Intelligence
W
8 credits
3V + 2U + 2A
A. Krause
263-5300-00L
Guarantees for Machine Learning
W
7 credits
3V + 1U + 2A
F. Yang
401-3054-14L
Probabilistic Methods in Combinatorics
Does not take place this semester.
W
5 credits
2V + 1U
not available
401-3055-64L
Algebraic Methods in Combinatorics
W
5 credits
2V + 1U
L. Gishboliner
401-3426-21L
Time-Frequency Analysis
W
4 credits
2V
R. Alaifari
401-3621-00L
Fundamentals of Mathematical Statistics
W
9 credits
4V + 1U
S. van de Geer
401-3901-00L
Linear & Combinatorial Optimization
W
10 credits
4V + 2U
R. Zenklusen
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