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Suchergebnis: Lerneinheiten im Herbstsemester 2022
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Lerneinheiten
Katalogdaten
Lehrveranstaltungen
Computational Biology and Bioinformatics Master
More information at:
https://www.cbb.ethz.ch/
Vertiefungsfächer
A total of 30 ECTS needs to be acquired in the Advanced Courses category. Thereof at least 16 ECTS in the Theory and at least 10 ECTS in the Biology category.
Note that some of the lectures are being recorded:
https://video.ethz.ch/lectures.html
Theorie
At least 16 ECTS need to be acquired in this category.
Nummer
Titel
Typ
ECTS
Umfang
Dozierende
401-0663-00L
Numerical Methods for Computer Science
W
7 KP
2V + 2U + 2P
R. Hiptmair
263-5210-00L
Probabilistic Artificial Intelligence
W
8 KP
3V + 2U + 2A
A. Krause
401-0647-00L
Introduction to Mathematical Optimization
W
5 KP
2V + 1U
D. Adjiashvili
227-0225-00L
Linear System Theory
W
6 KP
5G
J. Lygeros
,
A. Tsiamis
151-0575-01L
Signals and Systems
W
4 KP
2V + 2U
A. Carron
252-0237-00L
Concepts of Object-Oriented Programming
W
8 KP
3V + 2U + 2A
P. Müller
262-6140-00L
Random Processes: Theory and Applications from Physics to Finance
W
4 KP
3G
externe Veranstalter
262-6150-00L
Programming for Life Sciences
W
4 KP
2P
externe Veranstalter
636-0015-00L
An Introduction to Probability Theory and Stochastic Processes with Applications to Biology
Findet dieses Semester nicht statt.
W
4 KP
3G
263-3010-00L
Big Data
W
10 KP
3V + 2U + 4A
G. Fourny
261-5112-00L
Algorithms and Data Structures for Population Scale Genomics
Number of participants limited to 30.
W
3 KP
2G
A. Kahles
252-0834-00L
Information Systems for Engineers
W
4 KP
2V + 1U
G. Fourny
752-5500-00L
Applied Bioinformatics: Microbiomes
W
5 KP
2V + 2U
N. Bokulich
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