Suchergebnis: Lehrveranstaltungen im Herbstsemester 2019

Computational Biology and Bioinformatics Master Information
More informations at: Link
Master-Studium (Studienreglement 2017)
Kernfächer
Please note that the list of core courses is a closed list. Other courses cannot be added to the core course category in the study plan. Also the assignments of courses to core subcategories cannot be changed.
Students need to pass at least one course in each core subcategory.
A total of 40 ECTS needs to be acquired in the core course category.
Data Science
NummerTitelTypECTSUmfangDozierende
636-0018-00LData Mining IW6 KP3G + 2A
636-0018-00 GData Mining I
Tutorial: 8-9h, Lecture: 9-11h. The tutorial and lecture will be held each Wednesday in Basel and will be transmitted via videoconference to Zurich.
ATTENTION: Course starts on Wednesday, October 2!
Course will be streamed and recorded
3 Std.
Mi08:15-11:00BSA E 46 »
08:15-11:00HG D 16.2 »
K. M. Borgwardt
636-0018-00 AData Mining I
Project Work (compulsory continuous performance assessment), no fixed presence required.
2 Std.K. M. Borgwardt
401-6282-00LStatistical Analysis of High-Throughput Genomic and Transcriptomic Data (University of Zurich)
Der Kurs muss direkt an der UZH belegt werden.
UZH Modulkürzel: STA426

Beachten Sie die Einschreibungstermine an der UZH: Link
W5 KP3G
401-6282-00 GStatistical Analysis of High-Throughput Genomic and Transcriptomic Data (University of Zurich)
**Course at University of Zurich**
3 Std.
Mo09:00-12:00UNI ZH .
H. Rehrauer, M. Robinson
252-0535-00LAdvanced Machine Learning Information W8 KP3V + 2U + 2A
252-0535-00 VAdvanced Machine Learning
Vorlesung:
Donnerstag im ML D 28 mit Videoübertragung im ML E 12
Freitag im HG F 1 mit Videoübertragung im HG F 3
3 Std.
Do14:15-15:00ML D 28 »
14:15-15:00ML E 12 »
Fr08:15-10:00HG F 1 »
08:15-10:00HG F 3 »
J. M. Buhmann
252-0535-00 UAdvanced Machine Learning2 Std.
Mi13:15-15:00CAB G 61 »
15:15-17:00CAB G 61 »
Do15:15-17:00CAB G 51 »
Fr13:15-15:00CAB G 61 »
J. M. Buhmann
252-0535-00 AAdvanced Machine Learning
Project Work, no fixed presence required.
2 Std.J. M. Buhmann
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