Suchergebnis: Lerneinheiten im Herbstsemester 2020

Data Science Master Information
Interdisziplinäre Wahlfächer
NummerTitelTypECTSUmfangDozierende
701-0473-00LWettersysteme Information W3 KP2GM. A. Sprenger, F. Scholder-Aemisegger
701-1251-00LLand-Climate Dynamics Information Belegung eingeschränkt - Details anzeigen
Number of participants limited to 36.
W3 KP2GE. L. Davin, R. Padrón Flasher, S. I. Seneviratne
851-0252-13LNetwork Modeling
Particularly suitable for students of D-INFK

Students are required to have basic knowledge in inferential statistics, such as regression models.
W3 KP2VC. Stadtfeld, V. Amati
851-0252-15LNetwork Analysis
Particularly suitable for students of D-INFK, D-MATH
W3 KP2VU. Brandes
851-0586-03LApplied Network Science: Social Media Networks Belegung eingeschränkt - Details anzeigen
Number of participant limited to 20
3 KP2SU. Brandes
851-0735-09LWorkshop & Lecture Series on the Law & Economics of Innovation Information W2 KP2SS. Bechtold, H. Gersbach, A. Heinemann
851-0760-00LBuilding a Robot Judge: Data Science for Decision-Making Belegung eingeschränkt - Details anzeigen
Particularly suitable for students of D-INFK, D-ITET, D-MTEC
W3 KP2VE. Ash
851-0761-00LBuilding a Robot Judge: Data Science for Decision-Making (Course Project)
This is the optional course project for "Building a Robot Judge: Data Science for the Law."

Please register only if attending the lecture course or with consent of the instructor.

Some programming experience in Python is required, and some experience with text mining is highly recommended.
W2 KP2VE. Ash
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