Suchergebnis: Lerneinheiten im Herbstsemester 2020
Data Science Master | ||||||
Interdisziplinäre Wahlfächer | ||||||
Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |
---|---|---|---|---|---|---|
701-0473-00L | Wettersysteme | W | 3 KP | 2G | M. A. Sprenger, F. Scholder-Aemisegger | |
701-1251-00L | Land-Climate Dynamics Number of participants limited to 36. | W | 3 KP | 2G | E. L. Davin, R. Padrón Flasher, S. I. Seneviratne | |
851-0252-13L | Network Modeling Particularly suitable for students of D-INFK Students are required to have basic knowledge in inferential statistics, such as regression models. | W | 3 KP | 2V | C. Stadtfeld, V. Amati | |
851-0252-15L | Network Analysis Particularly suitable for students of D-INFK, D-MATH | W | 3 KP | 2V | U. Brandes | |
851-0586-03L | Applied Network Science: Social Media Networks Number of participant limited to 20 | 3 KP | 2S | U. Brandes | ||
851-0735-09L | Workshop & Lecture Series on the Law & Economics of Innovation | W | 2 KP | 2S | S. Bechtold, H. Gersbach, A. Heinemann | |
851-0760-00L | Building a Robot Judge: Data Science for Decision-Making Particularly suitable for students of D-INFK, D-ITET, D-MTEC | W | 3 KP | 2V | E. Ash | |
851-0761-00L | Building 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. | W | 2 KP | 2V | E. Ash |
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