Search result: Course units in Spring Semester 2020
Data Science Master | ||||||
Interdisciplinary Electives | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
---|---|---|---|---|---|---|
701-1226-00L | Inter-Annual Phenomena and Their Prediction | W | 2 credits | 2G | C. Appenzeller | |
701-1252-00L | Climate Change Uncertainty and Risk: From Probabilistic Forecasts to Economics of Climate Adaptation | W | 3 credits | 2V + 1U | D. N. Bresch, R. Knutti | |
701-1270-00L | High Performance Computing for Weather and Climate | W | 3 credits | 3G | O. Fuhrer | |
851-0252-06L | Introduction to Social Networks: Theory, Methods and Applications This course is intended for students interested in data analysis and with basic knowledge of inferential statistics. | W | 3 credits | 2G | C. Stadtfeld, T. Elmer | |
363-1091-00L | Social Data Science | W | 3 credits | 2G | D. Garcia Becerra | |
227-0395-00L | Neural Systems | W | 6 credits | 2V + 1U + 1A | R. Hahnloser, M. F. Yanik, B. Grewe | |
227-0973-00L | Translational Neuromodeling | W | 8 credits | 3V + 2U + 1A | K. Stephan | |
227-1032-00L | Neuromorphic Engineering II Information for UZH students: Enrolment to this course unit only possible at ETH. No enrolment to module INI405 at UZH. Please mind the ETH enrolment deadlines for UZH students: Link | W | 6 credits | 5G | S.‑C. Liu, T. Delbrück, G. Indiveri | |
227-1034-00L | Computational Vision (University of Zurich) No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH. UZH Module Code: INI402 Mind the enrolment deadlines at UZH: Link | W | 6 credits | 2V + 1U | D. Kiper | |
851-0739-01L | Sequencing Legal DNA: NLP for Law and Political Economy Particularly suitable for students of D-INFK, D-ITET, D-MTEC | W | 3 credits | 2V | E. Ash | |
851-0739-02L | Sequencing Legal DNA: NLP for Law and Political Economy (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 credits | 2V | E. Ash | |
851-0740-00L | Big Data, Law, and Policy Number of participants limited to 35 Students will be informed by 1.3.2020 at the latest. | W | 3 credits | 2S | S. Bechtold | |
363-1100-00L | Risk Case Study Challenge Does not take place this semester. | W | 3 credits | 2S | A. Bommier, S. Feuerriegel |
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