Suchergebnis: Lehrveranstaltungen im Frühjahrssemester 2019
Data Science Master | |||||||||||||||||||||
Interdisziplinäre Wahlfächer | |||||||||||||||||||||
Nummer | Titel | Typ | ECTS | Umfang | Dozierende | ||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
701-1226-00L | Inter-Annual Phenomena and Their Prediction | W | 2 KP | 2G | |||||||||||||||||
701-1226-00 G | Inter-Annual Phenomena and Their Prediction | 2 Std. |
| C. Appenzeller | |||||||||||||||||
701-1252-00L | Climate Change Uncertainty and Risk: From Probabilistic Forecasts to Economics of Climate Adaptation | W | 3 KP | 2V + 1U | |||||||||||||||||
701-1252-00 V | Climate Change Uncertainty and Risk: From Probabilistic Forecasts to Economics of Climate Adaptation | 2 Std. |
| D. N. Bresch, R. Knutti | |||||||||||||||||
701-1252-00 U | Climate Change Uncertainty and Risk: From Probabilistic Forecasts to Economics of Climate Adaptation | 1 Std. |
| D. N. Bresch, R. Knutti | |||||||||||||||||
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 KP | 2G | |||||||||||||||||
851-0252-06 G | Introduction to Social Networks: Theory, Methods and Applications | 2 Std. |
| C. Stadtfeld, T. Elmer, A. Vörös | |||||||||||||||||
363-1091-00L | Social Data Science | W | 3 KP | 2G | |||||||||||||||||
363-1091-00 G | Social Data Science Block course: 11.-15.2.2019 | 30s Std. |
| D. Garcia Becerra | |||||||||||||||||
227-0395-00L | Neural Systems | W | 6 KP | 2V + 1U + 1A | |||||||||||||||||
227-0395-00 V | Neural Systems | 2 Std. |
| R. Hahnloser, M. F. Yanik, B. Grewe | |||||||||||||||||
227-0395-00 U | Neural Systems | 1 Std. |
| R. Hahnloser, M. F. Yanik, B. Grewe | |||||||||||||||||
227-0395-00 A | Neural Systems | 1 Std. | R. Hahnloser, M. F. Yanik, B. Grewe | ||||||||||||||||||
227-0973-00L | Translational Neuromodeling | W | 8 KP | 3V + 2U + 1A | |||||||||||||||||
227-0973-00 V | Translational Neuromodeling | 3 Std. |
| K. Stephan | |||||||||||||||||
227-0973-00 U | Translational Neuromodeling | 2 Std. |
| K. Stephan | |||||||||||||||||
227-0973-00 A | Translational Neuromodeling No presence required. Creative task outside the regular weekly exercises. | 1 Std. | K. Stephan | ||||||||||||||||||
227-1032-00L | Neuromorphic Engineering II Information für UZH Studierende: Die Lerneinheit kann nur an der ETH belegt werden. Die Belegung des Moduls INI405 ist an der UZH nicht möglich. Beachten Sie die Einschreibungstermine an der ETH für UZH Studierende: Link | W | 6 KP | 5G | |||||||||||||||||
227-1032-00 G | Neuromorphic Engineering II **together with University of Zurich** Vorlesung: 13-15 Übungen: 15-18 | 5 Std. |
| T. Delbrück, G. Indiveri, S.‑C. Liu | |||||||||||||||||
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 KP | 2V + 1U | |||||||||||||||||
227-1034-00 V | Computational Vision (University of Zurich) **Course at University of Zurich** | 2 Std. |
| D. Kiper | |||||||||||||||||
227-1034-00 U | Computational Vision (University of Zurich) **Course at University of Zurich** Exercise dates by arrangement. | 1 Std. | n. V. | D. Kiper | |||||||||||||||||
851-0739-01L | Building a Robot Judge: Data Science For the Law Particularly suitable for students of D-INFK, D-ITET, D-MTEC | W | 3 KP | 2V | |||||||||||||||||
851-0739-01 V | Building a Robot Judge: Data Science For the Law | 2 Std. |
| E. Ash | |||||||||||||||||
851-0739-02L | Building a Robot Judge: Data Science for the Law (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 | |||||||||||||||||
851-0739-02 V | Building a Robot Judge: Data Science for the Law (Course Project) Mondays, 1pm-3pm | 28s Std. | E. Ash | ||||||||||||||||||
851-0740-00L | Big Data, Law, and Policy Number of participants limited to 35 Students will be informed by 3.3.2019 at the latest. | W | 3 KP | 2S | |||||||||||||||||
851-0740-00 S | Big Data, Law, and Policy Bewilligung der Dozierenden für alle Studierenden notwendig.
| 2 Std. |
| S. Bechtold, T. Roscoe, E. Vayena | |||||||||||||||||
363-1100-00L | Risk Case Study Challenge Limited number of participants. Please apply for this course via the official website (Link). Once your application is confirmed, registration in myStudies is possible. | W | 3 KP | 2S | |||||||||||||||||
363-1100-00 S | Risk Case Study Challenge | 2 Std. |
| B. J. Bergmann, A. Bommier, S. Feuerriegel |
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