Suchergebnis: Lerneinheiten im Frühjahrssemester 2019
Data Science Master | ||||||
Interdisziplinäre Wahlfächer | ||||||
Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |
---|---|---|---|---|---|---|
101-0478-00L | Measurement and Modelling of Travel Behaviour | W | 6 KP | 4G | K. W. Axhausen | |
103-0228-00L | Multimedia Cartography Voraussetzung: Erfolgreicher Abschluss der Lerneinheit Cartography III (103-0227-00L). | W | 4 KP | 3G | H.‑R. Bär, R. Sieber | |
103-0247-00L | Mobile GIS and Location-Based Services | W | 5 KP | 4G | P. Kiefer | |
103-0255-01L | Geodatenanalyse | W | 2 KP | 2G | R. Buffat | |
227-0945-10L | Cell and Molecular Biology for Engineers II This course is part II of a two-semester course. Knowledge of part I is required. | W | 3 KP | 2G | C. Frei | |
227-0391-00L | Medical Image Analysis Basic knowledge of computer vision would be helpful. | W | 3 KP | 2G | E. Konukoglu, M. A. Reyes Aguirre, C. Tanner | |
261-5113-00L | Computational Challenges in Medical Genomics Number of participants limited to 20. | W | 2 KP | 2S | A. Kahles, G. Rätsch | |
261-5120-00L | Machine Learning for Health Care Number of participants limited to 78. Previously called Computational Biomedicine II | W | 4 KP | 3P | G. Rätsch | |
262-0200-00L | Bayesian Phylodynamics | W | 4 KP | 2G + 2A | T. Stadler, T. Vaughan | |
636-0702-00L | Statistical Models in Computational Biology | W | 6 KP | 2V + 1U + 2A | N. Beerenwinkel | |
263-3501-00L | Future Internet Previously called Advanced Computer Networks | W | 6 KP | 1V + 1U + 3A | A. Singla | |
261-5111-00L | Asset Management: Advanced Investments (University of Zurich) Der Kurs muss direkt an der UZH belegt werden. UZH Modulkürzel: MFOEC207 Beachten Sie die Einschreibungstermine an der UZH: Link | W | 3 KP | 2V | Uni-Dozierende | |
363-1000-00L | Financial Economics | W | 3 KP | 2V | A. Bommier | |
401-3629-00L | Quantitative Risk Management | W | 4 KP | 2V + 1U | P. Cheridito | |
401-3888-00L | Introduction to Mathematical Finance Ein verwandter Kurs ist 401-3913-01L Mathematical Foundations for Finance (3V+2U, 4 ECTS-KP). Obwohl beide Kurse unabhängig voneinander belegt werden können, darf nur einer ans gesamte Mathematik-Studium (Bachelor und Master) angerechnet werden. | W | 10 KP | 4V + 1U | M. Larsson | |
401-3936-00L | Data Analytics for Non-Life Insurance Pricing | W | 4 KP | 2V | C. M. Buser, M. V. Wüthrich | |
401-4658-00L | Computational Methods for Quantitative Finance: PDE Methods | W | 6 KP | 3V + 1U | L. Herrmann, K. Kirchner | |
401-8915-00L | Advanced Financial Economics (University of Zurich) Der Kurs muss direkt an der UZH belegt werden. UZH Modulkürzel: MFOEC206 Beachten Sie die Einschreibungstermine an der UZH: Link | W | 6 KP | 4G | Uni-Dozierende | |
701-0412-00L | Klimasysteme | W | 3 KP | 2G | R. Knutti, I. Medhaug | |
701-1216-00L | Numerical Modelling of Weather and Climate | W | 4 KP | 3G | C. Schär, N. Ban | |
701-1226-00L | Inter-Annual Phenomena and Their Prediction | W | 2 KP | 2G | C. Appenzeller | |
701-1252-00L | Climate Change Uncertainty and Risk: From Probabilistic Forecasts to Economics of Climate Adaptation | W | 3 KP | 2V + 1U | 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 | C. Stadtfeld, T. Elmer, A. Vörös | |
363-1091-00L | Social Data Science | W | 3 KP | 2G | D. Garcia Becerra | |
227-0395-00L | Neural Systems | W | 6 KP | 2V + 1U + 1A | R. Hahnloser, M. F. Yanik, B. Grewe | |
227-0973-00L | Translational Neuromodeling | W | 8 KP | 3V + 2U + 1A | 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 | 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 | 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 | 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 | 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 | 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 | B. J. Bergmann, A. Bommier, S. Feuerriegel |