Suchergebnis: Lehrveranstaltungen 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 | |||||||||||||||||
101-0478-00 G | Measurement and Modeling of Travel Behaviour | 4 Std. |
| K. W. Axhausen | |||||||||||||||||
103-0228-00L | Multimedia Cartography Voraussetzung: Erfolgreicher Abschluss der Lerneinheit Cartography III (103-0227-00L). | W | 4 KP | 3G | |||||||||||||||||
103-0228-00 G | Multimedia Cartography | 3 Std. |
| H.‑R. Bär, R. Sieber | |||||||||||||||||
103-0247-00L | Mobile GIS and Location-Based Services | W | 5 KP | 4G | |||||||||||||||||
103-0247-00 G | Mobile GIS and Location-Based Services | 4 Std. |
| P. Kiefer | |||||||||||||||||
103-0255-01L | Geodatenanalyse | W | 2 KP | 2G | |||||||||||||||||
103-0255-01 G | Geodatenanalyse | 2 Std. |
| 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 | |||||||||||||||||
227-0945-10 G | Cell and Molecular Biology for Engineers II | 2 Std. |
| C. Frei | |||||||||||||||||
227-0391-00L | Medical Image Analysis Basic knowledge of computer vision would be helpful. | W | 3 KP | 2G | |||||||||||||||||
227-0391-00 G | Medical Image Analysis | 2 Std. |
| 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 | |||||||||||||||||
261-5113-00 S | Computational Challenges in Medical Genomics | 2 Std. |
| 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 | |||||||||||||||||
261-5120-00 P | Machine Learning for Health Care | 3 Std. |
| G. Rätsch | |||||||||||||||||
262-0200-00L | Bayesian Phylodynamics | W | 4 KP | 2G + 2A | |||||||||||||||||
262-0200-00 G | Bayesian Phylodynamics | 2 Std. |
| T. Stadler, T. Vaughan | |||||||||||||||||
262-0200-00 A | Bayesian Phylodynamics | 2 Std. | T. Stadler, T. Vaughan | ||||||||||||||||||
636-0702-00L | Statistical Models in Computational Biology | W | 6 KP | 2V + 1U + 2A | |||||||||||||||||
636-0702-00 V | Statistical Models in Computational Biology The lecture will be held either in Zurich or Basel and will be transmitted via videoconference to the second location. | 2 Std. |
| N. Beerenwinkel | |||||||||||||||||
636-0702-00 U | Statistical Models in Computational Biology The tutorial will be held either in Zurich or Basel and will be transmitted via videoconference to the second location. | 1 Std. |
| N. Beerenwinkel | |||||||||||||||||
636-0702-00 A | Statistical Models in Computational Biology Project work, no fixed presence required. | 2 Std. | N. Beerenwinkel | ||||||||||||||||||
263-3501-00L | Future Internet Previously called Advanced Computer Networks | W | 6 KP | 1V + 1U + 3A | |||||||||||||||||
263-3501-00 V | Future Internet | 1 Std. |
| A. Singla | |||||||||||||||||
263-3501-00 U | Future Internet | 1 Std. |
| A. Singla | |||||||||||||||||
263-3501-00 A | Future Internet | 3 Std. | 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 | |||||||||||||||||
261-5111-00 V | Asset Management: Advanced Investments (University of Zurich) **Course at University of Zurich** | 2 Std. | Uni-Dozierende | ||||||||||||||||||
363-1000-00L | Financial Economics | W | 3 KP | 2V | |||||||||||||||||
363-1000-00 V | Financial Economics | 2 Std. |
| A. Bommier | |||||||||||||||||
401-3629-00L | Quantitative Risk Management | W | 4 KP | 2V + 1U | |||||||||||||||||
401-3629-00 V | Quantitative Risk Management | 2 Std. |
| P. Cheridito | |||||||||||||||||
401-3629-00 U | Quantitative Risk Management | 1 Std. |
| 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 | |||||||||||||||||
401-3888-00 V | Introduction to Mathematical Finance | 4 Std. |
| M. Larsson | |||||||||||||||||
401-3888-00 U | Introduction to Mathematical Finance Wed 14-15 or Wed 15-16 | 1 Std. |
| M. Larsson | |||||||||||||||||
401-3936-00L | Data Analytics for Non-Life Insurance Pricing | W | 4 KP | 2V | |||||||||||||||||
401-3936-00 V | Data Analytics for Non-Life Insurance Pricing | 2 Std. |
| C. M. Buser, M. V. Wüthrich | |||||||||||||||||
401-4658-00L | Computational Methods for Quantitative Finance: PDE Methods | W | 6 KP | 3V + 1U | |||||||||||||||||
401-4658-00 V | Computational Methods for Quantitative Finance: PDE Methods Bewilligung der Dozierenden für alle Studierenden notwendig.
| 3 Std. |
| L. Herrmann, K. Kirchner | |||||||||||||||||
401-4658-00 U | Computational Methods for Quantitative Finance: PDE Methods | 1 Std. |
| 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 | |||||||||||||||||
401-8915-00 G | Advanced Financial Economics (University of Zurich) **Course at University of Zurich** | 4 Std. | Uni-Dozierende | ||||||||||||||||||
701-0412-00L | Klimasysteme | W | 3 KP | 2G | |||||||||||||||||
701-0412-00 G | Klimasysteme | 2 Std. |
| R. Knutti, I. Medhaug | |||||||||||||||||
701-1216-00L | Numerical Modelling of Weather and Climate | W | 4 KP | 3G | |||||||||||||||||
701-1216-00 G | Numerical Modelling of Weather and Climate lecture 13-15 and exercise 15-17 every 14 days | 3 Std. |
| C. Schär, N. Ban | |||||||||||||||||
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 |