Search result: Course units in Spring Semester 2018
|Data Science Master|
|401-8915-00L||Advanced Financial Economics (University of Zurich)|
No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH.
UZH Module Code: MFOEC206
Mind the enrolment deadlines at UZH:
|W||6 credits||4G||University lecturers|
|636-0702-00L||Statistical Models in Computational Biology||W||6 credits||2V + 1U + 2A||N. Beerenwinkel|
|701-0412-00L||Climate Systems||W||3 credits||2G||R. Knutti, I. Medhaug|
|701-1216-00L||Numerical Modelling of Weather and Climate||W||4 credits||3G||C. Schär, U. Lohmann|
|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|
|851-0252-06L||Introduction to Social Networks: Theory, Methods and Applications |
Number of participants limited to 40.
This course is intended for students interested in data analysis and with basic knowledge of inferential statistics.
|W||3 credits||2G||C. Stadtfeld, A. Vörös|
| Data Science Lab|
This course unit will be given in HS18 for the first time according to programme regulations 2016 Data Science MSc.
|263-3830-00L||Software Defined Networking: The Data Centre Perspective||W||2 credits||2S||T. Roscoe, D. Wagenknecht-Dimitrova|
|263-3840-00L||Hardware Architectures for Machine Learning||W||2 credits||2S||G. Alonso, T. Hoefler, O. Mutlu, C. Zhang|
|401-3620-18L||Student Seminar in Statistics: Nonparametric Estimation under Shape-Constraints |
Number of participants limited to 22.
Mainly for students from the Mathematics Bachelor and Master Programmes who, in addition to the introductory course unit 401-2604-00L Probability and Statistics, have heard at least one core or elective course in statistics.
|W||4 credits||2S||F. Balabdaoui, P. L. Bühlmann, M. H. Maathuis, N. Meinshausen, S. van de Geer|
|GESS Science in Perspective|
|» Recommended Science in Perspective (Type B) for D-INFK|
|» see Science in Perspective: Type A: Enhancement of Reflection Capability|
|» see Science in Perspective: Language Courses ETH/UZH|
|851-0740-00L||Big Data, Law, and Policy |
Number of participants limited to 35
Students will be informed by 4.3.2018 at the latest
|W||3 credits||2S||S. Bechtold, T. Roscoe, E. Vayena|
The minimal prerequisites for the Master’s thesis registration are:
Completed Bachelor’s program
All additional requirements completed (additional requirements, if any, are listed in the admission decree)
Minimum degree requirements fulfilled of the course categories Data Analysis and Data Management and overall 50 credits obtained in the course category Core Courses
Data Science Lab (14 credits) completed
- Page 3 of 3 All