Search result: Course units in Spring Semester 2019

Data Science Master Information
Interdisciplinary Electives
NumberTitleTypeECTSHoursLecturers
851-0739-02LBuilding 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.
W2 credits2VE. Ash
851-0740-00LBig Data, Law, and Policy Restricted registration - show details
Number of participants limited to 35

Students will be informed by 3.3.2019 at the latest.
W3 credits2SS. Bechtold, T. Roscoe, E. Vayena
363-1100-00LRisk Case Study Challenge Restricted registration - show details
Limited number of participants.

Please apply for this course via the official website (Link). Once your application is confirmed, registration in myStudies is possible.
W3 credits2SB. J. Bergmann, A. Bommier, S. Feuerriegel
Seminar
NumberTitleTypeECTSHoursLecturers
261-5113-00LComputational Challenges in Medical Genomics Information Restricted registration - show details
Number of participants limited to 20.
W2 credits2SA. Kahles, G. Rätsch
263-3840-00LHardware Architectures for Machine Learning Information
The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.
W2 credits2SG. Alonso, T. Hoefler, C. Zhang
401-3620-19LStudent Seminar in Statistics: Adversarial and Robust Machine Learning Restricted registration - show details
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. Also offered in the Master Programmes Statistics resp. Data Science.
W4 credits2SP. L. Bühlmann, M. H. Maathuis, N. Meinshausen, S. van de Geer
GESS Science in Perspective
NumberTitleTypeECTSHoursLecturers
851-0740-00LBig Data, Law, and Policy Restricted registration - show details
Number of participants limited to 35

Students will be informed by 3.3.2019 at the latest.
W3 credits2SS. Bechtold, T. Roscoe, E. Vayena
» see Science in Perspective: Language Courses ETH/UZH
» see Science in Perspective: Type A: Enhancement of Reflection Capability
» Recommended Science in Perspective (Type B) for D-INFK
Master's Thesis
NumberTitleTypeECTSHoursLecturers
261-0800-00LMaster's Thesis
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
O30 credits64DProfessors
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