Search result: Course units in Spring Semester 2021

Data Science Master Information
Interdisciplinary Electives
NumberTitleTypeECTSHoursLecturers
227-0395-00LNeural SystemsW6 credits2V + 1U + 1AR. Hahnloser, M. F. Yanik, B. Grewe
227-0973-00LTranslational NeuromodelingW8 credits3V + 2U + 1AK. Stephan
227-1032-00LNeuromorphic Engineering II Information
Information for UZH students:
Enrolment to this course unit only possible at ETH. No enrolment to module INI405 at UZH.

Please mind the ETH enrolment deadlines for UZH students: Link
W6 credits5GT. Delbrück, G. Indiveri, S.‑C. Liu
227-1034-00LComputational 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
W6 credits2V + 1UD. Kiper
851-0252-06LIntroduction to Social Networks: Theory, Methods and Applications
This course is intended for students interested in data analysis and with basic knowledge of inferential statistics.
W3 credits2GC. Stadtfeld, U. Brandes
851-0254-00LNetwork Science Project
Does not take place this semester.
It is advisable to take at least one of 851-0252-06 Introduction to Social Networks, 851-0252-15 Network Analysis, or 851-0252-13 Network Modeling beforehand.

Proficiency in programming and data analysis are helpful but can be compensated for by a firm understanding of the foundations relevant for the particular study.
W3 credits2PU. Brandes, C. Stadtfeld
851-0586-03LApplied Network Science: Sports Networks Restricted registration - show details
Number of participant limited to 20
W3 credits2SU. Brandes
851-0739-01LSequencing Legal DNA: NLP for Law and Political Economy
Particularly suitable for students of D-INFK, D-ITET, D-MTEC
W3 credits2VE. Ash
851-0739-02LSequencing Legal DNA: NLP for Law and Political Economy (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 1.3.2021 the latest.
W3 credits2SS. Bechtold
860-0033-00LBig Data for Public Policy Information Restricted registration - show details
Only for Master students and PhD students.
W3 credits2GE. Ash, M. Guillot
Data Science Lab
NumberTitleTypeECTSHoursLecturers
263-3300-00LData Science Lab Restricted registration - show details
Only for Data Science MSc.
W14 credits9PC. Zhang, V. Boeva, R. Cotterell, J. Vogt, F. Yang
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
263-5225-00LAdvanced Topics in Machine Learning and Data Science Information Restricted registration - show details
Number of participants limited to 20.

The deadline for deregistering expires at the end of the fourth week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.
W2 credits2SF. Perez Cruz
401-3620-21LStudent Seminar in Statistics: Statistical Network Modeling Information Restricted registration - show details
Number of participants limited to 48.
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. Azadkia
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 1.3.2021 the latest.
W3 credits2SS. Bechtold
» see Science in Perspective: Type A: Enhancement of Reflection Capability
» Recommended Science in Perspective (Type B) for D-INFK
» see Science in Perspective: Language Courses ETH/UZH
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
  • First page Previous page Page  4  of  4     All