Search result: Course units in Spring Semester 2021
Data Science Master | ||||||
Interdisciplinary Electives | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
---|---|---|---|---|---|---|
227-0395-00L | Neural Systems | W | 6 credits | 2V + 1U + 1A | R. Hahnloser, M. F. Yanik, B. Grewe | |
227-0973-00L | Translational Neuromodeling | W | 8 credits | 3V + 2U + 1A | K. Stephan | |
227-1032-00L | Neuromorphic Engineering II 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 | W | 6 credits | 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 credits | 2V + 1U | D. Kiper | |
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 credits | 2G | C. Stadtfeld, U. Brandes | |
851-0254-00L | Network 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. | W | 3 credits | 2P | U. Brandes, C. Stadtfeld | |
851-0586-03L | Applied Network Science: Sports Networks Number of participant limited to 20 | W | 3 credits | 2S | U. Brandes | |
851-0739-01L | Sequencing Legal DNA: NLP for Law and Political Economy Particularly suitable for students of D-INFK, D-ITET, D-MTEC | W | 3 credits | 2V | E. Ash | |
851-0739-02L | Sequencing 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. | W | 2 credits | 2V | E. Ash | |
851-0740-00L | Big Data, Law, and Policy Number of participants limited to 35. Students will be informed by 1.3.2021 the latest. | W | 3 credits | 2S | S. Bechtold | |
860-0033-00L | Big Data for Public Policy Only for Master students and PhD students. | W | 3 credits | 2G | E. Ash, M. Guillot | |
Data Science Lab | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
263-3300-00L | Data Science Lab Only for Data Science MSc. | W | 14 credits | 9P | C. Zhang, V. Boeva, R. Cotterell, J. Vogt, F. Yang | |
Seminar | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
261-5113-00L | Computational Challenges in Medical Genomics Number of participants limited to 20. | W | 2 credits | 2S | A. Kahles, G. Rätsch | |
263-5225-00L | Advanced Topics in Machine Learning and Data Science 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. | W | 2 credits | 2S | F. Perez Cruz | |
401-3620-21L | Student Seminar in Statistics: Statistical Network Modeling 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. | W | 4 credits | 2S | P. L. Bühlmann, M. Azadkia | |
GESS Science in Perspective | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
851-0740-00L | Big Data, Law, and Policy Number of participants limited to 35. Students will be informed by 1.3.2021 the latest. | W | 3 credits | 2S | S. 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 | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
261-0800-00L | Master'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 | O | 30 credits | 64D | Professors |
- Page 4 of 4 All