Search result: Course units in Autumn Semester 2018
Data Science Master | ||||||
Interdisciplinary Electives | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
---|---|---|---|---|---|---|
227-0575-00L | Advanced Topics in Communication Networks (Autumn 2018) | W | 6 credits | 2V + 2U | L. Vanbever | |
263-3900-00L | Communication Networks Seminar Number of participants limited to 20. 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. | W | 2 credits | 2S | A. Singla | |
401-3922-00L | Life Insurance Mathematics | W | 4 credits | 2V | M. Koller | |
401-3925-00L | Non-Life Insurance: Mathematics and Statistics | W | 8 credits | 4V + 1U | M. V. Wüthrich | |
401-3928-00L | Reinsurance Analytics | W | 4 credits | 2V | P. Antal, P. Arbenz | |
401-4889-00L | Mathematical Finance | W | 11 credits | 4V + 2U | M. Schweizer | |
401-8905-00L | Financial Engineering (University of Zurich) No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH. UZH Module Code: MFOEC200 Mind the enrolment deadlines at UZH: Link | W | 6 credits | 4G | University lecturers | |
851-0252-13L | Network Modeling Particularly suitable for students of D-INFK | W | 3 credits | 2V | C. Stadtfeld, V. Amati | |
851-0252-17L | Network Analysis Lab (with Exercises) Only for Data Science MSc. | W | 5 credits | 2V + 1U | U. Brandes | |
851-0735-09L | Workshop & Lecture Series on the Law & Economics of Innovation | W | 2 credits | 2S | S. Bechtold, H. Gersbach, A. Heinemann | |
Data Science Lab | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
263-3300-00L | Data Science Lab Only for Data Science MSc. | O | 14 credits | 9P | A. Krause, C. Zhang | |
Seminar | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
252-5051-00L | Advanced Topics in Machine Learning Number of participants limited to 40. 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. | W | 2 credits | 2S | J. M. Buhmann, A. Krause, G. Rätsch | |
263-3504-00L | Hardware Acceleration for Data Processing 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. | W | 2 credits | 2S | G. Alonso, T. Hoefler, C. Zhang | |
GESS Science in Perspective | ||||||
» Recommended Science in Perspective (Type B) for D-INFK | ||||||
» see Science in Perspective: Language Courses ETH/UZH | ||||||
» see Science in Perspective: Type A: Enhancement of Reflection Capability | ||||||
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 3 of 3 All