Search result: Course units in Spring Semester 2023
Computational Biology and Bioinformatics Master  More informations at: https://www.cbb.ethz.ch | ||||||
 Core CoursesPlease note that the list of core courses is a closed list. Other courses cannot be added to the core course category in the study plan. Also the assignments of courses to core subcategories cannot be changed. Students need to pass at least one course in each core subcategory. A total of 40 ECTS needs to be acquired in the core course category. | ||||||
| Bioinformatics Please note that all Bioinformatics core courses are offered in the autumn semester | ||||||
| Biophysics | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|---|
| 262-5100-00L | Protein Biophysics (University of Zurich) No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH as an incoming student. UZH Module Code: BCH304 Mind the enrolment deadlines at UZH: https://www.uzh.ch/cmsssl/en/studies/application/deadlines.html | W | 6 credits | 3V + 1U | University lecturers | |
| 151-0980-00L | Biofluiddynamics | W | 4 credits | 2V + 1U | D. Obrist, P. Jenny | |
| Biosystems | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
| 636-0016-00L | Computational Systems Biology: Stochastic Approaches | W | 4 credits | 3G | M. H. Khammash, A. Gupta | |
| 636-0111-00L | Synthetic Biology I | W | 4 credits | 3G | S. Panke, J. Stelling | |
| Data Science | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
| 551-0364-00L | Functional Genomics Information for UZH students: Enrolment to this course unit only possible at ETH. No enrolment to module BIO 254 at UZH. Please mind the ETH enrolment deadlines for UZH students: Link | W | 3 credits | 2V | C. von Mering, B. Bodenmiller, M. Gstaiger, H. Rehrauer, R. Schlapbach, K. Shimizu, N. Zamboni, further lecturers | |
| 636-0702-00L | Statistical Models in Computational Biology | W | 6 credits | 2V + 1U + 2A | J. Kuipers | |
| 262-6190-00L | Machine Learning No enrolment to this course at ETH Zurich. Register directly at Uni Basel. UBas course number 17165 Mind the enrolment deadlines and modalities at Uni Basel: Link | W | 8 credits | 4G | external organisers | |
| 252-0220-00L | Introduction to Machine Learning  Preference is given to students in programmes in which the course is being offered. All other students will be waitlisted. Please do not contact Prof. Krause for any questions in this regard. If necessary, please contact studiensekretariat@inf.ethz.ch | W | 8 credits | 4V + 2U + 1A | A. Krause, F. Yang | |
| Seminar Compulsory seminar. | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
| 636-0704-00L | Computational Biology and Bioinformatics Seminar The seminar is addressed primarily at students enrolled in the MSc CBB programme. Students of other ETH study programmes interested in this course need to ask the lecturer for permission to enrol in the course. The Seminar will be offered in autumn semester in Basel (involving professors and lecturers from the University of Basel) and in spring semester in Zurich (involving professors and lecturers from the University of Zurich). Professors and lecturers from ETH Zurich are involved in both semesters. | O | 2 credits | 2S | J. Stelling, D. Iber, M. H. Khammash, J. Payne | |
| Advanced Courses A total of 30 ECTS needs to be acquired in the Advanced Courses category. Thereof at least 16 ECTS in the Theory and 10 ECTS in the Biology category. Note that some of the lectures are being recorded: https://video.ethz.ch/lectures.html | ||||||
| Theory At least 16 ECTS need to be acquired in this category. | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
| 252-0063-00L | Data Modelling and Databases | W | 7 credits | 4V + 2U | G. Alonso, C. Zhang | |
| 401-0674-00L | Numerical Methods for Partial Differential Equations Not meant for BSc/MSc students of mathematics. | W | 10 credits | 2G + 2U + 2P + 4A | R. Hiptmair | |
| 401-3052-05L | Introduction to Graph Theory This is the first half of the course unit 401-3052-10L Graph Theory. Notice that at most one of the two course units 401-3052-05L Introduction to Graph Theory and 401-3052-10L Graph Theory can be recognised for credits. | W | 5 credits | 2V + 1U | B. Sudakov | |
| 227-0558-00L | Principles of Distributed Computing | W | 7 credits | 2V + 2U + 2A | R. Wattenhofer | |
| 401-3632-00L | Computational Statistics | W | 8 credits | 3V + 1U | M. Mächler | |
| 101-0178-01L | Uncertainty Quantification in Engineering | W | 3 credits | 2G | N. Lüthen | |
| 252-0526-00L | Statistical Learning Theory | W | 8 credits | 3V + 2U + 2A | J. M. Buhmann | |
| 227-0216-00L | Computational Control Previously (up until FS22) named "Control Systems II" | W | 6 credits | 2V + 2U | S. Bolognani | |
| 151-0566-00L | Recursive Estimation | W | 4 credits | 2V + 1U | R. D'Andrea | |
| 401-3642-00L | Brownian Motion and Stochastic Calculus | W | 10 credits | 4V + 1U | D. Possamaï | |
| 401-3602-00L | Applied Stochastic Processes | W | 8 credits | 3V + 1U | V. Tassion | |
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