Search result: Course units in Spring Semester 2022
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 | N. Beerenwinkel | |
| 636-0019-00L | Data Mining II Prerequisites: Basic understanding of mathematics, as taught in basic mathematics courses at the Bachelor`s level. Ideally, students will have attended Data Mining I before taking this class. | W | 6 credits | 3G + 2A | J. Klatt | |
| 262-6190-00L | Machine Learning | W | 8 credits | 4G | external organisers | |
| 252-0220-00L | Introduction to Machine Learning  Limited number of participants. 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 | |
| 636-0101-00L | Systems Genomics | W | 4 credits | 3G | N. Beerenwinkel, C. Beisel, S. Reddy | |
| Seminar Compulsory seminar. | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
| 636-0704-00L | Computational Biology and Bioinformatics Seminar Number of participants limited to 30 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 | 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. | W | 5 credits | 2V + 1U | B. Sudakov | |
| 227-0558-00L | Principles of Distributed Computing | W | 7 credits | 2V + 2U + 2A | R. Wattenhofer, M. Dory, G. Zuzic | |
| 401-3632-00L | Computational Statistics | W | 8 credits | 3V + 1U | N. Meinshausen | |
| 101-0178-01L | Uncertainty Quantification in Engineering | W | 3 credits | 2G | B. Sudret | |
| 252-0526-00L | Statistical Learning Theory Does not take place this semester. | W | 8 credits | 3V + 2U + 2A | J. M. Buhmann | |
| 227-0216-00L | Control Systems II | W | 6 credits | 4G | R. Smith | |
| 151-0566-00L | Recursive Estimation | W | 4 credits | 2V + 1U | R. D'Andrea | |
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