Search result: Course units in Spring Semester 2021
Computational Biology and Bioinformatics Master More informations at: Link | ||||||
Advanced Courses A total of 30 ECTS needs to be acquired in the Advanced Courses category. Thereof 18 ECTS in the Theory and 12 ECTS in the Biology category. Note that some of the lectures are being recorded: Link | ||||||
Theory At least 18 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 | 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. Ghaffari | |
401-3632-00L | Computational Statistics | W | 8 credits | 3V + 1U | M. Mächler | |
101-0178-01L | Uncertainty Quantification in Engineering | W | 3 credits | 2G | S. Marelli, B. Sudret | |
252-0526-00L | Statistical Learning Theory | W | 8 credits | 3V + 2U + 2A | J. M. Buhmann, C. Cotrini Jimenez | |
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 | |
401-3642-00L | Brownian Motion and Stochastic Calculus | W | 10 credits | 4V + 1U | W. Werner | |
401-3602-00L | Applied Stochastic Processes | W | 8 credits | 3V + 1U | V. Tassion | |
636-0530-00L | High Performance Computing | W | 4 credits | 4G | external organisers | |
262-0200-00L | Bayesian Phylodynamics – Taming the BEAST | W | 4 credits | 2G + 2A | T. Stadler, T. Vaughan | |
261-5113-00L | Computational Challenges in Medical Genomics Number of participants limited to 20. | W | 2 credits | 2S | A. Kahles, G. Rätsch | |
262-6240-00L | Distributed Information Systems Mutually exclusive courses in the advanced course category: "Distributed Information Systems" (Uni Basel) and "Principles of Distributed Compution" (ETH Zürich). | W | 4 credits | 2V | external organisers | |
636-0022-00L | Design of Experiments | W | 4 credits | 3G | H.‑M. Kaltenbach | |
252-3900-00L | Big Data for Engineers This course is not intended for Computer Science and Data Science MSc students! | W | 6 credits | 2V + 2U + 1A | G. Fourny | |
261-5120-00L | Machine Learning for Health Care Number of participants limited to 150. | W | 5 credits | 3P + 1A | V. Boeva, G. Rätsch, J. Vogt | |
636-0122-00L | Introduction to Scientific Computing | W | 4 credits | 3G | R. Vetter | |
Biology At least 12 ECTS need to be acquired in this category. | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
262-5110-00L | Protein Crystallography and Electron Microscopy (University of Zurich) No enrollment to this course at ETH Zurich. Book the corresponding module directly at UZH. UZH Module Code: BCH630 Mind the enrolment deadlines at UZH: Link | W | 3 credits | 3G | University lecturers |
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