Search result: Course units in Spring Semester 2022
Computational Biology and Bioinformatics Master  More informations at: https://www.cbb.ethz.ch | ||||||
 Advanced CoursesA 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 | |
| 401-3642-00L | Brownian Motion and Stochastic Calculus | W | 10 credits | 4V + 1U | M. Schweizer | |
| 401-3602-00L | Applied Stochastic Processes Does not take place this semester. | W | 8 credits | 3V + 1U | not available | |
| 636-0530-00L | High Performance Computing | W | 4 credits | 4G | external organisers | |
| 262-0200-00L | Bayesian Phylodynamics | W | 4 credits | 2G + 2A | T. Vaughan | |
| 261-5113-00L | Computational Challenges in Medical Genomics  Number of participants limited to 20. | W | 2 credits | 2S | A. Kahles | |
| 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 | 2V + 2A | V. Boeva, G. Rätsch, J. Vogt | |
| 636-0122-00L | Introduction to Scientific Computing | W | 4 credits | 3G | R. Vetter | |
| 261-5112-00L | Algorithms and Data Structures for Population Scale Genomics Number of participants limited to 30. | W | 3 credits | 2G | A. Kahles | |
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