Search result: Course units in Spring Semester 2018
Computational Biology and Bioinformatics Master  More informations at: https://www.cbb.ethz.ch | ||||||
 Master Studies (Programme Regulations 2017) | ||||||
| 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. | ||||||
| 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 | G. Alonso, C. Zhang | |
| 401-0674-00L | Numerical Methods for Partial Differential Equations Not meant for BSc/MSc students of mathematics. | W | 8 credits | 4V + 2U + 1A | R. Hiptmair | |
| 401-3052-05L | Graph Theory | W | 5 credits | 2V + 1U | B. Sudakov | |
| 227-1034-00L | Computational Vision (University of Zurich) No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH. UZH Module Code: INI402 Mind the enrolment deadlines at UZH: https://www.uzh.ch/cmsssl/en/studies/application/mobilitaet.html | W | 6 credits | 2V + 1U | D. Kiper, K. A. Martin | |
| 252-0220-00L | Introduction to Machine Learning Previously called Learning and Intelligent Systems Prof. Krause approves that students take distance exams, also if the exam will take place at a later time due to a different time zone of the alternative exam place. To get Prof. Krause's signature on the distance exam form please send it to Rita Klute, rita.klute@inf.ethz.ch. | W | 8 credits | 4V + 2U + 1A | A. Krause | |
| 227-0558-00L | Principles of Distributed Computing | W | 6 credits | 2V + 2U + 1A | R. Wattenhofer, M. Ghaffari | |
| 401-3632-00L | Computational Statistics | W | 10 credits | 3V + 2U | M. H. Maathuis | |
| 101-0178-01L | Uncertainty Quantification in Engineering | W | 3 credits | 2G | B. Sudret, S. Marelli | |
| 263-2300-00L | How To Write Fast Numerical Code  Does not take place this semester. Number of participants limited to 84. Prerequisite: Master student, solid C programming skills. | W | 6 credits | 3V + 2U | M. Püschel | |
| 252-0526-00L | Statistical Learning Theory | W | 6 credits | 2V + 3P | 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 | W. Werner | |
| 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 | |
| 262-6220-00L | Molecular Dynamics Simulations with Applications in Soft Matter | W | 3 credits | 3V | external organisers | |
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