Search result: Courses in Spring Semester 2020
Computational Biology and Bioinformatics Master ![]() More informations at: https://www.cbb.ethz.ch | ||||||||||||||||||||||||
![]() 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: https://video.ethz.ch/lectures.html | ||||||||||||||||||||||||
![]() ![]() At least 18 ECTS need to be acquired in this category. | ||||||||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||
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252-0063-00L | Data Modelling and Databases ![]() ![]() | W | 7 credits | 4V + 2U | ||||||||||||||||||||
252-0063-00 V | Data Modelling and Databases | 4 hrs |
| C. Zhang | ||||||||||||||||||||
252-0063-00 U | Data Modelling and Databases Groups are selected in myStudies. | 2 hrs |
| 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 | ||||||||||||||||||||
401-0674-00 G | Numerical Methods for Partial Differential Equations This course is designed in a flipped classroom format based on video tutorials and supplemented by a weekly question-and-answer session, for which attendance is highly recommended. | 2 hrs |
| R. Hiptmair | ||||||||||||||||||||
401-0674-00 U | Numerical Methods for Partial Differential Equations Groups are selected in myStudies. | 2 hrs |
| R. Hiptmair | ||||||||||||||||||||
401-0674-00 P | Numerical Methods for Partial Differential Equations Homework C++ coding projects for the course "Numerical Methods for Partial Differential Equations" | 2 hrs | R. Hiptmair | |||||||||||||||||||||
401-0674-00 A | Numerical Methods for Partial Differential Equations Video guided self-study or group-study for the course "Numerical Methods for Partial Differential Equations" | 4 hrs | R. Hiptmair | |||||||||||||||||||||
401-3052-05L | Graph Theory ![]() | W | 5 credits | 2V + 1U | ||||||||||||||||||||
401-3052-05 V | Graph Theory | 28s hrs |
| B. Sudakov | ||||||||||||||||||||
401-3052-05 U | Graph Theory | 7s hrs |
| 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 | ||||||||||||||||||||
227-1034-00 V | Computational Vision (University of Zurich) **Course at University of Zurich** | 2 hrs |
| D. Kiper | ||||||||||||||||||||
227-1034-00 U | Computational Vision (University of Zurich) **Course at University of Zurich** Exercise dates by arrangement. | 1 hrs | D. Kiper | |||||||||||||||||||||
227-0558-00L | Principles of Distributed Computing ![]() | W | 7 credits | 2V + 2U + 2A | ||||||||||||||||||||
227-0558-00 V | Principles of Distributed Computing | 2 hrs |
| R. Wattenhofer, M. Ghaffari | ||||||||||||||||||||
227-0558-00 U | Principles of Distributed Computing In Gruppen | 2 hrs |
| R. Wattenhofer, M. Ghaffari | ||||||||||||||||||||
227-0558-00 A | Principles of Distributed Computing No presence required. Creative task outside the regular weekly exercises. | 2 hrs | R. Wattenhofer, M. Ghaffari | |||||||||||||||||||||
401-3632-00L | Computational Statistics | W | 8 credits | 3V + 1U | ||||||||||||||||||||
401-3632-00 V | Computational Statistics | 3 hrs |
| M. H. Maathuis | ||||||||||||||||||||
401-3632-00 U | Computational Statistics A "Präsenzstunde" directly following the exercises will be offered Friday 11-12 in HG G 5. | 1 hrs |
| M. H. Maathuis | ||||||||||||||||||||
101-0178-01L | Uncertainty Quantification in Engineering ![]() | W | 3 credits | 2G | ||||||||||||||||||||
101-0178-01 G | Uncertainty Quantification in Engineering | 2 hrs |
| S. Marelli | ||||||||||||||||||||
252-0526-00L | Statistical Learning Theory ![]() | W | 7 credits | 3V + 2U + 1A | ||||||||||||||||||||
252-0526-00 V | Statistical Learning Theory | 3 hrs |
| J. M. Buhmann, C. Cotrini Jimenez | ||||||||||||||||||||
252-0526-00 U | Statistical Learning Theory | 2 hrs |
| J. M. Buhmann, C. Cotrini Jimenez | ||||||||||||||||||||
252-0526-00 A | Statistical Learning Theory | 1 hrs | J. M. Buhmann, C. Cotrini Jimenez | |||||||||||||||||||||
227-0216-00L | Control Systems II ![]() | W | 6 credits | 4G | ||||||||||||||||||||
227-0216-00 G | Control Systems II | 4 hrs |
| R. Smith | ||||||||||||||||||||
151-0566-00L | Recursive Estimation ![]() | W | 4 credits | 2V + 1U | ||||||||||||||||||||
151-0566-00 V | Recursive Estimation The lecture starts in the second week of the Semester. | 2 hrs |
| R. D'Andrea | ||||||||||||||||||||
151-0566-00 U | Recursive Estimation The exercise starts in the second week of the Semester. | 1 hrs |
| R. D'Andrea | ||||||||||||||||||||
401-3642-00L | Brownian Motion and Stochastic Calculus ![]() | W | 10 credits | 4V + 1U | ||||||||||||||||||||
401-3642-00 V | Brownian Motion and Stochastic Calculus Lectures will be recorded and published weekly on the Videoportal (https://video.ethz.ch/lectures/d-math/2020/spring/401-3642-00L.html) | 4 hrs |
| W. Werner | ||||||||||||||||||||
401-3642-00 U | Brownian Motion and Stochastic Calculus Groups are selected in myStudies. See at https://metaphor.ethz.ch/x/2020/fs/401-3642-00L/ | 1 hrs |
| W. Werner | ||||||||||||||||||||
401-3602-00L | Applied Stochastic Processes ![]() | W | 8 credits | 3V + 1U | ||||||||||||||||||||
401-3602-00 V | Applied Stochastic Processes Does not take place this semester. | 3 hrs | not available | |||||||||||||||||||||
401-3602-00 U | Applied Stochastic Processes Does not take place this semester. | 1 hrs | not available | |||||||||||||||||||||
636-0530-00L | High Performance Computing | W | 4 credits | 4G | ||||||||||||||||||||
636-0530-00 G | High Performance Computing (University of Basel) **Course at University of Basel** https://vorlesungsverzeichnis.unibas.ch/en/home?id=246743 | 4 hrs | external organisers | |||||||||||||||||||||
262-6220-00L | Molecular Dynamics Simulations with Applications in Soft Matter | W | 3 credits | 3V | ||||||||||||||||||||
262-6220-00 V | Molecular Dynamics Simulations with Applications in Soft Matter (Uni Basel) Does not take place this semester. **Course at University of Basel** | 3 hrs | external organisers | |||||||||||||||||||||
262-0200-00L | Bayesian Phylodynamics | W | 4 credits | 2G + 2A | ||||||||||||||||||||
262-0200-00 G | Bayesian Phylodynamics ***ATTENTION: Starting with the lecture on March18, the Bayesian Phylodynamics lecture will be broadcasted using a Zoom videoconference. The lecturer will inform the students about the URL to participate in the online course*** | 2 hrs |
| T. Stadler, T. Vaughan | ||||||||||||||||||||
262-0200-00 A | Bayesian Phylodynamics | 2 hrs | T. Stadler, T. Vaughan | |||||||||||||||||||||
261-5113-00L | Computational Challenges in Medical Genomics ![]() ![]() Number of participants limited to 20. | W | 2 credits | 2S | ||||||||||||||||||||
261-5113-00 S | Computational Challenges in Medical Genomics | 2 hrs |
| 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 | ||||||||||||||||||||
262-6240-00 V | Distributed Information Systems (University of Basel) **Course at University of Basel** https://vorlesungsverzeichnis.unibas.ch/de/recherche?id=246741 | 2 hrs | external organisers | |||||||||||||||||||||
252-0834-00L | Information Systems for Engineers ![]() Wird ab HS20 nur in Herbstsemester angeboten. | W | 4 credits | 2V + 1U | ||||||||||||||||||||
252-0834-00 V | Information Systems for Engineers | 2 hrs |
| G. Fourny | ||||||||||||||||||||
252-0834-00 U | Information Systems for Engineers Groups are selected in myStudies. | 1 hrs |
| G. Fourny | ||||||||||||||||||||
636-0022-00L | Design of Experiments | W | 4 credits | 3G | ||||||||||||||||||||
636-0022-00 G | Design of Experiments | 3 hrs |
| 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 | ||||||||||||||||||||
252-3900-00 V | Big Data for Engineers | 2 hrs |
| G. Fourny | ||||||||||||||||||||
252-3900-00 U | Big Data for Engineers Groups are selected in myStudies. | 2 hrs |
| G. Fourny | ||||||||||||||||||||
252-3900-00 A | Big Data for Engineers | 1 hrs | G. Fourny |
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