Search result: Courses in Spring Semester 2020
Statistics Master The following courses belong to the curriculum of the Master's Programme in Statistics. The corresponding credits do not count as external credits even for course units where an enrolment at ETH Zurich is not possible. | ||||||||||||||||||||||||
Specialization Areas and Electives | ||||||||||||||||||||||||
Statistical and Mathematical Courses | ||||||||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||
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401-4632-15L | Causality | W | 4 credits | 2G | ||||||||||||||||||||
401-4632-15 G | Causality | 2 hrs |
| C. Heinze-Deml | ||||||||||||||||||||
401-4627-00L | Empirical Process Theory and Applications | W | 4 credits | 2V | ||||||||||||||||||||
401-4627-00 V | Empirical Process Theory and Applications | 2 hrs |
| S. van de Geer | ||||||||||||||||||||
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 | ||||||||||||||||||||
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 | |||||||||||||||||||||
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 | ||||||||||||||||||||
401-6228-00L | Programming with R for Reproducible Research | W | 1 credit | 1G | ||||||||||||||||||||
401-6228-00 G | Programming with R for Reproducible Research | 14s hrs |
| M. Mächler | ||||||||||||||||||||
401-3629-00L | Quantitative Risk Management | W | 4 credits | 2V + 1U | ||||||||||||||||||||
401-3629-00 V | Quantitative Risk Management Recorded lectures will be posted in the material section of the QRM website https://people.math.ethz.ch/~patrickc/qrm | 2 hrs |
| P. Cheridito | ||||||||||||||||||||
401-3629-00 U | Quantitative Risk Management The QRM lecture and exercise session of March 12 will not take place in the auditorium. A video lecture will be made available on https://video.ethz.ch/lectures/d-math/2020/spring.html | 1 hrs |
| P. Cheridito | ||||||||||||||||||||
401-4658-00L | Computational Methods for Quantitative Finance: PDE Methods | W | 6 credits | 3V + 1U | ||||||||||||||||||||
401-4658-00 V | Computational Methods for Quantitative Finance: PDE Methods Permission from lecturers required for all students.
| 3 hrs |
| C. Schwab | ||||||||||||||||||||
401-4658-00 U | Computational Methods for Quantitative Finance: PDE Methods Groups are selected in myStudies. | 1 hrs |
| C. Schwab | ||||||||||||||||||||
401-2284-00L | Measure and Integration | W | 6 credits | 3V + 2U | ||||||||||||||||||||
401-2284-00 V | Mass und Integral (Measure and Integration) Die Vorlesungen finden ab dem 4. März 2020 bis Semesterende ohne Publikum statt. | 3 hrs |
| F. Da Lio | ||||||||||||||||||||
401-2284-00 U | Mass und Integral Groups are selected in myStudies. Einige Übungsgruppen werden auf Deutsch gehalten. Some exercise classes will be held in English. Für die Übungen vom 4. März 2020 siehe https://metaphor.ethz.ch/x/2020/fs/401-2284-00L/ | 2 hrs |
| F. Da Lio | ||||||||||||||||||||
401-3903-11L | Geometric Integer Programming | W | 6 credits | 2V + 1U | ||||||||||||||||||||
401-3903-11 V | Geometric Integer Programming | 2 hrs |
| J. Paat | ||||||||||||||||||||
401-3903-11 U | Geometric Integer Programming | 1 hrs |
| J. Paat | ||||||||||||||||||||
401-4944-20L | Mathematics of Data Science | W | 8 credits | 4G | ||||||||||||||||||||
401-4944-20 G | Mathematics of Data Science Planned to take place again in the Autumn Semester 2021. | 4 hrs |
| A. Bandeira | ||||||||||||||||||||
227-0434-10L | Mathematics of Information | W | 8 credits | 3V + 2U + 2A | ||||||||||||||||||||
227-0434-10 V | Mathematics of Information | 3 hrs |
| H. Bölcskei | ||||||||||||||||||||
227-0434-10 U | Mathematics of Information | 2 hrs |
| H. Bölcskei | ||||||||||||||||||||
227-0434-10 A | Mathematics of Information | 2 hrs | H. Bölcskei | |||||||||||||||||||||
261-5110-00L | Optimization for Data Science | W | 8 credits | 3V + 2U + 2A | ||||||||||||||||||||
261-5110-00 V | Optimization for Data Science | 3 hrs |
| B. Gärtner, D. Steurer | ||||||||||||||||||||
261-5110-00 U | Optimization for Data Science | 2 hrs |
| B. Gärtner, D. Steurer | ||||||||||||||||||||
261-5110-00 A | Optimization for Data Science | 2 hrs | B. Gärtner, D. Steurer | |||||||||||||||||||||
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 | ||||||||||||||||||||
252-0220-00 V | Introduction to Machine Learning FS20 CORONA: Keine Aufzeichnung / 17.03.20 rb | 4 hrs |
| A. Krause | ||||||||||||||||||||
252-0220-00 U | Introduction to Machine Learning | 2 hrs |
| A. Krause | ||||||||||||||||||||
252-0220-00 A | Introduction to Machine Learning No presence required. | 1 hrs | A. Krause | |||||||||||||||||||||
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 | |||||||||||||||||||||
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 | |||||||||||||||||||||
263-5300-00L | Guarantees for Machine Learning | W | 5 credits | 2V + 2A | ||||||||||||||||||||
263-5300-00 V | Guarantees for Machine Learning Special selection process. Preference is given to Masters and Doctorate students. If need be other criteria are degree program and previous courses taken. | 2 hrs |
| F. Yang | ||||||||||||||||||||
263-5300-00 A | Guarantees for Machine Learning | 2 hrs | F. Yang | |||||||||||||||||||||
636-0702-00L | Statistical Models in Computational Biology | W | 6 credits | 2V + 1U + 2A | ||||||||||||||||||||
636-0702-00 V | Statistical Models in Computational Biology The lecture will be held either in Zurich or Basel and will be transmitted via videoconference to the second location. Lecture will be streamed and recorded | 2 hrs |
| N. Beerenwinkel | ||||||||||||||||||||
636-0702-00 U | Statistical Models in Computational Biology The tutorial will be held either in Zurich or Basel and will be transmitted via videoconference to the second location. | 1 hrs |
| N. Beerenwinkel | ||||||||||||||||||||
636-0702-00 A | Statistical Models in Computational Biology Project work, no fixed presence required. | 2 hrs | N. Beerenwinkel | |||||||||||||||||||||
701-0104-00L | Statistical Modelling of Spatial Data | W | 3 credits | 2G | ||||||||||||||||||||
701-0104-00 G | Statistical Modelling of Spatial Data | 2 hrs |
| A. J. Papritz | ||||||||||||||||||||
401-6222-00L | Robust and Nonlinear Regression | W | 2 credits | 1V + 1U | ||||||||||||||||||||
401-6222-00 V | Robust and Nonlinear Regression
Block course | 12s hrs |
| A. F. Ruckstuhl | ||||||||||||||||||||
401-6222-00 U | Robust and Nonlinear Regression
Block course | 9s hrs |
| A. F. Ruckstuhl | ||||||||||||||||||||
401-8618-00L | Statistical Methods in Epidemiology (University of Zurich) No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH. UZH Module Code: STA408 Mind the enrolment deadlines at UZH: https://www.uzh.ch/cmsssl/en/studies/application/mobilitaet.html | W | 5 credits | 3G | ||||||||||||||||||||
401-8618-00 G | Statistical Methods in Epidemiology (University of Zurich) **Course at University of Zurich** | 3 hrs |
| University lecturers | ||||||||||||||||||||
401-4626-00L | Advanced Statistical Modelling: Mixed Models | W | 4 credits | 2V | ||||||||||||||||||||
401-4626-00 V | Advanced Statistical Modelling: Mixed Models | 2 hrs |
| M. Mächler | ||||||||||||||||||||
447-6236-00L | Statistics for Survival Data | W | 2 credits | 1V + 1U | ||||||||||||||||||||
447-6236-00 V | Statistics for Survival Data
Block course | 10s hrs |
| A. Hauser | ||||||||||||||||||||
447-6236-00 U | Statistics for Survival Data
Block course. | 7.5s hrs |
| A. Hauser | ||||||||||||||||||||
401-8628-00L | Survival Analysis (University of Zurich) No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH. UZH Module Code: STA425 Mind the enrolment deadlines at UZH: http://www.uzh.ch/studies/application/mobilitaet_en.html | W | 3 credits | 1.5G | ||||||||||||||||||||
401-8628-00 G | Survival Analysis **Course at University of Zurich** | 1.5 hrs |
| University lecturers |