Search result: Courses in Spring Semester 2022
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. | |||||||||||||||||||||||||||
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![]() ![]() ![]() Course units are offered in the autumn semester. | |||||||||||||||||||||||||||
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Number | Title | Type | ECTS | Hours | Lecturers | ||||||||||||||||||||||
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401-3632-00L | Computational Statistics | W | 8 credits | 3V + 1U | |||||||||||||||||||||||
401-3632-00 V | Computational Statistics | 3 hrs |
| N. Meinshausen | |||||||||||||||||||||||
401-3632-00 U | Computational Statistics A "Präsenzstunde" directly following the exercises will be offered Friday 11-12 in HG G 5. | 1 hrs |
| N. Meinshausen | |||||||||||||||||||||||
![]() ![]() ![]() Course units are offered in the autumn semester. | |||||||||||||||||||||||||||
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Number | Title | Type | ECTS | Hours | Lecturers | ||||||||||||||||||||||
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 Online lecture: This lecture will primarily take place online. Reserved rooms will remain blocked on campus for students to follow the course from there. | 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 | ||||||||||||||||||||||||
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 Findet im ETA F 5 mit Videoübertragung ins ETF E 1 statt | 4 hrs |
| A. Krause, F. Yang | |||||||||||||||||||||||
252-0220-00 U | Introduction to Machine Learning | 2 hrs |
| A. Krause, F. Yang | |||||||||||||||||||||||
252-0220-00 A | Introduction to Machine Learning No presence required. | 1 hrs | A. Krause, F. Yang | ||||||||||||||||||||||||
401-4632-15L | Causality ![]() | W | 4 credits | 2G | |||||||||||||||||||||||
401-4632-15 G | Causality Does not take place this semester. The lecture course "Causality" will be replaced by a seminar. | 2 hrs | to be announced | ||||||||||||||||||||||||
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 Groups are selected in myStudies. 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 | 4 hrs |
| M. Schweizer | |||||||||||||||||||||||
401-3642-00 U | Brownian Motion and Stochastic Calculus Groups are selected in myStudies. | 1 hrs |
| M. Schweizer | |||||||||||||||||||||||
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 | |||||||||||||||||||||||
401-4627-00L | Empirical Process Theory and Applications | W | 4 credits | 2V | |||||||||||||||||||||||
401-4627-00 V | Empirical Process Theory and Applications | 2 hrs |
| S. van de Geer | |||||||||||||||||||||||
401-3629-00L | Quantitative Risk Management ![]() | W | 4 credits | 2V + 1U | |||||||||||||||||||||||
401-3629-00 V | Quantitative Risk Management | 2 hrs |
| P. Cheridito | |||||||||||||||||||||||
401-3629-00 U | Quantitative Risk Management | 1 hrs |
| P. Cheridito | |||||||||||||||||||||||
261-5110-00L | Optimization for Data Science ![]() | W | 10 credits | 3V + 2U + 4A | |||||||||||||||||||||||
261-5110-00 V | Optimization for Data Science | 3 hrs |
| B. Gärtner, N. He | |||||||||||||||||||||||
261-5110-00 U | Optimization for Data Science | 2 hrs |
| B. Gärtner, N. He | |||||||||||||||||||||||
261-5110-00 A | Optimization for Data Science | 4 hrs | B. Gärtner, N. He | ||||||||||||||||||||||||
252-0526-00L | Statistical Learning Theory ![]() | W | 8 credits | 3V + 2U + 2A | |||||||||||||||||||||||
252-0526-00 V | Statistical Learning Theory Does not take place this semester. | 3 hrs | J. M. Buhmann | ||||||||||||||||||||||||
252-0526-00 U | Statistical Learning Theory Does not take place this semester. | 2 hrs | J. M. Buhmann | ||||||||||||||||||||||||
252-0526-00 A | Statistical Learning Theory Does not take place this semester. | 2 hrs | J. M. Buhmann | ||||||||||||||||||||||||
227-0432-00L | Learning, Classification and Compression ![]() | W | 4 credits | 2V + 1U | |||||||||||||||||||||||
227-0432-00 V | Learning, Classification and Compression | 2 hrs |
| E. Riegler | |||||||||||||||||||||||
227-0432-00 U | Learning, Classification and Compression | 1 hrs |
| E. Riegler | |||||||||||||||||||||||
636-0702-00L | Statistical Models in Computational Biology | W | 6 credits | 2V + 1U + 2A | |||||||||||||||||||||||
636-0702-00 V | Statistical Models in Computational Biology This lecture will take place online only (via Zoom). Link will be send to registered students in due time. Room reserved in Basel: Oppenheim (BSD G205) Rom reserved in Zürich: HG D 16.2 | 2 hrs |
| N. Beerenwinkel | |||||||||||||||||||||||
636-0702-00 U | Statistical Models in Computational Biology This lecture will take place online only (via Zoom). Link will be send to registered students in due time. Room reserved in Basel: Oppenheim (BSD G205) Rom reserved in Zürich: HG D 16.2 | 1 hrs |
| N. Beerenwinkel | |||||||||||||||||||||||
636-0702-00 A | Statistical Models in Computational Biology Project work, no fixed presence required. | 2 hrs | N. Beerenwinkel | ||||||||||||||||||||||||
401-6222-00L | Robust and Nonlinear Regression ![]() | W | 2 credits | 2G | |||||||||||||||||||||||
447-6222-01 G | Robust Regression Block course on 13.06.22 / 20.06.22 | 10.5s hrs |
| A. F. Ruckstuhl | |||||||||||||||||||||||
447-6222-02 G | Nonlinear Regression Block course on 20.06.22 / 27.06.22 | 10.5s 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 as an incoming student. UZH Module Code: STA408 Mind the enrolment deadlines at UZH: https://www.uzh.ch/cmsssl/en/studies/application/deadlines.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 Offered for the last time in FS 2022 | 2 hrs |
| M. Mächler | |||||||||||||||||||||||
401-8628-00L | Survival Analysis (University of Zurich) No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH as an incoming student. UZH Module Code: STA425 Mind the enrolment deadlines at UZH: https://www.uzh.ch/cmsssl/en/studies/application/deadlines.html | W | 3 credits | 1.5G | |||||||||||||||||||||||
401-8628-00 G | Survival Analysis (University of Zurich) **Course at University of Zurich** | 1.5 hrs |
| University lecturers | |||||||||||||||||||||||
227-0434-10L | Mathematics of Information ![]() | W | 8 credits | 3V + 2U + 2A | |||||||||||||||||||||||
227-0434-10 V | Mathematics of Information Hybride Veranstaltung, die Veranstaltung kann in Präsenz oder online verfolgt werden. | 3 hrs |
| H. Bölcskei | |||||||||||||||||||||||
227-0434-10 U | Mathematics of Information Hybride Veranstaltung, die Veranstaltung kann in Präsenz oder online verfolgt werden. | 2 hrs |
| H. Bölcskei | |||||||||||||||||||||||
227-0434-10 A | Mathematics of Information | 2 hrs | H. Bölcskei | ||||||||||||||||||||||||
401-3904-22L | Convex Optimization | W | 6 credits | 3G | |||||||||||||||||||||||
401-3904-22 G | Convex Optimization | 3 hrs |
| A. A. Kurpisz | |||||||||||||||||||||||
263-5300-00L | Guarantees for Machine Learning ![]() ![]() Number of participants limited to 30. The course will take place next autumn semester 2022. | W | 7 credits | 3G + 3A | |||||||||||||||||||||||
263-5300-00 G | Guarantees for Machine Learning Does not take place this semester. | 3 hrs |
| F. Yang | |||||||||||||||||||||||
263-5300-00 A | Guarantees for Machine Learning Does not take place this semester. | 3 hrs | F. Yang |
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