Search result: Courses in Spring Semester 2021
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. | |||||||||||||||||||||||||||
Master Studies (Programme Regulations 2020) | |||||||||||||||||||||||||||
Subject Specific Electives | |||||||||||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | ||||||||||||||||||||||
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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 The lecturers will communicate the exact lesson times of ONLINE courses. | 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 Link | 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 Q&A session Wed 16-17 | 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 | 2 hrs |
| C. Heinze-Deml | |||||||||||||||||||||||
401-3602-00L | Applied Stochastic Processes | W | 8 credits | 3V + 1U | |||||||||||||||||||||||
401-3602-00 V | Applied Stochastic Processes | 3 hrs |
| V. Tassion | |||||||||||||||||||||||
401-3602-00 U | Applied Stochastic Processes Groups are selected in myStudies. Thu 9-10 or Thu 12-13 | 1 hrs |
| V. Tassion | |||||||||||||||||||||||
401-3642-00L | Brownian Motion and Stochastic Calculus | W | 10 credits | 4V + 1U | |||||||||||||||||||||||
401-3642-00 V | Brownian Motion and Stochastic Calculus | 4 hrs |
| W. Werner | |||||||||||||||||||||||
401-3642-00 U | Brownian Motion and Stochastic Calculus Groups are selected in myStudies. | 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 | |||||||||||||||||||||||
401-4627-00L | Empirical Process Theory and Applications | W | 4 credits | 2V | |||||||||||||||||||||||
401-4627-00 V | Empirical Process Theory and Applications Online via Zoom | 2 hrs |
| S. van de Geer | |||||||||||||||||||||||
401-4637-67L | On Hypothesis Testing | W | 4 credits | 2V | |||||||||||||||||||||||
401-4637-67 V | On Hypothesis Testing | 2 hrs |
| F. Balabdaoui | |||||||||||||||||||||||
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, D. Steurer, N. He | |||||||||||||||||||||||
261-5110-00 U | Optimization for Data Science | 2 hrs |
| B. Gärtner, D. Steurer, N. He | |||||||||||||||||||||||
261-5110-00 A | Optimization for Data Science | 4 hrs | B. Gärtner, D. Steurer, N. He | ||||||||||||||||||||||||
252-0526-00L | Statistical Learning Theory | W | 8 credits | 3V + 2U + 2A | |||||||||||||||||||||||
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 | 2 hrs | J. M. Buhmann, C. Cotrini Jimenez | ||||||||||||||||||||||||
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 | |||||||||||||||||||||||
252-3005-00L | Natural Language Processing Number of participants limited to 400. | W | 5 credits | 2V + 1U + 1A | |||||||||||||||||||||||
252-3005-00 V | Natural Language Processing | 2 hrs |
| R. Cotterell | |||||||||||||||||||||||
252-3005-00 U | Natural Language Processing | 1 hrs |
| R. Cotterell | |||||||||||||||||||||||
252-3005-00 A | Natural Language Processing | 1 hrs | R. Cotterell | ||||||||||||||||||||||||
636-0702-00L | Statistical Models in Computational Biology | W | 6 credits | 2V + 1U + 2A | |||||||||||||||||||||||
636-0702-00 V | Statistical Models in Computational Biology Starts at 12:15. This course will be held online only via Zoom throughout the complete semester. The lecturers will communicate the exact lesson times of ONLINE courses. | 2 hrs |
| N. Beerenwinkel | |||||||||||||||||||||||
636-0702-00 U | Statistical Models in Computational Biology Starts at 14:15. The tutorial will be held online only via Zoom throughout the complete semester. The lecturers will communicate the exact lesson times of ONLINE courses. | 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
Does not take place this semester. Block course | 12s hrs | |||||||||||||||||||||||||
401-6222-00 U | Robust and Nonlinear Regression
Does not take place this semester. Block course | 9s hrs | |||||||||||||||||||||||||
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: Link | 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 Does not take place this semester. | 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. UZH Module Code: STA425 Mind the enrolment deadlines at UZH: Link | 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 | 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 |
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