Search result: Course units in Spring Semester 2019
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. | ||||||
![]() In each subject area, the core courses offered are normally mathematical as well as application-oriented in content. For each subject area, only one of these is recognised for the Master degree. | ||||||
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Number | Title | Type | ECTS | Hours | Lecturers | |
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401-3622-00L | Regression Does not take place this semester. | W | 8 credits | 4G | not available | |
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Number | Title | Type | ECTS | Hours | Lecturers | |
401-6102-00L | Multivariate Statistics | W | 4 credits | 2G | N. Meinshausen | |
401-0102-00L | Applied Multivariate Statistics | W | 5 credits | 2V + 1U | F. Sigrist | |
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Number | Title | Type | ECTS | Hours | Lecturers | |
401-6624-11L | Applied Time Series | W | 5 credits | 2V + 1U | M. Dettling | |
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Number | Title | Type | ECTS | Hours | Lecturers | |
401-4632-15L | Causality ![]() | W | 4 credits | 2G | C. Heinze-Deml | |
401-3632-00L | Computational Statistics | W | 8 credits | 3V + 1U | M. H. Maathuis | |
401-3602-00L | Applied Stochastic Processes ![]() | W | 8 credits | 3V + 1U | V. Tassion | |
401-3642-00L | Brownian Motion and Stochastic Calculus ![]() | W | 10 credits | 4V + 1U | W. Werner | |
401-6228-00L | Programming with R for Reproducible Research ![]() | W | 1 credit | 1G | M. Mächler | |
401-4627-00L | Empirical Process Theory with Applications in Statistics and Machine Learning ![]() | W | 4 credits | 2V | S. van de Geer | |
401-3629-00L | Quantitative Risk Management | W | 4 credits | 2V + 1U | P. Cheridito | |
401-4658-00L | Computational Methods for Quantitative Finance: PDE Methods ![]() ![]() | W | 6 credits | 3V + 1U | L. Herrmann, K. Kirchner | |
401-2284-00L | Measure and Integration ![]() | W | 6 credits | 3V + 2U | J. Teichmann | |
401-3903-11L | Geometric Integer Programming | W | 6 credits | 2V + 1U | R. Weismantel, J. Paat, M. Schlöter | |
401-4904-00L | Combinatorial Optimization ![]() | W | 6 credits | 2V + 1U | R. Zenklusen | |
261-5110-00L | Optimization for Data Science ![]() | W | 8 credits | 3V + 2U + 2A | B. Gärtner, D. Steurer | |
252-0526-00L | Statistical Learning Theory ![]() | W | 7 credits | 3V + 2U + 1A | J. M. Buhmann | |
636-0702-00L | Statistical Models in Computational Biology | W | 6 credits | 2V + 1U + 2A | N. Beerenwinkel | |
701-0104-00L | Statistical Modelling of Spatial Data | W | 3 credits | 2G | A. J. Papritz | |
401-6222-00L | Robust and Nonlinear Regression ![]() ![]() Does not take place this semester. | W | 2 credits | 1V + 1U | ||
447-6236-00L | Statistics for Survival Data ![]() Does not take place this semester. | W | 2 credits | 1V + 1U | ||
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 | University lecturers | |
401-4626-00L | Mixed Models | W | 4 credits | 2V | 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: http://www.uzh.ch/studies/application/mobilitaet_en.html | W | 3 credits | 1.5G | University lecturers | |
![]() ![]() Students select one area of application and look for suitable courses in which quantitative methods and modeling play a role. They need the consent by the Advisor (http://stat.ethz.ch/~kalisch/) that the chosen courses are eligible in the category "Application Areas". For the category assignment of eligible courses keep the choice "no category" and take contact with the Study Administration Office (www.math.ethz.ch/studiensekretariat/staff/ekuenti) after having received the credits. The Study Administration Office needs the Advisor's consent. | ||||||
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Number | Title | Type | ECTS | Hours | Lecturers | |
401-4620-00L | Statistics Lab ![]() Number of participants limited to 27. | W | 6 credits | 2S | M. Kalisch, M. H. Maathuis, M. Mächler, L. Meier, N. Meinshausen | |
401-3630-06L | Semester Paper ![]() Successful participation in the course unit 401-2000-00L Scientific Works in Mathematics is required. For more information, see www.math.ethz.ch/intranet/students/study-administration/theses.html | W | 6 credits | 9A | Supervisors | |
401-3630-04L | Semester Paper ![]() Successful participation in the course unit 401-2000-00L Scientific Works in Mathematics is required. For more information, see www.math.ethz.ch/intranet/students/study-administration/theses.html | W | 4 credits | 6A | Supervisors | |
401-3620-19L | Student Seminar in Statistics: Adversarial and Robust Machine Learning ![]() Number of participants limited to 22. Mainly for students from the Mathematics Bachelor and Master Programmes who, in addition to the introductory course unit 401-2604-00L Probability and Statistics, have heard at least one core or elective course in statistics. Also offered in the Master Programmes Statistics resp. Data Science. | W | 4 credits | 2S | P. L. Bühlmann, M. H. Maathuis, N. Meinshausen, S. van de Geer | |
363-1100-00L | Risk Case Study Challenge ![]() Limited number of participants. Please apply for this course via the official website (www.riskcenter.ethz.ch). Once your application is confirmed, registration in myStudies is possible. | W | 3 credits | 2S | B. J. Bergmann, A. Bommier, S. Feuerriegel | |
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» see Science in Perspective: Language Courses ETH/UZH | ||||||
» see Science in Perspective: Type A: Enhancement of Reflection Capability | ||||||
» Recommended Science in Perspective (Type B) for D-MATH | ||||||
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Number | Title | Type | ECTS | Hours | Lecturers | |
401-2000-00L | Scientific Works in Mathematics Target audience: Third year Bachelor students; Master students who cannot document to have received an adequate training in working scientifically. | O | 0 credits | E. Kowalski | ||
401-2000-01L | Lunch Sessions – Thesis Basics for Mathematics Students Details and registration for the optional MathBib training course: https://www.math.ethz.ch/mathbib-schulungen | Z | 0 credits | Speakers | ||
401-4990-02L | Master's Thesis ![]() Only students who fulfil the following criteria are allowed to begin with their Master's thesis: a. successful completion of the Bachelor's programme; b. fulfilling of any additional requirements necessary to gain admission to the Master's programme; c. They have acquired at least 16 credits in the category ‘Core courses‘. Successful participation in the course unit 401-2000-00L Scientific Works in Mathematics is required. For more information, see www.math.ethz.ch/intranet/students/study-administration/theses.html | O | 30 credits | 57D | Supervisors | |
![]() The courses below are only available for MSc students with additional admission requirements. | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
406-0603-AAL | Stochastics (Probability and Statistics) Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement. Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 4 credits | 9R | M. Kalisch |