Search result: Course units in Autumn Semester 2017
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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401-6273-00L | Bayes Methods Does not take place this semester. Special Students "University of Zurich (UZH)" in the Master Program in Biostatistics at UZH cannot register for this course unit electronically. Forward the lecturer's written permission to attend to the Registrar's Office. Alternatively, the lecturer may also send an email directly to Link. The Registrar's Office will then register you for the course. | W | 2 credits | 2G | ||
401-3913-01L | Mathematical Foundations for Finance | W | 4 credits | 3V + 2U | M. Schweizer, E. W. Farkas | |
401-3901-00L | Mathematical Optimization | W | 11 credits | 4V + 2U | R. Weismantel | |
401-6282-00L | Statistical Analysis of High-Throughput Genomic and Transcriptomic Data (University of Zurich) No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH. UZH Module Code: STA426 Mind the enrolment deadlines at UZH: Link | W | 5 credits | 3G | H. Rehrauer, M. Robinson | |
401-8625-00L | Clinical Biostatistics (University of Zurich) No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH. UZH Module Code: STA404 Mind the enrolment deadlines at UZH: Link | W | 5 credits | 4G | University lecturers | |
252-0535-00L | Machine Learning | W | 8 credits | 3V + 2U + 2A | J. M. Buhmann | |
Statistical and Mathematical Courses: not eligible for credits | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
401-6215-00L | Using R for Data Analysis and Graphics (Part I) | E- | 1.5 credits | 1G | A. Drewek, M. Mächler | |
Application Areas 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 (Link) 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 (Link) after having received the credits. The Study Administration Office needs the Advisor's consent. | ||||||
Seminar or Semester Paper | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
401-3620-67L | Student Seminar in Statistics: Computer Age Statistical Inference Number of participants limited to 24. 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. | W | 4 credits | 2S | M. H. Maathuis, P. L. Bühlmann, N. Meinshausen, S. van de Geer | |
401-3630-06L | Semester Paper Successful participation in the course unit 401-2000-00L Scientific Works in Mathematics is required. For more information, see Link | 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 Link | W | 4 credits | 6A | Supervisors | |
252-5051-00L | Advanced Topics in Machine Learning Number of participants limited to 40. | W | 2 credits | 2S | J. M. Buhmann, T. Hofmann, A. Krause, G. Rätsch | |
GESS Science in Perspective | ||||||
» see GESS Science in Perspective: Type A: Enhancement of Reflection Capability | ||||||
» see GESS Science in Perspective: Language Courses ETH/UZH | ||||||
» Recommended GESS Science in Perspective (Type B) for D-MATH. | ||||||
Master's Thesis | ||||||
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. Mandatory for all Bachelor and Master students with matriculation in the autumn semester 2014 or later. Directive Link | O | 0 credits | E. Kowalski | ||
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 Link | O | 30 credits | 57D | Supervisors | |
Reading Group | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
436-0000-00L | Reading Group | Z | 0 credits | 9A | further lecturers |
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