Search result: Courses in Autumn Semester 2015
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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401-3601-00L | Probability Theory | W | 10 credits | 4V + 1U | ||||||||||||||||||||
401-3601-00 V | Probability Theory Begins on September 17, 2015 | 4 hrs |
| A.‑S. Sznitman | ||||||||||||||||||||
401-3601-00 U | Probability Theory | 1 hrs |
| A.‑S. Sznitman | ||||||||||||||||||||
401-3627-00L | High-Dimensional Statistics | W | 4 credits | 2V | ||||||||||||||||||||
401-3627-00 V | High-Dimensional Statistics Does not take place this semester. | 2 hrs | P. L. Bühlmann | |||||||||||||||||||||
401-3611-00L | Advanced Topics in Computational Statistics | W | 4 credits | 2V | ||||||||||||||||||||
401-3611-00 V | Advanced Topics in Computational Statistics | 2 hrs |
| M. H. Maathuis, M. Mächler | ||||||||||||||||||||
401-4633-00L | Data Analytics in Organisations and Business | W | 5 credits | 2V + 1U | ||||||||||||||||||||
401-4633-00 V | Data Analytics in Organisations and Business | 2 hrs |
| I. Flückiger | ||||||||||||||||||||
401-4633-00 U | Data Analytics in Organisations and Business | 1 hrs |
| I. Flückiger | ||||||||||||||||||||
401-6217-00L | Using R for Data Analysis and Graphics (Part II) | W | 1 credit | 1G | ||||||||||||||||||||
401-6217-00 G | Using R for Data Analysis and Graphics (Part II) | 14s hrs |
| A. J. Papritz, C. B. Schwierz | ||||||||||||||||||||
401-0627-00L | Smoothing and Nonparametric Regression with Examples | W | 4 credits | 2G | ||||||||||||||||||||
401-0627-00 G | Smoothing and Nonparametric Regression with Examples | 2 hrs |
| S. Beran-Ghosh | ||||||||||||||||||||
401-6201-00L | Resampling Methods 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 | ||||||||||||||||||||
401-6201-00 G | Resampling Methods
Block course on: 18.01.2016 / 25.01.2016 / 01.02.2016. Lectures: 8-10 and 13-15 in HG D 1.1 Exercises: to be announced Exam will take place on 08.02.2016. | 21s hrs | L. Meier | |||||||||||||||||||||
401-6221-00L | Nonparametric Regression 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 | 1 credit | 1G | ||||||||||||||||||||
401-6221-00 G | Nichtparametrische Regression
| 10.5s hrs | ||||||||||||||||||||||
401-6233-00L | Spatial Statistics 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 | 1 credit | 1G | ||||||||||||||||||||
401-6233-00 G | Räumliche Statistik
| 10.5s hrs | ||||||||||||||||||||||
263-5200-00L | Data Mining: Learning from Large Data Sets | W | 4 credits | 2V + 1U | ||||||||||||||||||||
263-5200-00 V | Data Mining: Learning from Large Data Sets | 2 hrs |
| A. Krause | ||||||||||||||||||||
263-5200-00 U | Data Mining: Learning from Large Data Sets | 1 hrs |
| A. Krause | ||||||||||||||||||||
401-6245-00L | Data Mining 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 | 1 credit | 1G | ||||||||||||||||||||
401-6245-00 G | Data-Mining
| 14s hrs | ||||||||||||||||||||||
401-6289-00L | Sampling Surveys 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 | 1G | ||||||||||||||||||||
401-6289-00 G | Stichproben-Erhebungen
| 17.5s hrs | ||||||||||||||||||||||
401-6273-00L | Bayes Methods 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 | ||||||||||||||||||||
401-6273-00 G | Bayes-Methoden
| 21s hrs | ||||||||||||||||||||||
401-3913-01L | Mathematical Foundations for Finance | W | 4 credits | 3V + 2U | ||||||||||||||||||||
401-3913-01 V | Mathematical Foundations for Finance **together with the Uni Zurich** | 3 hrs |
| E. W. Farkas, M. Schweizer | ||||||||||||||||||||
401-3913-01 U | Mathematical Foundations for Finance **together with the Uni Zurich** | 2 hrs |
| E. W. Farkas, M. Schweizer | ||||||||||||||||||||
401-3901-00L | Mathematical Optimization | W | 11 credits | 4V + 2U | ||||||||||||||||||||
401-3901-00 V | Mathematical Optimization | 4 hrs |
| R. Weismantel | ||||||||||||||||||||
401-3901-00 U | Mathematical Optimization | 2 hrs |
| 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 | ||||||||||||||||||||
401-6282-00 G | Statistical Analysis of High-Throughput Genomic and Transcriptomic Data **Course at Uni Zurich** | 3 hrs |
| H. Rehrauer, M. Robinson | ||||||||||||||||||||
401-8625-00L | Statistical Methods in Clinical Research (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 | 3G | ||||||||||||||||||||
401-8625-00 G | Statistical Methods in Clinical Research **Course at Uni Zurich** | 3 hrs | University lecturers | |||||||||||||||||||||
252-0535-00L | Machine Learning | W | 6 credits | 3V + 2U | ||||||||||||||||||||
252-0535-00 V | Machine Learning | 3 hrs |
| J. M. Buhmann | ||||||||||||||||||||
252-0535-00 U | Machine Learning | 2 hrs |
| J. M. Buhmann | ||||||||||||||||||||
252-0523-00L | Computational Biology | W | 6 credits | 3V + 2U | ||||||||||||||||||||
252-0523-00 V | Computational Biology | 3 hrs |
| G. H. Gonnet | ||||||||||||||||||||
252-0523-00 U | Computational Biology | 2 hrs |
| G. H. Gonnet |
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