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. | ||||||||||||||||||||||||
Core Courses 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. | ||||||||||||||||||||||||
Regression | ||||||||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||
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401-0649-00L | Applied Statistical Regression | W | 5 credits | 2V + 1U | ||||||||||||||||||||
401-0649-00 V | Applied Statistical Regression | 2 hrs |
| M. Dettling | ||||||||||||||||||||
401-0649-00 U | Applied Statistical Regression Mon 10-12 might not work for all different programmes where this course is offered. On sufficient demand, other slots (tentatively Mon 15-17 or Fri 10-12) for the exercise sessions can be offered. | 1 hrs | M. Dettling | |||||||||||||||||||||
Analysis of Variance and Design of Experiments | ||||||||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||
401-0625-01L | Applied Analysis of Variance and Experimental Design | W | 5 credits | 2V + 1U | ||||||||||||||||||||
401-0625-01 V | Applied Analysis of Variance and Experimental Design | 2 hrs |
| L. Meier | ||||||||||||||||||||
401-0625-01 U | Applied Analysis of Variance and Experimental Design Mon 15-17 might not work for all different programmes where this course is offered. On sufficient demand, other slots for the exercise sessions can be offered. | 1 hrs |
| L. Meier | ||||||||||||||||||||
Multivariate Statistics No course offerings in this semester. | ||||||||||||||||||||||||
Time Series and Stochastic Processes | ||||||||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||
401-4623-00L | Time Series Analysis | W | 6 credits | 3G | ||||||||||||||||||||
401-4623-00 G | Time Series Analysis Does not take place this semester. | 3 hrs | not available | |||||||||||||||||||||
Mathematical Statistics | ||||||||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||
401-3621-00L | Fundamentals of Mathematical Statistics | W | 10 credits | 4V + 1U | ||||||||||||||||||||
401-3621-00 V | Fundamentals of Mathematical Statistics | 4 hrs |
| S. van de Geer | ||||||||||||||||||||
401-3621-00 U | Fundamentals of Mathematical Statistics | 1 hrs |
| S. van de Geer | ||||||||||||||||||||
401-8623-00L | Likelihood Inference (University of Zurich) No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH. UZH Module Code: STA402 Mind the enrolment deadlines at UZH: Link | W | 5 credits | 3G | ||||||||||||||||||||
401-8623-00 G | Likelihood Inference **Course at Uni Zurich** | 3 hrs |
| University lecturers | ||||||||||||||||||||
Specialization Areas and Electives | ||||||||||||||||||||||||
Statistical and Mathematical Courses | ||||||||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||
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 |
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