Search result: Courses in Autumn Semester 2022
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 | |||||||||||||||||||||||||||
Statistical Modelling | |||||||||||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | ||||||||||||||||||||||
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401-3622-00L | Statistical Modelling | W | 8 credits | 4G | |||||||||||||||||||||||
401-3622-00 G | Statistical Modelling | 4 hrs |
| P. L. Bühlmann | |||||||||||||||||||||||
401-4623-00L | Time Series Analysis | W | 4 credits | 2G | |||||||||||||||||||||||
401-4623-00 G | Time Series Analysis | 2 hrs |
| N. Meinshausen | |||||||||||||||||||||||
Applied Statistics | |||||||||||||||||||||||||||
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 | 1 hrs |
| L. Meier | |||||||||||||||||||||||
Mathematical Statistics The two core courses Fundamentals of Mathematical Statistics (401-3621-00L) and Likelihood Inference (401-8623-00L) are similar in content. Therefore only one of them can be recognised towards the Master’s degree in the core course area «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 as an incoming student. UZH Module Code: STA402 Mind the enrolment deadlines at UZH: Link | W | 5 credits | 3G | |||||||||||||||||||||||
401-8623-00 G | Likelihood Inference (University of Zurich) **Course at University of Zurich** | 3 hrs |
| University lecturers | |||||||||||||||||||||||
Subject Specific Electives | |||||||||||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | ||||||||||||||||||||||
401-3601-00L | Probability Theory At most one of the three course units (Bachelor Core Courses) 401-3461-00L Functional Analysis I 401-3531-00L Differential Geometry I 401-3601-00L Probability Theory can be recognised for the Master's degree in Mathematics or Applied Mathematics. In this case, you cannot change the category assignment by yourself in myStudies but must take contact with the Study Administration Office (Link) after having received the credits. Moreover, 401-3601-00L Probability Theory can only be recognised for the Master Programme in Mathematics if neither 401-3642-00L Brownian Motion and Stochastic Calculus nor 401-3602-00L Applied Stochastic Processes has been recognised for the Bachelor Programme. | W | 10 credits | 4V + 1U | |||||||||||||||||||||||
401-3601-00 V | Probability Theory | 4 hrs |
| W. Werner, D. Schröder | |||||||||||||||||||||||
401-3601-00 U | Probability Theory Groups are selected in myStudies. Tue 14-15 or Tue 15-16 starting in the second week of the semester. | 1 hrs |
| W. Werner, D. Schröder | |||||||||||||||||||||||
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 | ||||||||||||||||||||||||
401-3612-00L | Stochastic Simulation | W | 5 credits | 2V + 1U | |||||||||||||||||||||||
401-3612-00 V | Stochastic Simulation On 20 September 2022 the course takes place in HG F 3. | 2 hrs |
| F. Sigrist | |||||||||||||||||||||||
401-3612-00 U | Stochastic Simulation | 1 hrs |
| F. Sigrist | |||||||||||||||||||||||
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 | 1.5 credits | 1G | |||||||||||||||||||||||
401-6217-00 G | Using R for Data Analysis and Graphics (Part II) | 14s hrs |
| M. Mächler | |||||||||||||||||||||||
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 | |||||||||||||||||||||||
447-6289-00L | 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 | |||||||||||||||||||||||
447-6289-00 G | Stichproben-Erhebungen
Blockkurs am 21.11.; 28.11.; 05.12.; 12.12.; 19.12.2022 Weitere Informationen unter Link | 17.5s hrs |
| B. Hulliger | |||||||||||||||||||||||
401-3628-14L | Bayesian Statistics | W | 4 credits | 2V | |||||||||||||||||||||||
401-3628-14 V | Bayesian Statistics Does not take place this semester. | 2 hrs | |||||||||||||||||||||||||
401-3901-00L | Linear & Combinatorial Optimization | W | 11 credits | 4V + 2U | |||||||||||||||||||||||
401-3901-00 V | Linear & Combinatorial Optimization (Mathematical Optimization) | 4 hrs |
| R. Zenklusen | |||||||||||||||||||||||
401-3901-00 U | Linear & Combinatorial Optimization (Mathematical Optimization) Groups are selected in myStudies. Thu 14-16 or Fri 10-12 or Fr 12-14 or Fri 14-16 (depending on demand) | 2 hrs |
| R. Zenklusen | |||||||||||||||||||||||
401-4944-20L | Mathematics of Data Science | W | 8 credits | 4G | |||||||||||||||||||||||
401-4944-20 G | Mathematics of Data Science | 4 hrs |
| A. Bandeira | |||||||||||||||||||||||
252-0535-00L | Advanced Machine Learning | W | 10 credits | 3V + 2U + 4A | |||||||||||||||||||||||
252-0535-00 V | Advanced Machine Learning Freitag 8-10 HG F1 mit Videoübertragung ins HG F3 | 3 hrs |
| J. M. Buhmann, C. Cotrini Jimenez | |||||||||||||||||||||||
252-0535-00 U | Advanced Machine Learning Tutorials and QA sessions: Please attend only the tutorial assigned to you by the first letter of your surname. In case of collisions, please attend via Zoom the last tutorial of the week or watch its recording later. We do not attend requests to change tutorials. QA sessions will happen fully remotely with no recording happening. Wed 14-16 - CAB 61 - surname A-L Fri 14-16 - CAB G1 - surname M-Z (offered also via Zoom to anyone) Thu 17-18 (QA session) - Fully virtual through Zoom All tutorial sessions are identical. | 2 hrs |
| J. M. Buhmann, C. Cotrini Jimenez | |||||||||||||||||||||||
252-0535-00 A | Advanced Machine Learning Project Work, no fixed presence required. | 4 hrs | J. M. Buhmann, C. Cotrini Jimenez | ||||||||||||||||||||||||
252-3005-00L | Natural Language Processing Number of participants limited to 400. | W | 7 credits | 3V + 3U + 1A | |||||||||||||||||||||||
252-3005-00 V | Natural Language Processing | 3 hrs |
| R. Cotterell | |||||||||||||||||||||||
252-3005-00 U | Natural Language Processing | 3 hrs |
| R. Cotterell | |||||||||||||||||||||||
252-3005-00 A | Natural Language Processing | 1 hrs | R. Cotterell | ||||||||||||||||||||||||
227-0423-00L | Neural Network Theory | W | 4 credits | 2V + 1U | |||||||||||||||||||||||
227-0423-00 V | Neural Network Theory Does not take place this semester. Will be offered again in autumn 2023. | 2 hrs | H. Bölcskei | ||||||||||||||||||||||||
227-0423-00 U | Neural Network Theory Does not take place this semester. Will be offered again in autumn 2023. | 1 hrs | H. Bölcskei | ||||||||||||||||||||||||
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 as an incoming student. 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 (University of Zurich) **Course at University of Zurich** | 3 hrs |
| 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 as an incoming student. UZH Module Code: STA404 Mind the enrolment deadlines at UZH: Link | W | 6 credits | 4G | |||||||||||||||||||||||
401-8625-00 G | Clinical Biostatistics (University of Zurich) **Course at University of Zurich** | 4 hrs |
| University lecturers |
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