Search result: Courses in Autumn Semester 2020
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. | ||||||||||||||||||
Master Studies (Programme Regulations 2020) | ||||||||||||||||||
Subject Specific Electives | ||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||
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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. | W | 10 credits | 4V + 1U | ||||||||||||||
401-3601-00 V | Probability Theory The lecturers will communicate the exact lesson times of ONLINE courses. URL for live streaming: Link | 4 hrs |
| A.‑S. Sznitman | ||||||||||||||
401-3601-00 U | Probability Theory Groups are selected in myStudies. Online class All students will be by default enrolled in the online exercise class. Each Tuesday a recording of the exercise class will be available. In-person classes If you want to join an in-person class you will need to register each week for one of the classes. You will receive an email every Monday at 12:00 with a link to register for the class on Tuesday. | 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. The lecturers will communicate the exact lesson times of ONLINE courses. | 2 hrs | P. L. Bühlmann | |||||||||||||||
401-3612-00L | Stochastic Simulation | W | 5 credits | 3G | ||||||||||||||
401-3612-00 G | Stochastic Simulation The lecturers will communicate the exact lesson times of ONLINE courses. | 3 hrs |
| F. Sigrist | ||||||||||||||
401-4619-67L | Advanced Topics in Computational Statistics | W | 4 credits | 2V | ||||||||||||||
401-4619-00 V | Advanced Topics in Computational Statistics Does not take place this semester. | 2 hrs | not available | |||||||||||||||
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) The lecturers will communicate the exact lesson times of ONLINE courses. | 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 The lecturers will communicate the exact lesson times of ONLINE courses. | 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. Weitere Informationen unter Link 16.11.20 23.11.20 30.11.20 07.12.20 14.12.20 Leistungskontrolle am 04.01.2021 | 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 | ||||||||||||||||
447-6273-00L | 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 | ||||||||||||||
447-6273-00 G | Bayes-Methoden
Blockkurs. Weitere Informationen unter Link 09.11.20 16.11.20 23.11.20 30.11.20 07.12.20 14.12.20 Leistungskontrolle am 11.01.2021 | 21s hrs |
| Y.‑L. Grize | ||||||||||||||
401-3901-00L | Mathematical Optimization | W | 11 credits | 4V + 2U | ||||||||||||||
401-3901-00 V | Mathematical Optimization The lecturers will communicate the exact lesson times of ONLINE courses. | 4 hrs |
| R. Zenklusen | ||||||||||||||
401-3901-00 U | 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) The lecturers will communicate the exact lesson times of ONLINE courses. | 2 hrs |
| R. Zenklusen | ||||||||||||||
252-0535-00L | Advanced Machine Learning | W | 10 credits | 3V + 2U + 4A | ||||||||||||||
252-0535-00 V | Advanced Machine Learning The lectures will mostly be given in a lecture hall with limited attendance (at most 50% of lecture hall capacity). It will be possible to join remotely via zoom with acccess to slides, whiteboard, and speaker camera. Students can interact, e.g. ask questions, physically as well as digitally. The lectures will be recorded via zoom’s recording functionality. | 3 hrs |
| J. M. Buhmann, C. Cotrini Jimenez | ||||||||||||||
252-0535-00 U | Advanced Machine Learning | 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 200. | W | 5 credits | 2V + 1U + 1A | ||||||||||||||
252-3005-00 V | Natural Language Processing The lecturers will communicate the exact lesson times of ONLINE courses. | 2 hrs |
| R. Cotterell | ||||||||||||||
252-3005-00 U | Natural Language Processing The lecturers will communicate the exact lesson times of ONLINE courses. | 1 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 «Hybrid». Up to 150 students can attend the course on-site. Further information will be announced to enrolled students by e-mail in the week before the semester starts. The first lecture is on 21.9. | 2 hrs |
| H. Bölcskei | ||||||||||||||
227-0423-00 U | Neural Network Theory «Hybrid». Up to 150 students can attend the course on-site. Further information will be announced to enrolled students by e-mail in the week before the semester starts. The first lecture is on 21.9. | 1 hrs |
| H. Bölcskei | ||||||||||||||
401-4521-70L | Geometric Tomography - Uniqueness, Statistical Reconstruction and Algorithms | W | 4 credits | 2V | ||||||||||||||
401-4521-70 V | Geometric Tomography - Uniqueness, Statistical Reconstruction and Algorithms The lecturers will communicate the exact lesson times of ONLINE courses. | 2 hrs |
| J. Hörrmann | ||||||||||||||
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 (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. 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 | ||||||||||||||
263-3210-00L | Deep Learning | W | 8 credits | 3V + 2U + 2A | ||||||||||||||
263-3210-00 V | Deep Learning The lecturers will communicate the exact lesson times from «online» courses. | 3 hrs |
| T. Hofmann | ||||||||||||||
263-3210-00 U | Deep Learning | 2 hrs |
| T. Hofmann | ||||||||||||||
263-3210-00 A | Deep Learning | 2 hrs | T. Hofmann | |||||||||||||||
263-5210-00L | Probabilistic Artificial Intelligence | W | 8 credits | 3V + 2U + 2A | ||||||||||||||
263-5210-00 V | Probabilistic Artificial Intelligence The lectures will mostly be given in a lecture hall with limited attendance (at most 50% of lecture hall capacity). It will be possible to join remotely via zoom with acccess to slides, whiteboard, and speaker camera. Students can interact, e.g. ask questions, physically as well as digitally. The lectures will be recorded via zoom’s recording functionality. | 3 hrs |
| A. Krause | ||||||||||||||
263-5210-00 U | Probabilistic Artificial Intelligence | 2 hrs |
| A. Krause | ||||||||||||||
263-5210-00 A | Probabilistic Artificial Intelligence | 2 hrs | A. Krause |
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