Search result: Courses in Autumn Semester 2020

Statistics Master Information
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
NumberTitleTypeECTSHoursLecturers
401-3601-00LProbability Theory Information
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 (www.math.ethz.ch/studiensekretariat) after having received the credits.
W10 credits4V + 1U
401-3601-00 VProbability Theory
The lecturers will communicate the exact lesson times of ONLINE courses.
URL for live streaming: https://video.ethz.ch/live/lectures/zentrum/hg/hg-g-19-2.html
4 hrs
Tue10:00-12:00ON LI NE »
Thu10:00-12:00ON LI NE »
A.‑S. Sznitman
401-3601-00 UProbability 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
Tue13:15-14:00ETZ E 6 »
13:15-14:00ML H 41.1 »
14:15-15:00ML H 41.1 »
A.‑S. Sznitman
401-3627-00LHigh-Dimensional StatisticsW4 credits2V
401-3627-00 VHigh-Dimensional Statistics
Does not take place this semester.
The lecturers will communicate the exact lesson times of ONLINE courses.
2 hrsP. L. Bühlmann
401-3612-00LStochastic SimulationW5 credits3G
401-3612-00 GStochastic Simulation
The lecturers will communicate the exact lesson times of ONLINE courses.
3 hrs
Tue14:00-17:00ON LI NE »
F. Sigrist
401-4619-67LAdvanced Topics in Computational StatisticsW4 credits2V
401-4619-00 VAdvanced Topics in Computational Statistics
Does not take place this semester.
2 hrsnot available
401-4633-00LData Analytics in Organisations and BusinessW5 credits2V + 1U
401-4633-00 VData Analytics in Organisations and Business2 hrs
Fri14:00-16:00ON LI NE »
I. Flückiger
401-4633-00 UData Analytics in Organisations and Business1 hrs
Fri/2w16:00-18:00ON LI NE »
I. Flückiger
401-6217-00LUsing R for Data Analysis and Graphics (Part II) Restricted registration - show details W1.5 credits1G
401-6217-00 GUsing R for Data Analysis and Graphics (Part II)
The lecturers will communicate the exact lesson times of ONLINE courses.
14s hrs
Tue/214:00-16:00ON LI NE »
M. Mächler
401-0627-00LSmoothing and Nonparametric Regression with Examples Information W4 credits2G
401-0627-00 GSmoothing and Nonparametric Regression with Examples
The lecturers will communicate the exact lesson times of ONLINE courses.
2 hrs
Fri10:00-12:00ON LI NE »
S. Beran-Ghosh
447-6289-00LSampling Surveys Restricted registration - show details
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 registrar@ethz.ch. The Registrar's Office will then register you for the course.
W2 credits1G
447-6289-00 GStichproben-Erhebungen Special students and auditors need a special permission from the lecturers.
Blockkurs. Weitere Informationen unter http://stat.ethz.ch/wbl/wbl
16.11.20
23.11.20
30.11.20
07.12.20
14.12.20
Leistungskontrolle am 04.01.2021
17.5s hrs
Mon/208:15-10:00HG D 7.1 »
10:15-12:00HG E 5 »
B. Hulliger
401-3628-14LBayesian StatisticsW4 credits2V
401-3628-14 VBayesian Statistics
Does not take place this semester.
2 hrs
447-6273-00LBayes Methods Restricted registration - show details
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 registrar@ethz.ch. The Registrar's Office will then register you for the course.
W2 credits2G
447-6273-00 GBayes-Methoden Special students and auditors need a special permission from the lecturers.
Blockkurs. Weitere Informationen unter http://stat.ethz.ch/wbl/wbl
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
Mon/214:15-16:00HG E 1.2 »
16:15-18:00HG E 5 »
Y.‑L. Grize
401-3901-00LMathematical OptimizationW11 credits4V + 2U
401-3901-00 VMathematical Optimization
The lecturers will communicate the exact lesson times of ONLINE courses.
4 hrs
Mon14:00-16:00ON LI NE »
Thu10:00-12:00ON LI NE »
R. Zenklusen
401-3901-00 UMathematical 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
Thu14:00-16:00ON LI NE »
Fri10:15-12:00CAB G 51 »
12:15-14:00HG E 1.2 »
14:15-16:00HG G 26.1 »
R. Zenklusen
252-0535-00LAdvanced Machine Learning Information W10 credits3V + 2U + 4A
252-0535-00 VAdvanced 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
Thu15:15-16:00ETA F 5 »
Fri08:15-10:00ETA F 5 »
J. M. Buhmann, C. Cotrini Jimenez
252-0535-00 UAdvanced Machine Learning2 hrs
Wed14:15-16:00CAB G 61 »
16:15-18:00CAB G 61 »
Thu16:15-18:00ML F 34 »
Fri14:15-16:00CAB G 61 »
J. M. Buhmann, C. Cotrini Jimenez
252-0535-00 AAdvanced Machine Learning
Project Work, no fixed presence required.
4 hrsJ. M. Buhmann, C. Cotrini Jimenez
252-3005-00LNatural Language Processing Information Restricted registration - show details
Number of participants limited to 200.
W5 credits2V + 1U + 1A
252-3005-00 VNatural Language Processing
The lecturers will communicate the exact lesson times of ONLINE courses.
2 hrs
Mon12:00-14:00ON LI NE »
R. Cotterell
252-3005-00 UNatural Language Processing
The lecturers will communicate the exact lesson times of ONLINE courses.
1 hrs
Wed13:00-14:00ON LI NE »
R. Cotterell
252-3005-00 ANatural Language Processing1 hrsR. Cotterell
227-0423-00LNeural Network Theory Information W4 credits2V + 1U
227-0423-00 VNeural 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
Mon10:15-12:00ETF C 1 »
H. Bölcskei
227-0423-00 UNeural 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
Mon12:15-13:00ETF C 1 »
H. Bölcskei
401-4521-70LGeometric Tomography - Uniqueness, Statistical Reconstruction and Algorithms Information Restricted registration - show details W4 credits2V
401-4521-70 VGeometric Tomography - Uniqueness, Statistical Reconstruction and Algorithms
The lecturers will communicate the exact lesson times of ONLINE courses.
2 hrs
Thu08:00-10:00ON LI NE »
J. Hörrmann
401-6282-00LStatistical 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:
https://www.uzh.ch/cmsssl/en/studies/application/mobilitaet.html
W5 credits3G
401-6282-00 GStatistical Analysis of High-Throughput Genomic and Transcriptomic Data (University of Zurich)
**Course at University of Zurich**
3 hrs
Mon09:00-12:00UNI ZH .
H. Rehrauer, M. Robinson
401-8625-00LClinical 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:
https://www.uzh.ch/cmsssl/en/studies/application/mobilitaet.html
W6 credits4G
401-8625-00 GClinical Biostatistics (University of Zurich)
**Course at University of Zurich**
4 hrs
Thu09:00-09:45UNI ZH .
10:15-12:00UNI ZH .
15:00-15:45UNI ZH .
University lecturers
263-3210-00LDeep Learning Information Restricted registration - show details W8 credits3V + 2U + 2A
263-3210-00 VDeep Learning
The lecturers will communicate the exact lesson times from «online» courses.
3 hrs
Wed13:00-14:00ON LI NE »
Thu14:00-16:00ON LI NE »
T. Hofmann
263-3210-00 UDeep Learning2 hrs
Mon16:15-18:00NO C 60 »
Wed16:15-18:00ML F 36 »
T. Hofmann
263-3210-00 ADeep Learning2 hrsT. Hofmann
263-5210-00LProbabilistic Artificial Intelligence Information Restricted registration - show details W8 credits3V + 2U + 2A
263-5210-00 VProbabilistic 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
Fri10:15-12:00ETA F 5 »
13:15-14:00ETA F 5 »
A. Krause
263-5210-00 UProbabilistic Artificial Intelligence2 hrs
Thu16:00-18:00ON LI NE »
A. Krause
263-5210-00 AProbabilistic Artificial Intelligence2 hrsA. Krause
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