Search result: Courses in Autumn Semester 2022

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.
Core Courses
Statistical Modelling
NumberTitleTypeECTSHoursLecturers
401-3622-00LStatistical Modelling Information W8 credits4G
401-3622-00 GStatistical Modelling4 hrs
Mon10:15-12:00ML D 28 »
Thu14:15-16:00HG E 1.1 »
P. L. Bühlmann
401-4623-00LTime Series AnalysisW4 credits2G
401-4623-00 GTime Series Analysis2 hrs
Thu12:15-14:00HG F 3 »
N. Meinshausen
Applied Statistics
NumberTitleTypeECTSHoursLecturers
401-0625-01LApplied Analysis of Variance and Experimental Design Information W5 credits2V + 1U
401-0625-01 VApplied Analysis of Variance and Experimental Design2 hrs
Mon14:15-16:00HG G 5 »
L. Meier
401-0625-01 UApplied Analysis of Variance and Experimental Design1 hrs
Mon/2w16:15-18:00HG E 1.1 »
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».
NumberTitleTypeECTSHoursLecturers
401-3621-00LFundamentals of Mathematical Statistics Information W10 credits4V + 1U
401-3621-00 VFundamentals of Mathematical Statistics4 hrs
Tue08:15-10:00HG E 5 »
Wed10:15-12:00HG E 7 »
S. van de Geer
401-3621-00 UFundamentals of Mathematical Statistics1 hrs
Tue12:15-13:00HG D 1.1 »
12:15-13:00HG E 7 »
S. van de Geer
401-8623-00LLikelihood 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
W5 credits3G
401-8623-00 GLikelihood Inference (University of Zurich)
**Course at University of Zurich**
3 hrs
Tue/108:00-09:45UNI ZH .
10:15-12:00UNI ZH .
Wed/108:00-09:45UNI ZH .
University lecturers
Subject Specific Electives
NumberTitleTypeECTSHoursLecturers
401-3601-00LProbability Theory Information Restricted registration - show details
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.
W10 credits4V + 1U
401-3601-00 VProbability Theory4 hrs
Tue10:15-12:00ML H 44 »
Wed08:15-10:00ML H 44 »
W. Werner, D. Schröder
401-3601-00 UProbability Theory
Groups are selected in myStudies.
Tue 14-15 or Tue 15-16 starting in the second week of the semester.
1 hrs
Tue14:15-15:00HG F 26.5 »
14:15-15:00ML H 41.1 »
15:15-16:00HG F 26.5 »
15:15-16:00ML H 41.1 »
W. Werner, D. Schröder
401-3627-00LHigh-Dimensional StatisticsW4 credits2V
401-3627-00 VHigh-Dimensional Statistics
Does not take place this semester.
2 hrsP. L. Bühlmann
401-3612-00LStochastic SimulationW5 credits2V + 1U
401-3612-00 VStochastic Simulation
On 20 September 2022 the course takes place in HG F 3.
2 hrs
Tue14:15-16:00ETF C 1 »
20.09.14:15-16:00HG F 3 »
F. Sigrist
401-3612-00 UStochastic Simulation1 hrs
Tue/2w16:15-18:00HG G 3 »
04.10.16:15-18:00HG G 3 »
01.11.16:15-18:00HG G 3 »
15.11.16:15-18:00HG G 3 »
29.11.16:15-18:00HG G 3 »
06.12.16:15-18:00HG G 3 »
13.12.16:15-18:00HG G 3 »
F. Sigrist
401-4633-00LData Analytics in Organisations and BusinessW5 credits2V + 1U
401-4633-00 VData Analytics in Organisations and Business2 hrs
Fri14:15-16:00HG G 5 »
I. Flückiger
401-4633-00 UData Analytics in Organisations and Business1 hrs
Fri/2w16:15-18:00HG G 5 »
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)14s hrs
Tue/214:15-16:00CAB G 11 »
M. Mächler
401-0627-00LSmoothing and Nonparametric Regression with Examples Information W4 credits2G
401-0627-00 GSmoothing and Nonparametric Regression with Examples2 hrs
Fri14:15-16:00HG G 26.5 »
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 Link. 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 am 21.11.; 28.11.; 05.12.; 12.12.; 19.12.2022
Weitere Informationen unter Link
17.5s hrs
Mon/208:15-10:00HG D 1.1 »
10:15-12:00HG E 19 »
09.01.10:15-12:00HG D 1.2 »
B. Hulliger
401-3628-14LBayesian StatisticsW4 credits2V
401-3628-14 VBayesian Statistics
Does not take place this semester.
2 hrs
401-3901-00LLinear & Combinatorial Optimization Information W11 credits4V + 2U
401-3901-00 VLinear & Combinatorial Optimization (Mathematical Optimization)4 hrs
Wed12:15-14:00HG G 5 »
Thu10:15-12:00HG G 5 »
R. Zenklusen
401-3901-00 ULinear & 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
Thu14:15-16:00HG F 26.5 »
Fri10:15-12:00CAB G 51 »
12:15-14:00LFW C 5 »
14:15-16:00HG F 26.5 »
R. Zenklusen
401-4944-20LMathematics of Data ScienceW8 credits4G
401-4944-20 GMathematics of Data Science4 hrs
Thu12:15-14:00HG G 3 »
Fri10:15-12:00NO C 60 »
A. Bandeira
252-0535-00LAdvanced Machine Learning Information W10 credits3V + 2U + 4A
252-0535-00 VAdvanced Machine Learning
Freitag 8-10 HG F1 mit Videoübertragung ins HG F3
3 hrs
Thu15:15-16:00ETA F 5 »
Fri08:15-10:00HG F 1 »
08:15-10:00HG F 3 »
J. M. Buhmann, C. Cotrini Jimenez
252-0535-00 UAdvanced 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
Wed14:15-16:00CAB G 61 »
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 400.
W7 credits3V + 3U + 1A
252-3005-00 VNatural Language Processing3 hrs
Mon12:15-14:00HG F 1 »
Tue13:15-14:00HG F 1 »
R. Cotterell
252-3005-00 UNatural Language Processing3 hrs
Wed16:15-19:00HG F 7 »
04.11.12:15-14:00HG G 26.3 »
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
Does not take place this semester.
Will be offered again in autumn 2023.
2 hrsH. Bölcskei
227-0423-00 UNeural Network Theory
Does not take place this semester.
Will be offered again in autumn 2023.
1 hrsH. Bölcskei
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 as an incoming student.
UZH Module Code: STA426

Mind the enrolment deadlines at UZH:
Link
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 as an incoming student.
UZH Module Code: STA404

Mind the enrolment deadlines at UZH:
Link
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
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