Search result: Course units in Autumn Semester 2019

Data Science Master Information
Core Courses
Data Analysis
Information and Learning
NumberTitleTypeECTSHoursLecturers
252-0535-00LAdvanced Machine Learning Information W8 credits3V + 2U + 2AJ. M. Buhmann
227-0423-00LNeural Network TheoryW4 credits2V + 1UH. Bölcskei, E. Riegler
Statistics
NumberTitleTypeECTSHoursLecturers
401-3621-00LFundamentals of Mathematical Statistics Information W10 credits4V + 1US. van de Geer
Data Management
NumberTitleTypeECTSHoursLecturers
263-3010-00LBig Data Information Restricted registration - show details W8 credits3V + 2U + 2AG. Fourny
263-4500-10LAdvanced Algorithms (with Project) Information Restricted registration - show details
Only for Data Science MSc.
W8 credits2V + 2U + 2P + 1AM. Ghaffari, A. Krause
Core Electives
NumberTitleTypeECTSHoursLecturers
151-0563-01LDynamic Programming and Optimal Control Information W4 credits2V + 1UR. D'Andrea
227-0101-00LDiscrete-Time and Statistical Signal ProcessingW6 credits4GH.‑A. Loeliger
227-0417-00LInformation Theory IW6 credits4GA. Lapidoth
227-0427-00LSignal Analysis, Models, and Machine LearningW6 credits4GH.‑A. Loeliger
227-0689-00LSystem IdentificationW4 credits2V + 1UR. Smith
252-0417-00LRandomized Algorithms and Probabilistic MethodsW8 credits3V + 2U + 2AA. Steger
252-1407-00LAlgorithmic Game Theory Information W7 credits3V + 2U + 1AP. Penna
252-1414-00LSystem Security Information W7 credits2V + 2U + 2AS. Capkun, A. Perrig
261-5130-00LResearch in Data Science Restricted registration - show details
Only for Data Science MSc.
W6 credits13AProfessors
263-0006-00LAlgorithms Lab Restricted registration - show details
Only for master students, otherwise a special permission by the student administration of D-INFK is required.
W8 credits4P + 3AA. Steger
263-0007-00LAdvanced Systems Lab Information Restricted registration - show details
Limited number of participants.
Takes place the last time in this form.
Students who repeat the lab have priority. All others have to take the course in the spring semester 20!
W8 credits4P + 3AG. Alonso
263-2400-00LReliable and Interpretable Artificial Intelligence Information W5 credits2V + 1U + 1AM. Vechev
263-2800-00LDesign of Parallel and High-Performance Computing Information Restricted registration - show details W8 credits3V + 2U + 2AM. Püschel, T. Ben Nun
263-3210-00LDeep Learning Information W5 credits2V + 1U + 1AT. Hofmann
263-5210-00LProbabilistic Artificial Intelligence Information Restricted registration - show details W5 credits2V + 1U + 1AA. Krause
263-5902-00LComputer Vision Information W7 credits3V + 1U + 2AM. Pollefeys, V. Ferrari, L. Van Gool
401-0625-01LApplied Analysis of Variance and Experimental Design Information W5 credits2V + 1UL. Meier
401-3055-64LAlgebraic Methods in Combinatorics Information W6 credits2V + 1UB. Sudakov
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.
W10 credits4V + 1UA.‑S. Sznitman
401-3622-00LStatistical Modelling Information W8 credits4GC. Heinze-Deml
401-3627-00LHigh-Dimensional StatisticsW4 credits2VP. L. Bühlmann
401-3901-00LMathematical Optimization Information W11 credits4V + 2UR. Zenklusen
401-3612-00LStochastic Simulation
Does not take place this semester.
W5 credits3G
401-4619-67LAdvanced Topics in Computational Statistics
Does not take place this semester.
W4 credits2Vnot available
401-4623-00LTime Series Analysis
Does not take place this semester.
W6 credits3GN. Meinshausen
Interdisciplinary Electives
NumberTitleTypeECTSHoursLecturers
227-1033-00LNeuromorphic Engineering I Information Restricted registration - show details
Registration in this class requires the permission of the instructors. Class size will be limited to available lab spots.
Preference is given to students that require this class as part of their major.
W6 credits2V + 3UT. Delbrück, G. Indiveri, S.‑C. Liu
227-0421-00LLearning in Deep Artificial and Biological Neuronal NetworksW4 credits3GB. Grewe
227-0945-00LCell and Molecular Biology for Engineers I
This course is part I of a two-semester course.
W3 credits2GC. Frei
261-5100-00LComputational Biomedicine Information Restricted registration - show details
Number of participants limited to 60.
W5 credits2V + 1U + 1AG. Rätsch, V. Boeva, N. Davidson
261-5112-00LAdvanced Approaches for Population Scale Compressive Genomics Restricted registration - show details
Number of participants limited to 30.
W3 credits2GA. Kahles
636-0017-00LComputational Biology Information W6 credits3G + 2AT. Vaughan, T. Stadler
701-0023-00LAtmosphere Information W3 credits2VE. Fischer, T. Peter
701-0473-00LWeather Systems Information W3 credits2GM. A. Sprenger, F. S. Scholder-Aemisegger
701-1251-00LLand-Climate Dynamics Information Restricted registration - show details
Number of participants limited to 36.
W3 credits2GS. I. Seneviratne, E. L. Davin
101-0417-00LTransport Planning MethodsW6 credits4GK. W. Axhausen
101-0491-00LAgent Based Modeling in TransportationW6 credits4GT. J. P. Dubernet, M. Balac
103-0227-00LCartography III Information W5 credits4GL. Hurni
103-0237-00LGIS IIIW5 credits3GM. Raubal
103-0778-00LGIS and Geoinformatics LabW4 credits3PM. Raubal
263-3900-01LCommunication Networks Seminar Information Restricted registration - show details
Number of participants limited to 20.

The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.
W2 credits2SA. Singla
227-0575-00LAdvanced Topics in Communication Networks (Autumn 2019) Information W6 credits2V + 2UL. Vanbever
401-3922-00LLife Insurance MathematicsW4 credits2VM. Koller
401-3925-00LNon-Life Insurance: Mathematics and Statistics Information W8 credits4V + 1UM. V. Wüthrich
401-3928-00LReinsurance AnalyticsW4 credits2VP. Antal, P. Arbenz
401-4889-00LMathematical Finance Information W11 credits4V + 2UJ. Teichmann
401-8905-00LFinancial Engineering (University of Zurich)
No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH.
UZH Module Code: MFOEC200

Mind the enrolment deadlines at UZH:
https://www.uzh.ch/cmsssl/en/studies/application/mobilitaet.html
W6 credits4GUniversity lecturers
851-0252-13LNetwork Modeling
Particularly suitable for students of D-INFK

Students are required to have basic knowledge in inferential statistics, such as regression models.
W3 credits2VC. Stadtfeld, V. Amati
851-0735-09LWorkshop & Lecture Series on the Law & Economics of Innovation Information W2 credits2SS. Bechtold, H. Gersbach, A. Heinemann
851-0252-15LNetwork Analysis
Particularly suitable for students of D-INFK, D-MATH
W3 credits2VU. Brandes
Data Science Lab
NumberTitleTypeECTSHoursLecturers
263-3300-00LData Science Lab Information Restricted registration - show details
Only for Data Science MSc.
O14 credits9PA. Krause, C. Zhang
Seminar
NumberTitleTypeECTSHoursLecturers
252-5051-00LAdvanced Topics in Machine Learning Information Restricted registration - show details
Number of participants limited to 40.

The deadline for deregistering expires at the end of the fourth week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.
W2 credits2SJ. M. Buhmann, A. Krause, G. Rätsch
263-3504-00LHardware Acceleration for Data Processing Information
The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.
W2 credits2SG. Alonso, C. Zhang
363-1100-00LRisk Case Study Challenge Restricted registration - show details
Limited number of participants.

Please apply for this course via the official website (www.riskcenter.ethz.ch). Once your application is confirmed, registration in myStudies is possible.
W3 credits2SB. J. Bergmann, A. Bommier, S. Feuerriegel, J. Teichmann
401-3620-69LStudent Seminar in Statistics: The Art of Statistics Restricted registration - show details
Number of participants limited to 24

Mainly for students from the Mathematics Bachelor and Master Programmes who, in addition to the introductory course unit 401-2604-00L Probability and Statistics, have heard at least one core or elective course in statistics. Also offered in the Master Programmes Statistics resp. Data Science.
W4 credits2SM. H. Maathuis
401-5680-00LFoundations of Data Science Seminar Information E-0 creditsP. L. Bühlmann, A. Bandeira, H. Bölcskei, J. M. Buhmann, T. Hofmann, A. Krause, A. Lapidoth, H.‑A. Loeliger, M. H. Maathuis, G. Rätsch, C. Uhler, S. van de Geer
GESS Science in Perspective
» see Science in Perspective: Language Courses ETH/UZH
» see Science in Perspective: Type A: Enhancement of Reflection Capability
» Recommended Science in Perspective (Type B) for D-INFK
Master's Thesis
NumberTitleTypeECTSHoursLecturers
261-0800-00LMaster's Thesis
The minimal prerequisites for the Master’s thesis registration are:

 Completed Bachelor’s program
 All additional requirements completed (additional requirements, if any, are listed in the admission decree)
 Minimum degree requirements fulfilled of the course categories Data Analysis and Data Management and overall 50 credits obtained in the course category Core Courses
 Data Science Lab (14 credits) completed
O30 credits64DProfessors