Autumn Semester 2020 takes place in a mixed form of online and classroom teaching.
Please read the published information on the individual courses carefully.

Search result: Course units in Spring Semester 2018

Data Science Master Information
Core Courses
Data Analysis
Information and Learning
NumberTitleTypeECTSHoursLecturers
227-0434-10LMathematics of InformationW8 credits3V + 2U + 2AH. Bölcskei
Statistics
NumberTitleTypeECTSHoursLecturers
401-3632-00LComputational StatisticsW10 credits3V + 2UM. H. Maathuis
Data Management
NumberTitleTypeECTSHoursLecturers
261-5110-00LOptimization for Data Science Information W8 credits3V + 2U + 2AB. Gärtner, D. Steurer
Core Electives
NumberTitleTypeECTSHoursLecturers
151-0566-00LRecursive Estimation Information W4 credits2V + 1UR. D'Andrea
227-0150-00LEnergy-Efficient Parallel Computing Systems for Data Analytics Information
Previously called "Advanced System-on-chip Design: Integrated Parallel Computing Architectures"
W6 credits4GL. Benini
227-0224-00LStochastic Systems Information W4 credits2V + 1UF. Herzog
227-0420-00LInformation Theory II Information
Does not take place this semester.
W6 credits2V + 2UA. Lapidoth
227-0558-00LPrinciples of Distributed Computing Information W6 credits2V + 2U + 1AR. Wattenhofer, M. Ghaffari
252-0211-00LInformation Security Information W8 credits4V + 3UD. Basin, S. Capkun
252-0526-00LStatistical Learning Theory Information W6 credits2V + 3PJ. M. Buhmann
252-0538-00LShape Modeling and Geometry Processing Information W5 credits2V + 1U + 1AS. Coros
252-0579-00L3D Vision Information W4 credits3GT. Sattler, M. R. Oswald
252-3005-00LNatural Language Understanding Information W4 credits2V + 1UT. Hofmann, M. Ciaramita
261-5130-00LResearch in Data ScienceW6 credits13AProfessors
263-0008-00LComputational Intelligence Lab
Only for master students, otherwise a special permission by the study administration of D-INFK is required.
W8 credits2V + 2U + 1AT. Hofmann
263-2925-00LProgram Analysis for System Security and Reliability Information W5 credits2V + 1U + 1AM. Vechev
263-3710-00LMachine Perception Information Restricted registration - show details
Students, who have already taken 263-3700-00 User Interface Engineering are not allowed to register for this course!
W5 credits2V + 1U + 1AO. Hilliges
401-0674-00LNumerical Methods for Partial Differential Equations
Not meant for BSc/MSc students of mathematics.
W8 credits4V + 2U + 1AR. Hiptmair
401-3052-05LGraph Theory Information W5 credits2V + 1UB. Sudakov
401-3052-10LGraph Theory Information W10 credits4V + 1UB. Sudakov
401-3602-00LApplied Stochastic Processes
Does not take place this semester.
W8 credits3V + 1Unot available
401-3622-00LRegressionW8 credits4GP. L. Bühlmann
401-4632-15LCausalityW4 credits2GN. Meinshausen
401-4904-00LCombinatorial Optimization Information W6 credits2V + 1UR. Zenklusen
401-6102-00LMultivariate Statistics
Does not take place this semester.
W4 credits2Gnot available
701-0104-00LStatistical Modelling of Spatial Data Information W3 credits2GA. J. Papritz
Interdisciplinary Electives
NumberTitleTypeECTSHoursLecturers
101-0478-00LMeasurement and Modelling of Travel BehaviourW6 credits4GK. W. Axhausen
103-0228-00LMultimedia Cartography
Prerequisite: Successful completion of Cartography III (103-0227-00L).
W4 credits3GH.‑R. Bär, R. Sieber
103-0247-00LMobile GIS and Location-Based ServicesW5 credits4GP. Kiefer
103-0255-01LGeodata AnalysisW2 credits2GD. Jonietz
227-0945-10LCell and Molecular Biology for Engineers II
This course is part II of a two-semester course.
Knowledge of part I is required.
W3 credits2GC. Frei
261-5111-00LAsset Management: Advanced Investments (University of Zurich)
Der Kurs muss direkt an der UZH belegt werden.
UZH Modulkürzel: MFOEC207

Beachten Sie die Einschreibungstermine an der UZH: http://www.uzh.ch/studies/application/mobilitaet.html
W3 credits2VUniversity lecturers
261-5120-00LComputational Biomedicine IIW4 credits3PG. Rätsch
263-3501-00LAdvanced Computer Networks Information W5 credits2V + 2UA. Singla, P. M. Stüdi
363-1000-00LFinancial EconomicsW3 credits2VA. Bommier
363-1091-00LSocial Data ScienceW3 credits2GD. Garcia Becerra
401-3629-00LQuantitative Risk ManagementW4 credits2VP. Cheridito
401-3888-00LIntroduction to Mathematical Finance Information
A related course is 401-3913-01L Mathematical Foundations for Finance (3V+2U, 4 ECTS credits). Although both courses can be taken independently of each other, only one will be recognised for credits in the Bachelor and Master degree. In other words, it is not allowed to earn credit points with one for the Bachelor and with the other for the Master degree.
W10 credits4V + 1UM. Schweizer
401-3936-00LData Analytics for Non-Life Insurance PricingW4 credits2VC. M. Buser, M. V. Wüthrich
401-4658-00LComputational Methods for Quantitative Finance: PDE Methods Information Restricted registration - show details W6 credits3V + 1UC. Schwab
401-8915-00LAdvanced Financial Economics (University of Zurich)
No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH.
UZH Module Code: MFOEC206

Mind the enrolment deadlines at UZH:
https://www.uzh.ch/cmsssl/en/studies/application/mobilitaet.html
W6 credits4GUniversity lecturers
636-0702-00LStatistical Models in Computational BiologyW6 credits2V + 1U + 2AN. Beerenwinkel
701-0412-00LClimate SystemsW3 credits2GR. Knutti, I. Medhaug
701-1216-00LNumerical Modelling of Weather and Climate Information W4 credits3GC. Schär, U. Lohmann
701-1226-00LInter-Annual Phenomena and Their Prediction Information W2 credits2GC. Appenzeller
701-1252-00LClimate Change Uncertainty and Risk: From Probabilistic Forecasts to Economics of Climate AdaptationW3 credits2V + 1UD. N. Bresch, R. Knutti
851-0252-06LIntroduction to Social Networks: Theory, Methods and Applications Restricted registration - show details
Number of participants limited to 40.

This course is intended for students interested in data analysis and with basic knowledge of inferential statistics.
W3 credits2GC. Stadtfeld, A. Vörös
Data Science Lab
This course unit will be given in HS18 for the first time according to programme regulations 2016 Data Science MSc.
Seminar
NumberTitleTypeECTSHoursLecturers
263-3830-00LSoftware Defined Networking: The Data Centre Perspective Information W2 credits2ST. Roscoe, D. Wagenknecht-Dimitrova
263-3840-00LHardware Architectures for Machine Learning Information W2 credits2SG. Alonso, T. Hoefler, O. Mutlu, C. Zhang
401-3620-18LStudent Seminar in Statistics: Nonparametric Estimation under Shape-Constraints Restricted registration - show details
Number of participants limited to 22.

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.
W4 credits2SF. Balabdaoui, P. L. Bühlmann, M. H. Maathuis, N. Meinshausen, S. van de Geer
GESS Science in Perspective
NumberTitleTypeECTSHoursLecturers
» Recommended Science in Perspective (Type B) for D-INFK
» see Science in Perspective: Type A: Enhancement of Reflection Capability
» see Science in Perspective: Language Courses ETH/UZH
851-0740-00LBig Data, Law, and Policy Restricted registration - show details
Number of participants limited to 35

Students will be informed by 4.3.2018 at the latest
W3 credits2SS. Bechtold, T. Roscoe, E. Vayena
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