Search result: Course units in Autumn Semester 2017

Data Science Master Information
Core Courses
Data Analysis
Information and Learning
NumberTitleTypeECTSHoursLecturers
252-0535-00LMachine Learning Information W8 credits3V + 2U + 2AJ. M. Buhmann
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
Core Electives
NumberTitleTypeECTSHoursLecturers
252-0417-00LRandomized Algorithms and Probabilistic Methods Information W8 credits3V + 2U + 2AA. Steger, E. Welzl
252-1407-00LAlgorithmic Game Theory Information W7 credits3V + 2U + 1AP. Penna
252-1414-00LSystem Security Information W5 credits2V + 2US. Capkun, A. Perrig
263-0006-00LAlgorithms Lab Information
Only for master students, otherwise a special permission by the student administration of D-INFK is required.
W8 credits4P + 1AA. Steger, E. Welzl, P. Widmayer
263-0007-00LAdvanced Systems Lab Information
Only for master students, otherwise a special permission by the student administration of D-INFK is required.
W8 credits4P + 1AG. Alonso
263-2400-00LReliable and Interpretable Artificial Intelligence Information W4 credits2V + 1UM. Vechev
263-2800-00LDesign of Parallel and High-Performance Computing Information W7 credits3V + 2U + 1AT. Hoefler, M. Püschel
263-3210-00LDeep Learning Information Restricted registration - show details
Number of participants limited to 300.
W4 credits2V + 1UT. Hofmann
263-5210-00LProbabilistic Artificial Intelligence Information W4 credits2V + 1UA. Krause
263-5902-00LComputer Vision Information W6 credits3V + 1U + 1AL. Van Gool, V. Ferrari, A. Geiger
401-0625-01LApplied Analysis of Variance and Experimental Design Information W5 credits2V + 1UL. Meier
401-3601-00LProbability 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.
W10 credits4V + 1UA.‑S. Sznitman
401-3901-00LMathematical Optimization Information W11 credits4V + 2UR. Weismantel
401-4619-67LAdvanced Topics in Computational StatisticsW4 credits2VN. Meinshausen
227-0101-00LDiscrete-Time and Statistical Signal ProcessingW6 credits4GH.‑A. Loeliger
227-0417-00LInformation Theory IW6 credits4GA. Lapidoth
227-0427-00LSignal and Information Processing: Modeling, Filtering, LearningW6 credits4GH.‑A. Loeliger
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