Search result: Course units in Autumn Semester 2017

Data Science Master Information
Core Courses
Data Analysis
Information and Learning
Number Title Type ECTS Hours Lecturers
252-0535-00L Machine Learning Information W 8 credits 3V + 2U + 2A J. M. Buhmann
Statistics
Number Title Type ECTS Hours Lecturers
401-3621-00L Fundamentals of Mathematical Statistics Information W 10 credits 4V + 1U S. van de Geer
Data Management
Number Title Type ECTS Hours Lecturers
263-3010-00L Big Data Information W 8 credits 3V + 2U + 2A G. Fourny
Core Electives
Number Title Type ECTS Hours Lecturers
252-0417-00L Randomized Algorithms and Probabilistic Methods Information W 8 credits 3V + 2U + 2A A. Steger, E. Welzl
252-1407-00L Algorithmic Game Theory Information W 7 credits 3V + 2U + 1A P. Penna
252-1414-00L System Security Information W 5 credits 2V + 2U S. Capkun, A. Perrig
263-0006-00L Algorithms Lab Information
Only for master students, otherwise a special permission by the student administration of D-INFK is required.
W 8 credits 4P + 1A A. Steger, E. Welzl, P. Widmayer
263-0007-00L Advanced Systems Lab Information
Only for master students, otherwise a special permission by the student administration of D-INFK is required.
W 8 credits 4P + 1A G. Alonso
263-2400-00L Reliable and Interpretable Artificial Intelligence Information W 4 credits 2V + 1U M. Vechev
263-2800-00L Design of Parallel and High-Performance Computing Information W 7 credits 3V + 2U + 1A T. Hoefler, M. Püschel
263-3210-00L Deep Learning Information
Number of participants limited to 300.
W 4 credits 2V + 1U T. Hofmann
263-5210-00L Probabilistic Artificial Intelligence Information W 4 credits 2V + 1U A. Krause
263-5902-00L Computer Vision Information W 6 credits 3V + 1U + 1A L. Van Gool, V. Ferrari, A. Geiger
401-0625-01L Applied Analysis of Variance and Experimental Design Information W 5 credits 2V + 1U L. Meier
401-3601-00L Probability 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.
W 10 credits 4V + 1U A.‑S. Sznitman
401-3901-00L Mathematical Optimization Information W 11 credits 4V + 2U R. Weismantel
401-4619-67L Advanced Topics in Computational Statistics W 4 credits 2V N. Meinshausen
227-0101-00L Discrete-Time and Statistical Signal Processing Information W 6 credits 4G H.‑A. Loeliger
227-0417-00L Information Theory I W 6 credits 4G A. Lapidoth
227-0427-00L Signal and Information Processing: Modeling, Filtering, Learning Information W 6 credits 4G H.‑A. Loeliger
  • Page  1  of  3 All