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Course units in Autumn Semester 2017
Data Science Master Core Courses Data Analysis Information and Learning Number Title Type ECTS Hours Lecturers 252-0535-00L Machine Learning W 8 credits 3V + 2U + 2A J. M. Buhmann Statistics Number Title Type ECTS Hours Lecturers 401-3621-00L Fundamentals of Mathematical Statistics W 10 credits 4V + 1U S. van de Geer Data Management Number Title Type ECTS Hours Lecturers 263-3010-00L Big Data W 8 credits 3V + 2U + 2A G. Fourny Core Electives Number Title Type ECTS Hours Lecturers 252-0417-00L Randomized Algorithms and Probabilistic Methods W 8 credits 3V + 2U + 2A A. Steger ,
E. Welzl 252-1407-00L Algorithmic Game Theory W 7 credits 3V + 2U + 1A P. Penna 252-1414-00L System Security W 5 credits 2V + 2U S. Capkun ,
A. Perrig 263-0006-00L Algorithms Lab 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 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 W 4 credits 2V + 1U M. Vechev 263-2800-00L Design of Parallel and High-Performance Computing W 7 credits 3V + 2U + 1A T. Hoefler ,
M. Püschel 263-3210-00L Deep Learning Number of participants limited to 300.
W 4 credits 2V + 1U T. Hofmann 263-5210-00L Probabilistic Artificial Intelligence W 4 credits 2V + 1U A. Krause 263-5902-00L Computer Vision W 6 credits 3V + 1U + 1A L. Van Gool ,
V. Ferrari ,
A. Geiger 401-0625-01L Applied Analysis of Variance and Experimental Design 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 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 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 W 6 credits 4G H.‑A. Loeliger