Search result:
Course units in Autumn Semester 2020
Data Science Master Core Courses Core Electives Number Title Type ECTS Hours Lecturers 151-0563-01L Dynamic Programming and Optimal Control W 4 credits 2V + 1U R. D'Andrea 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 Analysis, Models, and Machine Learning Does not take place this semester. This course has been replaced by "Introduction to Estimation and Machine Learning" (autumn semester) and "Advanced Signal Analysis, Modeling, and Machine Learning" (spring semester).
W 6 credits 4G H.‑A. Loeliger 227-0445-10L Mathematical Methods of Signal Processing W 6 credits 4G H. G. Feichtinger 227-0689-00L System Identification W 4 credits 2V + 1U R. Smith 252-0417-00L Randomized Algorithms and Probabilistic Methods Does not take place this semester.
W 10 credits 3V + 2U + 4A A. Steger 252-1407-00L Algorithmic Game Theory W 7 credits 3V + 2U + 1A P. Penna 252-1414-00L System Security W 7 credits 2V + 2U + 2A S. Capkun ,
A. Perrig 252-3005-00L Natural Language Processing Number of participants limited to 200.
W 5 credits 2V + 1U + 1A R. Cotterell 261-5130-00L Research in Data Science Only for Data Science MSc.
W 6 credits 13A Professors 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 + 3A E. Welzl 263-0009-00L Information Security Lab Only for master students, otherwise a special permission by the study administration of D-INFK is required. Number of participants limited to 150.
W 8 credits 2V + 1U + 3P + 1A K. Paterson ,
D. Basin ,
S. Capkun ,
D. Hofheinz ,
A. Perrig 263-2400-00L Reliable and Interpretable Artificial Intelligence W 6 credits 2V + 2U + 1A M. Vechev 263-2800-00L Design of Parallel and High-Performance Computing W 9 credits 3V + 2U + 3A T. Hoefler ,
M. Püschel 263-3210-00L Deep Learning W 8 credits 3V + 2U + 2A T. Hofmann 263-5210-00L Probabilistic Artificial Intelligence W 8 credits 3V + 2U + 2A A. Krause 263-5902-00L Computer Vision W 8 credits 3V + 1U + 3A M. Pollefeys ,
S. Tang ,
V. Ferrari 401-0625-01L Applied Analysis of Variance and Experimental Design W 5 credits 2V + 1U L. Meier 401-3054-14L Probabilistic Methods in Combinatorics W 6 credits 2V + 1U B. Sudakov