Suchergebnis:
Lerneinheiten im Frühjahrssemester 2019
Data Science Master Kernfächer Wählbare Kernfächer Nummer Titel Typ ECTS Umfang Dozierende 151-0566-00L Recursive Estimation W 4 KP 2V + 1U R. D'Andrea 227-0150-00L Systems-on-chip for Data Analytics and Machine Learning Previously "Energy-Efficient Parallel Computing Systems for Data Analytics"
W 6 KP 4G L. Benini 227-0420-00L Information Theory II W 6 KP 2V + 2U A. Lapidoth ,
S. M. Moser 227-0558-00L Principles of Distributed Computing W 6 KP 2V + 2U + 1A R. Wattenhofer ,
M. Ghaffari 252-0211-00L Information Security W 8 KP 4V + 3U D. Basin ,
S. Capkun ,
E. Mohammadi 252-0526-00L Statistical Learning Theory W 7 KP 3V + 2U + 1A J. M. Buhmann 252-0538-00L Shape Modeling and Geometry Processing W 5 KP 2V + 1U + 1A O. Sorkine Hornung 252-0579-00L 3D Vision W 4 KP 3G M. Pollefeys ,
V. Larsson 252-3005-00L Natural Language Understanding Number of participants limited to 200.
W 4 KP 2V + 1U M. Ciaramita ,
T. Hofmann 261-5130-00L Research in Data Science Only for Data Science MSc.
W 6 KP 13A Professor/innen 263-0008-00L Computational Intelligence Lab Only for master students, otherwise a special permission by the study administration of D-INFK is required.
W 8 KP 2V + 2U + 3A T. Hofmann 263-2300-00L How To Write Fast Numerical Code Number of participants limited to 84. Prerequisite: Master student, solid C programming skills. Takes place the last time in this form.
W 6 KP 3V + 2U M. Püschel 263-2925-00L Program Analysis for System Security and Reliability W 5 KP 2V + 1U + 1A M. Vechev 263-3710-00L Machine Perception Number of participants limited to 150.
W 5 KP 2V + 1U + 1A O. Hilliges 263-3826-00L Data Stream Processing and Analytics W 6 KP 2V + 2U + 1A V. Kalavri 263-4506-00L Massively Parallel Algorithms W 6 KP 2V + 1U + 2A M. Ghaffari 263-5215-00L Fairness, Explainability, and Accountability for Machine Learning Number of participants limited to 40. The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the course, will officially fail the course.
W 4 KP 1V + 2P H. Heidari 401-0674-00L Numerical Methods for Partial Differential Equations Nicht für Studierende BSc/MSc Mathematik
W 8 KP 2G + 2P + 4A R. Hiptmair 401-3052-05L Graph Theory W 5 KP 2V + 1U B. Sudakov 401-3052-10L Graph Theory W 10 KP 4V + 1U B. Sudakov