Data Science Master |
Core Courses |
Data Analysis |
Information and Learning |
Number | Title | Type | ECTS | Hours | Lecturers |
---|
227-0434-10L | Mathematics of Information | W | 8 credits | 3V + 2U + 2A | |
227-0434-10 V | Mathematics of Information | | | 3 hrs | | H. Bölcskei |
227-0434-10 U | Mathematics of Information | | | 2 hrs | | H. Bölcskei |
227-0434-10 A | Mathematics of Information | | | 2 hrs | | H. Bölcskei |
|
Statistics |
Number | Title | Type | ECTS | Hours | Lecturers |
---|
401-3632-00L | Computational Statistics | W | 8 credits | 3V + 1U | |
401-3632-00 V | Computational Statistics | | | 3 hrs | | M. H. Maathuis |
401-3632-00 U | Computational Statistics
A "Präsenzstunde" directly following the exercises will be offered Friday 11-12 in HG G 5. | | | 1 hrs | | M. H. Maathuis |
|
Data Management |
Number | Title | Type | ECTS | Hours | Lecturers |
---|
261-5110-00L | Optimization for Data Science | W | 8 credits | 3V + 2U + 2A | |
261-5110-00 V | Optimization for Data Science | | | 3 hrs | | B. Gärtner,
D. Steurer |
261-5110-00 U | Optimization for Data Science | | | 2 hrs | | B. Gärtner,
D. Steurer |
261-5110-00 A | Optimization for Data Science | | | 2 hrs | | B. Gärtner,
D. Steurer |
|
Core Electives |
Number | Title | Type | ECTS | Hours | Lecturers |
---|
151-0566-00L | Recursive Estimation | W | 4 credits | 2V + 1U | |
151-0566-00 V | Recursive Estimation
The lecture starts in the second week of the Semester. | | | 2 hrs | | R. D'Andrea |
151-0566-00 U | Recursive Estimation
The exercise starts in the second week of the Semester. | | | 1 hrs | | 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 credits | 4G | |
227-0150-00 G | Systems-on-chip for Data Analytics and Machine Learning | | | 4 hrs | | L. Benini |
227-0155-00L | Machine Learning on Microcontrollers Registration in this class requires the permission of the instructors. Class size will be limited to 30. Preference is given to students in the MSc EEIT. | W | 6 credits | 3G + 2A | |
227-0155-00 G | Machine Learning on Microcontrollers
Permission from lecturers required for all students.
| | | 3 hrs | | M. Magno,
L. Benini |
227-0155-00 A | Machine Learning on Microcontrollers
Permission from lecturers required for all students.
| | | 2 hrs | | M. Magno,
L. Benini |
227-0224-00L | Stochastic Systems | W | 4 credits | 2V + 1U | |
227-0224-00 V | Stochastic Systems | | | 2 hrs | | F. Herzog |
227-0224-00 U | Stochastic Systems | | | 1 hrs | | F. Herzog |
227-0420-00L | Information Theory II | W | 6 credits | 2V + 2U | |
227-0420-00 V | Information Theory II
Does not take place this semester. | | | 2 hrs | | A. Lapidoth |
227-0420-00 U | Information Theory II
Does not take place this semester. | | | 2 hrs | | A. Lapidoth |
227-0558-00L | Principles of Distributed Computing | W | 7 credits | 2V + 2U + 2A | |
227-0558-00 V | Principles of Distributed Computing | | | 2 hrs | | R. Wattenhofer,
M. Ghaffari |
227-0558-00 U | Principles of Distributed Computing
In Gruppen | | | 2 hrs | | R. Wattenhofer,
M. Ghaffari |
227-0558-00 A | Principles of Distributed Computing
No presence required. Creative task outside the regular weekly exercises. | | | 2 hrs | | R. Wattenhofer,
M. Ghaffari |
227-0560-00L | Deep Learning for Autonomous Driving Registration in this class requires the permission of the instructors. Class size will be limited to 80 students. Preference is given to EEIT, INF and RSC students. | W | 6 credits | 3V + 2P | |
227-0560-00 V | Deep Learning for Autonomous Driving
Permission from lecturers required for all students.
| | | 3 hrs | | D. Dai,
A. Liniger |
227-0560-00 P | Deep Learning for Autonomous Driving
Permission from lecturers required for all students.
| | | 2 hrs | | D. Dai,
A. Liniger |
252-0211-00L | Information Security | W | 8 credits | 4V + 3U | |
252-0211-00 V | Information Security | | | 4 hrs | | D. Basin,
S. Capkun,
R. Sasse |
252-0211-00 U | Information Security | | | 3 hrs | | D. Basin,
S. Capkun,
R. Sasse |
252-0526-00L | Statistical Learning Theory | W | 7 credits | 3V + 2U + 1A | |
252-0526-00 V | Statistical Learning Theory | | | 3 hrs | | J. M. Buhmann,
C. Cotrini Jimenez |
252-0526-00 U | Statistical Learning Theory | | | 2 hrs | | J. M. Buhmann,
C. Cotrini Jimenez |
252-0526-00 A | Statistical Learning Theory | | | 1 hrs | | J. M. Buhmann,
C. Cotrini Jimenez |
252-0538-00L | Shape Modeling and Geometry Processing | W | 6 credits | 2V + 1U + 2A | |
252-0538-00 V | Shape Modeling and Geometry Processing | | | 2 hrs | | O. Sorkine Hornung |
252-0538-00 U | Shape Modeling and Geometry Processing | | | 1 hrs | | O. Sorkine Hornung |
252-0538-00 A | Shape Modeling and Geometry Processing | | | 2 hrs | | O. Sorkine Hornung |
252-0579-00L | 3D Vision | W | 5 credits | 3G + 1A | |
252-0579-00 G | 3D Vision | | | 3 hrs | | M. Pollefeys,
V. Larsson |
252-0579-00 A | 3D Vision | | | 1 hrs | | M. Pollefeys,
V. Larsson |
252-3005-00L | Natural Language Understanding Takes place in HS20. | W | 5 credits | 2V + 1U + 1A | |
252-3005-00 V | Natural Language Understanding
Does not take place this semester. | | | 2 hrs | | |
252-3005-00 U | Natural Language Understanding
Does not take place this semester. | | | 1 hrs | | |
252-3005-00 A | Natural Language Understanding
Does not take place this semester. | | | 1 hrs | | to be announced |
261-5130-00L | Research in Data Science Only for Data Science MSc. | W | 6 credits | 13A | |
261-5130-00 A | Research in Data Science | | | 180s hrs | | Professors |
263-0007-00L | Advanced Systems Lab Only for master students, otherwise a special permission by the study administration of D-INFK is required. | W | 8 credits | 3V + 2U + 2A | |
263-0007-00 V | Advanced Systems Lab
| | | 3 hrs | | M. Püschel,
C. Zhang |
263-0007-00 U | Advanced Systems Lab | | | 2 hrs | | M. Püschel,
C. Zhang |
263-0007-00 A | Advanced Systems Lab
Project Work, no fixed presence required. | | | 2 hrs | | M. Püschel,
C. Zhang |
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 credits | 2V + 2U + 3A | |
263-0008-00 V | Computational Intelligence Lab | | | 2 hrs | | T. Hofmann |
263-0008-00 U | Computational Intelligence Lab | | | 2 hrs | | T. Hofmann |
263-0008-00 A | Computational Intelligence Lab
No presence required. | | | 3 hrs | | T. Hofmann |
263-2925-00L | Program Analysis for System Security and Reliability | W | 6 credits | 2V + 1U + 2A | |
263-2925-00 V | Program Analysis for System Security and Reliability | | | 2 hrs | | P. Tsankov |
263-2925-00 U | Program Analysis for System Security and Reliability | | | 1 hrs | | P. Tsankov |
263-2925-00 A | Program Analysis for System Security and Reliability | | | 2 hrs | | P. Tsankov |
263-3710-00L | Machine Perception Number of participants limited to 200. | W | 5 credits | 2V + 1U + 1A | |
263-3710-00 V | Machine Perception | | | 2 hrs | | O. Hilliges |
263-3710-00 U | Machine Perception | | | 1 hrs | | O. Hilliges |
263-3710-00 A | Machine Perception | | | 1 hrs | | O. Hilliges |