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
Vorlesung im HG F 1 mit Videoübertragung ins HG F 3. | | | 3 hrs | | M. Mächler |
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. Mächler |
|
Data Management |
Number | Title | Type | ECTS | Hours | Lecturers |
---|
261-5110-00L | Optimization for Data Science | W | 10 credits | 3V + 2U + 4A | |
261-5110-00 V | Optimization for Data Science | | | 3 hrs | | B. Gärtner,
D. Steurer,
N. He |
261-5110-00 U | Optimization for Data Science | | | 2 hrs | | B. Gärtner,
D. Steurer,
N. He |
261-5110-00 A | Optimization for Data Science | | | 4 hrs | | B. Gärtner,
D. Steurer,
N. He |
|
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 Number of participants limited to 40. Registration in this class requires the permission of the instructors. | W | 6 credits | 3G | |
227-0155-00 G | Machine Learning on Microcontrollers
Permission from lecturers required for all students.
| | | 3 hrs | | M. Magno,
L. Benini |
227-0224-00L | Stochastic Systems | W | 4 credits | 2V + 1U | |
227-0224-00 V | Stochastic Systems
Does not take place this semester. Will be offered again in 2022. | | | 2 hrs | | to be announced |
227-0224-00 U | Stochastic Systems
Does not take place this semester. Will be offered again in 2022. | | | 1 hrs | | to be announced |
227-0420-00L | Information Theory II | W | 6 credits | 4G | |
227-0420-00 G | Information Theory II | | | 4 hrs | | A. Lapidoth,
S. M. Moser |
227-0424-00L | Model- and Learning-Based Inverse Problems in Imaging | W | 4 credits | 2V + 1P | |
227-0424-00 V | Model- and Learning-Based Inverse Problems in Imaging | | | 2 hrs | | V. Vishnevskiy |
227-0424-00 P | Model- and Learning-Based Inverse Problems in Imaging | | | 1 hrs | | V. Vishnevskiy |
227-0427-10L | Advanced Signal Analysis, Modeling, and Machine Learning | W | 6 credits | 4G | |
227-0427-10 G | Advanced Signal Analysis, Modeling, and Machine Learning | | | 4 hrs | | H.‑A. Loeliger |
227-0432-00L | Learning, Classification and Compression | W | 4 credits | 2V + 1U | |
227-0432-00 V | Learning, Classification and Compression | | | 2 hrs | | E. Riegler |
227-0432-00 U | Learning, Classification and Compression | | | 1 hrs | | E. Riegler |
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. Please send an email to Dengxin Dai < Link> about your courses/projects that are related to machine learning, computer vision, and Robotics. | 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 |
252-0211-00 U | Information Security | | | 3 hrs | | D. Basin,
S. Capkun |
252-0526-00L | Statistical Learning Theory | W | 8 credits | 3V + 2U + 2A | |
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 | | | 2 hrs | | J. M. Buhmann,
C. Cotrini Jimenez |
252-0538-00L | Shape Modeling and Geometry Processing | W | 8 credits | 2V + 1U + 4A | |
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 | | | 4 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 Processing Number of participants limited to 400. | W | 5 credits | 2V + 1U + 1A | |
252-3005-00 V | Natural Language Processing | | | 2 hrs | | R. Cotterell |
252-3005-00 U | Natural Language Processing | | | 1 hrs | | R. Cotterell |
252-3005-00 A | Natural Language Processing | | | 1 hrs | | R. Cotterell |
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 |