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Course units in Autumn Semester 2022
Data Science Master |
Core Courses |
Data Analysis |
Information and Learning |
Number | Title | Type | ECTS | Hours | Lecturers |
---|
252-0535-00L | Advanced Machine Learning | W | 10 credits | 3V + 2U + 4A | J. M. Buhmann,
C. Cotrini Jimenez |
227-0423-00L | Neural Network Theory Does not take place this semester. | W | 4 credits | 2V + 1U | H. Bölcskei |
|
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 |
---|
252-0417-00L | Randomized Algorithms and Probabilistic Methods | W | 10 credits | 3V + 2U + 4A | A. Steger |
263-3010-00L | Big Data | W | 10 credits | 3V + 2U + 4A | G. Fourny |
263-3845-00L | Data Management Systems | W | 8 credits | 3V + 1U + 3A | G. Alonso |
|
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 |
227-0689-00L | System Identification | W | 4 credits | 2V + 1U | R. Smith |
227-2210-00L | Computer Architecture | W | 8 credits | 6G + 1A | O. Mutlu |
252-1414-00L | System Security | W | 7 credits | 2V + 2U + 2A | S. Capkun,
S. Shinde |
252-3005-00L | Natural Language Processing Number of participants limited to 400. | W | 7 credits | 3V + 3U + 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! | W | 8 credits | 4P + 3A | A. Steger,
E. Welzl |
263-0009-00L | Information Security Lab Only for master students! | W | 8 credits | 2V + 1U + 3P + 1A | K. Paterson,
D. Basin,
S. Capkun,
D. Hofheinz,
A. Perrig,
S. Shinde,
F. Tramèr |
263-2400-00L | Reliable and Trustworthy Artificial Intelligence | W | 6 credits | 2V + 2U + 1A | M. Vechev |
263-2800-00L | Design of Parallel and High-Performance Computing Number of participants limited to 125. | W | 9 credits | 3V + 2U + 3A | T. Hoefler,
M. Püschel |
263-3210-00L | Deep Learning Number of participants limited to 320. | W | 8 credits | 3V + 2U + 2A | T. Hofmann,
F. Perez Cruz,
N. Perraudin |
263-5005-00L | Artificial Intelligence in Education | W | 3 credits | 1V + 0.5U | M. Sachan,
T. Sinha |