Data Science Master |
Kernfächer |
Datenanalyse |
Information and Learning |
Nummer | Titel | Typ | ECTS | Umfang | Dozierende |
---|
252-0535-00L | Advanced Machine Learning | W | 8 KP | 3V + 2U + 2A | |
252-0535-00 V | Advanced Machine Learning
Vorlesung: Donnerstag im ML D 28 mit Videoübertragung im ML E 12 Freitag im HG F 1 mit Videoübertragung im HG F 3 | | | 3 Std. | | J. M. Buhmann |
252-0535-00 U | Advanced Machine Learning | | | 2 Std. | | J. M. Buhmann |
252-0535-00 A | Advanced Machine Learning
Project Work, no fixed presence required. | | | 2 Std. | | J. M. Buhmann |
227-0423-00L | Neural Network Theory | W | 4 KP | 2V + 1U | |
227-0423-00 V | Neural Network Theory | | | 2 Std. | | H. Bölcskei,
E. Riegler |
227-0423-00 U | Neural Network Theory | | | 1 Std. | | H. Bölcskei,
E. Riegler |
|
Statistics |
Nummer | Titel | Typ | ECTS | Umfang | Dozierende |
---|
401-3621-00L | Fundamentals of Mathematical Statistics | W | 10 KP | 4V + 1U | |
401-3621-00 V | Fundamentals of Mathematical Statistics | | | 4 Std. | | S. van de Geer |
401-3621-00 U | Fundamentals of Mathematical Statistics | | | 1 Std. | | S. van de Geer |
|
Datenmanagement und Datenverarbeitung |
Nummer | Titel | Typ | ECTS | Umfang | Dozierende |
---|
263-3010-00L | Big Data | W | 8 KP | 3V + 2U + 2A | |
263-3010-00 V | Big Data | | | 3 Std. | | G. Fourny |
263-3010-00 U | Big Data
Gruppeneinteilung erfolgt über myStudies.
| | | 2 Std. | | G. Fourny |
263-3010-00 A | Big Data
Individual work to get hands-on experience with the technologies covered, no fixed presence required. | | | 2 Std. | | G. Fourny |
263-4500-10L | Advanced Algorithms (with Project) Only for Data Science MSc. | W | 8 KP | 2V + 2U + 2P + 1A | |
263-4500-00 V | Advanced Algorithms | | | 2 Std. | | M. Ghaffari,
A. Krause |
263-4500-00 U | Advanced Algorithms | | | 2 Std. | | M. Ghaffari,
A. Krause |
263-4500-10 P | Advanced Algorithms | | | 2 Std. | | A. Krause |
263-4500-00 A | Advanced Algorithms | | | 1 Std. | | M. Ghaffari,
A. Krause |
|
Wählbare Kernfächer |
Nummer | Titel | Typ | ECTS | Umfang | Dozierende |
---|
151-0563-01L | Dynamic Programming and Optimal Control | W | 4 KP | 2V + 1U | |
151-0563-01 V | Dynamic Programming and Optimal Control
The lecture will start in the 2nd week of Semester. | | | 2 Std. | | R. D'Andrea |
151-0563-01 U | Dynamic Programming and Optimal Control
The exercise will start in the 2nd week of Semester. | | | 1 Std. | | R. D'Andrea |
227-0101-00L | Discrete-Time and Statistical Signal Processing | W | 6 KP | 4G | |
227-0101-00 G | Discrete-Time and Statistical Signal Processing | | | 4 Std. | | H.‑A. Loeliger |
227-0417-00L | Information Theory I | W | 6 KP | 4G | |
227-0417-00 G | Information Theory I | | | 4 Std. | | A. Lapidoth |
227-0427-00L | Signal Analysis, Models, and Machine Learning | W | 6 KP | 4G | |
227-0427-00 G | Signal Analysis, Models, and Machine Learning | | | 4 Std. | | H.‑A. Loeliger |
227-0689-00L | System Identification | W | 4 KP | 2V + 1U | |
227-0689-00 V | System Identification | | | 2 Std. | | R. Smith |
227-0689-00 U | System Identification | | | 1 Std. | | R. Smith |
252-0417-00L | Randomized Algorithms and Probabilistic Methods | W | 8 KP | 3V + 2U + 2A | |
252-0417-00 V | Randomized Algorithms and Probabilistic Methods | | | 3 Std. | | A. Steger |
252-0417-00 U | Randomized Algorithms and Probabilistic Methods | | | 2 Std. | | A. Steger |
252-0417-00 A | Randomized Algorithms and Probabilistic Methods
Project Work, no fixed presence required. | | | 2 Std. | | A. Steger |
252-1407-00L | Algorithmic Game Theory | W | 7 KP | 3V + 2U + 1A | |
252-1407-00 V | Algorithmic Game Theory | | | 3 Std. | | P. Penna |
252-1407-00 U | Algorithmic Game Theory | | | 2 Std. | | P. Penna |
252-1407-00 A | Algorithmic Game Theory
Project Work, no fixed presence required. | | | 1 Std. | | P. Penna |
252-1414-00L | System Security | W | 7 KP | 2V + 2U + 2A | |
252-1414-00 V | System Security | | | 2 Std. | | S. Capkun,
A. Perrig |
252-1414-00 U | System Security
The exercises begin in the second week of the semester. | | | 2 Std. | | S. Capkun,
A. Perrig |
252-1414-00 A | System Security | | | 2 Std. | | S. Capkun,
A. Perrig |
261-5130-00L | Research in Data Science Only for Data Science MSc. | W | 6 KP | 13A | |
261-5130-00 A | Research in Data Science | | | 180s Std. | | Professor/innen |
263-0006-00L | Algorithms Lab Only for master students, otherwise a special permission by the student administration of D-INFK is required. | W | 8 KP | 4P + 3A | |
263-0006-00 P | Algorithms Lab | | | 4 Std. | | A. Steger |
263-0006-00 A | Algorithms Lab
Project Work, no fixed presence required. | | | 3 Std. | | A. Steger |
263-0007-00L | Advanced Systems Lab Beschränkte Teilnehmerzahl. Das ASL findet zum letzten Mal in dieser Form statt. Studierende, welche das Lab repetieren, haben Vorrang. Alle anderen besuchen das Lab im FS20! | W | 8 KP | 4P + 3A | |
263-0007-00 P | Advanced Systems Lab
| | | 4 Std. | | G. Alonso |
263-0007-00 A | Advanced Systems Lab
Project Work, no fixed presence required. | | | 3 Std. | | G. Alonso |
263-2400-00L | Reliable and Interpretable Artificial Intelligence | W | 5 KP | 2V + 1U + 1A | |
263-2400-00 V | Reliable and Interpretable Artificial Intelligence | | | 2 Std. | | M. Vechev |
263-2400-00 U | Reliable and Interpretable Artificial Intelligence
No exercise session in the first semester week. Exercise session will start in the second week of the semester. | | | 1 Std. | | M. Vechev |
263-2400-00 A | Reliable and Interpretable Artificial Intelligence | | | 1 Std. | | M. Vechev |
263-2800-00L | Design of Parallel and High-Performance Computing | W | 8 KP | 3V + 2U + 2A | |
263-2800-00 V | Design of Parallel and High-Performance Computing | | | 3 Std. | | M. Püschel,
T. Ben Nun |
263-2800-00 U | Design of Parallel and High-Performance Computing | | | 2 Std. | | M. Püschel,
T. Ben Nun |
263-2800-00 A | Design of Parallel and High-Performance Computing
Project Work, no fixed presence required. | | | 2 Std. | | M. Püschel,
T. Ben Nun |
263-3210-00L | Deep Learning | W | 5 KP | 2V + 1U + 1A | |
263-3210-00 V | Deep Learning
Vorlesung im HG F7 mit Videoübertragung im HG F5. | | | 2 Std. | | T. Hofmann |
263-3210-00 U | Deep Learning | | | 1 Std. | | T. Hofmann |
263-3210-00 A | Deep Learning | | | 1 Std. | | T. Hofmann |
263-5210-00L | Probabilistic Artificial Intelligence | W | 5 KP | 2V + 1U + 1A | |
263-5210-00 V | Probabilistic Artificial Intelligence
Vorlesung im HG E 7 mit Videoübertragung im HG E 3. | | | 2 Std. | | A. Krause |
263-5210-00 U | Probabilistic Artificial Intelligence | | | 1 Std. | | A. Krause |
263-5210-00 A | Probabilistic Artificial Intelligence | | | 1 Std. | | A. Krause |