Data Science Master |
Core Courses |
Data Analysis |
Information and Learning |
Number | Title | Type | ECTS | Hours | Lecturers |
---|
252-0535-00L | Advanced Machine Learning | W | 8 credits | 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 hrs | | J. M. Buhmann |
252-0535-00 U | Advanced Machine Learning | | | 2 hrs | | J. M. Buhmann |
252-0535-00 A | Advanced Machine Learning
Project Work, no fixed presence required. | | | 2 hrs | | J. M. Buhmann |
|
Statistics |
Number | Title | Type | ECTS | Hours | Lecturers |
---|
401-3621-00L | Fundamentals of Mathematical Statistics | W | 10 credits | 4V + 1U | |
401-3621-00 V | Fundamentals of Mathematical Statistics | | | 4 hrs | | S. van de Geer |
401-3621-00 U | Fundamentals of Mathematical Statistics | | | 1 hrs | | S. van de Geer |
|
Data Management |
Number | Title | Type | ECTS | Hours | Lecturers |
---|
263-3010-00L | Big Data | W | 8 credits | 3V + 2U + 2A | |
263-3010-00 V | Big Data | | | 3 hrs | | G. Fourny |
263-3010-00 U | Big Data | | | 2 hrs | | G. Fourny |
263-3010-00 A | Big Data
Individual work to get hands-on experience with the technologies covered, no fixed presence required. | | | 2 hrs | | G. Fourny |
263-4500-10L | Advanced Algorithms (with Project) Only for Data Science MSc. | W | 8 credits | 2V + 2U + 2P + 1A | |
263-4500-00 V | Advanced Algorithms | | | 2 hrs | | M. Ghaffari,
A. Krause |
263-4500-00 U | Advanced Algorithms | | | 2 hrs | | M. Ghaffari,
A. Krause |
263-4500-10 P | Advanced Algorithms | | | 2 hrs | | A. Krause |
263-4500-00 A | Advanced Algorithms | | | 1 hrs | | M. Ghaffari,
A. Krause |
|
Core Electives |
Number | Title | Type | ECTS | Hours | Lecturers |
---|
151-0563-01L | Dynamic Programming and Optimal Control | W | 4 credits | 2V + 1U | |
151-0563-01 V | Dynamic Programming and Optimal Control
The lecture will start in the 2nd week of Semester. | | | 2 hrs | | R. D'Andrea |
151-0563-01 U | Dynamic Programming and Optimal Control
The exercise will start in the 2nd week of Semester. | | | 1 hrs | | R. D'Andrea |
252-0417-00L | Randomized Algorithms and Probabilistic Methods | W | 8 credits | 3V + 2U + 2A | |
252-0417-00 V | Randomized Algorithms and Probabilistic Methods | | | 3 hrs | | A. Steger |
252-0417-00 U | Randomized Algorithms and Probabilistic Methods | | | 2 hrs | | A. Steger |
252-0417-00 A | Randomized Algorithms and Probabilistic Methods
Project Work, no fixed presence required. | | | 2 hrs | | A. Steger |
252-1414-00L | System Security | W | 5 credits | 2V + 2U | |
252-1414-00 V | System Security | | | 2 hrs | | S. Capkun,
A. Perrig |
252-1414-00 U | System Security | | | 2 hrs | | S. Capkun,
A. Perrig |
261-5130-00L | Research in Data Science | W | 6 credits | 13A | |
261-5130-00 A | Research in Data Science | | | 180s hrs | | Professors |
263-0006-00L | Algorithms Lab Only for master students, otherwise a special permission by the student administration of D-INFK is required. | W | 8 credits | 4P + 3A | |
263-0006-00 P | Algorithms Lab
Office hours: Friday, 15-17, CAB G 11 | | | 4 hrs | | A. Steger,
E. Welzl,
P. Widmayer |
263-0006-00 A | Algorithms Lab
Project Work, no fixed presence required. | | | 3 hrs | | A. Steger,
E. Welzl,
P. Widmayer |
263-0007-00L | Advanced Systems Lab Only for master students, otherwise a special permission by the student administration of D-INFK is required. | W | 8 credits | 4P + 3A | |
263-0007-00 P | Advanced Systems Lab | | | 4 hrs | | G. Alonso |
263-0007-00 A | Advanced Systems Lab
Project Work, no fixed presence required. | | | 3 hrs | | G. Alonso |
263-2400-00L | Reliable and Interpretable Artificial Intelligence | W | 4 credits | 2V + 1U | |
263-2400-00 V | Reliable and Interpretable Artificial Intelligence | | | 2 hrs | | M. Vechev |
263-2400-00 U | Reliable and Interpretable Artificial Intelligence | | | 1 hrs | | M. Vechev |
263-2800-00L | Design of Parallel and High-Performance Computing | W | 7 credits | 3V + 2U + 1A | |
263-2800-00 V | Design of Parallel and High-Performance Computing | | | 3 hrs | | T. Hoefler,
M. Püschel |
263-2800-00 U | Design of Parallel and High-Performance Computing | | | 2 hrs | | T. Hoefler,
M. Püschel |
263-2800-00 A | Design of Parallel and High-Performance Computing
Project Work, no fixed presence required. | | | 1 hrs | | T. Hoefler,
M. Püschel |
263-3210-00L | Deep Learning Number of participants limited to 300. | W | 4 credits | 2V + 1U | |
263-3210-00 V | Deep Learning | | | 2 hrs | | F. Perez Cruz |
263-3210-00 U | Deep Learning | | | 1 hrs | | F. Perez Cruz |
263-5210-00L | Probabilistic Artificial Intelligence | W | 4 credits | 2V + 1U | |
263-5210-00 V | Probabilistic Artificial Intelligence
Vorlesung im HG E 7 mit Videoübertragung im HG E 3. | | | 2 hrs | | A. Krause |
263-5210-00 U | Probabilistic Artificial Intelligence | | | 1 hrs | | A. Krause |
263-5902-00L | Computer Vision | W | 6 credits | 3V + 1U + 1A | |
263-5902-00 V | Computer Vision | | | 3 hrs | | M. Pollefeys,
V. Ferrari,
L. Van Gool |
263-5902-00 U | Computer Vision | | | 1 hrs | | M. Pollefeys,
V. Ferrari,
L. Van Gool |
263-5902-00 A | Computer Vision | | | 1 hrs | | M. Pollefeys,
V. Ferrari,
L. Van Gool |
401-0625-01L | Applied Analysis of Variance and Experimental Design | W | 5 credits | 2V + 1U | |
401-0625-01 V | Applied Analysis of Variance and Experimental Design | | | 2 hrs | | L. Meier |
401-0625-01 U | Applied Analysis of Variance and Experimental Design | | | 1 hrs | | L. Meier |
401-3054-14L | Probabilistic Methods in Combinatorics | W | 6 credits | 2V + 1U | |
401-3054-14 V | Probabilistic Methods in Combinatorics | | | 2 hrs | | B. Sudakov |
401-3054-14 U | Probabilistic Methods in Combinatorics | | | 1 hrs | | B. Sudakov |
401-3601-00L | Probability Theory At most one of the three course units (Bachelor Core Courses) 401-3461-00L Functional Analysis I 401-3531-00L Differential Geometry I 401-3601-00L Probability Theory can be recognised for the Master's degree in Mathematics or Applied Mathematics. | W | 10 credits | 4V + 1U | |
401-3601-00 V | Probability Theory | | | 4 hrs | | A.‑S. Sznitman |
401-3601-00 U | Probability Theory
Tue 13-14 or Tue 14-15 starting in the second week of the semester. | | | 1 hrs | | A.‑S. Sznitman |
401-3612-00L | Stochastic Simulation | W | 5 credits | 3G | |
401-3612-00 G | Stochastic Simulation | | | 3 hrs | | F. Sigrist |
401-3627-00L | High-Dimensional Statistics | W | 4 credits | 2V | |
401-3627-00 V | High-Dimensional Statistics
Does not take place this semester. | | | 2 hrs | | P. L. Bühlmann |