Data Science Master  |
 Core Courses |
| 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 |
| 227-0101-00L | Discrete-Time and Statistical Signal Processing | W | 6 credits | 4G | |
| 227-0101-00 G | Discrete-Time and Statistical Signal Processing | | | 4 hrs | | H.‑A. Loeliger |
| 227-0417-00L | Information Theory I | W | 6 credits | 4G | |
| 227-0417-00 G | Information Theory I | | | 4 hrs | | A. Lapidoth |
| 227-0427-00L | Signal Analysis, Models, and Machine Learning | W | 6 credits | 4G | |
| 227-0427-00 G | Signal Analysis, Models, and Machine Learning | | | 4 hrs | | H.‑A. Loeliger |
| 227-0689-00L | System Identification | W | 4 credits | 2V + 1U | |
| 227-0689-00 V | System Identification | | | 2 hrs | | R. Smith |
| 227-0689-00 U | System Identification | | | 1 hrs | | R. Smith |
| 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 |
| 252-1407-00L | Algorithmic Game Theory | W | 7 credits | 3V + 2U + 1A | |
| 252-1407-00 V | Algorithmic Game Theory | | | 3 hrs | | P. Penna |
| 252-1407-00 U | Algorithmic Game Theory | | | 2 hrs | | P. Penna |
| 252-1407-00 A | Algorithmic Game Theory
Project Work, no fixed presence required. | | | 1 hrs | | P. Penna |
| 252-1414-00L | System Security | W | 7 credits | 2V + 2U + 2A | |
| 252-1414-00 V | System Security | | | 2 hrs | | S. Capkun,
A. Perrig |
| 252-1414-00 U | System Security
The exercises begin in the second week of the semester. | | | 2 hrs | | S. Capkun,
A. Perrig |
| 252-1414-00 A | System Security | | | 2 hrs | | S. Capkun,
A. Perrig |
| 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 |
| 263-0006-00L | 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 | | | 4 hrs | | A. Steger |
| 263-0006-00 A | Algorithms Lab
Project Work, no fixed presence required. | | | 3 hrs | | A. Steger |
| 263-0007-00L | Advanced Systems Lab Limited number of participants.
Takes place the last time in this form.
Students who repeat the lab have priority. All others have to take the course in the spring semester 20! | 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 | 5 credits | 2V + 1U + 1A | |
| 263-2400-00 V | Reliable and Interpretable Artificial Intelligence | | | 2 hrs | | 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 hrs | | M. Vechev |
| 263-2400-00 A | Reliable and Interpretable Artificial Intelligence | | | 1 hrs | | M. Vechev |
| 263-2800-00L | Design of Parallel and High-Performance Computing | W | 8 credits | 3V + 2U + 2A | |
| 263-2800-00 V | Design of Parallel and High-Performance Computing | | | 3 hrs | | M. Püschel,
T. Ben Nun |
| 263-2800-00 U | Design of Parallel and High-Performance Computing | | | 2 hrs | | M. Püschel,
T. Ben Nun |
| 263-2800-00 A | Design of Parallel and High-Performance Computing
Project Work, no fixed presence required. | | | 2 hrs | | M. Püschel,
T. Ben Nun |
| 263-3210-00L | Deep Learning | W | 5 credits | 2V + 1U + 1A | |
| 263-3210-00 V | Deep Learning
Vorlesung im HG F7 mit Videoübertragung im HG F5. | | | 2 hrs | | T. Hofmann |
| 263-3210-00 U | Deep Learning | | | 1 hrs | | T. Hofmann |
| 263-3210-00 A | Deep Learning | | | 1 hrs | | T. Hofmann |
| 263-5210-00L | Probabilistic Artificial Intelligence | W | 5 credits | 2V + 1U + 1A | |
| 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 |
| 263-5210-00 A | Probabilistic Artificial Intelligence | | | 1 hrs | | A. Krause |
| 263-5902-00L | Computer Vision | W | 7 credits | 3V + 1U + 2A | |
| 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 | | | 2 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 |
| 401-3055-64L | Algebraic Methods in Combinatorics | W | 6 credits | 2V + 1U | |
| 401-3055-64 V | Algebraic Methods in Combinatorics | | | 2 hrs | | B. Sudakov |
| 401-3055-64 U | Algebraic Methods in Combinatorics
Groups are selected in myStudies.
| | | 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 |
| 401-3622-00L | Statistical Modelling | W | 8 credits | 4G | |
| 401-3622-00 G | Statistical Modelling
Former course title until FS 19: Regression | | | 4 hrs | | C. Heinze-Deml |
| 401-3627-00L | High-Dimensional Statistics | W | 4 credits | 2V | |
| 401-3627-00 V | High-Dimensional Statistics | | | 2 hrs | | P. L. Bühlmann |
| 401-3901-00L | Mathematical Optimization | W | 11 credits | 4V + 2U | |
| 401-3901-00 V | Mathematical Optimization
The class on 19 December 2019 will take place in HG E 1.1. | | | 4 hrs | | R. Zenklusen |
| 401-3901-00 U | Mathematical Optimization
Groups are selected in myStudies.
Thu 13-15 or Fri 10-12 or Fr 12-14 or Fri 14-16 (depending on demand) | | | 2 hrs | | R. Zenklusen |
| 401-3612-00L | Stochastic Simulation | W | 5 credits | 3G | |
| 401-3612-00 G | Stochastic Simulation
Does not take place this semester. | | | 3 hrs | | |
| 401-4619-67L | Advanced Topics in Computational Statistics | W | 4 credits | 2V | |
| 401-4619-00 V | Advanced Topics in Computational Statistics
Does not take place this semester.
As an exception does not take place in HS 2019. | | | 2 hrs | | not available |
| 401-4623-00L | Time Series Analysis | W | 6 credits | 3G | |
| 401-4623-00 G | Time Series Analysis
Does not take place this semester. | | | 3 hrs | | N. Meinshausen |
