Search result: Course units in Autumn Semester 2018
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 | J. M. Buhmann | |
| 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 | |
| 263-3010-00L | Big Data  | W | 8 credits | 3V + 2U + 2A | G. Fourny | |
| 263-4500-10L | Advanced Algorithms (with Project) Only for Data Science MSc. | W | 8 credits | 2V + 2U + 2P + 1A | 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 | R. D'Andrea | |
| 252-0417-00L | Randomized Algorithms and Probabilistic Methods | W | 8 credits | 3V + 2U + 2A | A. Steger | |
| 252-1414-00L | System Security | W | 5 credits | 2V + 2U | S. Capkun, A. Perrig | |
| 261-5130-00L | Research in Data Science | W | 6 credits | 13A | 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 | 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 | G. Alonso | |
| 263-2400-00L | Reliable and Interpretable Artificial Intelligence | W | 4 credits | 2V + 1U | M. Vechev | |
| 263-2800-00L | Design of Parallel and High-Performance Computing | W | 7 credits | 3V + 2U + 1A | T. Hoefler, M. Püschel | |
| 263-3210-00L | Deep Learning Number of participants limited to 300. | W | 4 credits | 2V + 1U | F. Perez Cruz | |
| 263-5210-00L | Probabilistic Artificial Intelligence | W | 4 credits | 2V + 1U | A. Krause | |
| 263-5902-00L | Computer Vision | W | 6 credits | 3V + 1U + 1A | M. Pollefeys, V. Ferrari, L. Van Gool | |
| 401-0625-01L | Applied Analysis of Variance and Experimental Design | W | 5 credits | 2V + 1U | L. Meier | |
| 401-3054-14L | Probabilistic Methods in Combinatorics | W | 6 credits | 2V + 1U | 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 | A.‑S. Sznitman | |
| 401-3612-00L | Stochastic Simulation | W | 5 credits | 3G | F. Sigrist | |
| 401-3627-00L | High-Dimensional Statistics Does not take place this semester. | W | 4 credits | 2V | P. L. Bühlmann | |
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