Search result: Courses in Autumn Semester 2020
Cyber Security Master | |||||||||||||||||||||||||||
Minor | |||||||||||||||||||||||||||
Information Systems | |||||||||||||||||||||||||||
Core Courses | |||||||||||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | ||||||||||||||||||||||
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263-3010-00L | Big Data | W | 10 credits | 3V + 2U + 4A | |||||||||||||||||||||||
263-3010-00 V | Big Data The lecturers will communicate the exact lesson times of ONLINE courses. | 3 hrs |
| G. Fourny | |||||||||||||||||||||||
263-3010-00 U | Big Data Groups are selected in myStudies. The lecturers will communicate the exact lesson times of ONLINE courses. | 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. | 4 hrs | G. Fourny | ||||||||||||||||||||||||
263-3845-00L | Data Management Systems | W | 8 credits | 3V + 1U + 3A | |||||||||||||||||||||||
263-3845-00 V | Data Management Systems "Hybrid" | 3 hrs |
| G. Alonso | |||||||||||||||||||||||
263-3845-00 U | Data Management Systems | 1 hrs |
| G. Alonso | |||||||||||||||||||||||
263-3845-00 A | Data Management Systems | 3 hrs | G. Alonso | ||||||||||||||||||||||||
Elective Courses | |||||||||||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | ||||||||||||||||||||||
263-2400-00L | Reliable and Interpretable Artificial Intelligence | W | 6 credits | 2V + 2U + 1A | |||||||||||||||||||||||
263-2400-00 V | Reliable and Interpretable Artificial Intelligence The lecturers will communicate the exact lesson times of ONLINE courses. | 2 hrs |
| M. Vechev | |||||||||||||||||||||||
263-2400-00 U | Reliable and Interpretable Artificial Intelligence Exercise session will start in the second week of the semester. | 2 hrs |
| M. Vechev | |||||||||||||||||||||||
263-2400-00 A | Reliable and Interpretable Artificial Intelligence | 1 hrs | M. Vechev | ||||||||||||||||||||||||
263-3210-00L | Deep Learning | W | 8 credits | 3V + 2U + 2A | |||||||||||||||||||||||
263-3210-00 V | Deep Learning The lecturers will communicate the exact lesson times from «online» courses. | 3 hrs |
| T. Hofmann | |||||||||||||||||||||||
263-3210-00 U | Deep Learning | 2 hrs |
| T. Hofmann | |||||||||||||||||||||||
263-3210-00 A | Deep Learning | 2 hrs | T. Hofmann | ||||||||||||||||||||||||
263-5210-00L | Probabilistic Artificial Intelligence | W | 8 credits | 3V + 2U + 2A | |||||||||||||||||||||||
263-5210-00 V | Probabilistic Artificial Intelligence The lectures will mostly be given in a lecture hall with limited attendance (at most 50% of lecture hall capacity). It will be possible to join remotely via zoom with acccess to slides, whiteboard, and speaker camera. Students can interact, e.g. ask questions, physically as well as digitally. The lectures will be recorded via zoom’s recording functionality. | 3 hrs |
| A. Krause | |||||||||||||||||||||||
263-5210-00 U | Probabilistic Artificial Intelligence | 2 hrs |
| A. Krause | |||||||||||||||||||||||
263-5210-00 A | Probabilistic Artificial Intelligence | 2 hrs | A. Krause | ||||||||||||||||||||||||
Software Engineering | |||||||||||||||||||||||||||
Core Courses | |||||||||||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | ||||||||||||||||||||||
252-0237-00L | Concepts of Object-Oriented Programming | W | 8 credits | 3V + 2U + 2A | |||||||||||||||||||||||
252-0237-00 V | Concepts of Object-Oriented Programming The lecturers will communicate the exact lesson times of ONLINE courses. | 3 hrs |
| P. Müller | |||||||||||||||||||||||
252-0237-00 U | Concepts of Object-Oriented Programming Students will be assigned to groups at the beginning of the semester. | 2 hrs |
| P. Müller | |||||||||||||||||||||||
252-0237-00 A | Concepts of Object-Oriented Programming | 2 hrs | P. Müller | ||||||||||||||||||||||||
263-2800-00L | Design of Parallel and High-Performance Computing | W | 9 credits | 3V + 2U + 3A | |||||||||||||||||||||||
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. | 3 hrs | T. Hoefler, M. Püschel | ||||||||||||||||||||||||
Elective Courses | |||||||||||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | ||||||||||||||||||||||
263-2400-00L | Reliable and Interpretable Artificial Intelligence | W | 6 credits | 2V + 2U + 1A | |||||||||||||||||||||||
263-2400-00 V | Reliable and Interpretable Artificial Intelligence The lecturers will communicate the exact lesson times of ONLINE courses. | 2 hrs |
| M. Vechev | |||||||||||||||||||||||
263-2400-00 U | Reliable and Interpretable Artificial Intelligence Exercise session will start in the second week of the semester. | 2 hrs |
| M. Vechev | |||||||||||||||||||||||
263-2400-00 A | Reliable and Interpretable Artificial Intelligence | 1 hrs | M. Vechev | ||||||||||||||||||||||||
Theoretical Computer Science | |||||||||||||||||||||||||||
Core Courses | |||||||||||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | ||||||||||||||||||||||
252-0417-00L | Randomized Algorithms and Probabilistic Methods | W | 10 credits | 3V + 2U + 4A | |||||||||||||||||||||||
252-0417-00 V | Randomized Algorithms and Probabilistic Methods Does not take place this semester. The lecturers will communicate the exact lesson times of ONLINE courses. | 3 hrs | A. Steger | ||||||||||||||||||||||||
252-0417-00 U | Randomized Algorithms and Probabilistic Methods Does not take place this semester. | 2 hrs | A. Steger | ||||||||||||||||||||||||
252-0417-00 A | Randomized Algorithms and Probabilistic Methods Does not take place this semester. Project Work, no fixed presence required. | 4 hrs | A. Steger | ||||||||||||||||||||||||
Elective Courses | |||||||||||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | ||||||||||||||||||||||
252-0535-00L | Advanced Machine Learning | W | 10 credits | 3V + 2U + 4A | |||||||||||||||||||||||
252-0535-00 V | Advanced Machine Learning The lectures will mostly be given in a lecture hall with limited attendance (at most 50% of lecture hall capacity). It will be possible to join remotely via zoom with acccess to slides, whiteboard, and speaker camera. Students can interact, e.g. ask questions, physically as well as digitally. The lectures will be recorded via zoom’s recording functionality. | 3 hrs |
| J. M. Buhmann, C. Cotrini Jimenez | |||||||||||||||||||||||
252-0535-00 U | Advanced Machine Learning | 2 hrs |
| J. M. Buhmann, C. Cotrini Jimenez | |||||||||||||||||||||||
252-0535-00 A | Advanced Machine Learning Project Work, no fixed presence required. | 4 hrs | J. M. Buhmann, C. Cotrini Jimenez | ||||||||||||||||||||||||
252-1425-00L | Geometry: Combinatorics and Algorithms | W | 8 credits | 3V + 2U + 2A | |||||||||||||||||||||||
252-1425-00 V | Geometry: Combinatorics and Algorithms | 3 hrs |
| B. Gärtner, E. Welzl, M. Hoffmann, M. Wettstein | |||||||||||||||||||||||
252-1425-00 U | Geometry: Combinatorics and Algorithms | 2 hrs |
| B. Gärtner, E. Welzl, M. Hoffmann, M. Wettstein | |||||||||||||||||||||||
252-1425-00 A | Geometry: Combinatorics and Algorithms Project Work, no fixed presence required. | 2 hrs | B. Gärtner, E. Welzl, M. Hoffmann, M. Wettstein | ||||||||||||||||||||||||
263-4500-00L | Advanced Algorithms | W | 9 credits | 3V + 2U + 3A | |||||||||||||||||||||||
263-4500-00 V | Advanced Algorithms The lecturers will communicate the exact lesson times of ONLINE courses. | 3 hrs |
| M. Ghaffari | |||||||||||||||||||||||
263-4500-00 U | Advanced Algorithms The lecturers will communicate the exact lesson times of ONLINE courses. | 2 hrs |
| M. Ghaffari | |||||||||||||||||||||||
263-4500-00 A | Advanced Algorithms | 3 hrs | M. Ghaffari | ||||||||||||||||||||||||
401-3901-00L | Mathematical Optimization | W | 11 credits | 4V + 2U | |||||||||||||||||||||||
401-3901-00 V | Mathematical Optimization The lecturers will communicate the exact lesson times of ONLINE courses. | 4 hrs |
| R. Zenklusen | |||||||||||||||||||||||
401-3901-00 U | Mathematical Optimization Groups are selected in myStudies. Thu 14-16 or Fri 10-12 or Fr 12-14 or Fri 14-16 (depending on demand) The lecturers will communicate the exact lesson times of ONLINE courses. | 2 hrs |
| R. Zenklusen | |||||||||||||||||||||||
Visual Computing | |||||||||||||||||||||||||||
Core Courses | |||||||||||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | ||||||||||||||||||||||
252-0535-00L | Advanced Machine Learning | W | 10 credits | 3V + 2U + 4A | |||||||||||||||||||||||
252-0535-00 V | Advanced Machine Learning The lectures will mostly be given in a lecture hall with limited attendance (at most 50% of lecture hall capacity). It will be possible to join remotely via zoom with acccess to slides, whiteboard, and speaker camera. Students can interact, e.g. ask questions, physically as well as digitally. The lectures will be recorded via zoom’s recording functionality. | 3 hrs |
| J. M. Buhmann, C. Cotrini Jimenez | |||||||||||||||||||||||
252-0535-00 U | Advanced Machine Learning | 2 hrs |
| J. M. Buhmann, C. Cotrini Jimenez | |||||||||||||||||||||||
252-0535-00 A | Advanced Machine Learning Project Work, no fixed presence required. | 4 hrs | J. M. Buhmann, C. Cotrini Jimenez | ||||||||||||||||||||||||
263-5902-00L | Computer Vision | W | 8 credits | 3V + 1U + 3A | |||||||||||||||||||||||
263-5902-00 V | Computer Vision The lecturers will communicate the exact lesson times of ONLINE courses. | 3 hrs |
| M. Pollefeys, S. Tang, V. Ferrari | |||||||||||||||||||||||
263-5902-00 U | Computer Vision | 1 hrs |
| M. Pollefeys, S. Tang, V. Ferrari | |||||||||||||||||||||||
263-5902-00 A | Computer Vision | 3 hrs | M. Pollefeys, S. Tang, V. Ferrari | ||||||||||||||||||||||||
Elective Courses | |||||||||||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | ||||||||||||||||||||||
252-0543-01L | Computer Graphics | W | 8 credits | 3V + 2U + 2A | |||||||||||||||||||||||
252-0543-01 V | Computer Graphics The lecturers will communicate the exact lesson times of ONLINE courses. | 3 hrs |
| M. Gross, M. Papas | |||||||||||||||||||||||
252-0543-01 U | Computer Graphics The lecturers will communicate the exact lesson times of ONLINE courses. | 2 hrs |
| M. Gross, M. Papas | |||||||||||||||||||||||
252-0543-01 A | Computer Graphics | 2 hrs | M. Gross, M. Papas | ||||||||||||||||||||||||
252-0546-00L | Physically-Based Simulation in Computer Graphics | W | 5 credits | 2V + 1U + 1A | |||||||||||||||||||||||
252-0546-00 V | Physically-Based Simulation in Computer Graphics The lecturers will communicate the exact lesson times of ONLINE courses. | 2 hrs |
| V. da Costa de Azevedo, B. Solenthaler | |||||||||||||||||||||||
252-0546-00 U | Physically-Based Simulation in Computer Graphics The lecturers will communicate the exact lesson times of ONLINE courses. | 1 hrs |
| V. da Costa de Azevedo, B. Solenthaler | |||||||||||||||||||||||
252-0546-00 A | Physically-Based Simulation in Computer Graphics | 1 hrs | V. da Costa de Azevedo, B. Solenthaler | ||||||||||||||||||||||||
263-2400-00L | Reliable and Interpretable Artificial Intelligence | W | 6 credits | 2V + 2U + 1A | |||||||||||||||||||||||
263-2400-00 V | Reliable and Interpretable Artificial Intelligence The lecturers will communicate the exact lesson times of ONLINE courses. | 2 hrs |
| M. Vechev | |||||||||||||||||||||||
263-2400-00 U | Reliable and Interpretable Artificial Intelligence Exercise session will start in the second week of the semester. | 2 hrs |
| M. Vechev | |||||||||||||||||||||||
263-2400-00 A | Reliable and Interpretable Artificial Intelligence | 1 hrs | M. Vechev | ||||||||||||||||||||||||
263-5210-00L | Probabilistic Artificial Intelligence | W | 8 credits | 3V + 2U + 2A | |||||||||||||||||||||||
263-5210-00 V | Probabilistic Artificial Intelligence The lectures will mostly be given in a lecture hall with limited attendance (at most 50% of lecture hall capacity). It will be possible to join remotely via zoom with acccess to slides, whiteboard, and speaker camera. Students can interact, e.g. ask questions, physically as well as digitally. The lectures will be recorded via zoom’s recording functionality. | 3 hrs |
| A. Krause | |||||||||||||||||||||||
263-5210-00 U | Probabilistic Artificial Intelligence | 2 hrs |
| A. Krause | |||||||||||||||||||||||
263-5210-00 A | Probabilistic Artificial Intelligence | 2 hrs | A. Krause | ||||||||||||||||||||||||
Interfocus Courses | |||||||||||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | ||||||||||||||||||||||
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 The lecturers will communicate the exact lesson times of ONLINE courses. | 4 hrs |
| E. Welzl | |||||||||||||||||||||||
263-0006-00 A | Algorithms Lab Project Work, no fixed presence required. | 3 hrs | E. Welzl |
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