Computer Science Master |
Master Studies (Programme Regulations 2020) |
Majors |
Major in Machine Intelligence |
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 |
263-3210-00L | 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 |
|
Elective Courses |
Number | Title | Type | ECTS | Hours | Lecturers |
---|
252-3005-00L | Natural Language Processing Number of participants limited to 200. | W | 5 credits | 2V + 1U + 1A | |
252-3005-00 V | Natural Language Processing
The lecturers will communicate the exact lesson times of ONLINE courses. | | | 2 hrs | | R. Cotterell |
252-3005-00 U | Natural Language Processing
The lecturers will communicate the exact lesson times of ONLINE courses. | | | 1 hrs | | R. Cotterell |
252-3005-00 A | Natural Language Processing | | | 1 hrs | | R. Cotterell |
261-5100-00L | Computational Biomedicine Number of participants limited to 60. | W | 5 credits | 2V + 1U + 1A | |
261-5100-00 V | Computational Biomedicine
The lecturers will communicate the exact lesson times of ONLINE courses. | | | 2 hrs | | G. Rätsch,
V. Boeva,
N. Davidson |
261-5100-00 U | Computational Biomedicine
The lecturers will communicate the exact lesson times of ONLINE courses. | | | 1 hrs | | G. Rätsch,
V. Boeva,
N. Davidson |
261-5100-00 A | Computational Biomedicine | | | 1 hrs | | G. Rätsch,
V. Boeva,
N. Davidson |
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 |
263-4500-00L | 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 |
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 |