Search result: Courses in Autumn Semester 2024
| Cyber Security Master | ||||||||||||||||||
Minor | ||||||||||||||||||
Data Management Systems | ||||||||||||||||||
Core Courses | ||||||||||||||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 263-3010-00L | Big Data | W | 10 credits | 3V + 2U + 4A | ||||||||||||||
| 263-3010-00 V | Big Data | 3 hrs |
| G. Fourny | ||||||||||||||
| 263-3010-00 U | Big Data Groups are selected in myStudies. | 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 | 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 | |||||||||||||
| 252-0535-00L | Advanced Machine Learning | W | 10 credits | 3V + 2U + 4A | ||||||||||||||
| 252-0535-00 V | Advanced Machine Learning Freitag 8-10 HG F7 mit Videoübertragung ins HG F5. | 3 hrs |
| J. M. Buhmann, C. Cotrini Jimenez | ||||||||||||||
| 252-0535-00 U | Advanced Machine Learning Tutorials: Please attend only the tutorial assigned to you by the first letter of your surname. We do not attend requests to change tutorials. Wed 14-16 - CAB G 61 → surname A-L Fri 14-16 - CHN C 14 → surname M-Z All tutorial sessions are identical. | 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 | |||||||||||||||
| 252-1414-00L | System Security | W | 7 credits | 2V + 2U + 2A | ||||||||||||||
| 252-1414-00 V | System Security | 2 hrs |
| S. Capkun, S. Shinde | ||||||||||||||
| 252-1414-00 U | System Security The exercises begin in the second week of the semester. | 2 hrs |
| S. Capkun, S. Shinde | ||||||||||||||
| 252-1414-00 A | System Security | 2 hrs | S. Capkun, S. Shinde | |||||||||||||||
| 263-2800-00L | Design of Parallel and High-Performance Computing | W | 9 credits | 2V + 2U + 4A | ||||||||||||||
| 263-2800-00 V | Design of Parallel and High-Performance Computing | 2 hrs |
| T. Hoefler | ||||||||||||||
| 263-2800-00 U | Design of Parallel and High-Performance Computing | 2 hrs |
| T. Hoefler | ||||||||||||||
| 263-2800-00 A | Design of Parallel and High-Performance Computing Project Work, no fixed presence required. | 4 hrs | T. Hoefler | |||||||||||||||
| 263-3210-00L | Deep Learning | W | 8 credits | 3V + 2U + 2A | ||||||||||||||
| 263-3210-00 V | Deep Learning | 3 hrs |
| T. Hofmann | ||||||||||||||
| 263-3210-00 U | Deep Learning | 2 hrs |
| T. Hofmann | ||||||||||||||
| 263-3210-00 A | Deep Learning | 2 hrs | T. Hofmann | |||||||||||||||
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 Freitag 8-10 HG F7 mit Videoübertragung ins HG F5. | 3 hrs |
| J. M. Buhmann, C. Cotrini Jimenez | ||||||||||||||
| 252-0535-00 U | Advanced Machine Learning Tutorials: Please attend only the tutorial assigned to you by the first letter of your surname. We do not attend requests to change tutorials. Wed 14-16 - CAB G 61 → surname A-L Fri 14-16 - CHN C 14 → surname M-Z All tutorial sessions are identical. | 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 | 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 Fr 10-12 und 13-14 im ETA F5 mit Videoübertragung ins ETF E1 | 3 hrs |
| A. Krause | ||||||||||||||
| 263-5210-00 U | Probabilistic Artificial Intelligence Q&A session via zoom | 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 | W | 7 credits | 3V + 3U + 1A | ||||||||||||||
| 252-3005-00 V | Natural Language Processing | 3 hrs |
| R. Cotterell | ||||||||||||||
| 252-3005-00 U | Natural Language Processing | 3 hrs |
| R. Cotterell | ||||||||||||||
| 252-3005-00 A | Natural Language Processing | 1 hrs | R. Cotterell | |||||||||||||||
| 263-2400-00L | Reliable and Trustworthy Artificial Intelligence | W | 6 credits | 2V + 2U + 1A | ||||||||||||||
| 263-2400-00 V | Reliable and Trustworthy Artificial Intelligence | 2 hrs |
| M. Vechev | ||||||||||||||
| 263-2400-00 U | Reliable and Trustworthy Artificial Intelligence Exercise session will start in the second week of the semester. | 2 hrs |
| M. Vechev | ||||||||||||||
| 263-2400-00 A | Reliable and Trustworthy Artificial Intelligence | 1 hrs | M. Vechev | |||||||||||||||
| 263-5005-00L | Artificial Intelligence in Education | W | 3 credits | 1V + 0.5U | ||||||||||||||
| 263-5005-00 V | Artificial Intelligence in Education | 1 hrs |
| M. Sachan | ||||||||||||||
| 263-5005-00 U | Artificial Intelligence in Education | 0.5 hrs |
| M. Sachan | ||||||||||||||
| 263-5056-00L | Applications of Deep Learning on Graphs | W | 4 credits | 2G + 1A | ||||||||||||||
| 263-5056-00 G | Applications of Deep Learning on Graphs Does not take place this semester. Takes place again in SS25! | 2 hrs | G. Rätsch | |||||||||||||||
| 263-5056-00 A | Applications of Deep Learning on Graphs Does not take place this semester. | 1 hrs | G. Rätsch | |||||||||||||||
| 263-5300-00L | Guarantees for Machine Learning | W | 7 credits | 3V + 1U + 2A | ||||||||||||||
| 263-5300-00 V | Guarantees for Machine Learning Does not take place this semester. First lecture will start in the second week of the semester. | 3 hrs | F. Yang | |||||||||||||||
| 263-5300-00 U | Guarantees for Machine Learning Does not take place this semester. | 1 hrs | F. Yang | |||||||||||||||
| 263-5300-00 A | Guarantees for Machine Learning Does not take place this semester. | 2 hrs | F. Yang | |||||||||||||||
| 263-5351-00L | Machine Learning for Genomics | W | 6 credits | 2V + 2U + 1A | ||||||||||||||
| 263-5351-00 V | Machine Learning for Genomics | 2 hrs |
| V. Boeva | ||||||||||||||
| 263-5351-00 U | Machine Learning for Genomics | 2 hrs |
| V. Boeva | ||||||||||||||
| 263-5351-00 A | Machine Learning for Genomics | 1 hrs | V. Boeva | |||||||||||||||
| 263-5902-00L | Computer Vision | W | 8 credits | 3V + 1U + 3A | ||||||||||||||
| 263-5902-00 V | Computer Vision | 3 hrs |
| M. Pollefeys, S. Tang | ||||||||||||||
| 263-5902-00 U | Computer Vision | 1 hrs |
| M. Pollefeys, S. Tang | ||||||||||||||
| 263-5902-00 A | Computer Vision | 3 hrs | M. Pollefeys, S. Tang | |||||||||||||||
Theoretical Computer Science | ||||||||||||||||||
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 Freitag 8-10 HG F7 mit Videoübertragung ins HG F5. | 3 hrs |
| J. M. Buhmann, C. Cotrini Jimenez | ||||||||||||||
| 252-0535-00 U | Advanced Machine Learning Tutorials: Please attend only the tutorial assigned to you by the first letter of your surname. We do not attend requests to change tutorials. Wed 14-16 - CAB G 61 → surname A-L Fri 14-16 - CHN C 14 → surname M-Z All tutorial sessions are identical. | 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, M. Hoffmann, P. Schnider, E. Welzl, M. Wettstein | ||||||||||||||
| 252-1425-00 U | Geometry: Combinatorics and Algorithms | 2 hrs |
| B. Gärtner, M. Hoffmann, P. Schnider, E. Welzl, M. Wettstein | ||||||||||||||
| 252-1425-00 A | Geometry: Combinatorics and Algorithms Project Work, no fixed presence required. | 2 hrs | B. Gärtner, M. Hoffmann, P. Schnider, E. Welzl, M. Wettstein | |||||||||||||||
| 263-4500-00L | Advanced Algorithms | W | 9 credits | 3V + 2U + 3A | ||||||||||||||
| 263-4500-00 V | Advanced Algorithms | 3 hrs |
| J. Lengler, B. Häupler, M. Probst | ||||||||||||||
| 263-4500-00 U | Advanced Algorithms | 2 hrs |
| J. Lengler, B. Häupler, M. Probst | ||||||||||||||
| 263-4500-00 A | Advanced Algorithms | 3 hrs | J. Lengler, B. Häupler, M. Probst | |||||||||||||||
Elective Courses | ||||||||||||||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||
| 227-0417-00L | Information Theory I | W | 6 credits | 4G | ||||||||||||||
| 227-0417-00 G | Information Theory I | 4 hrs |
| A. Lapidoth | ||||||||||||||
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