Suchergebnis: Lerneinheiten im Herbstsemester 2020
Informatik Master | ||||||
Master-Studium (Studienreglement 2009) | ||||||
Vertiefungsfächer | ||||||
Vertiefung General Studies | ||||||
Kernfächer der Vertiefung General Studies | ||||||
Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |
---|---|---|---|---|---|---|
252-0237-00L | Concepts of Object-Oriented Programming | W | 8 KP | 3V + 2U + 2A | P. Müller | |
252-0417-00L | Randomized Algorithms and Probabilistic Methods Findet dieses Semester nicht statt. | W | 10 KP | 3V + 2U + 4A | A. Steger | |
252-0463-00L | Security Engineering | W | 7 KP | 2V + 2U + 2A | D. Basin, S. Krstic | |
252-0535-00L | Advanced Machine Learning | W | 10 KP | 3V + 2U + 4A | J. M. Buhmann, C. Cotrini Jimenez | |
252-1414-00L | System Security | W | 7 KP | 2V + 2U + 2A | S. Capkun, A. Perrig | |
263-2800-00L | Design of Parallel and High-Performance Computing | W | 9 KP | 3V + 2U + 3A | T. Hoefler, M. Püschel | |
263-3010-00L | Big Data | W | 10 KP | 3V + 2U + 4A | G. Fourny | |
263-3845-00L | Data Management Systems | W | 8 KP | 3V + 1U + 3A | G. Alonso | |
263-4640-00L | Network Security | W | 8 KP | 2V + 2U + 3A | A. Perrig, S. Frei, M. Legner | |
263-5902-00L | Computer Vision | W | 8 KP | 3V + 1U + 3A | M. Pollefeys, S. Tang, V. Ferrari | |
636-0007-00L | Computational Systems Biology | W | 6 KP | 3V + 2U | J. Stelling | |
Wahlfächer der Vertiefung General Studies | ||||||
Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |
252-0543-01L | Computer Graphics | W | 8 KP | 3V + 2U + 2A | M. Gross, M. Papas | |
252-0546-00L | Physically-Based Simulation in Computer Graphics | W | 5 KP | 2V + 1U + 1A | V. da Costa de Azevedo, B. Solenthaler | |
252-0811-00L | Applied Security Laboratory Gilt nur für MSc-Reglement 09: In the Master Programme max. 10 credits can be accounted by Labs on top of the Interfocus Courses. Additional Labs will be listed on the Addendum. | W | 8 KP | 7P | D. Basin | |
252-0817-00L | Distributed Systems Laboratory Gilt nur für MSc-Reglement 09: Im Masterstudium können zusätzlich zu den Vertiefungsübergreifenden Fächern nur max. 10 Kreditpunkte über Laboratorien erarbeitet werden. Diese Labs gelten nur für das Masterstudium. Weitere Laboratorien werden auf dem Beiblatt aufgeführt. | W | 10 KP | 9P | G. Alonso, T. Hoefler, A. Klimovic, T. Roscoe, A. Singla, R. Wattenhofer, C. Zhang | |
252-1407-00L | Algorithmic Game Theory | W | 7 KP | 3V + 2U + 1A | P. Penna | |
252-1411-00L | Security of Wireless Networks | W | 6 KP | 2V + 1U + 2A | S. Capkun, K. Kostiainen | |
252-1425-00L | Geometry: Combinatorics and Algorithms | W | 8 KP | 3V + 2U + 2A | B. Gärtner, E. Welzl, M. Hoffmann, M. Wettstein | |
227-2210-00L | Computer Architecture | W | 8 KP | 6G + 1A | O. Mutlu | |
263-2400-00L | Reliable and Interpretable Artificial Intelligence | W | 6 KP | 2V + 2U + 1A | M. Vechev | |
252-3005-00L | Natural Language Processing Number of participants limited to 200. | W | 5 KP | 2V + 1U + 1A | R. Cotterell | |
263-3210-00L | Deep Learning | W | 8 KP | 3V + 2U + 2A | T. Hofmann | |
263-3850-00L | Informal Methods | W | 5 KP | 2G + 2A | D. Cock | |
263-4500-00L | Advanced Algorithms | W | 9 KP | 3V + 2U + 3A | M. Ghaffari | |
263-5210-00L | Probabilistic Artificial Intelligence | W | 8 KP | 3V + 2U + 2A | A. Krause | |
263-5905-00L | Mixed Reality Laboratory Gilt nur für MSc-Reglement 09: Im Masterstudium können zusätzlich zu den Vertiefungsübergreifenden Fächern nur max. 10 Kreditpunkte über Laboratorien erarbeitet werden. Weitere Laboratorien werden auf dem Beiblatt aufgeführt. | W | 10 KP | 9P | F. Bogo, M. R. Oswald | |
261-5100-00L | Computational Biomedicine Number of participants limited to 60. | W | 5 KP | 2V + 1U + 1A | G. Rätsch, V. Boeva, N. Davidson | |
227-0575-00L | Advanced Topics in Communication Networks (Autumn 2020) | W | 6 KP | 2V + 2U | L. Vanbever | |
401-3054-14L | Probabilistic Methods in Combinatorics | W | 6 KP | 2V + 1U | B. Sudakov | |
401-3901-00L | Mathematical Optimization | W | 11 KP | 4V + 2U | R. Zenklusen | |
401-4521-70L | Geometric Tomography - Uniqueness, Statistical Reconstruction and Algorithms | W | 4 KP | 2V | J. Hörrmann | |
636-0017-00L | Computational Biology | W | 6 KP | 3G + 2A | T. Stadler, T. Vaughan | |
Seminar in General Studies | ||||||
Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |
252-3811-00L | Case Studies from Practice Seminar Number of participants limited to 24. The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar. | W | 3 KP | 2S | M. Brandis | |
252-4601-00L | Current Topics in Information Security Number of participants limited to 24. The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar. | W | 2 KP | 2S | S. Capkun, K. Paterson, A. Perrig | |
252-5051-00L | Advanced Topics in Machine Learning Number of participants limited to 40. The deadline for deregistering expires at the end of the fourth week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar. | W | 2 KP | 2S | J. M. Buhmann, G. Rätsch, J. Vogt, F. Yang | |
252-5701-00L | Advanced Topics in Computer Graphics and Vision Number of participants limited to 24. The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar. | W | 2 KP | 2S | M. Gross, M. Pollefeys, O. Sorkine Hornung, S. Tang | |
263-2100-00L | Research Topics in Software Engineering Number of participants limited to 22. The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar. | W | 2 KP | 2S | Z. Su, M. Vechev | |
227-2211-00L | Seminar in Computer Architecture Number of participants limited to 22. The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar. | W | 2 KP | 2S | O. Mutlu, M. H. K. Alser, J. Gómez Luna | |
263-2926-00L | Deep Learning for Big Code Number of participants limited to 24. The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar. | W | 2 KP | 2S | V. Raychev | |
263-3504-00L | Hardware Acceleration for Data Processing The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar. | W | 2 KP | 2S | G. Alonso, A. Klimovic, C. Zhang | |
263-3608-00L | Digitalization and the Rebound Effect The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar. | W | 2 KP | 2S | V. C. Coroama | |
263-3900-01L | Communication Networks Seminar Number of participants limited to 20. The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar. | W | 2 KP | 2S | A. Singla, L. Vanbever | |
263-5155-00L | Causal Representation Learning The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar. | W | 2 KP | 2S | B. Schölkopf |