Informatik Master |
Vertiefungsfächer |
Vertiefung in Visual Computing |
Kernfächer der Vertiefung in Visual Computing |
Nummer | Titel | Typ | ECTS | Umfang | Dozierende |
---|
252-0538-00L | Shape Modeling and Geometry Processing | W | 5 KP | 2V + 1U + 1A | |
252-0538-00 V | Shape Modeling and Geometry Processing | | | 2 Std. | | O. Sorkine Hornung |
252-0538-00 U | Shape Modeling and Geometry Processing | | | 1 Std. | | O. Sorkine Hornung |
252-0538-00 A | Shape Modeling and Geometry Processing | | | 1 Std. | | O. Sorkine Hornung |
|
Wahlfächer der Vertiefung in Visual Computing |
Nummer | Titel | Typ | ECTS | Umfang | Dozierende |
---|
252-0526-00L | Statistical Learning Theory | W | 7 KP | 3V + 2U + 1A | |
252-0526-00 V | Statistical Learning Theory | | | 3 Std. | | J. M. Buhmann |
252-0526-00 U | Statistical Learning Theory | | | 2 Std. | | J. M. Buhmann |
252-0526-00 A | Statistical Learning Theory | | | 1 Std. | | J. M. Buhmann |
252-0570-00L | Game Programming Laboratory 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 | |
252-0570-00 P | Game Programming Laboratory | | | 9 Std. | | B. Sumner |
252-0579-00L | 3D Vision | W | 4 KP | 3G | |
252-0579-00 G | 3D Vision | | | 3 Std. | | M. Pollefeys,
V. Larsson |
263-3710-00L | Machine Perception Number of participants limited to 150. | W | 5 KP | 2V + 1U + 1A | |
263-3710-00 V | Machine Perception | | | 2 Std. | | O. Hilliges |
263-3710-00 U | Machine Perception | | | 1 Std. | | O. Hilliges |
263-3710-00 A | Machine Perception | | | 1 Std. | | O. Hilliges |
263-5215-00L | Fairness, Explainability, and Accountability for Machine Learning Number of participants limited to 40.
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 course, will officially fail the course. | W | 4 KP | 1V + 2P | |
263-5215-00 V | Fairness, Explainability, and Accountability for Machine Learning | | | 1 Std. | | H. Heidari |
263-5215-00 P | Fairness, Explainability, and Accountability for Machine Learning | | | 2 Std. | | H. Heidari |
252-5706-00L | Mathematical Foundations of Computer Graphics and Vision | W | 4 KP | 2V + 1U | |
252-5706-00 V | Mathematical Foundations of Computer Graphics and Vision | | | 2 Std. | | M. R. Oswald,
C. Öztireli |
252-5706-00 U | Mathematical Foundations of Computer Graphics and Vision | | | 1 Std. | | M. R. Oswald,
C. Öztireli |
263-5805-00L | Physics-based Modeling for Computational Fabrication and Robotics | W | 5 KP | 2V + 2U | |
263-5805-00 V | Physics-based Modeling for Computational Fabrication and Robotics | | | 2 Std. | | S. Coros,
M. Bächer,
K. Shea |
263-5805-00 U | Physics-based Modeling for Computational Fabrication and Robotics | | | 2 Std. | | S. Coros,
M. Bächer,
K. Shea |
227-1034-00L | Computational Vision (University of Zurich) No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH. UZH Module Code: INI402 Mind the enrolment deadlines at UZH: Link | W | 6 KP | 2V + 1U | |
227-1034-00 V | Computational Vision (University of Zurich)
**Course at University of Zurich** | | | 2 Std. | | D. Kiper |
227-1034-00 U | Computational Vision (University of Zurich)
**Course at University of Zurich** Exercise dates by arrangement. | | | 1 Std. | n. V. | D. Kiper |
|
Seminar in Visual Computing |
Nummer | Titel | Typ | ECTS | Umfang | Dozierende |
---|
252-5704-00L | Advanced Methods in Computer Graphics 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 | |
252-5704-00 S | Advanced Methods in Computer Graphics | | | 2 Std. | | M. Gross,
O. Sorkine Hornung |
263-5904-00L | Deep Learning for Computer Vision: Seminal Work 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 | |
263-5904-00 S | Deep Learning for Computer Vision: Seminal Work | | | 2 Std. | | Z. Cui |