101-0190-08L  Uncertainty Quantification and Data Analysis in Applied Sciences

SemesterFrühjahrssemester 2022
DozierendeE. Chatzi, P. Koumoutsakos, S. Marelli, V. Ntertimanis, K. Papadimitriou
Periodizität2-jährlich wiederkehrende Veranstaltung
KommentarThe is open to doctoral students from within ETH and UZH who work in the field of Computational Science. External graduate students and other auditors will be allowed by permission of the instructors.

101-0190-08 GUncertainty Quantification and Data Analysis in Applied Sciences
Block course: May 9-20, 2022, whereof May 12-16 will be entirely virtual,
The lecturers will communicate the exact lesson times of ONLINE courses.
54s Std.
09.05. - 11.05.09-17HG F 26.3 »
12.05. - 16.05.09-17ON LI NE »
17.05. - 20.05.09-17ML H 37.1 »
E. Chatzi, P. Koumoutsakos, S. Marelli, V. Ntertimanis, K. Papadimitriou