101-0522-10L
Doctoral Seminar Data Science and Machine Learning in Civil, Env. and Geospatial Engineering
Performance assessment information (valid until the course unit is held again) |
Performance assessment as a semester course |
ECTS credits | 1 credit |
Examiners | K. Schindler,
E. Chatzi,
F. Corman,
O. Fink,
I. Hajnsek,
M. A. Kraus,
M. Lukovic,
M. Raubal,
B. Soja,
B. Sudret |
Type | ungraded semester performance |
Language of examination | English |
Repetition | Repetition only possible after re-enrolling for the course unit. |
Additional information on mode of examination | Ungraded semester performance. Presence is mandatory to pass the seminar. Every participant has to present his/her reseach. |