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 | B. Soja,
E. Chatzi,
F. Corman,
I. Hajnsek,
M. A. Kraus,
M. Lukovic,
V. Ntertimanis,
K. Schindler,
M. J. Van Strien |
| 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. |
