| Number | Title | ECTS | Hours | Lecturers |
|---|
| 101-0522-10L | Doctoral Seminar Data Science and Machine Learning in Civil, Env. and Geospatial Engineering  Number of participants limited to 21. | 1 credit | 1S | |
| 101-0522-10 S | Doctoral Seminar Data Science and Machine Learning in Civil, Env. and Geospatial Engineering
 | | 1 hrs | | M. J. Van Strien,
E. Chatzi,
F. Corman,
I. Hajnsek,
M. A. Kraus,
M. Lukovic,
V. Ntertimanis,
K. Schindler,
B. Soja |
| 101-0523-13L | Frontiers in Machine Learning Applied to Civil, Env. and Geospatial Engineering (HS22) | 1 credit | 1G | |
| 101-0523-13 G | Frontiers in Machine Learning Applied to Civil, Env. and Geospatial Engineering (HS22)
Remark: Each autumn semester (HS) a new course with a new course number. | | 1 hrs | | M. J. Van Strien,
E. Chatzi,
F. Corman,
I. Hajnsek,
M. A. Kraus,
M. Lukovic,
V. Ntertimanis,
K. Schindler,
B. Soja |
| 103-0187-01L | Space Geodesy | 6 credits | 4G | |
| 103-0187-01 G | Space Geodesy | | 4 hrs | | B. Soja |
| 103-0251-00L | Computational Methods for Geospatial Analysis | 4 credits | 4G | |
| 103-0251-00 G | Computational Methods for Geospatial Analysis | | 4 hrs | | K. Schindler,
J. A. Butt,
B. Soja,
Y. Xin |
| 103-0817-00L | Geomatics Seminar | 4 credits | 2S | |
| 103-0817-00 S | Geomatics Seminar
Does not take place this semester.
Only for students in the old MSc curriculum. The credits cannot be counted for the new MSc curriculum (starting HS2022), where this course is superseded by the compulsory course "Geospatial Research Methods".
This course has been replaced by the course 103-0248-00 Geospatial Research Methods and will no longer be offered in the future. | | 2 hrs | by appt. | K. Schindler,
K. W. Axhausen,
A. Grêt-Regamey,
L. Hurni,
M. Raubal,
B. Soja,
A. Wieser |
