Konrad Schindler: Lehrveranstaltungen im Herbstsemester 2022 |
Name | Herr Prof. Dr. Konrad Schindler |
Lehrgebiet | Photogrammetrie |
Adresse | I. f. Geodäsie u. Photogrammetrie ETH Zürich, HIL D 42.3 Stefano-Franscini-Platz 5 8093 Zürich SWITZERLAND |
Telefon | +41 44 633 30 04 |
schindler@ethz.ch | |
URL | https://igp.ethz.ch/personen/person-detail.html?persid=143986 |
Departement | Bau, Umwelt und Geomatik |
Beziehung | Ordentlicher Professor |
Nummer | Titel | ECTS | Umfang | Dozierende | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|
101-0522-10L | Doctoral Seminar Data Science and Machine Learning in Civil, Env. and Geospatial Engineering ![]() Number of participants limited to 21. | 1 KP | 1S | ||||||||
101-0522-10 S | Doctoral Seminar Data Science and Machine Learning in Civil, Env. and Geospatial Engineering
![]() | 1 Std. |
| 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 KP | 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 Std. |
| M. J. Van Strien, E. Chatzi, F. Corman, I. Hajnsek, M. A. Kraus, M. Lukovic, V. Ntertimanis, K. Schindler, B. Soja | |||||||
103-0251-00L | Computational Methods for Geospatial Analysis | 4 KP | 4G | ||||||||
103-0251-00 G | Computational Methods for Geospatial Analysis | 4 Std. |
| K. Schindler, J. A. Butt, B. Soja, Y. Xin | |||||||
103-0287-00L | Image-based Mapping | 6 KP | 2G | ||||||||
103-0287-00 G | Image-based Mapping Remark: : Successor course of former course “Image Interpretation”. | 2 Std. |
| K. Schindler | |||||||
103-0817-00L | Geomatics Seminar ![]() | 4 KP | 2S | ||||||||
103-0817-00 S | Geomatics Seminar
![]() Findet dieses Semester nicht statt. 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 The credits cannot be counted for the new MSc curriculum (starting HS2022), where this course is superseded by the compulsory course "Geospatial Research Methods". This course has been replaced by the course 103-0248-00 Geospatial Research Methods and will no longer be offered in the future.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 Std. | n. V. | K. Schindler, K. W. Axhausen, A. Grêt-Regamey, L. Hurni, M. Raubal, B. Soja, A. Wieser | |||||||
103-0849-AAL | Multivariate Statistics and Machine Learning Belegung ist NUR erlaubt für MSc Studierende, die diese Lerneinheit als Auflagenfach verfügt haben. Alle andere Studierenden (u.a. auch Mobilitätsstudierende, Doktorierende) können diese Lerneinheit NICHT belegen. | 4 KP | 9R | ||||||||
103-0849-AA R | Multivariate Statistics and Machine Learning Self-study course. No presence required. | 120s Std. | K. Schindler |