Konrad Schindler: Courses in Autumn Semester 2022

Name Prof. Dr. Konrad Schindler
FieldPhotogrammetry
Address
I. f. Geodäsie u. Photogrammetrie
ETH Zürich, HIL D 42.3
Stefano-Franscini-Platz 5
8093 Zürich
SWITZERLAND
Telephone+41 44 633 30 04
E-mailschindler@ethz.ch
URLhttps://igp.ethz.ch/personen/person-detail.html?persid=143986
DepartmentCivil, Environmental and Geomatic Engineering
RelationshipFull Professor

NumberTitleECTSHoursLecturers
101-0522-10LDoctoral Seminar Data Science and Machine Learning in Civil, Env. and Geospatial Engineering Restricted registration - show details
Number of participants limited to 21.
1 credit1S
101-0522-10 SDoctoral Seminar Data Science and Machine Learning in Civil, Env. and Geospatial Engineering Special students and auditors need a special permission from the lecturers.1 hrs
Wed/2w13:45-15:30HIL F 10.3 »
M. J. Van Strien, E. Chatzi, F. Corman, I. Hajnsek, M. A. Kraus, M. Lukovic, V. Ntertimanis, K. Schindler, B. Soja
101-0523-13LFrontiers in Machine Learning Applied to Civil, Env. and Geospatial Engineering (HS22) Restricted registration - show details 1 credit1G
101-0523-13 GFrontiers 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
Wed/2w13:45-15:30HIL F 10.3 »
M. J. Van Strien, E. Chatzi, F. Corman, I. Hajnsek, M. A. Kraus, M. Lukovic, V. Ntertimanis, K. Schindler, B. Soja
103-0251-00LComputational Methods for Geospatial Analysis4 credits4G
103-0251-00 GComputational Methods for Geospatial Analysis4 hrs
Wed13:45-15:30HIL E 7 »
Thu09:45-11:30HIL E 8 »
K. Schindler, J. A. Butt, B. Soja, Y. Xin
103-0287-00LImage-based Mapping6 credits2G
103-0287-00 GImage-based Mapping
Remark: : Successor course of former course “Image Interpretation”.
2 hrs
Tue13:45-15:30HIL F 10.3 »
Fri09:45-11:30HIL D 53 »
K. Schindler
103-0817-00LGeomatics Seminar Restricted registration - show details 4 credits2S
103-0817-00 SGeomatics Seminar Special students and auditors need a special permission from the lecturers.
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 The credits cannot be counted for the new MSc curriculum (starting HS2022), where this course is superseded by the compulsory course "Geospatial Research Methods".
This course has been replaced by the course 103-0248-00 Geospatial Research Methods and will no longer be offered in the future.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 hrsby appt.K. Schindler, K. W. Axhausen, A. Grêt-Regamey, L. Hurni, M. Raubal, B. Soja, A. Wieser
103-0849-AALMultivariate Statistics and Machine Learning
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
4 credits9R
103-0849-AA RMultivariate Statistics and Machine Learning
Self-study course. No presence required.
120s hrsK. Schindler