Konrad Schindler: Courses in Autumn Semester 2021

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 credit2S
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.
Does not take place this semester.
2 hrsB. Soja, E. Chatzi, F. Corman, O. Fink, I. Hajnsek, K. Schindler
101-0523-12LFrontiers in Machine Learning Applied to Civil, Env. and Geospatial Engineering (HS21) Restricted registration - show details
Number of participants limited to 21.
1 credit2S
101-0523-12 SFrontiers in Machine Learning Applied to Civil, Env. and Geospatial Engineering (HS21) Special students and auditors need a special permission from the lecturers.
Starting time: 13:45.
2 hrs
Wed/2w14:00-16:00ON LI NE »
M. A. Kraus, E. Chatzi, F. Corman, O. Fink, I. Hajnsek, M. Lukovic, K. Schindler, B. Soja, B. Sudret, M. J. Van Strien
103-0254-AALPhotogrammetry
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.
6 credits13R
103-0254-AA RPhotogrammetry
Self-study course. No presence required.
180s hrsK. Schindler
103-0287-00LImage Interpretation4 credits3G
103-0287-00 GImage Interpretation3 hrs
Thu08:50-11:30HIL 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.2 hrs
Mon08:00-09:35HIL D 53 »
K. Schindler, K. W. Axhausen, A. Grêt-Regamey, L. Hurni, W. Kuhn, M. Rothacher, 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