Martin Raubal: Courses in Autumn Semester 2020

Name Prof. Dr. Martin Raubal
FieldGeoinformation Engineering
Address
Inst. f. Kartografie u. Geoinform.
ETH Zürich, HIL G 37.3
Stefano-Franscini-Platz 5
8093 Zürich
SWITZERLAND
Telephone+41 44 633 30 26
E-mailmraubal@ethz.ch
URLhttp://www.raubal.ethz.ch/
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.2 hrs
Wed/114:00-16:00ON LI NE »
K. Schindler, E. Chatzi, F. Corman, O. Fink, I. Hajnsek, M. A. Kraus, M. Lukovic, M. Raubal, B. Soja, B. Sudret
101-0523-10LFrontiers in Machine Learning Applied to Civil, Env. and Geospatial Engineering Restricted registration - show details
Number of participants limited to 21.
1 credit2S
101-0523-10 SFrontiers in Machine Learning Applied to Civil, Env. and Geospatial Engineering Special students and auditors need a special permission from the lecturers.2 hrs
Wed/214:00-16:00ON LI NE »
O. Fink, E. Chatzi, F. Corman, I. Hajnsek, M. A. Kraus, M. Lukovic, M. Raubal, K. Schindler, B. Soja, B. Sudret
103-0233-10LFundamentals of GIS6 credits5G
103-0233-10 GGIS GZ
Vorlesung: Mo 10-12
Übungen: Do 8-11
5 hrs
Mon10:00-12:00ON LI NE »
Thu08:00-11:00ON LI NE »
M. Raubal
103-0234-AALGIS II
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.
5 credits11R
103-0234-AA RGIS II
Self-study course. No presence required.
150s hrsM. Raubal
103-0237-00LGIS III5 credits3G
103-0237-00 GGIS III
Hinweis: 05.11., 19.11., 26.11., 03.12. und 17.12.2020 Übungen gemäss Angaben Dozent. Am 12.11.2020 sowohl Online-Vorlesung als auch Übungen.
3 hrs
Thu13:45-16:30HIL D 53 »
05.11.13:45-16:30HIL E 15.2 »
19.11.13:45-16:30HIL E 15.2 »
26.11.13:45-16:30HIL E 15.2 »
03.12.13:45-16:30HIL E 15.2 »
17.12.13:45-16:30HIL E 15.2 »
M. Raubal
103-0255-AALGeodata Analysis
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.
2 credits4R
103-0255-AA RGeodata Analysis
Self-study course. No presence required.
60s hrsM. Raubal
103-0717-AALGeoinformation Technologies and Analysis
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
103-0717-AA RGeoinformation Technologies and Analysis
Self-study course. No presence required.
180s hrsM. Raubal
103-0717-00LGeoinformation Technologies and Analysis6 credits5G
103-0717-00 GGeoinformationstechnologien und -analysen
Hinweis: Übungen am 11.11., 02.12., 09.12. und 16.12.2020 gemäss Angaben Dozent (mit Remote-Zugriff auf HIL E15.2 PCs).
5 hrs
Tue10:00-13:00ON LI NE »
Wed10:00-12:00ON LI NE »
M. Raubal
103-0778-00LGIS and Geoinformatics Lab4 credits3P
103-0778-00 PGIS and Geoinformatics Lab3 hrs
Tue13:45-16:30HIL D 54.1 »
M. Raubal
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
Mon08:00-10:00ON LI NE »
M. Raubal, A. Grêt-Regamey, L. Hurni, M. Rothacher, K. Schindler, A. Wieser
103-2233-AALGIS Basics
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
103-2233-AA RGIS Basics
Self-study course. No presence required.
180s hrsM. Raubal
166-0201-00LPotential of Spatial Information- and Communication Technologies Restricted registration - show details
Only for MAS in Future Transport Systems and CAS in Future Transport Systems: Technology Potential.
3.5 credits3G
166-0201-00 GPotenziale räumlicher Informations- und Kommunikationstechnologien Special students and auditors need a special permission from the lecturers.
Does not take place this semester.
Blockkurs (Ort: LEO C12 oder Hönggerberg)
36s hrsM. Raubal