Martin Raubal: Courses in Autumn Semester 2020 |
Name | Prof. Dr. Martin Raubal |
Field | Geoinformation 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 |
mraubal@ethz.ch | |
URL | http://www.raubal.ethz.ch/ |
Department | Civil, Environmental and Geomatic Engineering |
Relationship | Full Professor |
Number | Title | ECTS | Hours | Lecturers | |||||||||||||||||||
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101-0522-10L | Doctoral Seminar Data Science and Machine Learning in Civil, Env. and Geospatial Engineering Number of participants limited to 21. | 1 credit | 2S | ||||||||||||||||||||
101-0522-10 S | Doctoral Seminar Data Science and Machine Learning in Civil, Env. and Geospatial Engineering | 2 hrs |
| K. Schindler, E. Chatzi, F. Corman, O. Fink, I. Hajnsek, M. A. Kraus, M. Lukovic, M. Raubal, B. Soja, B. Sudret | |||||||||||||||||||
101-0523-10L | Frontiers in Machine Learning Applied to Civil, Env. and Geospatial Engineering Number of participants limited to 21. | 1 credit | 2S | ||||||||||||||||||||
101-0523-10 S | Frontiers in Machine Learning Applied to Civil, Env. and Geospatial Engineering | 2 hrs |
| O. Fink, E. Chatzi, F. Corman, I. Hajnsek, M. A. Kraus, M. Lukovic, M. Raubal, K. Schindler, B. Soja, B. Sudret | |||||||||||||||||||
103-0233-10L | Fundamentals of GIS | 6 credits | 5G | ||||||||||||||||||||
103-0233-10 G | GIS GZ Vorlesung: Mo 10-12 Übungen: Do 8-11 | 5 hrs |
| M. Raubal | |||||||||||||||||||
103-0234-AAL | GIS 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 credits | 11R | ||||||||||||||||||||
103-0234-AA R | GIS II Self-study course. No presence required. | 150s hrs | M. Raubal | ||||||||||||||||||||
103-0237-00L | GIS III | 5 credits | 3G | ||||||||||||||||||||
103-0237-00 G | GIS 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 |
| M. Raubal | |||||||||||||||||||
103-0255-AAL | Geodata 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 credits | 4R | ||||||||||||||||||||
103-0255-AA R | Geodata Analysis Self-study course. No presence required. | 60s hrs | M. Raubal | ||||||||||||||||||||
103-0717-AAL | Geoinformation 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 credits | 13R | ||||||||||||||||||||
103-0717-AA R | Geoinformation Technologies and Analysis Self-study course. No presence required. | 180s hrs | M. Raubal | ||||||||||||||||||||
103-0717-00L | Geoinformation Technologies and Analysis | 6 credits | 5G | ||||||||||||||||||||
103-0717-00 G | Geoinformationstechnologien 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 |
| M. Raubal | |||||||||||||||||||
103-0778-00L | GIS and Geoinformatics Lab | 4 credits | 3P | ||||||||||||||||||||
103-0778-00 P | GIS and Geoinformatics Lab | 3 hrs |
| M. Raubal | |||||||||||||||||||
103-0817-00L | Geomatics Seminar | 4 credits | 2S | ||||||||||||||||||||
103-0817-00 S | Geomatics Seminar | 2 hrs |
| M. Raubal, A. Grêt-Regamey, L. Hurni, M. Rothacher, K. Schindler, A. Wieser | |||||||||||||||||||
103-2233-AAL | GIS 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 credits | 13R | ||||||||||||||||||||
103-2233-AA R | GIS Basics Self-study course. No presence required. | 180s hrs | M. Raubal | ||||||||||||||||||||
166-0201-00L | Potential of Spatial Information- and Communication Technologies Only for MAS in Future Transport Systems and CAS in Future Transport Systems: Technology Potential. | 3.5 credits | 3G | ||||||||||||||||||||
166-0201-00 G | Potenziale räumlicher Informations- und Kommunikationstechnologien
Does not take place this semester. Blockkurs (Ort: LEO C12 oder Hönggerberg) | 36s hrs | M. Raubal |