290088 UE Remote sensing and modelling in soil erosion and landslide research (2020W)
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 28.09.2020 12:00 to Sa 31.10.2020 23:59
- Deregistration possible until Sa 31.10.2020 23:59
Details
max. 20 participants
Language: English
Lecturers
- Ronald Pöppl
- Stefan Haselberger
- Sabine Kraushaar
- Nina Marlovits
- William Ries
- Elmar Schmaltz
- Margherita Johanna Stumvoll
Classes
Ab 3.11. finden bis auf Weiteres alle Termine online statt (siehe Moodle)
Donnerstag 12.11.20 13:00-16:00 Uhr MM-Lab Computerkartographie Geographie NIG 1.OG C110Donnerstag 19.11.20 13:00-16:00 Uhr MM-Lab Computerkartographie Geographie NIG 1.OG C110
Donnerstag 26.11.20 13:00-16:00 Uhr MM-Lab Computerkartographie Geographie NIG 1.OG C110
Donnerstag 03.12.20 13:00-16:00 Uhr MM-Lab Computerkartographie Geographie NIG 1.OG C110
Donnerstag 10.12.20 13:00-16:00 Uhr MM-Lab Computerkartographie Geographie NIG 1.OG C110
Donnerstag 17.12.20 13:00-16:00 Uhr MM-Lab Computerkartographie Geographie NIG 1.OG C110
Donnerstag 14.01.21 13:00-16:00 Uhr MM-Lab Computerkartographie Geographie NIG 1.OG C110
Donnerstag 21.01.21 13:00-16:00 Uhr MM-Lab Computerkartographie Geographie NIG 1.OG C110
Donnerstag 28.01.21 13:00-16:00 Uhr MM-Lab Computerkartographie Geographie NIG 1.OG C110Detailinformationen zum Raum:
https://uspace.univie.ac.at/web/gast/rauminfo/raumdetails/-/raumdetails/11548
Information
Aims, contents and method of the course
Aim/contents: To learn basic concepts standard remote sensing and modelling methods in the context of soil erosion and landslide research and managementMethods: Lecture, practical exercises, presentations
Assessment and permitted materials
Written tests, homework, presentations
Minimum requirements and assessment criteria
Partial requirements:
Written exams (30%), homework (60%), presentation (10%)
Written exams (30%), homework (60%), presentation (10%)
Examination topics
Lecture contents, practical exercises, presentation
Reading list
TBD
Association in the course directory
(MG-S1-PI) (MG-W1-PI)
Last modified: Mo 02.11.2020 12:50