Bachelor and L3 courses
Außerschulische Lernorte
Außerschulische Lernorte und Bildung für nachhaltige Entwicklung im Geographieunterricht
Linking LiDAR and Satellite Data
Handle up-to-date remote sensing data, make spatial predictions with machine learning, and become familiar with advanced remote sensing modelling in R
Medienkompetenz
Fachliche Bedeutung von Medien verstehen und professionelle Handlungskompetenz zum Medieneinsatz erwerben
Species Distribution Modelling
International course on species distribution modelling techniques
More courses in the bachelor programme “Geography” and in the L3 programme “Teacher of Geography for Grammar Schools” can be found here.
Master courses
Data Analysis
Use R for data analysis and visualization, handle geo-datasets, train models and estimate errors, and use GitHub for comprehensive documentation and task management
GeoAI
Understand spatial problems, apply remote sensing, and use AI to resiliently predict spatial patterns
Remote Sensing
Handle remote sensing information, define workflows, identify objects, and predict land cover in space
Upscaling biodiversity
Use upscaling methods and multi-sensor data for predicting biodiversity
Proximate sensing of biodiversity
Use sensor boxes to monitor biodiversity - chance and challenges (also open for BSc-students!)
More courses in the master programme “Geography” can be found here