After successful completion of the course, students are able to...

• describe the phases for disaster management and apply relevant GIS functionalities
• carry out geosimulations
• analyse point patterns and integrate the results into decision-making processes
• describe multi-criteria decision analysis as well as to carry out a site selection using GIS functionalities
• list and explain common methods of machine learning and apply them to geodata
• describe and apply common methods of surface analysis
• describe concepts about smart cities and perform 3D city modelling using GIS functionalities

Explanation of concepts and practical exercises to understand these concepts for different applications:

• Geographic Information Systems and application areas
• Disaster Management 
• Geosimulations
• Geostatistics
• Machine Learning
• 3D City Modeling

The theoretical concepts are presented and discussed on the basis of slides and scientific literature. Practical tasks are carried out in the laboratory on the basis of these concepts.

The lectures and lab sessions will be held in presence. Upon prior notice, individual sessions can be held in distance learning mode if required by the circumstances.

Written exam (closed book)

Skills in GIS and Python will be very helpful, but not mandatory