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 first class will be in Hybrid mode, held in Seminar room 127 (3rd floor in Gusshaus) as well as over zoom. All remaining classes will be held online over ZOOM. The seminar room 127 is booked for the whole semester providing some space in case you need it for attending the online classes (50% capacity). The availability of this seminar room might change during the semester.

Oral exam (closed book)

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