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

• Describe data models
• Analyze spatial data
• Apply spatial algorithms
• Store spatial data in databases
• Create database queries
• Automate database queries using Python

Explanation of concepts and practical exercises to understand these concepts:

• Data analysis
• Databases
• Python for Geospatial Queries
• Spatial Queries

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.

- Weekly mini quizzes. At least 50% of the points must be achieved

- Written exam  (closed book). At least 50% of the points must be achieved

Grade: 20% miniquizzes + 80% written exam