Environmental History and the Human Factor This course examines the long-term relationships between human societies and their environments. It explores how climate, topography, water resources, vegetation, wildlife and other environmental conditions have influenced historical processes, while also considering the ways in which human activity has transformed landscapes over time. Case studies from different...

Natural Hazards This course explores the physical processes behind major natural hazards and their impacts on human societies and the environment. Topics include earthquakes, floods, landslides and other geophysical and environmental hazards, with attention to both historical events and contemporary risk. The course combines scientific understanding of hazardous processes with approaches to risk assessment,...

Spatial Big Data Analysis for Environmental Scenarios This course introduces advanced approaches for analyzing large and complex spatial datasets in environmental research. Students explore methods for integrating, processing, visualizing and interpreting spatial and spatiotemporal data using modern GIScience and data-analysis techniques. The course emphasizes practical applications and demonstrates...

Python for Beginners This introductory course provides a practical foundation in Python programming for students with little or no previous coding experience. Students learn how to set up a Python environment, work with variables and data structures, use conditions and loops, write functions and develop reusable scripts. The course emphasizes hands-on exercises and builds the programming skills required...

Spatial Python Programming This course builds on introductory Python skills and focuses on programming for spatial and spatiotemporal data analysis. Students work with common geospatial data structures and learn to process, analyze and automate geographic workflows using both commercial and open-source Python libraries. Practical exercises connect programming principles with GIScience applications,...

Advanced GIScience Modeling This course focuses on advanced methods for spatial analysis, geographic modeling and the implementation of GIScience workflows. Students learn to integrate diverse spatial datasets, apply analytical and modeling techniques and evaluate geographic patterns and processes using modern GIS technologies. The course combines theoretical foundations with hands-on applications,...