Python is a widely used language for data analysis and visualisation, making it an indispensable tool for science and industry. Students will learn to use, adapt and write clean and reusable Python code from a variety of geoscience examples, working in small teams of two or three.

The students develop research projects on climate change adaptation in which they combine and apply quantitative and qualitative methods for data collection and analysis. The students identify political, economically and socially acceptable adaptation measures and thus also evaluate the social and ethical dimensions of climate risk analysis and adaptation.