Learning goals
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After the completion of the course, students:

- have improved scientific skills in conceptualizing complex location-related problems in the society related to sustainability.
- can identify how the sustainability problems can be studied with geospatial data and computational approaches.
- have technical, hands-on competencies to identify, use, assess, process, and enrich geospatial data to study sustainability related topics.
- have competencies to identify, use and assess spatial data science methodologies in their analysis, and can apply them in practice to a range of sustainability related topics with Python programming language.
- can plan and manage team work over several weeks with their own sub goals, milestones and deliverables, and recognize the roles and responsibilities of members in a project team, linked with the team deliverables.
- can conduct reproducible and open science using computational notebooks and programming.
- can present their work to others, and peer-evaluate other students work.