Kurzkommentar |
The aim of this module is to learn and apply new concepts and methods of Applied Geoinformation Science. Basic knowledge in GIS and statistics is expected (e.g. similar to M5 in MA Human Geography or M1 in MSc Global Change Geography). In this course, methods of data assessment (survey, walking interviews), analysis (statistical, spatial, scenario-development), and visualization (web-based, critical cartography) are introduced first, then applied using hands-on examples and critically reflected. We will mainly use QGIS and Python(including an introduction to Python) in this course. We will apply research-focused teaching in this course and will closely aline the content of the course with ongoing research in the lab (e.g. invite external speakers, use research data). All students who want to explore the benefits and challenges of Applied Geoinformation Science techniques are very welcome. |