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The lectures and computer lab exercises introduce concepts, theories and applications of geospatial data, analysis and modeling in GIS and Remote Sensing. The techniques taught enable students in a studio setting with self-defined projects to not only enhance analyzing, assessing and modeling of geospatial and temporal physical and non-physical processes in landscapes, but also learn how to design, collect and manage GIS projects in general. The lectures, labs and projects include stakeholder interaction providing potential project datasets, real life challenges and feedback targeted for students in Geography, Data Science, Engineering, Planning, Geology, Environmental Science, Ecology, Economics and Health Sciences.
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