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Geo Data Science
Students have a profound understanding of the scientific fields of data science, big data and machine learning in general and applied to geographical data. They have acquired theoretical and practical knowledge in geo data management, manipulation, and visualization as well as familiarity with big data technologies. Students understand the mathematical background, the working principles, and applications of machine learning algorithms. They are able to transfer real-world problems from the geo-sciences into machine learning models, find and develop solution strategies, and implement them programmatically using Python in conjunction with the respective standard software libraries.
Lectures | Geo Data Science VL 3633 L 9072 UE 3633 L 9073 |
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Module type | Compulsory elective |
Person in charge | Prof. Dr.-Ing. Martin Kada |
Entry requirements | Computer literacy |
Duration | 1 semester |
Examination | Oral exam |
Workload | Overall attendance: 15 x 2 h = 30 h Preparation and post processing: 15 x 4 h = 60 h |