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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.

Geo Data Science (6 CP)
Lectures
Geo Data Science  VL 3633 L 9072 UE 3633 L 9073 [1]
Module type
Compulsory elective
Person
in charge
Prof. Dr.-Ing. Martin Kada [2]
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

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