Temple University 3 credits GUS
In Big data era, knowledge and skills for collecting and analyzing big spatial data become an essential skill for spatial data scientists. This course will teach students the concepts, techniques, and analytical methods for big spatial data. Methods for storing, processing, analyzing, and visualizing various types of big spatial data using cloud computing and advanced Python programming will be taught in this course. Examples of real big spatial data applications will be introduced in this course in order for students to get the practical skills in handling big spatial data. The course is designed for students who have programming experience or have finished GUS 5031 (GIS Programming) previously and want to reinforce the programming skills and learn advanced computing skills for solving big geospatial data problems. This course includes lectures and lab exercises. The knowledge and skills learned in this course further prepare students for an emerging career of Spatial Data Science.
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