IST 764 - Space-time Data Science & Analytics

[3 credit(s)]

Prerequisite: None. This course introduces data science analytics tools and techniques for geographic data (e.g., maps, geosensors, satellite and GPS location data). A comprehensive coverage of the issues with handling space-time data from the perspective of DBMS, GIS, Data Analytics, and Big Data Systems. Students will learn spatial database concepts, algorithm, statistical tools to model and analyze problems by hands-on approach using programming languages. Cover spatial and temporal data representation, exploratory analysis, and prediction models. Also, introduces software to perform geographic query, analysis, visualization and custom application development for decision support. Emphasizes issues related to spatial data mining, integration of machine learning techniques in spatio-temporal analysis and prediction.

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