CSC 405 - Geospatial Applications of Data Analytics
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
This course provides students with the practical knowledge of methods for analyzing geospatial data, which in the age of big data is produced with increasingly high variety, volume and velocity. This course will cover applications of data analytic techniques to geospatial applications such as remote sensing; networking and computing models such as virtualization and cloud computing, structured and unstructured geospatial data, machine learning algorithms for clustering and classification of data, discovery of patterns through data mining, and visualization of geospatial data. The course will also cover concepts of spatial data mining to learn about techniques to find spatial patterns.
Prerequisite: CSC 130 or equivalent programming course or higher
Corequisite: CSC 305
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