Prerequisites: graduate standing; or consent of instructor
Description: Introduction to the spatial computing technologies and techniques. Covers the fundamentals, the present, and the emerging use cases of spatial data analysis systems. Topics include spatial data modelling, spatial relationships, storage, indexing, query processing, and recent trends in the field. Includes a research-oriented project and hands- on experience on spatial technologies.
Credit: May be taken Satisfactory (S) or No Credit (NC) with consent of instructor and graduate advisor.