Course Detail
Course Components:
This course covers the fundamental concepts and principles in spatial data science. Students learn how to solve real-world urban problems through individual assignments and group projects. Hands-on experience will be gained through processing and manipulating spatial data using R programming language and open-source software, such as QGIS and GeoDa, as well as application of advanced spatial data science techniques, including spatial big data processing, spatial statistics, and satellite remote sensing. Students are recommended to have a basic understanding of GIS and R programming language. CMP6450 or equivalent is recommended as a prerequisite to this course.