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BDA 762 - Analysis Techniques for Large-Scale Data-Spatial Statistical Techniques

Description
This course offers students the opportunity to use spatial statistical and some data mining techniques to analyze large-scale data. This includes graphing and summarizing spatial data, detecting for spatial relationship, estimating the spatial relationship and implementing spatial prediction. In addition to spatial techniques, students will also learn other computation methods for large-scale data such as Geographical Information Systems, Cluster Analysis and Factor Analysis. Direct applications of public sources of multiple large-scale data sets and geospatial data will be explored. Prerequisite:BDA 761. Enrollment Requirements: Pre-Requisite: BDA 761.
Credits
3
Recent Professors
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Recent Semesters
Fall 2020, Fall 2019, Fall 2018
Offered
F
Avg. Class Size
18
Avg. Sections
1