Analysis Techniques for Large-Scale Data-Spatial Statistical Techniques
Download as PDF
Overview
Subject area
BDA
Catalog Number
762
Course Title
Analysis Techniques for Large-Scale Data-Spatial Statistical Techniques
Department(s)
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.
Typically Offered
Fall, Spring
Academic Career
Graduate
Liberal Arts
No
Credits
Minimum Units
3
Maximum Units
3
Academic Progress Units
3
Repeat For Credit
No
Components
Name
Lecture
Hours
3
Requisites
024604