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2015-2016 University Catalog
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OR 568 - Applied Predictive AnalyticsCredits: 3
Not Repeatable
Introduces predictive analytics with applications in engineering, business, and econometrics. Topics include time series and cross-sectional data processing, correlation, linear and multiple regressions, time series decomposition, predictive modeling and case study. Provides a foundation of basic theory and methodology with applied examples to analyze large engineering and econometric data for predictive decision making. Hand-on experiments with R will be emphasized.
Equivalent to SYST 568.
Prerequisite(s): STAT 515 or Graduate Standing at the MSOR or MSSE programs.
Hours of Lecture or Seminar per week: 3
Hours of Lab or Studio per week: 0
When Offered: Spring
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