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George Mason University

2016-2017 University Catalog

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2016-2017 University Catalog

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SYST 568 - Applied Predictive Analytics

Credits: 3
Not Repeatable for Credit
Offered by Systems Engineering and Operations Research

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; SYST 538 (2014-2015 Catalog).

Prerequisite(s): STAT 515 or Graduate Standing at the MSOR or MSSE programs.
Schedule Type: LEC
Hours of Lecture or Seminar per week: 3
Hours of Lab or Studio per week: 0
When Offered: Spring

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SYST 568 - Applied Predictive Analytics