2015-2016 University Catalog 
  
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2015-2016 University Catalog

SYST 468 - Applied Predictive Analytics

Credits: 3
Limited to 2 Attempts
This course introduces the basic predictive analytics with applications in financial engineering, econometrics, business development, and risk analysis. Topics include financial transactions and econometric data management, correlation, linear and multiple regressions for financial and economic predictions stochastic dynamic models and time series analysis. Course will provide a foundation of basic theory and methodology as well as applied examples with techniques to analyzing large financial, business, and econometric data for forecasting. Hands-on experiments with R will be emphasized throughout the course.

Prerequisite(s): Grade of C or better in SYST 330, Grade of C or better in STAT 344. Prerequisite enforced by registration system.

Corequisite(s): STAT 354.

Hours of Lecture or Seminar per week: 3
Hours of Lab or Studio per week: 0
When Offered: Spring