Volgenau School of Engineering
George Mason University
George Mason University Mason
George Mason University

SYST 468: Applied Predictive Analytics

Course Information from University Catalog

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.

When Offered: Spring

Corequisite(s): STAT 354.

Hours of Lecture or Seminar per week: 3

Credits: 3

Prerequisites:

Grade of C or better in SYST 330, Grade of C or better in STAT 344.

1 Course Sections Scheduled for Spring 2018