Course Title
Forecasting
Course Description
Survey of time-series forecasting methods used in business, including trends, exponential smoothing, decomposition, ARIMA, and neural nets. Econometric topics include seasonal binaries, autocorrelation, and lagged variables. Includes case studies and discussion of current economic conditions. Computer tools are used for individual and team projects.Prerequisite(s): QMM 2410 or with a minimum grade of (C) in each course.
Course Attributes
Upper Division Business (BUS)
Equivalent Courses
QMM452
College/School
School of Business Admin.