BSAD 352 Business Forecasting
In this course, the students will learn the application of a variety of statistical techniques that are useful for preparing business forecasts for short term decision making and long-term planning. Forecasting business sales, inventories, and personnel requirements using different time-series techniques will be covered. These techniques include various exponential smoothing methods, moving average, regression analysis, classical time-series decomposition methods, and ARIMA (Box-Jenkins) models. How to build forecasting models, how to generate forecasts, and how to evaluate the reliability of the forecasts generated will also be covered. Computer applications are an integral component of the course.
PRQ: ECON 101/BSAD 502 (Introductory Microeconomics), Math 223/224(Elements of Statistics).
Meets: NO.
Scheduled: Spring, Yearly.
Cross Listed Courses
ECON 352
Attributes
- May be used for major requirement
- May be used for minor requirement