ECON 472: Time Series Analysis and Forecasting

Course Description

This class introduces a variety of methods to analyze time-series data and generate statistical forecasts. Analytical techniques such as seasonal and weighted averaging, exponential smoothing and auto-regressive moving averages will be studied. Students will work with computer software applications of real world economic and business problems to aid in development of decision-making skills. Prerequisites: (ECON 210 or Math 301, with a grade of C or better) AND EITHER (Admitted Business majors; Admitted Econ Bus majors, Econ COLS majors & minors) OR (30 credits with no more than 21 credits of 300/400 level College of Business courses and 2.5 GPA) Special fees may apply.