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ECON 472

ECON 472Time Series Analysis and Forecasting3 credits
Econ 210 or Mathematics 301 with a grade of C or better
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: Economics 210 or Math 301, with a grade of C or better. Business majors;Admitted Business majors; Admitted Econ Bus majors, Econ COLS majors & minors. All other students can take up to 21 credits of 300/400 level College of Business department courses, provided they have completed 60 credits with a combined GPA of 2.5.
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