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Subject: Economics (UG) (ECON)
CRN: 21270
Lecture
St Paul: O'Shaughnessy Education Center 449
Requirements Met:
School of Ed Transfer Course
Writing to learn
An introduction to techniques used in forecasting with emphasis on analyzing economic and business data. The emphasis is on timeseries data, although cross-sectional analysis is also covered. Techniques presented include variants of moving averages, variants of exponential smoothing, regression and ARIMA processes. Prerequisites: ECON 251, 252 and STAT 220 (QMCS 220 or IDTH 220)
4 Credits