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01/04 - 01/28 | ||||||
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Subject: Economics (UG) (ECON)
CRN: 10468
Online: Sync Distributed | Online: Synchronous
Online
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 and 252 and a grade of C- or higher in STAT 220, MATH 303, or STAT 314.
4 Credits