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| 09/09 - 12/22 | ||||||
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3:25 pm |
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Subject: Economics (UG) (ECON)
CRN: 45121
Online: Sync Distributed | Lecture
Online
Requirements Met:
School of Ed Transfer Course
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