BAAS - 320. Time Series Analysis

3 credit(s)
Time series data occur when describing trends or when tracking internal organizational practices which may have internal structures such as autocorrelation, seasonal variation, and cyclical trends. Techniques for exploring this type of data include regression, autoregressive modeling, random walks, smoothing and decomposition on time series, and qualitative techniques.

Prerequisite(s): ATDV 110 or BAAS 200 or MATH 275 or MATH 470 or QBUS 200.
Equivalent: QBUS 320.
Attribute: BUS

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