| Description
| Analyzing time-oriented data and forecasting future values of a time series are among the most important problems that analysts face in many fields, ranging from finance and economics to managing production operations, to the analysis of political and social policy sessions, to investigating the impact of humans and the policy decisions that they make on the environment. This course is specially designed for graduate students who are focused on a few specific forecasting techniques. This course will address time series modeling, regression analysis, exponential smoothing methods, autoregressive integrated moving average models, transfer functions and intervention models, and other related forecasting topics.
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