Course No:           Act 631

Course Name:      Time Series Analysis & Forecasting - 1

Course Description:      

Time Series Concepts (Stochastic Processes, Mean & Covariance functions, Parsimony, Stationary. Importance of Good Forecasts. Classification of Forecast Method. Framework of a Forecast. Regression and Application in forecasting. Regression and Exponential Smoothing Methods to Forecast. Modeling seasonality with Trigonometric Functions. Introduction to Stochastic Time Series Models, especially ARMA, ARIMA models, Some Econometric models of Time Series.

Course Review:

The course focuses on Time Series concepts (stochastic process, mean and covariance functions, parsimony, stationarity). Importance of good forecast, classification of forecast method, framework of a forecast, forecast criteria, regression and application in forecasting, regression and exponential smoothing methods to forecast, modeling seasonality with trigonometric functions, introduction to stochastic time series models (ARMA, ARIMA models) and some econometric models of time series.