MBA 7720 Forecasting for Business Analytics

This course explores how to choose an appropriate time series forecasting method, fit the model, evaluate its performance, and use it for forecasting.  Topics that will be covered include: regression models, smoothing methods including Moving Average (MA) and Exponential Smoothing, and Autoregressive (AR) models, model enhancements such as second-layer models and ensembles, and various issues encountered in practice.  This course will emphasize using Excel for building and implementing forecasting models.