DAEN 430: Forecasting Using Machine-Learning Approaches

Course Description

Credits 3.
3 Lecture Hours.Forecasting principles and methods, including point and interval forecasts; accuracy; statistical methods in the context of forecasting, including exponential smoothing and Auto Regressive Integrated Moving Average (ARIMA), exogenous variables, seasonality and trends; tree-based models for predictions, prophet models, probabilistic forecasts and predictive and prescriptive analytics.Prerequisites:Grade of C or better inDAEN 321; junior or senior classification.