Time Series

(3 Credit Hours) · Undergraduate

On successful completion of this module, students will be able to: LO1: Define and describe the different patterns that can be found in times series and propose algorithms and statistical models that are suitable for their analysis. LO2: Program, analyse and select the best model for forecasting. LO3: Interpret output of data analysis performed by a computer statistics package. LO4: Compute predictions with their confidence intervals using the selected model.