Aims and Fit of Module

This module aims to introduce to students with basic time series models, including ARIMA and GARCH. This module will also train students to do model building from model specification, parameter estimation to diagnostic and forecasting. This data analysis techniques will be crucial for statistics application.

Learning outcomes

A	Demonstrate an understanding of concepts of time series modelB	Acquire an in-depth knowledge of the statistical theories of basic time series model such as ARIMA
C	Demonstrate an in-depth understanding of the procedures of model building
D	Demonstrate an understanding of the seasonal model
E	Detect and handle heteroscedasticity in modelling

Method of teaching and learning

This module is typically organised as a combination of formal lectures and tutorial classes. Students are also expected to devote sufficient unsupervised time to study.