ETW3420 - Time series forecasting: Principles and practice

Overview

Obtaining reliable forecasts of business and economic variables is a challenging task that organisations face. With a focus on time series data, you will be introduced to forecasting methods commonly used in practice. These methods include the decomposition of time series, exponential smoothing, and ARIMA modelling. You can expect to … For more content click the Read More button below.

Offerings

S1-01-MALAYSIA-ON-CAMPUS

S2-01-MALAYSIA-ON-CAMPUS

Requisites

Prohibition

Prerequisite

Contacts

Chief Examiner(s)

Dr Nazirul Hazim

Learning outcomes

On successful completion of this unit, you should be able to:

develop business research reports to communicate insights/implications derived from forecasts

produce forecasting models from business and economic time series data

apply and analyse appropriate statistical methods for business and economic forecasting

demonstrate computer skills for predicting various business scenarios in forecasting.

Teaching approach

Active learning

Enquiry-based learning

Problem-based learning

Assessment summary

Assessment

1 - Within semester assessment

Scheduled and non-scheduled teaching activities

Tutorials

Workload requirements

Workload

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement activities.