Overview

Forecasts are crucial for guiding the planning and decision making process in business. In this unit you will learn to apply reliable methods for generating accurate forecasts in a rapidly changing business environment. These include: an introduction to regression modelling from a forecasting perspective, classical decomposition, exponential smoothing, Box-Jenkins ARIMA … For more content click the Read More button below.

Offerings

S1-01-CAULFIELD-ON-CAMPUS

Rules

Enrolment Rule

Contacts

Chief Examiner(s)

Professor George Athanasopoulos

Learning outcomes

On successful completion of this unit, you should be able to:
1.

develop statistical skills for analysing data in a business environment

2.

learn how to build accurate and robust models for forecasting

3.

acquire computer skills vital for forecasting business and economic data.

Teaching approach

Problem-based learning
Active learning
Case-based teaching

Assessment

1 - Within semester assessment
2 - Examination

Scheduled and non-scheduled teaching activities

Seminars
Tutorials
Workshops

Workload requirements

Workload

Learning resources

Technology resources

Other unit costs

Costs are indicative and subject to change.
Electronics, calculators and tools: $100