ETC5550 - Applied forecasting - Monash University

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Overview

Reliable forecasts of business and economic variables must often be obtained against a backdrop of structural change in markets and the economy. This unit introduces methods suitable for forecasting in these circumstances including the decomposition of time series, exponential smoothing methods, ARIMA modelling, and regression with autocorrelated disturbances. Students can … For more content click the Read More button below.

Reliable forecasts of business and economic variables must often be obtained against a backdrop of structural change in markets and the economy. This unit introduces methods suitable for forecasting in these circumstances including the decomposition of time series, exponential smoothing methods, ARIMA modelling, and regression with autocorrelated disturbances. Students can expect to enhance their computer skills with exercises using R.

Offerings

S1-01-CLAYTON-ON-CAMPUS

Requisites

Prerequisite

Prohibition

Contacts

Chief Examiner(s)

Professor Rob Hyndman

Assessment summary

Within semester assessment: 100%

This unit contains a hurdle requirement that you must achieve to be able to pass the unit. The consequence of not achieving a hurdle requirement is a fail grade (NH) and a maximum mark of 45 for the unit.

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. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.