This unit entry is for students who completed this unit in 2016 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

ETF2011 - Quantitative methods for risk analysis

6 points, SCA Band 2, 0.125 EFTSL

Undergraduate - Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

Faculty

Business and Economics

Organisational Unit

Department of Econometrics and Business Statistics

Coordinator(s)

Mr Bruce Stephens

Offered

Not offered in 2016

Synopsis

This unit presents the basis techniques of quantitative risk analysis. Risk identification and measurement techniques most commonly used in industry are discussed, including descriptive statistics. The basic rules of probability are presented in practical contexts and as the foundation for the study of probability distributions - themselves the foundations of risk analysis models. Finally, spreadsheet models of practical situations are developed and evaluated, using simulation methods.

Outcomes

The learning goals associated with this unit are to:

analyse risk statistically by summarising and interpreting data using techniques of descriptive statistics including the use of associated spreadsheet functions
analyse and evaluate risk by applying concepts of probability and of probability distributions
analyse and evaluate risk via Monte Carlo simulation, using @Risk software
evaluate decision-making strategies, including use of PrecisionTree software
describe and analyse the quality of production in an industrial process, using statistical control charts.

Assessment

Within semester assessment: 30%
Examination: 70%

Workload requirements

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.