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.

ETW1010 - Data modelling and computing

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)

Dr Elsa Phung (First semester); Dr Santha Vaithilingam (Second semester)

Offered

Malaysia

First semester 2016 (Day)

Synopsis

Introduction to principles and techniques for modelling business and economic data.
Modelling in business and finance using computers -- spreadsheet modelling of business problems, organising and accessing data efficiently. Modelling in economics and finance -- multiple regression as a tool for modelling macroeconomic and microeconomic decisions, elasticities and statistical evaluation of policy, time series modelling with application to finance. Introduction to actuarial studies as an approach to building quantitative models of risk.

Outcomes

The learning goals associated with this unit are to:

apply principles and techniques of data management with computers and spreadsheet modelling to business and economic decision-making problems, including profit models, breakeven analysis, sensitivity analysis, simulation, optimisation under uncertainty and network models
interpret and evaluate relationships between variables for business and economic decision-making using multiple linear regression, including dummy variables, functional form, trends and seasonality in time series as well as inference, confidence intervals and prediction
apply statistical techniques for making decisions with quantitative and categorical data in business and economics, including testing hypotheses about population mean(s), population proportion(s), one- and two-way analysis of variance, and difference between proportions in contingency tables.

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.