ETC1010 - Data modelling and computing
6 points, SCA Band 0 (NATIONAL PRIORITY), 0.125 EFTSL
Undergraduate Faculty of Business and Economics
Leader(s): Dr Lee Gordon-Brown; Dr Phillip Edwards; Associate Professor Mark Harris; Professor Brett Inder
Offered
Clayton First semester 2009 (Day)
Clayton Second semester 2009 (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.
Objectives
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
- interpret and evaluate relationships between variables using simple and multiple linear regression
- apply statistical techniques for making decisions with quantitative and categorical data in business and economics.
Assessment
Within semester assessment: 30%
Examination (2 hours): 70%
Contact hours
Two 1-hour lectures and one 1.5 hour tutorial per week