ETC9010 - Data modelling and computing

Leader: Dr Lee Gordon-Brown, Associate Professor Mark Harris, Associate Professor Paul Lajbcygier

Offered

Clayton First semester 2008 (Day)
Clayton Second semester 2008 (Day)

Synopsis

As for ETC1010

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 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 simple and 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 (2 hours): 70%

Contact hours

Two 1-hour lectures and one 2-hour tutorial per week

Prerequisites

ETC9000