ETC1010 - Data modelling and computing

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

Offered

Clayton First semester 2007 (Day)
Clayton Second semester 2007 (Day)

Synopsis

Introduction to the principles and techniques of data management with computers - spreadsheet modelling of business problems, organising and accessing data efficiently. An overview of statistical techniques for making decisions with data - hypothesis testing with quantitative and categorical data. Introduction to methods for modelling data relationships - simple and multiple regression, analysis of variance; principles of risk analysis - building quantitative models of risk.

Objectives

The learning objectives of 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

Written assignments - computing and report: 30%
Examination (2 hours): 70%

Contact hours

Two 1-hour lectures and a 1.5 hour tutorial each week

Co-requisites

ETC1000