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Please note - Swinburne University of Technology

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84223 Business Demography<br />

No. <strong>of</strong> hours per week: three hours<br />

Prerequisite: BQ111 Quantitative Analysis B<br />

(BQI 11 E + BQI 10) Quantitative Analpis A<br />

Instruction: one class, one laboratory<br />

Assessment: individual and syndicate assignments<br />

Subject aims and description<br />

A substantial number <strong>of</strong> business problems are related to<br />

changes in the population and therefore an understanding<br />

<strong>of</strong> demography is required to unde~tand business markets.<br />

Th~s unit consists <strong>of</strong> an introduction to the basic methods <strong>of</strong><br />

demographic analysis for human populations, enterprises and<br />

industries. The aim <strong>of</strong> the unit is to explore the market<br />

impljcations <strong>of</strong> demographic change. The approach taken in<br />

this unit is a practical one and therefore considerable use<br />

will be made <strong>of</strong> PC-based business modelling s<strong>of</strong>tware<br />

packages.<br />

The unit will normally consist <strong>of</strong>:<br />

sources <strong>of</strong> demographic data;<br />

measuring demographic phenomenon; fertility; mortality;<br />

internal and international migration;<br />

population estimates and projections;<br />

cohort analysis;<br />

demographics <strong>of</strong> enterprises and industries: labour force;<br />

skills; markets;<br />

international demographic trends.<br />

Textbook<br />

Pollard, A.H., Yusuf, F. and Pollard, G.N. Demographic Techniques.<br />

3rd ed, krgamon Press, 1990<br />

References<br />

Day, L. and Rowland, D. How Many More Australians? Melbourne:<br />

n Longman Cheshire, 1988<br />

C Mahar, C. and Burke, T, Informed Decision Making. Melbourne:<br />

Longman Cheshire, 1991<br />

National Population Council. fbpulation lrsues and Austmlia's Future.<br />

Canberra: AGPS. 1992<br />

VI -.<br />

3<br />

BQ330 Market Modelling<br />

No. <strong>of</strong> hours per week: three hours<br />

Prerequisite: BQI 11 Quantitative Analysis B<br />

(BQI IOE + BQ111) Quantitatiw Analysis A<br />

Instruction: lecture/tutorial<br />

Assessment: individual and syndicate assignment<br />

Subject aims and description<br />

This unit aims to familiarise students with some <strong>of</strong> the<br />

techniques and skills not yet encountered, but needed to<br />

undertake the successful modelling <strong>of</strong> micro and macro<br />

markets and business relationships.<br />

The unit will normally cover the use <strong>of</strong>:<br />

regression analysis, in its various forms, to asist the<br />

modelling <strong>of</strong> demand and supply and other business<br />

relationships;<br />

qualitative forecasting methods such as delphi, panel<br />

consensus and scenario analysis;<br />

Markw analysis for the investigation <strong>of</strong> market behwiour<br />

(e.g. brand switching) and for the analysis <strong>of</strong> market<br />

share.<br />

Textbook<br />

Makridakis, 5.. Wheelwright, S.C. and McGee, V.E. Forecasting<br />

Methods for Management. 4th ed, Wiley, 1985<br />

References<br />

Bartholomew, D.J. Stochastic Models t%r Social Processes. 3rd ed,<br />

Brisbane; Wiley, 1982<br />

Jarrett, J. Business Fomasting Methods. 2nd ed, Oxford: Blackwell,<br />

1991<br />

84331 Survey Research Methods<br />

No. <strong>of</strong> hours per week: three hours<br />

Prerequisite; BQ22l Marketing Data Management<br />

Instruction: one three-hour lecturellaboratory<br />

Assessment: six survey research tasks, one<br />

individual assignment<br />

Subject aims and description<br />

This unit is concerned with a detailed examination <strong>of</strong> three<br />

aspects <strong>of</strong> survey research methodology; computer s<strong>of</strong>tware<br />

used in the data collection, data entry and tabulation <strong>of</strong><br />

marketing and sound research data collections: sample<br />

designs for mail, personal interview and telephone surveys;<br />

the analysis <strong>of</strong> sun/ey data with a particular emphasis on the<br />

measurement <strong>of</strong> attitudes and opinions.<br />

S<strong>of</strong>tware: Microtab - an integrated computer assisted<br />

telephone interviewing system with data entry, coding and<br />

data analysis functionality. SPSS for Windows.<br />

References<br />

Alreck, P.L. and Settle, R.B. The Sui-vey Research Handbook. Irwin,<br />

1985<br />

Henry, G.T. Practical Sampling, Applied Social Resea~h Methods<br />

Series Vol. 21, Sage Publications, 1990<br />

84400 Business Modelling Honours<br />

Students should seek advice from the appropriate Business<br />

Modelling staff when formulating their discipline-specific<br />

course <strong>of</strong> study and their research project proposal.<br />

To encourage a multi-discipline approach, students may,<br />

subject to approval, undertake selected honours-led<br />

coursework units from other departments, faculties, or<br />

institutions provided that they show the relevance <strong>of</strong> these<br />

coursework units to their proposed area <strong>of</strong> research. Such<br />

arrangements are subject to the student having any<br />

necessary prerequisite studies and may be subject to any<br />

quotas imposed on these units by the <strong>of</strong>fering department.<br />

Students must submit their proposal to the Business<br />

Modelling Honours Convenor for approval prior to the<br />

commencement <strong>of</strong> their honours program. Approval for a<br />

student's discipline-specific course <strong>of</strong> study and research<br />

project proposal shall be subject to the availability <strong>of</strong> any<br />

necessary resources and the availability <strong>of</strong> appropriate staff<br />

supervision.<br />

Advanced Business Modelling Techniques<br />

Students will be required to investigate advanced theoretical<br />

business modelling techniques which support their research<br />

project proposal. In particular, students will be expected to<br />

demonstrate their understanding <strong>of</strong> these techniques by<br />

applying them to one or more business modelling case<br />

studies and presenting their findings via participation in a<br />

seminar program. Students may also be required to analyse<br />

specific business case studies, consult textbooks, periodicals<br />

and conference proceedings and inwstigate the use <strong>of</strong><br />

computer s<strong>of</strong>tware packages as part <strong>of</strong> this unit.<br />

Business Modelling Honours Research Project<br />

Students will be required to undertake a substantial research<br />

project utilising business modelling techniques within their<br />

chosen area <strong>of</strong> speciality. The research project may involve<br />

the collection and analysis <strong>of</strong> data, an extension <strong>of</strong> the<br />

student's theoretical knowledge, the use <strong>of</strong> existing<br />

computer s<strong>of</strong>tware packages or the production <strong>of</strong> computer<br />

s<strong>of</strong>tware via programming. Students will be expected to<br />

report their research activity in the form <strong>of</strong> a written<br />

dissertation <strong>of</strong> approximately 15,000 words in length and<br />

will be required to progressiwly present their findings as<br />

part <strong>of</strong> a research seminar program.<br />

Students intending to complete their degree with honours

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