Please note - Swinburne University of Technology
Please note - Swinburne University of Technology
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