Please note - Swinburne University of Technology
Please note - Swinburne University of Technology
Please note - Swinburne University of Technology
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eqsoo<br />
Research Methodology<br />
No. <strong>of</strong> hours per week: two hours<br />
Prerequisites: nil<br />
Instruction: lecturellaboratory<br />
Assessment: individual and syndicate<br />
assignments<br />
Subject aims and description<br />
This introductory research methodology subject aims to<br />
provide participants with a basic knowledge <strong>of</strong> the research<br />
methods that are necessary for successful market modelling<br />
in today's business world. As part <strong>of</strong> this subject, participants<br />
are expected to make extensive use <strong>of</strong> library resources and<br />
will be required to undertake a minor research project which<br />
is <strong>of</strong> direct relevance to the participant's areas <strong>of</strong> interest.<br />
Research methodology topics normally covered include:<br />
posing research questions and the measurement <strong>of</strong><br />
E! - concepts;<br />
5.<br />
I.- library research methods;<br />
0,<br />
m<br />
types <strong>of</strong> study<br />
-qualitative research methods<br />
6. - survey research methods<br />
3<br />
!? - experimental research methods;<br />
G<br />
--,- analysis and interpretation <strong>of</strong> results;<br />
A<br />
5 presenting a project outline and report writing<br />
-.<br />
(U<br />
3<br />
C,<br />
ID<br />
rn<br />
8<br />
techniques.<br />
Textbook<br />
Gay, L.R. and Diehl, P.L. Research Methods for Business and<br />
Management, New York, Macmillan, 1992<br />
E ~ ~ 5 0 7<br />
VI<br />
Q.<br />
ID<br />
n 3<br />
ID<br />
Market Modelling 1<br />
No. <strong>of</strong> hours per week: two hours<br />
Prerequisites: nil<br />
Instruction: lectureltutorial<br />
Assessment: individual assignments<br />
Subject aims<br />
This subject aims to introduce students to the concept <strong>of</strong><br />
developing models for product demand. Students will be<br />
introduced to a range <strong>of</strong> predictive techniques that may be<br />
incorporated into demand models. Evaluation <strong>of</strong> model<br />
outputs will be an important aspect <strong>of</strong> this subject.<br />
Note that throughout this course, extensive use will be made<br />
<strong>of</strong> computer s<strong>of</strong>tware packages.<br />
In this subject, a number <strong>of</strong> case studies based on a variety <strong>of</strong><br />
product markets will be analysed.<br />
Subject description<br />
Approaches to modelling and forecasting demand<br />
Forecasting model for stationary and non-stationary data<br />
Forecast monitoring and aggregation methods<br />
Autoregressive and moving average processes<br />
Model identification and evaluation<br />
Textbooks<br />
Makridakis, S., Wheelwright, S.C. and McGee, V.E. Forecasting<br />
Methods and Applications. 2nd edn, New York, John Wiley, 1983<br />
sqsog<br />
Business Modelling<br />
No. <strong>of</strong> hours per week: three hours for two<br />
semesters<br />
Prerequisites: nil<br />
Instruction: seminars and workshops<br />
Assessment: syndicate assignments<br />
Subject aims and description<br />
This subject is designed to give students an understanding <strong>of</strong><br />
the role <strong>of</strong> quantitative analysis in the decision-making<br />
process. The skills acquired are used in other subjects <strong>of</strong> the<br />
course as well as giving an appreciation <strong>of</strong> quantitative<br />
techniques via practical applications. User-friendly computer<br />
packages are employed throughout the subject wherever<br />
possible, reflecting their importance and usefulness.<br />
The topics included are: demography, linear programming,<br />
forecasting, inventory management, quality control and<br />
survey data analysis.<br />
Textbook<br />
Render, B. and Stair, R.M. Quantitative Analysis for Management. 5th<br />
edn. Boston, Allyn & Bacon, 1994<br />
BQ601<br />
Financial Modelling<br />
Subject aims and description<br />
The aim <strong>of</strong> this subject is to enable students to appreciate,<br />
and gain practice in the application <strong>of</strong>, a range <strong>of</strong> computer<br />
based analysis methods as components <strong>of</strong> a decision support<br />
system.<br />
Throughout the subject, extensive use will be made <strong>of</strong><br />
computer packages and particular emphasis will be given to<br />
current developments in computing that relate to finance and<br />
financial management.<br />
Topic coverage includes:<br />
Decision support systems, expert systems, microcomputers<br />
and current s<strong>of</strong>tware developments, financial modelling using<br />
spreadsheets, public data bases, approaches to risk analysis,<br />
evaluation and selection <strong>of</strong> computing systems.<br />
References<br />
S<strong>of</strong>tware documentation, user manuals and current journal articles<br />
will provide the major reference material for the subject.<br />
~ ~ 6 0 6 Business Demography<br />
No. <strong>of</strong> hours per week: two hours<br />
Prerequisites: nil<br />
Instruction: lecturellaboratory<br />
Assessment: individual and syndicate<br />
assignments<br />
Subject aims<br />
To introduce the basic methods <strong>of</strong> demographic analysis and<br />
to develop an awareness <strong>of</strong> the marketing implications <strong>of</strong><br />
demographic data. The demographic characteristics <strong>of</strong><br />
enterprises will also be examined with the aim <strong>of</strong> developing<br />
regional industry information banks. The subject aims to<br />
familiarise students to the full range <strong>of</strong> demographic data<br />
produced by the Australian Bureau <strong>of</strong> Statistics and the<br />
statistical bureaus <strong>of</strong> Australia's major trading partners.<br />
Subject description<br />
Sources <strong>of</strong> demographic data