Please note - Swinburne University of Technology
Please note - Swinburne University of Technology
Please note - Swinburne University of Technology
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Seminars<br />
Throughout the semester the students will be given the<br />
opportunity to present seminars and to participate in<br />
seminars presented by practitioners from business and<br />
industry.<br />
Textbooks<br />
Department <strong>of</strong> Mathematics <strong>note</strong>s<br />
References<br />
To be given by ledurers<br />
SM626 Applied Statistics 6<br />
7.5 credit points<br />
No. <strong>of</strong> hours per week: three hours<br />
Assessment: testslexamination and assignments<br />
A fourth-year subject <strong>of</strong> the degree course in mathematics<br />
and computer science.<br />
Subject description<br />
5 Sample Surveys<br />
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Ratio estimation, sampling, equal and unequal clusters, PPS<br />
sampling, cluster homogeneity, weighting for non-response.<br />
Topics in Applied Statistics<br />
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A selection <strong>of</strong> two or three topics will be made from a<br />
range <strong>of</strong> current statistical methods such as statistical quality<br />
control, multivariate statistics, econometric methods, nonparametric<br />
methods and design and analysis <strong>of</strong> experiments.<br />
SM632 Social Change in the Modern World<br />
5.0 credit points<br />
No. <strong>of</strong> hours per week: three hours<br />
Assessment: assignment, verbal presentation and<br />
media foliolreport<br />
Subject description<br />
The course will consider the rapid nature <strong>of</strong> technological<br />
and social change in modern industrial society, with<br />
particular stress on the consequences which this has for<br />
man and the environment. Aiming to introduce the student<br />
to some basic concepts in sociology, the focus will be on<br />
alterations which occur in patterns <strong>of</strong> culture, social structure<br />
and in attitudes and social behaviour.<br />
Reference<br />
Suzuki, D.. Inventing the Future. N.S.W.: Allen and Unwin. 1992<br />
SM684 Time Series Analysis<br />
10.0 credit points<br />
No. <strong>of</strong> hourj per week: three hours<br />
Prerequisite: SM484<br />
Assessment: testslexarnination and assignments<br />
A third-year subject <strong>of</strong> the degree courses in mathematics<br />
and computer science and applied and industrial<br />
mathematics.<br />
Subject description<br />
Index numbers, EDA approach to time series - methods <strong>of</strong><br />
smoothing. Trend, season, cycle, moving averages,<br />
deseasonalised series. Modelling series - autocorrelation,<br />
lag structures.<br />
Computer packages such as Minitab and SASIETS may be<br />
used.<br />
Textbooks and References<br />
To be advised<br />
5~687 Applications <strong>of</strong> Modelling<br />
10.0 credit points<br />
No. <strong>of</strong> hours per week: three hours<br />
Prerequisites: nil<br />
Assessment: assignments and examination<br />
A third-year subject <strong>of</strong> the degree courses in mathematics<br />
and computer science and applied and industrial<br />
mathematics.<br />
Subject description<br />
A study <strong>of</strong> two or three areas <strong>of</strong> applications chosen<br />
according to the expertise available within the Department<br />
or from visiting staff. Topics will vary from year to year, with<br />
the emphasis being on the application area rather than<br />
particular techniques. Areas include sport, agriculture,<br />
environmental modelling, marketing, superannuation, social<br />
statistics, manufacturing, distribution, and artificial<br />
intelligence.<br />
Textbooks and References<br />
Journal <strong>of</strong> the ~~efational Research Society<br />
To be advised<br />
SM688 Mathematical Programming<br />
10.0 credit points<br />
No. <strong>of</strong> hours per week: three hours<br />
Prerequisite: SM487<br />
Assessment: assignments and examination<br />
A third-year subject <strong>of</strong> the degree courses in mathematics<br />
and computer science and applied and industrial<br />
mathematics.<br />
Subject description<br />
Linear and integer programming, duality, parametric<br />
programming, non linear programming, geometric<br />
programming.<br />
Computer packages such as SASlOR may be used.<br />
Textbooks and References<br />
Journal <strong>of</strong> the Operational Research Society<br />
Ravindran, A,, Phillips, D.T. and Solberg, J.J. Operations Research,<br />
Principles and Practice. 2nd ed, New York: Wiley, 1987<br />
Winston, W.L. Operations Research Applications and Algorithms. 2nd<br />
ed, Boston: PWS-Kent, 1991<br />
SM689 Decision Analysis<br />
10.0 credit points<br />
No. <strong>of</strong> hours per week: three hours<br />
Prerequisites: nil<br />
Assessment: assignments and examination<br />
A third-year subject <strong>of</strong> the degree courses in mathematics<br />
and computer science and applied and industrial<br />
mathematics.<br />
Subject description<br />
Decision making under uncertainty, utility theory, bayes rules<br />
and decision trees. Multiple objective decision making, goal<br />
programming, multi-criteria decision problems, multi-attribute<br />
utility theory, analytical hierarchy process, applications and<br />
packages, recent advances.<br />
Computer packages such as EC(AHP packages) and Lotus<br />
123lPROPS may be used.<br />
References<br />
Adair, J. Management Decision Making. Aldershot. Atlantis: Gower,<br />
1985<br />
Baird, B.F. Management Decision Under Uncertainty: An Introduction.<br />
New York: Wiley, 1989<br />
Davis, M. The Art <strong>of</strong> Decision Making. New York: Springer. 1986<br />
Frankel, E.G. Systems Reliability and Risk Analysis. 2nd ed. Dordrecht:<br />
Kluwer, 1988<br />
Journal <strong>of</strong> the Operations Research Society<br />
Saaty, T.L. Decision Making: The Analytical Hierarchy Process.<br />
Pittsburgh: T.L. Saaty, 1988