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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

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