Please note - Swinburne University of Technology

SM700 Reading Program
12.5 credit points
No formal hours
Prerequisites: nil
Instruction: individual supervision
Assessment: submission of a literature survey
report and an verbal examination of the material
presented in the reading program. The
examination panel will be composed of the
minor thesis supervisor and one other academic
staff member
Subject aims
To provide the appropriate reading material relevant to each
student's proposed minor thesis topic.
Subject description
A reading program relevant to the minor thesis topic. The
reading program will vary from student to student
depending on the topic of study.
Reference
Moses, I. Supenking bstgraduates. Kensington, N.S.W.: HERDSA
Green Guide No. 3, 1985
~ ~ 7 0 Stochastic 3 Processes
12.5 credit points
No. of hours per week: four hours (total 56
hours)
Prerequisites: nil
Instruction: class teaching, workshops and
computer laboratory sessions
Assessment: assignments 50%, examination 50%
Subject aims
To study stochastic processes and their methods of solution
when applied to selected operations research topics.
Subject description
Topics selected from random walks, branching processes,
Markov chains, advanced queueing theory, simulation using
dedicated software, stochastic inventory models, stochastic
scheduling models, stochastic LP, stochastic dynamic
programming.
References
Allen, A.O. Probability. Statistics and Queueing Theory: With
Computer Science Applications. 2nd ed, Boston: Academic Press.
1990
Feller, W. An Introduction to Probability Theory and its Applications.
Volume 1, 3rd ed, New York: Wiley, 1968
Heyrnan. D.P. and Sobel, M.J. Stochastic Models. Handbooks in
Operations Research and Management Science. Volume 2,
Amsterdam, North Holland, 1990
Kleinrock, L. Queueing Spfems. Vol. 1, New York: Wiley, 1975
Kleinrock, L. Queueing Systems. Vol. 2, New York: Wiley, 1976
law, A.M. and Kelton, W.D. Simulation Modelling and Analysis. 2nd
ed, New York: McGraw Hill, 1991
Leigh. J.R. Modelling and Simulation. London: Rregrinus, 1983
Maki, D.C and Thompson. M. Mathematical Models and Applicatmns.
Englwvood Cliffs: Prentice Hall, 1973
Murthy, D.N.P.. Page, N.W. and Rodin, E.Y. Mathematical Modelling: A
Tool for Problem Solving in Engineering, Physical, Biological and
Social Sciences. Oxford: Pergamon, 1990
W~nston, W.L. Operations Research Applications and Algorithms. 2nd
ed, Boston: WE-Kent, 1991
Computer software
Lotus 123, SIMAN, SAS.
SM704
Mathematical Methods
12.5 credit points
No. of hours per week: four hours (total 56
hours)
Prerequisites: nil
Instruction: class teaching
Assessment: assignments 30%, examination 70%
Subject aims
To introduce some areas of modern mathematics and their
application in numerical methods.
Subject description
A selection of topics from real and functional analysis, linear
algebra, complex variables.
References
Barnett, 5. and Cameron, R.G. Introduction to Mathematical Control
Theory 2nd ed. Oxford: Clarendon Press, 1985
Gantmacher. F.R. The Theory of Matricer Vol. I and 11, Chelsea:
Bronx, 1959
Hauser, A.A. Complex Wriables with physical Applications. Simon and
Schuster, 1971
Hoffman, K. Analysis in Euclidean Space. Englewood Cliffs, N.J.:
Prentice Hall, 1975
Lancaster, F! Theory of Matrices 2nd ed, Orlando: Academic Press,
1985
Mukherjea, A. Real & Functional Analysit New York, 1978
Rade, L. and Westergren, B. Beta Mathematics Handbook. 2nd ed,
Lund: Studentlitteratur, 1990
Spiegel, M.R. Theory and Problems of Complex Mriables. Schaum's
Outline Series. 2nd ed, New York: McGraw-Hill, 1974
Computer software
MATLAB
SM705 Computing Techniques and Packages
12.5 credii points
No. of hours per week: four hours (total 56
hours)
Prerequisites: nil
Instruction: class teaching, individual study
program, workshops and computer laboratory
sessions
Assessment: assignments 50%, examination 50%
Subject aim
To provide an in depth study of some computing languages
and packages relevant to a student's course of study.
Subject description
A selection of topics from C, Mathematica, Mathcad, SIR,
SAS, SASIOR, SASIGRAPH, SASIIML, SASIETS, FIDAP. SIMAN,
MATLAB or other relevant packages.
References
Relevant manuals
SM706 Decision and Risk Analysis
12.5 credit points
No. of hours per week: four hours (total 56
hours)
Prerequisites: nil
Instruction: class teaching, workshops and
computer laboratory sessions
Assessment: assignments 50%. examination 50%
Subject aim
To present students with statistical methods and tools used
to assist decision making and risk management in industry.
Subject description
Selection of topics from decision analysis, reliability theory,
risk analysis and quality control.
References
Adair, J. Management Decision Making. Aldeahot: Gower, 1985
Baird, 8.F. Management Decisions Under Uncertainty: An
Introduction. New York: Wiley, 1989
Davis, M. The Art of Decision Making. New York: Springer, 1986
Frankel, E.G. Systems Reliability and Risk Analysis. 2nd ed, Dordrecht:
Kluwer, 1988
Martz, H.F. and Waller, R.A. Bayesian Reliability Analyrs. New York:
Wiley, 1982
Montgomery, D.C. Intffiduction to Statistical Quality Control. New
York: Wiley, 1991
Perigord. M. Achieving Total Quality Management. Cambridge, M.A.: