Please note - Swinburne University of Technology

The design effect; sample size determination; EPSEM samples.
Ratio estimation;
Cluster sampling, multi-stage sampling, PPS sampling;
variance estimation.
Practical issues and methods; questionnaire design; pilot
surveys, mail, interviewer-based and telephone surveys; nonsampling
errors; weighting.
References
Cochran, W.G. Sampling Techniques. New York, Wiley, 1977
Jolliffe, F.R. Survey Design and Analysis. Chichester, Ellis Hotwood,
1986
Kalton, G, Introduction to Survey Sampling. Beverly Hills, Sage. 1983
Stuart. A. Basic Ideas of Scientific Sampling. London, 3rd edn, Griffin,
1968
Sudrnan, 5. Applied Sampling. New York, Academic Press, 1976
~ ~ 5 8 7 Stochastic Models
10 credit points
No. of hours per week: three hours
Assessment: assignments and examination
Subject description
Advanced queueing theory, simulation using dedicated
software, stochastic inventory models, stochastic dynamic
programming, stochastic scheduling models, game theory,
Markov processes, reliability theory.
Computer packages such as SAS/OR, SIMAN, and Lotus 123/
PROPS may be used.
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Textbooks and References
m Journal of the Operational Research Society
3
oavindran, A,, Phillips, D.T. and Solberg, J.J. Operations Research,
- Principles and Practice. 2nd edn, New York, Wiley, 1987
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=, Winston, W.L. Operations Research: Applications and Algorithms. 3rd
2. edn, Belrnont, Calif., Wadsworth, 1994
ID
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~ ~ 5 8 8
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Industrial Applications of
Operations Research
10 credit points
No. of hours per week: three hours
Assessment: assignments and examination
Subject description
Production, scheduling, distribution, inventory control, and
transportation.
Computer packages such as SAVOR will be used.
Textbooks and References
Gaither, N. Production and Operations Management -A Problem
Solving and Decision Making Approach. 4th edn, Chicago, The Dryden
Press, 1990
Gilmour, P. The Management of Distribution: An Australian
Framework. 2nd edn, Melbourne, Longman Cheshire, 1987
Journal of the Operational Research Society
Mercer, A,, Cantley, M. and Rand, G. Operational Distribution
Research. London, Taylor and Francis, 1978
Ravindran, A,, Phillips, D.T. and Solberg, J.J. Operations Research,
Principles and Practice. 2nd edn, New York, Wiley, 1987
Winston, W.L. Operations Research: Applications and Algorithms. 3rd
edn, Belrnont, Calif.. Wadsworth, 1994
~ ~ 6 0 4 Industrial Research Project
10 credit points
No. of hours per week: three hours
Assessment: group written and oral reports
Subject description
This subject brings together in a student consultancy project
techniques covered in the academic parts of the course
together with personal and project management skills learnt in
the project management subjects.
Students will work in groups on an industrial or research
project. The projects will be selected from a variety of
companies, government agencies, voluntary associations, etc.
Each group will have a student leader plus a staff member as
overall project leader. Final reports plus interim and final verbal
presentations will be required. These may involve presentations
at client companies. A project procedure document sets out
the documentation and verbal reporting requirements.
Textbooks and References
Students will use such references as are appropriate to the particular
project.
SM608
Industry Based Learning
50 credit points
A six-month period of industry based learning occurring as part
of the third year of the course leading to the degree of
Bachelor of Applied Science. Students are supervised by a
member of the academic staff and are required to submit a
brief report to their employer and to their supervisor.
~ ~ 6 0 9 Mathematics Project
7.5 credit points
No. of hours per week: three hours
Assessment: written reports and verbal
presentation
Students work in groups on an industrial or research based
project. On completion a verbal presentation and written
report are given to the ~IientJorganisation.
~ ~ 6 8 4 Time Series Analysis
10 credit points
No. of hours per week: three hours
Prerequisite: SM484
Assessment: testslexamination and assignments
Subject description
Index numbers, EDA approach to time series - methods of
smoothing. Trend, season, cycle, moving averages,
deseasonalised series. Modelling series - autocorrelation, lag
structures.
Computer packages such as Minitab and SAS/ETS will be used.
Textbooks and References
To be advised.