1996 Swinburne Higher Education Handbook

SM710 Advanced Mathematical
Programming
12.5 credit points 4 hours per week Hawthorn Assessment
assignments and examination
A final year subject in the Bachelor of Applied Science
(Honours and Mathematics)
0 bjectives
To introduce students to both the theoretical and
computational aspects of mathematical programming.
Content
Topics selected from: basic convex analysis, minimization
conditions, descent methods, Quasi-Newton methods,
conjugate direction methods, Levenberg-Marquardt method,
constrained minimization, parametric programming and
sensitivity, integer programming, interior . point . and related
methods, geometric programming, quadratic programming,
separable problems in NLP, non smooth techniques, goal
programming.
Recommended reading
Dennis, J.E. and Schnable, R.B., Numerid Merhodsfor
Unconstrained Optimization and Nonlimr Equations. Englewood
Cliffs, N.J., Prentice Hall, 1983
Fletcher, R., Practical Methods of Optimiuttion. 2nd edn, Chichester,
Wiley, 1987
Gill,P., Murray, W. and Wright, M., Pructical Optimization.
London, Academic Press, 1981
Computer software
SAS/OR, MATLAB.
SM711 Research Project
12.5 credit points (sem. 1) 25.0 credit points (sem. 2) No
ford hours Hawthorn Assessmat studmts will submit
written halfsemester reports to the supervisor, a written minor
thesis (lli,000 words) 70%, a a&/ examination 20%, a seminar
presentation to staffand students 10% Based on the above a grade
and score will be awarded by the su&t panel
A final year subject in the Bachelor of Applied Science
(Honours in Mathematics)
Objectives
To define, plan and carry out a research or industrial
project. Submit a minor thesis.
Content
Content will vary from student to student depending on the
particular project undertaken.
Recommended reading
Moses, L, Supervising Postgraduates. Kensington, N.S.W., HERDSA
SM732 Survey Research Methods
12.j credit points 4 hourspw week Hawthorn
Prerequisites: SM750, W751
A first year subject in the Graduate Certficate and Graduate
Diploma of Applied Science (Social Statistics)
Content
This subject aims to enable students to identify and
understand some of the methodologies used in survey
research. It includes an overview of the procedures used in
survey research, a descriptive approach to methods of
sampling and data collection methods including
questionnaire design and interview techniques (personal and
telephone) mail surveys and census methods survey report
writing and presentation. Other topics may include data
processing including entering, coding, quality control and
analysis of multiple response questions.
Recommended reading
To be advised.
SM733 Demographic Techniques
12.5 credit points 4 hours per week Hawthorn Prerequisite:
SM742
A second year subject in the Graduate Diploma of Applied
Science (Health Statistics and Social Statistics)
Objectives
This subject aims to give an understanding of the basic
methods of demographic analysis and to develop an
awareness of the social implications of demographic data.
Content
It will include topics chosen from the following: sources of
demographic data. Census data and use of CD ROM
technology such as CDATA91. Population processes, births
and deaths, size and distribution, mobility, spatial patterns
and models for regional demographic analysis may be
included. Indicators and benchmarks, projections and
forecasts.
Recommended reading
To be advised.
SM735 Survey Sampling
12.5 credit points 4 hours per week Hawthorn
A second year subject in the Graduate Diploma of Applied
Science (Social Statistics)
0 biectives
Introduce basic methods for sample survey design and
analysis.
Provide practical examples of designing simple sample
surveys.
Content
The basic designs for sample surveys: simple random
samping, stratified sampling, systematic sampling and cluster
sampling.
Estimators for the mean total and proportion for simple
random samples and stratified samples; variance estimation.
The design effect; sample size determination; EPSEM
samples
Ratio estimation;
Cluster sampling, . . multi-stage sampling, PPS sampling;
variance estimation.
Recommended reading
Cochran, W.G., Sampling Techniques. New York, Wiley, 1977
Jolliffe, F.R. Survey Design and Analysis. Chichester, Ellis,
Horwood, 1986