1997 Swinburne Higher Education Handbook

differential equations. Spaces of vectors and linear equations;
rank, nullspace and range of a matrix. Eigenvalues and
eigenvectors; diagonalisation of simple matrices,
applications. Infinite sequences; infinite series, tests for
convergence. Power series; Taylor and Maclaurin series.
Functions of several variables: linear and quadratic
approximations; stationary points; Taylor polynomials.
SM387 Introduction to Optimisation
10 credit points 3 hours per week Hawthorn Prerequisites:
nil Assessment: assignments and examination
A second year subject in the Bachelor of Applied Science
(Mathematics and Computer Science).
Objectives
This subject aims to enable students to:
formulate and solve large linear programming
problems;
perform sensitivity analysis on the solution to linear
programming problems;
formulate and solve integer programming problems;
formulate and solve linear programming transportation
and assignment problems;
formulate and solve problems using dynamic
programming.
Content
Linear and integer programming, simplex method,
sensitivity analysis, transportation and assignment
algorithms, branch and bound methods, deterministic
dynamic programming.
Computer packages such as SAS/OR, Lotus 123/PROPS
may be used.
Recommended reading
Journal of the Operational Research Society
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, Belmont, Calif., Wadsworth, 1994
SM388 Forecasting and Regression
10 credit points 3 hours per week Hawthorn Prerequisites:
SM185,SM288 Assessmat: tests/examinution and assignmats
A second year subject in the Bachelor of Applied Science
(Mathematics and Computer Science).
0 bjectives
Introduce students to time series forecasting and provide
students with an introduction to different methodologies
and computer packages;
Introduce students to the method and applications of
regression;
Help students tackle real problems;
Give students the opportunity to gain experience in
team working.
Content
Introduction to time series forecasting, data patterns,
moving average methods, exponential smoothing methods,
calculation of seasonal indices using decomposition
methods, ad hoc forecasting methods, measures of accuracy.
Mean Absolute Deviation, confidence intervals, analysis of
error terms, computer packages such as Excel may be used.
Linear (single predictor) regression models, residual plots,
checking of assumptions, tests and confidence intervals for
parameters. Computer packages such as Minitab will be used.
The students working in groups tackle an unstructured case
study related to a practical situation. Reporting is by way of
both oral and written reports.
Recommended reading
Johnson, R. and Bhattacharyya, G., Statistics: Principles and Methoak.
2nd edn, New York, Wiley, 1992
Moore, D.S. and McCabe, G.P., Introduction to the Practise of
Statistics, 2nd edn, New, York, Freeman, 1993
Winston, W.L., Operations Research: Applications and Algorithms. 3rd
edn, Belmont, Calif., Wadsworth, 1994
SM404 Project Management A
10 credit points 3 hoursper week Hawthorn Prerequisite:
nil Assessment: tests, assignments, verbal presentations and
participation in tutorial classes and project teams
A second year subject in the Bachelor of Applied Science
(Mathematics and Computer Science).
Content
Applied research/project management
Project characteristics: project stages; project management,
teamwork leadershiv and the . vroiect , leader: resvonsibilities
* L
of the project leader; project planning; determination of
tasks; scheduling tasks; development of project plan;
monitoring and control of project; benefits of project
management; when to use project management; senior
management's responsibilities, the project leader and the
project team. Guest speakers and management games may be
used. Tutorial classes will be based on experiential exercises
in organisational behaviour.
Internal project
Students, working in groups of four or five, will be required
to undertake a project for a member of staff acting as a
client. Each group will be totally responsible for managing
the project and for bringing it to a successful conclusion.
They will be expected to maintain team meeting notes,
barcharts, etc., and to provide each staff member with
suitable progress reports. In addition, they will be expected
to obtain formal approval for the work that they are
undertaking from the appropriate staff member. Verbal and
written reports will be required at the end of the semester
reporting on the management process and the results of the
project.
Preparation for employment
Review preparation of resumes and interview techniques;
participate in seminars presented by fourth year students
returning from Industry Based Learning.
Recommended reading
Katzenback, Jon R., and Smith D.K., The Wisdom of Teams:
Creating the High-Pwfinance Orgnization, Boston, MA, Harper
Swinburne University of Technology 1997 Handbook 51 1