1997 Swinburne Higher Education Handbook

Interfacing elements - analog circuit components
Interfacing elements - basic transducers and sensors
Interfacing elements - advanced feedback sensors
Computer control fundamentals and advanced topics
Recommended reading
Toncich, D. J., Computer Architecture and IntPlfacing to
Mechatronic Systems, Brigton, Vic., Chrystoble Engineering, 1994
Kuo, Digital Control Sytems, 2nd edn, Saunders Publishing, 1992
MM653 Expert Systems, Simulation and
Modelling ?dQYigo f o j ~h-.
7.5 credit points 2 hours per week Hawthorn
Assessment: assignments and examinations
A subject in the Graduate Diploma in Engineering
(Computer Integrated Manufacture) and the Master of
Engineering (Computer Integrated Manufacture).
0 bjedives
To provide an understanding of the characteristics and uses
of modelling, simulation and expert systems technology
particularly in relation to improving the performance of
manufacturing operations.
Content
Tools for modelling manufacturing systems
Simulation strategies and methods
Simulation methodology
Simulation packages
Simulation and expert systems
Introduction to expert systems
Knowledge representation and reasoning methodology
Problem solving in expert systems
Tools for building expert systems
Recommended reading
Carrie, A., Simulation of Manufacturing Systems, Wiley, 1988
Giarratano, J., Rifey, G. Expert Systems Principals and
Programming. PWS, Kent, 1989
Neelamkavil, F., Computer Simulation and Modelling, Wiley, 1987
MM654 Computer Modelling and FEA
15 credit points 4 hours per week Hawthorn Assessment:
v, assignments, project and examinations 1 , +-i
5 A subject in the Graduate Diploma in Engineering
(Computer Integrated Manufacture) and the Master of
Engineering (Computer Integrated Manufacture).
b
$ Objectives
To provide a working knowledge of advanced computer
aided design tecniques, modelling, analysis and its
applications.
- -
Content
Finite element analysis
Parametric desing
Form feature design and solid modelling
Space curves and surfaces
NC machining of CAD models -
Kinematic and robotics modelling
Recommended reading
Groover, M.P., and Zirnmers, E.W., CAD/CAM Computer Aided
Design and Manufacturing, Englewood Cliffs, N.J., 1994
Newman, W.M., and Sproull, R.F., Principles of Interactive
Computer Graphics, 2nd edn, New York, McGraw Hill, 1979
Rodriguez, W., The modeling of Design idea, McGraw Book, 1992
Burnett, D., Finite Element Analysis, Reading Mass., Addison-
Wesley, 1987
Prenter, P.M., Splines and Variational Methods, NY, Wiley, 1975
MM661 Project ?l'fl:!io,..
I0 credit points 12 hdursper week Hawthorn
Assessment: progress report and presentation
A subject in the Master of Engineering (Computer
Integrated Manufacture).
0 biedives
To provide the opportunity to apply the subject matter
studied in other courses to the solution of CIM related
problems in hidher specific field of interest.
Content
Work on approved projects under Swinburne supervision.
External supervisors, where possible, may also be appointed.
Each project will require a literature survey, and a
theoretical and/or experimental investigation.
If possible the projects should be industry sponsored an have
direct relevance tothe student's area of employemnt. The
investigated work, results and conclusions will be presented
in a written report in accordance with the approved
guidelines.Ora1 pres entations to selected audience will also
be required. /? J;{2v. )
!
MM7 10 Introduction to Risk
7 credit points 2 hours per week Hawthorn
Instruction: lectures and tutorials
0 biedives
To introduce the philosophy and the terminology
concerning the idea of risk, understand the nature of human
perception and experience of risk and introduce techniques
in the analysis of risk related incidents.
Content
Risk terminology and system modelling nature and origin of
uncertainty; pphenomenology of risk and the application of
the scientific method; risk measurement; concept of
causation; objectivity and subjectivity related to risk
occurrence; types of risk: voluntary and involuntary.
Introduction to risk modelling description of models for risk
analysis the Heinrich model; risk psychological models;
energy damage model and the generalised time sequence
model.
Human perception of risk human response to uncertainty;
terminology and concepts: social cognition, perception;
perssonal and social attribution with regard to risk; attitudes
and attitude change; motivation; theory of cognitive dissonance.
Group dynamics in relation to personal risk situations.