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Please note - Swinburne University of Technology

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References<br />

Foley, J.D. and Van Dam, A. Fundamentals <strong>of</strong> interactive Computer<br />

Graphics. Reading. Mass.: Addison-Wesley, 1982<br />

Groover. M.P and Zirnrners. E.W. CAD/CAM Computer Aided Design<br />

and Manufacruring. Englewood Cliffs, N.J.: Prentice Hall, 1984<br />

Newman, W.M. and Sproull, R.F. Principles <strong>of</strong> Interactive Computer<br />

Graphics. 2nd ed., New York: McGraw Hill, 1979<br />

Pao, YV. Elements <strong>of</strong> Computer Aided Design and Manufacturing.<br />

New York: Wiley, 1984<br />

MM689 Minor Thesis<br />

No. <strong>of</strong> hours per week: sixteen hours<br />

Assessment: continuous assessment <strong>of</strong> work and<br />

participationlfinal report and presentation.<br />

(Assessment will be in accordance with the<br />

regulations and marking scheme handed out to<br />

students when projects are approved)<br />

A subject in the Master <strong>of</strong> <strong>Technology</strong> CIM.<br />

Subject aims and description<br />

This subject aims to give the student the opportunity to<br />

apply the subject matter studied in the other course subject<br />

to CIM related problems in hislher specific field <strong>of</strong> interest.<br />

Where possible the problems should be industry sponsored<br />

and haw direct relevance to the student's area <strong>of</strong><br />

employment.<br />

Students will work on approved problems under staff<br />

supervision. External supervisors may also be appointed. Each<br />

project will require a literature survey, and a theoretical<br />

andlor experimental investigation.<br />

Results and conclusions will be presented in a written report<br />

and oral presentations to selected audiences will be required<br />

to accustom the student to giving oral progress reports on a<br />

major project.<br />

MM710 Introduction to Risk<br />

No. <strong>of</strong> hours per week: two hours<br />

Instruction: lectures and tutorials<br />

A subject in the Graduate Diploma in Risk Management.<br />

Subject aims and description<br />

This subject aims to introduce the philosophy and the<br />

terminology concerning the idea <strong>of</strong> risk, understand the<br />

nature <strong>of</strong> human perception and experience <strong>of</strong> risk and<br />

introduce techniques in the analysis <strong>of</strong> risk related incidents.<br />

Risk terminology and system modelling: nature and origin <strong>of</strong><br />

uncertainty; phenomenology <strong>of</strong> risk and the application <strong>of</strong><br />

the scientific method; risk measurement; concept <strong>of</strong><br />

causation; objectivity and subjectivity related to risk<br />

occurrence; types <strong>of</strong> risk: voluntary and involuntary.<br />

lntroduction to risk modelling: description <strong>of</strong> models for risk<br />

analysis: the Heinrich model; risk psychological models;<br />

energy damage model and the generalised time sequence<br />

model.<br />

Human perception <strong>of</strong> risk: human response to uncertainty;<br />

terminology and concepts: social cognition, perception;<br />

personal and social attribution with regard to risk; attitudes<br />

and attitude change; motivation; theory <strong>of</strong> cognitive<br />

dissonance.<br />

Group dynamics in relation to personal risk situations.<br />

References<br />

Selected papers and course <strong>note</strong>s<br />

Eunson, B. Behaving: Managing Yourself and Others. Sydney:<br />

McGraw-Hill, 1987<br />

Rowe, W.D. An Anatomy <strong>of</strong> Risk. Repr. Malabar: Krieger, 1988<br />

Sears, 0.0. Social Psychology. 7th ed, Englewood Cliffs, N.J.: Prentice<br />

Hall, 1991<br />

Viner, D Accident Analysis and Risk Control Melbourne, VJR Delphi,<br />

1991<br />

MM7l f Quantitative Risk<br />

No. <strong>of</strong> hours per week: two hours<br />

Instruction: lectures, tutorials and workshops<br />

A subject in the Graduate Diploma in Risk Management.<br />

Subject aims and description<br />

The course <strong>of</strong> study introduces students to the nature <strong>of</strong><br />

statistical methods and develops skill in application <strong>of</strong> the<br />

various methods.<br />

Descriptive statistics. Nature <strong>of</strong> variables, frequency,<br />

distribution, mean, median, mode, normal curve, variance,<br />

standard deviation. Exploratory data analysis, data<br />

distribution and specification, ranges and interpretation.<br />

Distributed data representation, data plots as histograms,<br />

polygons and relative frequency histograms. Applications to<br />

risk management.<br />

Inferential statistics. Significance testing, null hypothesis,<br />

comparison <strong>of</strong> data sets. lnterpretatiori <strong>of</strong> disthbuted data,<br />

samples and populations, confidence levels. variance analmis. , .<br />

chi-square testing. Applications to risk management.<br />

Probability. Basic theory; probability <strong>of</strong> success and failure,<br />

addition and multiplication theorems, permutations and<br />

combinations. Exponential distributions; reliability, reliability<br />

function, MTBF, failure rate, failure analysis, characteristics <strong>of</strong><br />

exponential distributions.<br />

Systems reliability; series and parallel reliability, mission<br />

pr<strong>of</strong>ile, failure patterns, complete system reliability function.<br />

Weibull distribution; analysis <strong>of</strong> uncensored reliability data,<br />

use <strong>of</strong> Weibull graph, interpretation <strong>of</strong> results. Analysis <strong>of</strong><br />

censored data. Binomial distribution; characteristics <strong>of</strong><br />

binomial random variable, binomial distribution, general case.<br />

Poisson distribution; characteristics <strong>of</strong> Poisson random<br />

variable, Foisson distribution, general case, relationships to<br />

the binomial distribution. Applications to risk management.<br />

References<br />

Levin, R.I. and Rubin, D.5. Statistics for Management. 5th ed, Prentice<br />

Hall International Editions, 1991<br />

MM621 Risk Engineering Statistics Class Notes. Melbourne:<br />

<strong>Swinburne</strong> Press. current year edition<br />

Watson, C.J., Billingsley, E Cr<strong>of</strong>t. D.J. and Huntsberger. D.V. Statistics<br />

for Management and Economics. 4th ed, Prentice Hall International,<br />

1990<br />

MM712 RiskLaw<br />

No. <strong>of</strong> hours per week: two hours<br />

Instruction: lectures and tutorials<br />

A subject in the Graduate Diploma in Risk Management.<br />

subject aims and description<br />

This subject aims to provide an introduction to principles <strong>of</strong><br />

health and safety law and the related legal obligations <strong>of</strong><br />

people.<br />

Historical outline <strong>of</strong> the development <strong>of</strong> health and safety<br />

law and doctrines: common employment, contributory<br />

negligence and voluntary assumption <strong>of</strong> risk,<br />

Common law principles in the areas <strong>of</strong> occupation, public<br />

and product health and safety; duty and standard <strong>of</strong> care;<br />

tests <strong>of</strong> negligence.<br />

Legal relationships involving employers, employees,<br />

manufacturerj and suppliers, service providers, consumers<br />

and occupiers.<br />

The role <strong>of</strong> the Australian Federal Government in health and<br />

safety legislation.<br />

The role <strong>of</strong> law in the control <strong>of</strong> health and safety, critical<br />

evaluation <strong>of</strong> relevant statutes in Victoria. Includes the OH&S<br />

Act, Dangerous Goods Act and Accident Compensation Act,<br />

Occupier's Liability Act, and Trade Practices Act.

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