1997 Swinburne Higher Education Handbook

Recommended reading
Selected papers and course notes
Eunson, B., Behaving Managing YourseYand Others. Sydney,
McGraw-Hill, 1987
Rowe, W.D., An Anatomy of Risk. Repr. Malabar, Krieger, 1988
Sears, D.O., Social Psychology. 7th edn, Englewood Cliffs, N.J.,
Prentice Hall, 1991
Viner, D., Accident Analysis and Risk Control. Melbourne, VJR
Delphi, 1991
0
MM711 Quantitative Risk j PC: v\ 4
6 credit aoints 2 hours ber week Hawthorn
Instruction: lectures, tutorials and workshops
0 b jectives
To introduce students to the nature of statistical methods
and develops skill in application of the various methods.
Content
Descriptive statistics. Nature of variables, frequency,
distribution, mean, median, mode, normal curve, variance,
standard deviation. Exploratory data analysis, data
distribution and specification, ranges and interpretation.
Distributed data representation, data plots as histograms,
polygons .. and relative frequency histograms. Applications to
risk management.
Inferential statistics. Significance testing, null hypothesis,
comparison of data sets. Interpretation of distributed data,
samples and populations, confidence levels, variance analysis,
chi-square testing. Applications to risk management.
Probability. Basic theory; probability of success and failure,
addition and multiplicattion theorems, permutations and
combinations. Exponential distributions; reliability,
reliability function, MTBF, failure rate, failure analysis,
characteristics of exponential distributions.
Systems reliability; series and parallel reliability, missionn
profile, failure patterns, complete system reliability
function. Weibull distribution; analysis of uncensored
reliability data, use of Weibull graph, interpretation of
results. Analysis of censored data. Binomial distribution;
characteristics of binomial random variable, binomial
distribution, general case.
Poisson distribution; characteristics of Poisson random
variable, Poissson distribution, general case, relationships to
the binomial distribution. Applications to risk management.
Recommended reading
Levin, R.I. and Rubin, D.S., Statisticsfor Management. 6th edn,
London, Prentice Hall International, 1994
MM621 Risk Engineering Statistics Class Notes. Melbourne,
Swinburne Press, current year edition
Watson, C.J. et al. Statistics for Management and Economics. 5th
edn, Boston, Allyn & Bacon, 1993
6 credit points 2 hours per week Hawthorn Instruction:
lectures and tutorials
0 bjectives
To provide an introduction to principles of health and
safety law and the related legal obligations of people.
Content
Historical outline of the development of health and safety
law and doctrines common employment, contributory
negligence and voluntary assumption of risk.
Common law principles in the areas of occupation, public
and product health and safety; duty and standard of care;
tests of negligence.
Legal relationships involving employers, employees,
manufacturers and suppliers, service providers, consumers
and occupiers.
The role of the Australian Federal Government in health
and safety legislation.
The role of law in the control of health and safety, critical
evaluation of relevant statutes in Victoria. Includes the
OH&S Act, Dangerous Goods Act and Accident
Compensation Act, Occupiers Liability Act, and Trade
Practices Act.
The role and standing of codes of practice and standards.
Legal implications of product guarantees, warranties and
usage information.
The role of an expert witness.
Companies Act requirements of directors and officers,
liabilities and consequences.
Introduction to the Building Code of Australia and Fire
Regulations.
Recommended reading
Brooks, A,, Guidebook to Australian Occupational Health and
Safety Laws. 3rd edn, North Ryde, N.S.W. CCH Australia, 1988
Creighton, W.B., Understanding Occupational Health and Safety
Law in Victoria. North Ryde, N.S.W., CCH Australia, 1986
MM713 Risk Management Principles
6 credit points 2 hours per week Hawthorn Instruction:
lectures and tutorials
A first year subject in the Graduate Diploma of Risk
Manaagement. )
Objectives ,
To introduce fundamental principles related to loss
prevention and to develop a basic understanding of how risk
can be managed.
Content
Risk control concepts and definitions; organisational and
risk management.
Objectives
Overview of risk management models: process model, assets,
vulnerabilities, exposure and threats model, functions and
activities model; risk control principles and practice;
decision making. Insurance: the history and role of
insurance, principles of insurance: Content, claims
estimates, premium determination, types of premiums, reinsurance,
the role of brokers; liability insurance concerning
products, employers, employees and the public. Professional
indemnity: contract types and administration catastrophic
loss insurance: contract types and administration; captive
insurance organisations, self insurers, bank guarantees.
Swinburne University of Technology 1997 Handbook 457