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Please note - Swinburne University of Technology

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Semester 2<br />

Course Work Subject 12.5<br />

Course Work Subject 12.5<br />

SM711 Research Project 25.0<br />

Introduction to Resea~h Skills<br />

At the beginning <strong>of</strong> first semester, students will undertake a<br />

short course in research techniques including skills needed<br />

for the minor thesis. This will not be formally assessed.<br />

Reading program<br />

The reading program will involve one semester <strong>of</strong> directed<br />

reading <strong>of</strong> relevant research methodology and the theoretical<br />

underpinnings <strong>of</strong> the thesis topic. The minor thesis<br />

supervisor, in consultation with the Mathematio Department<br />

Honours Committee, will prepare such a reading program for<br />

each student at the commencement <strong>of</strong> the semester.<br />

Coursework subjects<br />

2 The four coursework subjects will consist <strong>of</strong>:<br />

0<br />

2 at least two Department <strong>of</strong> Mathematics subjects at the<br />

r" Masters by Coursework or honours level<br />

% at most one subject at the third year level which has not<br />

><br />

'U<br />

E -. 9<br />

been attempted previously<br />

other subjects <strong>of</strong> a relevant standard.<br />

fD<br />

In special cases, students may be allowed to choose subjects<br />

E. from other departments or from other institutions. In<br />

particular, students may be permitted to choose some<br />

f subjects from the undergraduate, honours or masters<br />

program in Computer Science.<br />

Honours subjects <strong>of</strong>fered by the Mathematics Department<br />

will be chosen from the list below, but will vary from year to<br />

year depending on availability and current interests <strong>of</strong> staff<br />

and prospective students.<br />

SM710 Advanced Mathematical Programming<br />

SM705 Computing Techniques and Packages<br />

SM706 Decision and Risk Analysis<br />

SM707 Differential Equations<br />

SM709 Industrial Operations Management<br />

SM704 Mathematical Methods<br />

SM703 Stochastic Processes<br />

The following subjects from the Masters degree in Social<br />

Statistics may also be suitable.<br />

Credit points<br />

SM744 Statistical Modelling 12.5<br />

SM746 Multivariate Statistics 2 12.5<br />

SM747 Secondary Data Analysis 12.5<br />

SM752 Advanced Statistical Computing 12.5<br />

Research project<br />

Students undertake a research andlor industrial project<br />

worth 37.5 credit points into a nominated topic. The topic<br />

will require students to acquire appropriate<br />

researchldevelopment methodology and may allow scope for<br />

the demonstration <strong>of</strong> original thought. Projects in association<br />

with industry will be encouraged. In such projects joint<br />

supervision with industry representatives is anticipated. The<br />

minor thesis normally would not exceed 15,000 words, and<br />

publication <strong>of</strong> results is encouraged.<br />

Postgraduate course<br />

information<br />

2077 Graduate Certificate <strong>of</strong> Applied<br />

Science (Computer Science)<br />

The course is designed to teach the crafting <strong>of</strong> s<strong>of</strong>tware in a<br />

UNlX system environment and concentrates on developing<br />

programming skills in the languages C and C+ +.<br />

The Graduate Certificate <strong>of</strong> Applied Science (Computer<br />

Science) involves one year <strong>of</strong> part-time study. The course<br />

consists <strong>of</strong> the first four units <strong>of</strong> the part-time Graduate<br />

Diploma <strong>of</strong> Applied Science (Computer Science) and would<br />

require a class attendance commitment <strong>of</strong> eight hours per<br />

week over two semestea.<br />

Entry is open to applicants with a degree in a discipline<br />

other than computer science, or to applicants with at least<br />

two years experience in the computing industry.<br />

Course structure<br />

(1 993 syllabus)<br />

credit points<br />

SQ700 Programming in C 12.5<br />

54702 UNlX Systems Programming 12.5<br />

5471 0 Advanced C Programming 12.5<br />

54714 Systems Analysis and S<strong>of</strong>tware Engineering 12.5<br />

Students who complete the Graduate Certificate <strong>of</strong> Applied<br />

Science (Computer Science) with good results may be<br />

admitted to the Graduate Diploma <strong>of</strong> Applied Science<br />

(Computer Science) with advanced standing.<br />

Application procedure<br />

See entry under 'General information'.<br />

zo-- Graduate Certificate <strong>of</strong> Applied<br />

Science (Health Statistics)<br />

A one-year part-time program aimed to train people without<br />

a specialist mathematical or statistical background who wish<br />

to work in, or are already employed in health related areas<br />

which require data analytical skills. The emphasis will be on<br />

skills development giving the participants the opportunity to<br />

become pr<strong>of</strong>icient with a variety <strong>of</strong> statistical tools used in<br />

the health sciences. It will concentrate on descriptive<br />

methods with only an introduction to statistical inference.<br />

Applicants to the Graduate Certificate should have a relevant<br />

first degree or diploma qualification, although it is expected<br />

that they will have worked in a health related area. Other<br />

applicants whose occupation and experience indicates that<br />

they have the capacity to succeed may be accept . into the<br />

course.<br />

Course structure<br />

The course is made up <strong>of</strong> four subjects. The class contact<br />

hours will normally be four hours per night, two nights per<br />

week for two semesters, consisting <strong>of</strong> a combination <strong>of</strong><br />

lectures and practical work as applicable to the topic.<br />

SM751 lntroduction to Data Analysis<br />

SM750 Basic Statistical Computing<br />

SM753 Survey Methods<br />

SM754 lntroduction to Health Statistics<br />

Application procedure<br />

See entry under 'General information'.<br />

2076 Graduate Certificate <strong>of</strong> Applied<br />

Science (Social Statistics)<br />

This course is designed for graduates in the humanities and<br />

social sciences who have a pr<strong>of</strong>essional interest in the use <strong>of</strong><br />

statistics. It is also applicable to other graduates who have a<br />

need to use statistics in their work but have not had<br />

sufficient or current training in the area. It concentrates on<br />

practical skills and enables participants to broaden their<br />

theoretical and practical knowledge <strong>of</strong> the basic areas <strong>of</strong><br />

social statistics.<br />

The courje is open to graduates in any discipline. Nongraduates<br />

with a suitable background may be admitted to<br />

the program.

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