Please note - Swinburne University of Technology
Please note - Swinburne University of Technology
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.