Please note - Swinburne University of Technology

list may be augmented to meet student's requirements.
Students will be expected to complete six of the above
electives.
Application procedure
See entry under 'General information'.
loso Master of lnformation Technology
This course is offered in conjunction with the Faculty of
Business.
The Master of lnformation Technology involves one year fulltime
or two years part-time study. Entry is open to graduates
with either an honours degree in computer science, information
technology, information systems or an equivalent. Entry
is also open to holders of graduate diplomas in computer
science, information technology, information systems or
computer systems engineering. Candidates with three year
degrees but substantial industry experience may also apply.
a!
-.,
< The course is designed to provide opportunities for in-depth
4 studies in some areas of contemporary information
p technology. The course is based around the concept of a
5 "cluster", and the subjects in each of the cluster; are listed
below. Clusters are of three types:
Discipline clusters, consisting of four units with a
c2.
m
common theme.
Complementary clusters, consisting of four units that
complement the disciplinary cluster, previous experience
and interests. Complementary cluster units may be
chosen from other clusters, honours degree units or
other suitable sources.
Research and projectkhesis clusters, consisting of a major
piece of work in the area of the discipline cluster and
submission of a thesis. If the area of study is software
engineering or automated systems development this may
be a major group project.
The course consists of completion of two "clusters" of study,
one of which must be a discipline cluster. Currently, we offer
four discipline clusters, in the areas of:
software engineering
automated systems development
human-computer interaction
intelligent systems engineering
The full-time program normally requires attendance for
sixteen hours per week for two semesters and the part-time
course for eight hours per week for four semesters.
Entry is open to applicants who have completed an honours
degree or graduate diploma in computer science,
information technology, computer systems engineering,
information systems or some closely related field. Applicants
with three year degrees with substantial industry experience
may also be eligible.
Students progressing from a graduate diploma would
normally be expected to have maintained a distinction level
average over the course.
Course structure
(1993 syllabus)
Clusters
Software
Engineering
Automated
Systems
Subject
IT904
IT914
IT924
IT954
Title
Credit points
The Software Process 12.5
Systems Analysis 12.5
Object Oriented Design and
Programming 12.5
Real Time Systems 12.5
Advanced Database
Technology 12.5
lnformation System
Requirements 12.5
Development IT964
Resources for lnformation
System Development 12.5
IT974 Systems Strategies 4 12.5
IT984
Automated Development Methods
12.5
Human- IT906 Human-Computer
Computer Interaction 12.5
Interaction IT916 Programming the User
Interface 4 12.5
IT926
Interactive Systems
Development 12.5
IT996 HCI Project 12.5
lntelligent IT909 Foundations of lntelligent
Systems Systems 12.5
Engineering IT91 9 lntelligent Systems
Applications 12.5
IT929
Adaptive lntelligent
Systems 12.5
N999 ISE Project 12.5
Research1 IT903 Software Engineering
Project Project (for 2 semesters) 25.0
IT91 3
Automated Systems
Development Project (for
2 semesters) 25.0
IT993 Research Project (for 2
semesters) 25.0
(IT903 and IT913 may only be chosen in conjunction with
the appropriate cluster.)
Student demand and staff resources will determine the
availability of subjects for study.
Application procedure
See entry under 'General information'.
Z093
Master of Applied Science
(Biomedical Instrumentation)
The Master of Applied Science (Biomedical Instrumentation)
normally involves three years of part-time or one-and-a-half
years of full-time study.
This course offers training in instrumentation and
quantitative techniques coupled with a study of the
physiological processes being monitored. It provides a
detailed study of the design, construction, operation and
commercial production of a wide range of biomedical and
general laboratory instrumentation.
The course also emphasises innovative techniques of
instrumentation and the skills required for the commercial
development of these techniques.
Course structure
Subject
Credit points
Semester 1
Introductory
SP555 Introduction to Biophysical Systems 12.5
Advanced
SP531 Biophysical Sptems and Techniques 12.5
Semester 2
SP532 Clinical Monitoring Techniques 12.5
SP547 Instrument Electronics 12.5
Semester 3
SP534 Neurophysiological Techniques 12.5
SP545 lnstrument Programming and Interfacing 12.5
Semester 4
SP541 Signal and Image Processing 12.5
SP537 Medical Imaging 12.5