Please note - Swinburne University of Technology

Applicants who do not satisfy the above requirements may
be considered on the basis of factors such as employment,
educational background, and in some cases, an interview.
Syllabus change
The syllabus for this program changed in 1993. All students
who commenced in or before 1992 will complete the 1991
syllabus and all those students commencing later than 1993
will complete the 1993 syllabus. The 1991 and the 1993
syllabus is noted below.
Course structure
(1991 syllabus for students who commenced no later
than 1992)
Year 3
Semester 5
Credit points
SM504 Project Management B 5.0
SM525 Operations Research 5 10.0
SM526 Applied Statistics 5 10.0
54305 Database 10.0
Computer Science Elective 1
One subject choren from:
P SQ500 Concurrent Programming
10.0
n_
5. 54502 UNlX Systems Programming 10.0
Q
Complementary Studies
One subject chosen from:
3 85626 Behaviour in Organisations 5.0
8 SM632 Social Change in the Modern World 5.0
Semester 6
SM608 Industry Based Learning 50.0
Year 4
Semester 7
SM708 Industry Based learning 50.0
Semester 8
SM609 Mathematics Project 7.5
SM625 Operations Research 6 7.5
SM626 Applied Statistics 6 7.5
54407 Data Communication 10.0
59613A Computer Science Team Project 7.5
Computer Science Elective 2
One subject chosen from:
54306 Human Computer Interaction 10.0
54411 COBOL 10.0
SQ601 Translator Engineering 10.0
SQ604 Subject Oriented Programming 10.0
50606 Computing in the Human Context 10.0
59618 Computer Graphics 10.0
59619 Expefl Systems 10.0
(1993 syllabus for students who commenced in 1993 or later)
Year 1
Semester 1
Credit points
SM131 Communication Skills 10.0
SM180 Mathematics 1 10.0
SM185 Applied Statistics 1 10.0
SQ110 lntroduction to Computer Problem Solving 10.0
SQ117 Introduction to Computer Systems 10.0
85513 Semester 2
Business Studies - Accounting 10.0
SM180 Mathematics 1 10.0
SM288
Operations Research: An lntroduction to
Problem Solving 10.0
5Q214 Formal Methods 10.0
SQ210 Programming in C 10.0
Year 2
Semester 1
SM383 Mathematics 2 10.0
SM388 Forecasting and Regression 10.0
SQ310 Advanced C Programming 10.0
54305 Database 10.0
SQ314 Software EngineeringISystems Analysis 10.0
Semester 2
SM404 Project Management A 10.0
SM387 Intro. to Optimisation 10.0
SM484 Experimental Design and Multiple Regression 10.0
59407 Data Communications 10.0
Computer Science elective 10.0
Year 3
Semester I
SM504 Project Management B 5.0
SM525 Operations Research 10.0
SM526 Applied Statistics 10.0
Two Computer Science electives each 10.0
Complementary Studies elective 5.0
Semester 2
SM608 Industry Based Learning 50.0
Year 4
Semester 1
SM708 Industry Based Learning 50.0
Semester 2
SM625 Operations Research 6 7.5
SM626 Applied Statistics 6 7.5
Two Computer Science electives each 10.0
SQ613A Computer Science Team Project 7.5
OR
SM609 Mathematics Project 7.5
Note: From second year onwards the actual subjects to
be taken in mathematics and as computer science
electives will be selected from a range of subjects. Details
will be provided to students after enrolment.
Changes to the syllabus may be made in 1993. Details will
be available on enrolment.
Application procedure
See entry under 'General information'.
zo61
Medical Biophysics and
Instrumentation
VTAC Course Code - SHSl
This program is ulnique to Swinburne and combines major
studies in medical biophysics with scientific instrumentation.
It is designed to produce research and development staff for
hospitals and industry. Medical biophysics emphasises an
understanding of human physiological processes, relevant
aspects of pathophysiology, and biomedical instrumentation.
It bridges the gap between medicine and the physical
sciences.
Medical biophysics includes the study and monitoring of
such systems as membranes, nerves, muscles, the heart and
circulation, the kidneys, respiration, and the brain.
Biomechanics, sports science and the basis of physical
therapy are also included.
Medical biophysics is complemented by the study of
scientific instrumentation which provides students with a
sound basis in measurement and instrumentation principles
and their use in the development of instrumentation systems
for various areas of applied science and technology.
The course includes studies of both computer-based and
non-computer-based instruments, used in isolation or as
systems, and their applications to imaging, nuclear, optical
and general scientific and industrial laboratories. Emphasis is
on electronic techniques, analogue and digital signal
processing and on the basic interfacing of transducers with
microprocessors and computers.