Please note - Swinburne University of Technology

Year 3
Semester 1
Elective Unit (Five) 7.5
SC757 Research Project 15.0
Semester 2
SC737 Research Skills, Part 2 5.0
Elective Unit (Six) 7.5
SC757 Research Project 15.0
Electives
The elective subjects are to be chosen from the following:
SC739 Colloid Rheology 7.5
SC740 Chemistry of Surface Coatings 7.5
SC741 Physical Properties of Surface Coatings 7.5
SC742 Corrosion and Protection of Metals 7.5
SC743 Food Colloids 7.5
SC744 Chemistry of Surfactants 7.5
SC745 Solution Behaviour of Surfactants 7.5
SC746 Advanced DLVO Theory 7.5
SC747 Adsorption from Solution 7.5
SC748 Water Treatment Technology 7.5
SC749 Polymer Flocculation 7.5
SC750 Detergency 7.5
SC751 Emulsion Technology 7.5
SC752 Polymer Stabilisation Technology 7.5
SC753 Thin Films and Foams 7.5
SC754 Light Scattering and Concentrated Dispersions 7.5
SC755 Surface Chemistry of Clays and Coal 7.5
SC756 Mineral Processing 7.5
These subjects will not all be offered in any one year. Their
availability will be determined by student demand and the list
may be augmented to meet students' requirements. Students
will be expected to complete six of the above electives.
Application procedure
See entry under 'General Divisional information - Applied
Science'.
1090 Master of lnformation Technology
This course is offered in conjunction with the Division of
Business, Humanities and Social Science.
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.
The course is designed to provide opportunities for in-depth
studies in some areas of contemporary information technology.
The course is based around the concept of a 'cluster', and the
subjects in each of the clusters are listed below. Clusters are of
three types:
Discipline clusters, consisting of four subjects with a
common theme.
Complementary clusters, consisting of four subjects that
com~lement the disciplinary cluster, previous experience
and interests. ~om~lemen~ary cluster subjects may be
chosen from other clusters, honours degree subjects or
other suitable sources.
Research and projectlthesis 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 are offered 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 Subject Title Credit points
Software IT904 The Software Process 12.5
Engineering IT914 Systems Analysis 12 5
IT924 Object Oriented Design and
Programming 12 5
IT934 Real Time Systems 12 5
IT944 Advanced Database
Technology 12 5
Automated IT954 lnformation System
Systems Requirements 12.5
Development IT964 Resources for lnformation
Svstem Develo~ment 12.5
IT974 Systems Strategies 4 12.5
IT984
Automated Development Methods
12.5
Human- IT906 Human-Computer
Computer Interaction 12.5
lnteraction 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 IT919 Intelligent Systems
Applications 12.5
IT929 Adaptive lntelligent
Systems
12 S
IT999 ISE Project 12.5
Research/ IT903 Software Engineering
Project Project (for 2 semesters) 25.0
IT913
Automated Systems
Development Project (for
2 semesters) 25.0
IT993 Research Project (for 2
semesters) 25.0
(IT903 andlT913 may only be chosen in conjunction with the
appropriate cluster.)