Please note - Swinburne University of Technology

1~929 Adaptive Intelligent Systems
12.5 credit points
No. of hours per week: two hours
Instruction: a combination of lectures, tutorials and
laboratory sessions
Assessment: assignments and a final examination
Subject aims
To provide an appreciation of the general concerns and
approaches in research into the development of machine
learning systems; to investigate various topics and
methodologies from both the symbolic and connectionist
paradigms; to give students practical experience with artificial
neural network development; to investigate hybrid systems as
a means of overcoming some of the limitations of expert
system technology.
Subject description
A general framework - why develop learning systems?
Categories of learning, the physical symbol system hypothesis;
a symbolic stream consisting of such topics as: classification
and conceptual clustering, generalisation and discrimination,
learning about control and metaknowledge, chunking,
discovery; a connectionist (neural network) stream consisting
of such topics as: back propagation, competitive learning,
counter propagation, 'behaviourally' derived units, Boltzmann
12 machines: genetic algorithms and classifier systems; hybrid
systems
:
- interactions between neural nets and expert
systems, deriving rules from neural nets, integrated systems.
2. Textbooks
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1~934 Real Time Systems
12.5 credit points
No. of hours per week: two hours
Instruction: a combination of lectures and tutorials
Assessment: individual essay, individual
programming assignment, team maintenance
exercise, and a final examination
Subject aims
To study contemporary developments in real-time software and
systems.
Subject description
Models of concurrent programming: real-time programming:
programming distributed systems; development
methodologies.
Textbooks
To be advised.
1~944 Advanced Database Technology
12.5 credit points
No. of hours per week: two hours
Instruction: a combination of lectures, tutorials and
laboratory work
Assessment: assignments and a final examination
Subject aims
To provide an understanding, through theory and practice, of
some advanced topics in database management systems with
a focus on object-oriented technology.
Subject description
Topics covered will be selected from transaction management,
distributed databases, query optimisation, performance
analysis, advanced data modelling, database security, and
object-oriented databases. About 50% of the course will be
associated with object-oriented technology.
Practical work will include work with some of: Oracle RDBMS
(probably HP Unix), Objectstore OODBMS (Borland C + +with
Microsoft Windows), Versant (C andlor C + + probably with
Sun4 Unix) and 3GL program development using C (or C + +)
and the Clndex database development package (any platform).
We make no assumptions about prior experience with C or C +
+, but students will be expected to be proficient in
programming, data structures and have some basic database
knowledge.
Textbooks
To be advised.
1~954 Information Systems Requirements
12.5 credit points
No. of hours per week: two hours
Instruction: a combination of lectures, tutorials
and seminars
Assessment: assignment and project work
Subject aims
To develop an appreciation of the information systems
requirements of organisations; to introduce a range of
approaches to requirements analysis and specification; to
demonstrate the role of Computer Aided Software Engineering
(CASE) software in analysis, planning and specification.
Subject description
Organisations and information technology; types of systems;
information systems strategies; analysis methods; reverse
engineering, design recovery; systems planning; specification
techniques; automated support for requirements analysis.
Textbooks
To be advised.