Please note - Swinburne University of Technology

Subject description
Concepts - independence (application, device, user);
programming - menus, command-based systems, data
input, giving information back to the user, screen
techniques, using colour, direct manipulation systems and
environments, event based programming, Windows and
UIMS, help systems. handling and avoiding errors; tools -
UNlX PC and Macintosh platforms, function libraries, special
purpose programming languages, interactive editors,
application specific user interface programming languages,
user interface management systems.
Textbooks
To be advised
References
To be advised
IT91 9 Intelligent Systems Applications
12.5 credit points
No. of hours per week: four hours
Instruction: a combination of lectures, tutorials
and laboratory sessions
Assessment: assignments and a final examination
A unit of the intelligent systems engineering cluster of the
Master of lnformation Technology.
Subject aims
To discuss the position of expert systems in the world of
artificial intelligence, and the development strategy of expert
systems; to recognise and analyse commercial problems to
which expert systems may generate a solution; to discuss the
nature of expertise and problems and strategies of
knowledge acquisition, including methods of automatic and
semi-automatic knowledge acquisition.
Subject description
Expert systems - problem solving strategies, human
computer interaction, extensibility; knowledge acquisition -
nature of expertise, handcrafted knowledge transfer,
automatic and semi-automatic knowledge acquisition; expert
systems applications - criteria for application selection,
areas of success in the Australian context, the current
position of expert systems in the world scene.
Textbooks
To be advised
IT924 Object-Oriented Design and
Programming
12.5 credit points
No. of hours per week: two hours in semester
two
Instruction: lecture, workshop and laboratory
sessions
Assessment: assignment and examination
A subject in the software engineering cluster of the Master
of lnformation Technology.
Subject aims
The aim is to provide a comprehensive coverage of objectoriented
systems design methods, and of techniques for
obiect-oriented ~roarammina. In addition, software
engineering princiges supp&ed by contemporary objectoriented
programming language will be explored.
Subject description
Methodologies for object-oriented design; design component
of object modelling technique; responsibility driven design;
mechanisms for object-oriented programming: inheritance
(single and multiple), dynamic binding, typing issues.
programming with generics/templates, exception handling,
assertions; programming environments for object-oriented
development; object-oriented programming language
comparisons: Smalltalk, Eiffel, C + +.
Textbooks
To be advised
IT926
Interactive Systems Development
1 2.5 credit points
No. of hours per week: two hours
Instuction: a combination of lectures, seminars
and laboratory sessions
Assessment: two assignments and a final
examination
A unit of the human-computer interaction (HCI) cluster of
the Master of lnformation Technology.
Subject aims
To introduce students to the concepts and methodologies
relevant to the systematic analysis and design of interactive
technology.
Subject description
The role of HCI in systems development; HCI and systems
methodologies; approaches to user involvement in
development; tasklrequirements analysis; principles,
guidelines, standards and rules; specification techniques:
formal methods in HCI; design - prototyping, wizard of Oz,
storyboarding, animation and video, rapid prototype
implementation; implementation - fundamental concepts
(independence, reuseability), interaction libraries, dialogue
control structure models; evaluation techniques - empirical
evaluation, predictive modelling; user interface management
systems; user guidance integrated into user interfaces.
Textbooks
To be advised
rr929
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
A unit of the Intelligent Systems Engineering cluster of the
Master of lnformation Technology.
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 developrhent; 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 systerns?
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 machines: genetic algorithms and classifier
systems; hybrid systems - interactions between neural nets
and expert systems, deriving rules from neural nets,
integrated systems.
Text books
To be advised