Please note - Swinburne University of Technology

54926 Interactive Systems Development
12.5 credit points
No. of hours per week: two hours
Instruction: a combination of lectures, seminars
and laboratory sessions
Assessment: two assignments and a final
examination
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 a d video, rapid prototype
imalementation: irn~lementation - fundamental concepts
(independence, 'reuseabi~it~), interaction libraries, dialogue
control structure models; evaluation techniques - empirical
evaluation, predictive modelling; user interface management
systems; user guidance integrated into user interfaces.
Textbooks
9 To be advised
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q ~ ~ 9 2 9 Adaptive Intelligent Systems
2
r~ Subject aims
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
$. To provide an appreciation of the general concerns and
approaches in research into the development of machine
learning systems; to investigate various topics and
u methodologies from both the symbolic and connectionist
. paradigms; to give students practical experience with artificial
'D,
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 machines: genetic algorithms and classifier
systems; hybrid systems - interactions between neural nets
and expert systems, deriving rules from neural nets,
integrated systems.
Textbooks
To be advised
54934 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
54944 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
(proabably HP Unix), Objectstore OODBMs (Borland C + +
with Microsoft Windows), Versant (C and/or 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