12858 (v.3) Computer Technology 403

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Area:	Department of Electrical and Computer Engineering
Contact Hours:	4.0
Credits:	25.0
Lecture:	1 x 2 Hours Weekly
Tutorial:	1 x 1 Hours Fortnightly
Laboratory:	1 x 3 Hours Fortnightly
Prerequisite(s):	12855 (v.3) Embedded Software Design 304 or any previous version
Fundamental issues in intelligent systems - History of artificial intelligence, Fundamental definitions, modelling the world, the role of heuristics. Search and Constraint Satisfaction - Problem spaces, search techniques, constraint satisfaction. Knowledge Representation and Reasoning - review of proposition and predicate logic, resolution and theorem proving, probabilistic reasoning, Bayes theorem. Advanced Search - genetic algorithms, simulated annealing, local search. Machine Learning and Neural Networks - definitionand examples of machine learning, supervised learning, learning decision trees, learning neural networks, learning theory, the problem of overfitting, unsupervised learning. Robotics - overview, state of the art, planning vs reactive control, uncertainty in control, sensing, world models, configuation space, planning, sensing, robot programming, navigation and control. Data Mining - the usefulness of data mining, associative and sequential patterns, data clustering, market basket analysis, data cleaning, data visualisation.
Year Location Period Internal Area External Central External 2003 Bentley Campus Semester 1 Y