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12858 (v.3) Computer Technology 403
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
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| 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. |
Availability
| Year | Location | Period | Internal | Area External | Central External | | 2004 | Bentley Campus | Semester 1 | Y | | |
Area
External | refers to external course/units run by the School or Department, offered online or through Web CT, or offered by research. |
Central
External | refers to external course/units run through the Curtin Bentley-based Distance Education Area |
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