Courses Handbook 2007 - [ Archived ]

12858 (v.3) Computer Technology 403

Area:

 Department of Electrical and Computer Engineering

Credits:

 25.0

Contact Hours:

 4.0
 
** The tuition pattern below provides details of the types of classes and their duration. This is to be used as a guide only. For more precise information please check your unit outline. **
 

Lecture:

 1 x 2 Hours Weekly

Tutorial:

 1 x 0.5 Hours Weekly

Laboratory:

 1 x 1.5 Hours Weekly

Prerequisite(s):

 12855 (v.4) Embedded Systems Engineering 301 or any previous version
 

Syllabus:

 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 and Bayes theorem. Advanced search - genetic algorithms, simulated annealing, local search. Machine learning and neural networks - definition and examples of machine learning, supervised learning, learning decision trees, learning neural networks, learning theory, the problem of overfitting and unsupervised learning. Robotics - overview, state of the art, planning versus reactivecontrol, uncertainty in control, sensing, world models, configuration 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.
 
** To ensure that the most up-to-date information about unit references, texts and outcomes appears, they will be provided in your unit outline prior to commencement. **
 

Field of Education:

 031305 Computer Engineering

Funding Cluster:

 08 - Engineering, Science, Surveying

SOLT (Online) Definitions*:

 Informational
*Extent to which this unit or thesis utilises online information

Result Type:

 Grade/Mark

Availability
Availability Information has not been provided by the respective School or Area. Prospective students should contact the School or Area listed above for further information.

 
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