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 .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
SOLT (Online) Definitions*:	Informational *Extent to which this unit or thesis utilises online information
Result Type:	Grade/Mark

Availability

Year	Location	Period	Internal	Partially Online Internal	Area External	Central External	Fully Online
2008	Miri Sarawak Campus	Semester 1	Y

Area External refers to external course/units run by the School or Department or offered by research.

Central External refers to external and online course/units run through the Curtin Bentley-based Distance Education Area

Partially Online Internal refers to some (a portion of) learning provided by interacting with or downloading pre-packaged material from the Internet but with regular and ongoing participation with a face-to-face component retained. Excludes partially online internal course/units run through the Curtin Bentley-based Distance Education Area which remain Central External

Fully Online refers to the main (larger portion of) mode of learning provided via Internet interaction (including the downloading of pre-packaged material on the Internet). Excludes online course/units run through the Curtin Bentley-based Distance Education Area which remain Central External