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, 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, 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

Year	Location	Period	Internal	Partially Online Internal	Area External	Central External	Fully Online
2005	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