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 Bentley 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