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12858 (v.3) Computer Technology 403
| Area: |
Department of Electrical and Computer Engineering |
| Credits: |
25.0 |
| Contact Hours: |
4.0 |
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| ** 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. ** |
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| 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
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| 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. |
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| ** 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. ** |
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| Field of Education: | 31305 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 |
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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 |
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