Area: |
Department of Computing | ||||||||||||||||||||||||||||||||
Credits: |
25.0 | ||||||||||||||||||||||||||||||||
Contact Hours: |
3.0 | ||||||||||||||||||||||||||||||||
** 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 | ||||||||||||||||||||||||||||||||
Practical: |
1 x 1 Hours Weekly | ||||||||||||||||||||||||||||||||
Prerequisite(s): |
10163 (v.9) Introduction to Programming Environments 152 or any previous version AND 10926 (v.5) Mathematics 103 or any previous version OR 7062 (v.6) Mathematics 101 or any previous version OR 307535 (v.2) Engineering Mathematics 110 or any previous version |
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Syllabus: |
Artificial Intelligence, its main problems and approaches. Familiarity with symbolic representations, search methods, first-order logics and their applications in reasoning and learning tasks. Familiarity with numerical techniques in AI such as probabilistic networks and their applications. | ||||||||||||||||||||||||||||||||
** 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: | 020119 Artificial Intelligence | ||||||||||||||||||||||||||||||||
Funding Cluster: | 06 - Computing, Built Environment, Health | ||||||||||||||||||||||||||||||||
SOLT (Online) Definitions*: | Informational *Extent to which this unit or thesis utilises online information | ||||||||||||||||||||||||||||||||
Result Type: | Grade/Mark | ||||||||||||||||||||||||||||||||
Availability |
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