No offerings have been identified for this subject in 2015
ITC528 Artificial Intelligence (8)
Abstract
Artificial Intelligence is the study of the design of intelligent agents. This subject develops and links the theoretical and experimental aspects of the discipline. The subject explores the specification and design of intelligent agents, implementing, testing and improving real software systems for many challenging application domains. The application areas include: delivery robots, diagnostic assistants and information slaves. This subject will serve as an introduction to the more specialised subjects concerning neural networks, genetic algorithms, expert systems, machine learning and machine vision. |
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+ Subject Availability Modes and Location
Continuing students should consult the SAL for current offering details prior to contacting their course coordinator: ITC528
Where differences exist between the handbook and the SAL, the SAL should be taken as containing the correct subject offering details.
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Subject information| Duration | Grading System | School: |
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| One session | HD/FL | School of Computing and Mathematics |
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| Incompatible subject(s) |
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| ITC364 |
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Learning OutcomesUpon successful completion of this subject, students should:
* be able to describe the basic components of an intelligent agent;
* be able to apply the First-Order Logic Approach to the fundamentals of computational intelligence;
* be able to describe how computational intelligence concepts are employed in various applications;
* be able to write simple computational intelligence programs, and read more complicated ones;
* be able to describe the components of an Expert system;
* be able to discuss the issues associated with agent learning. |
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SyllabusThe subject will cover the following topics:
. Introduction to computational intelligence.
. Problem-solving by Searching
. Logical Agents and First-Order Logic.
. Planning.
. Representing knowledge.
. Uncertain knowledge and reasoning.
. Learning.
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The information contained in the 2015 CSU Handbook was accurate at the date of publication: 01 October 2015. The University reserves the right to vary the information at any time without notice.
