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Artificial Intelligence (AI) is all about programming computers to perform tasks normally associated with intelligent behaviour. Classical AI programs have played games, proved theorems, discovered patterns in data, planned complex assembly sequences and so on. This unit of study will introduce representations, techniques and architectures used to build intelligent systems. It will explore selected topics such as heuristic search, game playing, machine learning, neural networks and probabilistic reasoning. Students who complete it will have an understanding of some of the fundamental methods and algorithms of AI, and an appreciation of how they can be applied to interesting problems. The unit will involve a practical component in which some simple problems are solved using AI techniques.
Code | COMP3308 |
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Academic unit | Computer Science |
Credit points | 6 |
Prerequisites:
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INFO1110 OR INFO1910 OR ENGG1810 OR DATA1002 |
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Corequisites:
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None |
Prohibitions:
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COMP3608 |
Assumed knowledge:
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Data structures and algorithms as covered in COMP2123 or COMP2823. |
At the completion of this unit, you should be able to:
Unit outlines will be available 2 weeks before the first day of teaching for the relevant session.
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