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Unit of study_
COMP3308: Introduction to Artificial Intelligence
2024 unit information
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.
Unit details and rules
Managing faculty or University school:
Computer Science
| Code | COMP3308 |
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| Academic unit | Computer Science |
| Credit points | 6 |
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Prerequisites:
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INFO1110 OR INFO1910 OR ENGG1801 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:
- LO1. Formulate problem space description, select and apply suitable search algorithms and analyse the issues involved
- LO2. Understand and apply minimax search and alpha-beta pruning in game playing
- LO3. Understand the basic principles and analyse the strengths, weaknesses and applicability of some of the main AI algorithms for supervised learning, unsupervised learning and probabilistic reasoning
- LO4. Gain practical experience in designing, implementing and evaluating AI algorithms
- LO5. Present and interpret data and information in verbal and written form
- LO6. Appreciate some of the main ideas and views in AI, achievements and shortcomings of AI and the links between AI and other computer science areas
Unit availability
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Modes of attendance (MoA)
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