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Unit of study_
COMP3608: Introduction to Artificial Intelligence (Adv)
An advanced alternative to COMP3308; covers material at an advanced and challenging level.
| Code | COMP3608 |
|---|---|
| Academic unit | Computer Science |
| Credit points | 6 |
|
Prerequisites:
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(INFO1110 OR INFO1910 OR ENGG1810 OR DATA1002) AND distinction-level results in at least one 2000-level COMP or MATH or SOFT unit |
|---|---|
|
Corequisites:
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None |
| Prohibitions:
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|
COMP3308 |
| 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 outlines
Unit outlines will be available 2 weeks before the first day of teaching for the relevant session.
- Semester 1, 2024 [Normal day] - Camperdown/Darlington, Sydney
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