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Undergraduate |
(IT)
|
Leader: Ann Nicholson
Offered:
Not offered in 2006.
Synopsis: This unit includes history and philosophy of artificial intelligence; intelligent agents; problem solving and search (problem representation, heuristic search, iterative improvement, game playing); knowledge representation and reasoning (extension of material on propositional and first-order logic for artificial intelligence applications, situation calculus, planning, frames and semantic networks); expert systems overview (production systems, certainty factors); reasoning under uncertainty (belief networks compared to other approaches such as fuzzy logic); machine learning (decision trees, neural networks, genetic algorithms).
Assessment: Assignments: 40%; Examination (3 hours): 60%.
Contact Hours: One x 2 hr lecture/week, One x 1 hr tutorial/fortnight
Prerequisites: FIT2004, FIT2014
Prohibitions: CSC2091, CSC3091, CSE2309, CSE3309, DGS3691, GCO3815, GCO7835, RDT3691