Course Description

IS 427Artificial Intelligence (Credits: 3)
 This course will provide an introduction to, and hands-on experience with, several Artificial Intelligence (AI) techniques. It will begin with the concepts and design of knowledge-based systems; the students will identify the issues arising in the design of rule-based systems. Machine learning, particularly neural network topologies will be introduced. The class will also include a discussion of recent advances in AI, including intelligent agents, natural language processing, evolutionary computing and case based reasoning. Prerequisite: IS 425.

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