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What you'll be able to do (official learning outcomes)
Allied Health Sciences 315 New
explain an overview of the field of artificial intelligence, its background, history, fundamental issues, challenges and main directions
interpret and formulate knowledge representations in the form of logic expressions
explain basic concepts, methods and theories for search
account for classical planning of proactive agents
describe methods and theories for reactive agents, architectures based on subsumption, and potential fields
Course contents
This is an introductory course on Artificial Intelligence. The topics include; Overview: foundations, scope, problems, and approaches of AI. Intelligent agents: reactive, deliberative, goal-driven, utility-driven, and learning agents; Artificial Intelligence programming techniques.
Source: the Nigerian Universities Commission (NUC) Core Curriculum and Minimum Academic Standards (CCMAS). StudyOps loads this syllabus automatically when you study COS 304.