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ABOUT THE COURSE :
The course introduces the variety of concepts in the field of artificial intelligence. It discusses the philosophy of AI, and how to model a new problem as an AI problem. It describes a variety of models such as search, logic, Bayes nets, and MDPs, which can be used to model a new problem. It also teaches many first algorithms to solve each formulation. The course prepares a student to take a variety of focused, advanced courses in various subfields of AI.
INTENDED AUDIENCE : Undergraduate students in computer sciencePREREQUISITES : Data Structures, ProbabilityINDUSTRY SUPPORT : Most software companies
The course introduces the variety of concepts in the field of artificial intelligence. It discusses the philosophy of AI, and how to model a new problem as an AI problem. It describes a variety of models such as search, logic, Bayes nets, and MDPs, which can be used to model a new problem. It also teaches many first algorithms to solve each formulation. The course prepares a student to take a variety of focused, advanced courses in various subfields of AI.
INTENDED AUDIENCE : Undergraduate students in computer sciencePREREQUISITES : Data Structures, ProbabilityINDUSTRY SUPPORT : Most software companies
