CSCI 373
Artificial Intelligence
Last Offered Spring 2018
Division III Quantative/Formal Reasoning
This course is not offered in the current catalog or this is a previous listing for a current course.

Class Details

Artificial Intelligence (AI) has become part of everyday life, but what is it, and how does it work? This course introduces theories and computational techniques that serve as a foundation for the study of artificial intelligence. Potential topics include the following: Problem solving by search, Logic, Planning, Constraint satisfaction problems, Uncertainty and probabilistic reasoning, Bayesian networks, and Automated Learning.
The Class: Format: lecture
Limit: 24
Expected: 24
Class#: 3269
Grading: no pass/fail option, no fifth course option
Requirements/Evaluation: several programming projects in the first half of the semester and a larger project spanning most of the second half of the semester; reading responses and discussion; midterm examination
Prerequisites: CSCI 136 and (CSCI 256 or permission of instructor)
Enrollment Preferences: current or expected Computer Science majors
Distributions: Division III Quantative/Formal Reasoning
Attributes: COGS Interdepartmental Electives

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