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Course Description
| CS 251 - Artificial Intelligence | ||
| Instructor(s): Robert Snapp , Xindong Wu |
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| Description: Introduction to methods for realizing intelligent behavior in computers. Knowledge representation, planning, and learning. Selected applications such as natural language understanding and vision. |
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| Prerequisites: CS 103 (programming languages), CS 104 (data structures), STAT 153 (probability & statistics) or equivalent. |
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| Methodologies: Agent-based simulation / cellular automata, Evolutionary/adaptive computing/simulation, Pattern recognition/classification/data mining |
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| Domains: Not specific to any particular application domain |
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| Frequency: Every other year | ||
| Credits: 3 | ||
| Return to Courses page | ||
