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Class number:
3028
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Title: Artificial Intelligence |
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Department: Computer Science |
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Career: Undergraduate |
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Component: Lecture |
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Session: Regular |
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Instructor's Permission Required: No |
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Grading Basis: Regular |
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Units: 1.00 |
| Enrollment limited to 24 |
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Current enrollment: 27 |
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Available seats: 0 |
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Start date: Tuesday, January 21, 2025 |
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End date: Friday, May 9, 2025 |
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Mode of Instruction: In Person |
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Schedule: TR: 10:50AM-12:05PM, LIB - B03 |
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Instructor(s): Kousen, Kenneth |
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Prerequisite(s): Prerequisite: C- or better in Computer Science 215L and Computer Science 203 (or concurrent enrollment in 203). |
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Distribution Requirement: Meets Numerical & Symbolic Reasoning Requirement |
Course Description:
A study of basic principles and research methods in artificial intelligence. The course exposes students to selected topics in the field including pattern recognition, problem solving, theorem proving, knowledge representation, and natural language understanding by computers. The course will draw on recent advances made by cognitive scientists in each of these applications. Students are expected to study the theoretical background of an application. They will also complete several programming and simulation assignments during the semester. |