Listed in: Computer Science, as COSC-241
Scott P. Alfeld (Section 01)
An introduction to the ideas and techniques that allow computers to perform intelligently. The course will discuss methods of adversarial game playing and of solving general problems using heuristic search. It will also discuss the design of agents that learn either from experience or from a provided dataset. The course will cover both theoretical aspects of AI and practical considerations such as noisy sensor readings. Three class meetings per week. Offered in alternate years.
Requisite: COSC 211. Limited to 50 students. Fall semester: Professor Alfeld.
How to handle overenrollment: Priority to majors
Students who enroll in this course will likely encounter and be expected to engage in the following intellectual skills, modes of learning, and assessment: (none specified)
Tu 11:30 AM - 12:50 PM SCCE A011
Th 11:30 AM - 12:50 PM SCCE A011
This is preliminary information about books for this course. Please contact your instructor or the Academic Coordinator for the department, before attempting to purchase these books.
|Artificial Intelligence: A Modern Approach (4th Edition)||Pearson, 2020||Stuart Russell and Peter Norvig||TBD|