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Institution:
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Seattle University
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Subject:
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Description:
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Principal ideas and developments in artificial intelligence, including knowledge representation, goal-directed problem solving, optimal and sub-optimal search, theorem proving, pattern matching. Additional topics may include expert systems, neural nets, simulated annealing, genetic algorithms. Prerequisite: C (2.00) or better in CSSE 310 and CSSE 380.
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Credits:
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5.00
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Credit Hours:
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Prerequisites:
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Corequisites:
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Exclusions:
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Level:
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Instructional Type:
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Lecture
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Notes:
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Additional Information:
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Historical Version(s):
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Institution Website:
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Phone Number:
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(206) 296-6000
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Regional Accreditation:
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Northwest Commission on Colleges and Universities
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Calendar System:
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Quarter
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