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Institution:
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Rochester Institute of Technology
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Subject:
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Description:
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The course will start with the history of artifi cial intelligence and its development over the years. This course will explore a variety of artifi cial intelligence techniques, and their applications and limitations. Some of the AI techniques to be covered in this course are intelligent agents, problem-solving, knowledge and reasoning, uncertainty, decision making, learning (Neural networks and Bayesian networks), reinforcement learning, swarm intelligence, Genetic algorithms, particle swarm optimization, applications in robotics, controls, and communications. Students are expected to have any of the following programming skills: C/C++, MATLAB, Java, or any other high level programming language. Class 4, Credit 4
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Credits:
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4.00
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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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(585) 475-2411
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Regional Accreditation:
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Middle States Association of Colleges and Schools
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Calendar System:
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Quarter
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