Objectives and Outcomes
Information
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Instructor: Amarda
Shehu amarda\AT\gmu.edu
TA: Patel Rajesh rpatel17\AT\gmu.edu
Class Place and Time: Innovation Hall 136, W 4:30-7:10 pm
TA Office Hours: ENGR 5321, W 2:30-4:30 pm
Instructor Office Hours: ENGR #4452, M 2:30-4:30 pm
Outcomes
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At the end of this course, students will have been familiarized with
uninformed, informed, heuristic, and adversarial search, constraint
satisfaction, knowledge representation and first-order logic, planning
and knowledge representation, reasoning in the presence of
uncertainty, learning, and natural language processing. Students will
also have been exposed to a variety of modern applications, such as
self-driving cars, face and handwriting recognizers, game playing
programs, package delivery robots, schedulers, spam detectors,
named-entity recognizers, and speech recognition systems. Students
will also get hands-on coding experience on various interesting
problems.