CSCI 373 Fall 2013 Artificial Intelligence (Q)

This course introduces fundamental techniques in the field of Artificial Intelligence, which is concerned with the ability to create machines that perform tasks requiring "intelligence." The course covers methods for knowledge representation, reasoning, problem solving, and learning. It then explores those further by surveying current applications in selected areas such as game playing, and natural language processing.
Class Format: lecture/laboratory
Requirements/Evaluation: several programming projects in the first half of the semester and a larger project spanning most of the second half account for 70% of the student's final grade; midterm examination and a 6-page survey paper account for remainder of student's grade
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Additional Info2:
Prerequisites: CSCI 136 and MATH 200 (formerly 251)
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Department Notes: project course
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Distribution Notes:
Divisional Attributes: Division III,Quantitative and Formal Reasoning
Other Attributes: COGS Interdepartmental Electives
Enrollment Limit: none
Expected Enrollment: 20
Class Number: 1291
CLASSES ATTR INSTRUCTORS TIMES CLASS NUMBER
CSCI373-01(F) LEC Artificial Intelligence (Q) Division 3: Science and MathematicsQuantitative and Formal Reasoning Andrea Danyluk
MWF 10:00 AM-10:50 AM Schapiro Hall 129 1291
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