CSCI 373
Artificial Intelligence
Fall 2013
Division III
Quantitative/Formal Reasoning
This is not the current course catalog
Class Details
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.
The Class:
Format: lecture/laboratory
Limit: none
Expected: 20
Class#: 1291
Grading: yes pass/fail option, yes fifth course option
Limit: none
Expected: 20
Class#: 1291
Grading: yes pass/fail option, yes fifth course option
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
Prerequisites:
CSCI 136 and MATH 200 (formerly 251)
Unit Notes:
project course
Distributions:
Division III
Quantitative/Formal Reasoning
Attributes:
COGS Interdepartmental Electives
Class Grid
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HEADERS
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CLASSESColumn header 2DREQColumn header 3INSTRUCTORSColumn header 4TIMESColumn header 5CLASS#
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CSCI 373 - 01 (F) LEC Artificial Intelligence
CSCI 373 - 01 (F) LEC Artificial IntelligenceDivision III Quantitative/Formal ReasoningMWF 10:00 am - 10:50 am
Schapiro Hall 1291291
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