CSCI 373
Artificial Intelligence
Spring 2023
(also offered Fall 2022)
Division III
Q Quantitative/Formal Reasoning
This is not the current course catalog
Class Details
Artificial Intelligence (AI) has become part of everyday life, but what is it, and how does it work? This course introduces theories and computational techniques that serve as a foundation for the study of artificial intelligence. Potential topics include the following: Problem solving by search, Logic, Planning, Constraint satisfaction problems, Reasoning under uncertainty, Probabilistic graphical models, and Automated Learning.
The Class:
Format: lecture
Limit: 24
Expected: 24
Class#: 3295
Grading: no pass/fail option, no fifth course option
Limit: 24
Expected: 24
Class#: 3295
Grading: no pass/fail option, no fifth course option
Requirements/Evaluation:
Evaluation based on assignments, projects, and exams.
Prerequisites:
CSCI 136 and (CSCI 256 or permission of instructor)
Enrollment Preferences:
current or expected Computer Science majors
Distributions:
Divison III
Quantitative/Formal Reasoning
QFR Notes:
The course will consist of programming assignments and problem sets in which quantitative/formal reasoning skills are practiced and evaluated.
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 (S) LEC Artificial Intelligence
CSCI 373 - 01 (S) LEC Artificial IntelligenceDivision III Q Quantitative/Formal ReasoningMWF 9:00 am - 9:50 am
Schow Library Classroom 030B3295