CSCI 373
Artificial Intelligence
Last Offered Spring 2023
Division III Quantitative/Formal Reasoning
This course is not offered in the current 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
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: Division 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

Updated 10:42 am

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