CS5222
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CS 5222 - Artificial Intelligence (4 Cr.)
Course description
Principles and programming methods of artificial intelligence. Knowledge representation methods, state space search strategies, and use of logic for problem solving. Applications chosen from among expert systems, planning, natural language understanding, uncertainty reasoning, machine learning, and robotics. Lectures and labs will utilize suitable high-level languages (e.g., Python or Lisp).
prereq: grad student, 2511, (2531 or 3512 or MATH 3355) or instructor consent, a grade of C- or better is required in all prerequisite courses
prereq: grad student, 2511, (2531 or 3512 or MATH 3355) or instructor consent, a grade of C- or better is required in all prerequisite courses
Minimum credits
4
Maximum credits
4
Is this course repeatable?
No
Grading basis
AFV - A-F or Audit
Laboratory
Lecture
Requirements
010573
Typically offered term(s)
Every Fall & Spring