Introduction to Artificial Intelligence
Applied Computer Science · 3 hrs Lecture
Offered: Every Year
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ACS-3953 prerequisites
13 courses appear in this chain, up to 4 levels deep. 1 is needed whichever route you take: ACS-2947
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Pre-Calculus Mathematics 40S
Applied Mathematics 40S
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any 3 credit hour Statistics course at or above the 1000 level with a minimum grade of C
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Where ACS-3953 counts
Required by 5 programs:
Read from the departments' own calendar pages, where 50 of 208 programs are only partly machine-readable, so treat these as a minimum rather than the full list. Confirm with an academic advisor.
Description
This course introduces the core concepts of Artificial Intelligence (AI) and practical implementation using Python. Students explore AI agents, heuristic and local search strategies, constraint satisfaction problems, adversarial search in games, and logical agents. The curriculum emphasizes solving real-world problems such as optimization, game strategy, and logical reasoning through hands-on projects and examples. By the end of the course, participants have a solid foundation in AI principles and the Python skills needed to develop intelligent solutions, preparing them for advanced study or careers in AI and related fields.
Requisite courses
ACS-2947, one of MATH-1101, MATH-1103, MATH-1104, MATH-1201, MATH-1401, and any 3 credit hour Statistics course at or above the 1000 level with a minimum grade of C [prerequisite(s)].
Restrictions
Students may not receive credit for this course and ACS-3930 with Introduction to Artificial Intelligence as a topic.
Note
Students not familiar with Python are strongly encouraged to take ACS-1905(3) or ACS/PHYS-2112(3).
From the 2026-27 undergraduate calendar. Always verify details on WebAdvisor or with an academic advisor before registering.