Introduction to Artificial Intelligence

3 credits · Undergraduate

(3 hrs Lecture) 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. Note: Students not familiar with Python are strongly encouraged to take ACS-1905(3) or ACS/PHYS-2112(3). Restrictions: Students may not receive credit for this course and ACS-3930 with Introduction to Artificial Intelligence as a topic. 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)].