About
The AI Minor is designed to equip students with foundational knowledge in artificial intelligence and machine learning principles. The coursework is structured to provide students with the essential knowledge and core skills needed to apply AI and machine learning techniques to address a wide range of practical problems. Students completing the minor will gain a comprehensive understanding of AI and machine learning principles, methodologies, and algorithms, equipping them with the ability to create AI-driven solutions for real-world challenges. This minor is ideal for undergraduates with solid quantitative backgrounds eager to learn and apply AI and machine learning fundamentals.
The Artificial Intelligence minor is available to majors in all disciplines. It consists of at least 9 credit hours of core AI courses and 6 credit hours of elective AI-related courses. Students majoring in one of the computing disciplines such as computer science, computer engineering, software engineering, and data science, will find that their coursework matches well with the prerequisites and courses required for the minor.
To take the courses in the minor, students would need Com S 3110 as a prerequisite, a course required by all computing majors.
Core Courses (9 credits): PHIL 3430, COMS 4720, and COMS 4740
Elective Courses (at least 6 credits): COMS 4350, COMS 4760, COMS 4770, CPRE 4190, EE 4240, EE 4250, ME 4250, ME 4560
Applied AI Minor
For students who are interested in learning how to use no-code or low-code AI tools effectively and ethically in their chosen field, there is the Applied AI minor.