CAI 270 : Capstone Course in Applied AI
The capstone course in applied AI is an integrative, project-based learning experience that challenges students to apply their acquired knowledge and skills to realworld problems, emphasizing hands-on experience, critical thinking, and innovative solution development. Students will work individually or in teams to identify a problem area where AI technologies have an impact. Students will design, develop, and implement a comprehensive solution incorporating various aspects of machine learning, NLP, computer vision, and/or data analytics. The course culminates with a student presentation to peers, faculty, and industry professionals. Four lecture hours per week. Prerequisite: CAI 120, CAI 121, CAI 122, and CAI 123 or permission of the instructor. An instruction support fee applies. General competencies met: Information Literacy. High Impact Practice: Capstone. 4 Credits.
Course Outcomes
1. Solve business problems by integrating principles of machine learning.
2. Conduct research to support the design and development of the capstone project.
3. Demonstrate effective project management.
4. Evaluate the ethical implications of AI solutions.