AI Capstone II: Project Implementation

Catalog description

Artificial Intelligence (AI) is an interdisciplinary field concerned with the study of computational models of intelligence; design, implementation and application of intelligent systems/agents; exploring the design space of intelligent systems/agents; and ultimately, augmenting and extending human intellect and abilities. AI involves both algorithms and systems, with a focus on endowing computers with human-like intelligence to solve problems. This course is the second of a two-semester capstone for the Bachelor of Science in Artificial Intelligence Methods and Applications (AIMA) major. The goal of this course is for students to demonstrate their ability to first perform a comprehensive evaluation of the prototype AI solution developed in AIMA 430 (AI Capstone I - Project Design), which includes, but is not limited to usability, security, performance, cost, robustness, interpretability or explainability, and ethical implications of the AI solution. Based on results of the evaluation, students will be able to apply AI problem-solving methods, AI models (knowledge-based or machine learning-based), and AI-based automation learned from at least two AI courses to enhance the prototype AI solution toward the goal of a real-world deployment of the AI solution. The readiness of the AI solution for a real-world deployment will be assessed by each student team from multiple perspectives, including, but not limited to, performance, ethical challenges, reproducibility, observability, potential limitations, and potential benefits of the deployment. Students are also expected to apply project management skills they learned in AIMA 430 to this second AI Capstone project course for project planning, task assignments, progress tracking, risk identifications, and risk reduction approaches.