AINS6009: Capstone Project#
Aurnova MSAI track: Core
Credits: 3
Format: 8-week online graduate course
Guides students through a complete AI project from charter through final defense and handoff.
This course follows the Aurnova/Castalia course-site pattern used by AINS6003: each module includes book prose, an assignment notebook, slide notebook, narration, instructor notes, and an executable lab.
Course Outcomes#
By the end of the course, students will be able to:
explain the major concepts and tradeoffs in Capstone Project;
build or evaluate applied AI artifacts aligned with the course domain;
document assumptions, evidence, limitations, and operational risks;
connect technical work to governance, stakeholder needs, and deployment readiness.
Module Map#
Problem definition and project charter — What problem will the capstone solve, and for whom?
Literature, market, and domain review — What prior work and constraints shape the solution?
Architecture and data plan — What system design can satisfy the charter?
Prototype implementation — What is the smallest useful working system?
Evaluation and iteration — What evidence shows progress or exposes failure?
Deployment and operational readiness — What must be true before real-world use?
Thesis, documentation, and defense — How will the work be defended to technical and nontechnical audiences?
Final demonstration and handoff — What does the completed project prove?