Authoritative Readings and Resources

These resources extend the supplied learning chapters in AINS6009 Capstone Project. They were selected because they are primary standards, official documentation, open textbooks, or authoritative institutional guidance—not unsourced link lists.

How to Read Them

For each module, read the supplied chapter first. Then use the two linked resources at the end of that chapter to test terminology, compare the course’s worked example with an authoritative treatment, and identify one point that should change or qualify your recommendation. Students are not expected to read every linked document cover to cover.

1. ACM Artifact Review and Badging

Standards for reproducibility, availability, and reuse.

Use with: Problem definition and project charter, Prototype implementation, Evaluation and iteration, Final demonstration and handoff.

2. NIST AI Risk Management Framework

Lifecycle risk and evidence expectations.

Use with: Problem definition and project charter, Literature, market, and domain review, Evaluation and iteration, Deployment and operational readiness.

3. Zenodo Documentation

Preserving, versioning, and citing research artifacts.

Use with: Literature, market, and domain review, Architecture and data plan, Deployment and operational readiness, Thesis, documentation, and defense.

4. The Turing Way

Open handbook for reproducible, ethical, collaborative data science.

Use with: Architecture and data plan, Prototype implementation, Thesis, documentation, and defense, Final demonstration and handoff.

Source-Use Standard

Assignments should distinguish among measured notebook evidence, course-provided synthetic evidence, claims supported by these sources, and the student’s own professional judgment. Cite the specific page, section, control, or documentation topic used; a bare homepage link is not adequate evidence.