Module 2 Overview#
Theme#
Stakeholders, requirements, and risk
Essential Question#
Who is affected, and what must the system not do?
Module Components#
Book prose: conceptual framing, domain scenario, methods, and failure modesAssignment: evidence-backed production of a specific artifactSlides: presentation sequence for seminar or lecture deliveryNarration: spoken version of the slide flowInstructor notes: facilitation plan, discussion prompts, and grading cuesRubric: criteria for evaluating the module artifactNotebook: executable lab aligned with the module theme using synthetic project telemetry with scope volatility, evaluation results, risks, adoption readiness, and operational load
Module Artifact#
deployment decision package with project charter, acceptance gates, risk log, and monitoring plan focused on stakeholders, requirements, and risk: Create stakeholder and risk matrices.
Professional Setting#
Students work as if advising a delivery team deciding whether an AI project should move from experiment to deployment. Their work must be intelligible to project sponsor, product owner, ML lead, operations manager, and governance reviewer.