Module 2 Overview

Theme

Search, planning, and problem formulation

Essential Question

How do search and planning convert goals into tractable state spaces?

Module Components

• Book prose: conceptual framing, domain scenario, methods, and failure modes

• Assignment: evidence-backed production of a specific artifact

• Slides: presentation sequence for seminar or lecture delivery

• Narration: spoken version of the slide flow

• Instructor notes: facilitation plan, discussion prompts, and grading cues

• Rubric: criteria for evaluating the module artifact

• Notebook: executable lab aligned with the module theme using synthetic system evidence including task features, model outputs, confidence signals, and review outcomes

Module Artifact

AI system review package with architecture, evidence, limitations, and deployment recommendation focused on search, planning, and problem formulation: Implement breadth-first and heuristic search on a small planning problem.

Professional Setting

Students work as if advising an AI review team evaluating a proposed applied AI system before pilot deployment. Their work must be intelligible to technical lead, domain owner, governance reviewer, and end-user representative.