Module 7 Overview#

Theme#

Interpretability and stakeholder explanation

Essential Question#

What explanations are appropriate for different audiences?

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 tabular observations with features, labels, train/test split, baseline score, and error slices

Module Artifact#

predictive modeling report with baseline comparison, validation evidence, and model card focused on interpretability and stakeholder explanation: Produce a feature-importance or counterfactual explanation memo.

Professional Setting#

Students work as if advising an analytics team choosing a predictive model for an operational decision. Their work must be intelligible to analytics lead, domain owner, operations manager, and model risk reviewer.