- Class 1 – Class and Data Science Intro
- Class 2 – Analysis Rubric and Ethics Discussion
- Class 3 – Data
- Class 4 – Models and Dependability – Privacy (intro)
- Class 5 – Dependability: Privacy, Security, Anti-abuse, Resilience
- Class 6 – Understandability: Explainability, Causality, Reproducibility
- Class 7 – Objectives
- Class 8 – Toleration of Failures and ELSI
- Class 9 – Societal Concerns
- Class 10 – Societal Concerns (cont)
- Class 11 – Concerns and Policy
- Class 12 – Discussion, including what about AGI?