AINS graduate course

AINS6001 · Foundations of Artificial Intelligence

Core sequence · catalog 2026–27

Description

Graduate introduction to AI as rigorous problem solving: search, knowledge, learning, and agents—aligned with modern practice and responsible use.

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Syllabus outline

  1. Modules 1–2 · Problems & agents

    • Problem formulations and evaluation functions
    • Uninformed and informed search
    • Constraint satisfaction patterns

  2. Modules 3–4 · Knowledge & reasoning

    • Logic, inference, and knowledge graphs (intro)
    • Planning representations
    • Uncertainty basics bridging to ML

  3. Modules 5–6 · Learning & ethics

    • Supervised learning framing
    • Generalization and evaluation hygiene
    • Fairness, safety, and policy hooks