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Engineering AI Requirements

Student Learning Outcomes for the Engineering AI (Minor)

  1. Explain core AI concepts, including learning, inference, representation, and the limitations of AI systems.
    • Common Outcome
  2. Analyze and interpret model performance using appropriate metrics, and diagnose common failure modes (e.g., bias, overfitting, drift).
    • Common Outcome
  3. Identify ethical, legal, and social risks of AI and propose mitigations (privacy, fairness, safety, and responsible use).
    • Common Outcome
  4. Communicate AI methods and results clearly to both technical and non-technical audiences.
    • Common Outcome
  5. Apply human-centered design principles to AI systems, including usability, accessibility, transparency, and trust.
    • Pathway-Dependent Outcomes
  6. Implement and evaluate AI models, including basic neural network architectures, using standard tools and libraries.
    • Pathway-Dependent Outcomes
  7. Design AI solutions that integrate data pipelines, versioning, testing, and deployment considerations appropriate for real-world use.
    • Pathway-Dependent Outcomes

Willamette University

Engineering AI

  • Salem Campus

    Address

    900 State Street
    Salem Oregon 97301 U.S.A.