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Adversarial Algorithms and AI Search

Competency Contract​

  • Primary competency: AL-ALGORITHMS-001
  • Mastery: explain, apply, develop, and evaluate as required by the semester assessment
  • Status: required evidence extension; it does not add a semester or increase the advertised duration

Required Work​

Treat brute force as a baseline; analyze adversarial inputs and algorithmic denial of service; apply randomized reasoning; connect graph search, dynamic programming, optimization, and heuristics to AI search.

Evidence Contract​

  • adversarial input suite
  • worst-case analysis
  • probabilistic comparison
  • search/optimization transfer memo.

Assessment Integration​

  • Project: produce the evidence in the semester repository rather than as detached prose.
  • Checkpoint: show the evidence exists and identify its highest-risk gap.
  • Cumulative review: connect the work to current, previous, and two-semesters-back knowledge.
  • Exam: evaluate a new case and reject an attractive but unsafe or unsupported alternative.
  • Rubric: every required evidence category must pass; strengths cannot average away a missing category.
  • Answer key: calibrate the shape of evidence without prescribing one implementation.

Oral Defense​

Show an input that defeats the naive method and defend the mitigation without hiding its tradeoff.

AI-Use Declaration​

Record tools and models used, material output accepted, rejected suggestions, and independent verification. Undeclared generated evidence fails the integrity gate.

Reading Route​

Start with the linked semester concepts and labs. Use local books selectively for conceptual depth and current official standards for normative requirements. Stop reading when you can produce and defend the required evidence.