Syllabus Information |
Fall 2024
May 24, 2026 |
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| DEF 1100P - A Survey of AI: Transforming |
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Associated Term:
Fall 2024
Learning Objectives: Classify and compare AI system types — classifiers, detectors, generators, trackers, rankers, and agents — against deployment requirements and operational constraints Adapt discriminative models (selection, transfer learning, calibration) and generative models (prompt engineering, fine-tuning, distillation) into reliable components Design composed AI systems: discriminative detection and tracking pipelines, RAG architectures, agentic systems, and hybrid cross-paradigm patterns Allocate decisions between human and AI using autonomy frameworks, and design interfaces that produce calibrated trust rather than overtrust Deploy testing, monitoring, and governance strategies to assure AI systems in production Apply interpretability, robustness, fairness, and safety engineering to discriminative, generative, and hybrid architectures Required Materials: Laptop or Tablet Technical Requirements: PPT deck of course materials |
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