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Paper · arXiv

From Understanding to Creation: A Prerequisite-Free AI Literacy Course with Technical Depth Across Majors

Most AI literacy courses for non-technical undergraduates emphasize conceptual breadth over technical depth. This paper describes UNIV 182, a prerequisite-free course at George Mason University that teaches undergraduates across majors to understand, use, evaluate, and build AI systems. The course is organized around five mechanisms: (1) a unifying conceptual pipeline (problem definition, data, model selection, evaluation, reflection) traversed repeatedly at increasing sophistication; (2) concurrent integration of ethical reasoning with the technical progression; (3) AI Studios, structured in-class work sessions with documentation protocols and real-time critique; (4) a cumulative assessm...

AuthorsAmarda Shehu
Primary categorycs.CY
Published19 March 2026
Last updated at source19 March 2026
cs.CYcs.AI
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