This course introduces foundational concepts in data and artificial intelligence, including how data is structured, analyzed, and applied in modern AI systems. Students develop essential data and AI literacy while exploring issues of fairness, privacy, and responsible use. Course activities focus on interpreting datasets, examining AI applications and prompt engineering, and evaluating ethical implications of data quality and AI deployment.
Prerequisites
Placement into college level mathematics. A basic understanding of spreadsheets is recommended.