DSML 190AAI Fundamentals

Catalog

Prerequisite(s): An intermediate algebra course or one and one-half years of secondary school algebra or equivalent and appropriate score on the mathematics preassessment placement test. This course introduces artificial intelligence to non-specialists through everyday applications, quantitative reasoning, guided software-based labs, and responsible use. Students learn foundational ideas in AI, machine learning, deep learning, and generative AI by interpreting graphs, probabilities, and simple model metrics and by evaluating how AI tools are used in fields such as healthcare, education, business, media, and government. Students run instructor-provided software and code and interpret the results. The course emphasizes data interpretation, conceptual understanding, evidence-based reasoning, and ethical analysis rather than advanced mathematics or extensive computer programming.