— AI Literacy in Biology & Medicine: Data, Decisions, & Ethics

Prerequisites & course information

Course Description: Foundations of artificial intelligence in biology and medicine. Examination of AI-driven drug discovery, AI-integration in clinical diagnosis and decisions, AlphaFold protein structure prediction, and AI-assisted gene editing, examined through current real-world cases. Evaluation of model performance, interpretation of biomedical AI evidence, and analysis of the ethics of bias, equity, and privacy across genomics, bioinformatics, clinical care, and public health. Learning Activities: Web Virtual Lecture 2 hour(s). Grade Mode: Letter. General Education: Science & Engineering (SE); Quantitative Literacy (QL); Visual Literacy (VL). This course version is effective from, and including: Fall Quarter 2026. Learning Activities: Web Virtual Lecture 2 hour(s). Grade Mode: Letter. General Education: Science & Engineering (SE); Quantitative Literacy (QL); Visual Literacy (VL).