Computational Cognitive Science
MIT OpenCourseWare's graduate-level course introduces computational theories of human cognition, focusing on inductive learning, inference, and how knowledge is represented in the mind. Lectures and readings cover Bayesian models, probabilistic reasoning, and formal frameworks used to explain how people learn concepts, causal relationships, and language from limited data. The course is aimed at intermediate to advanced undergraduates or graduate students in cognitive science, artificial intelligence, or related fields, and graduate students complete a research project. Materials include lecture notes, readings, and assignments published freely through MIT OpenCourseWare under a Creative Commons license, with no instructor interaction or certificate offered, since OCW is a self-study archive of MIT course materials rather than an instructor-led platform.