3.0

credits

Average Course Rating

This course provides a fundamental introduction to the nervous system and the brain. Students will learn basic concepts of neuroscience, examine key experimental findings, analyze major computational principles, and review recent progress in the field. Topics include sensory and motor systems, learning and memory, behavior and cognition, and neural computation. Designed for upper-level undergraduates and first-year graduate students in engineering, physics, and mathematics, the course covers neuroscience at multiple levels—from individual neuronal function to the organization of brain circuits underlying behavior. The goal is to provide students with a solid understanding of how the brain works, preparing them for future careers in academia or industry in science, engineering, and AI. The course will be taught in language accessible to students without a biological sciences background. Recommended background: calculus, computer programming (Matlab, Python, etc.), probability or statistics, organic chemistry, and introductory biology.