Teaching
Undergraduate Course
BCSC 229: Computer Models of Human Perception and Cognition
This course (taught during Spring semesters) aims to teach students about probabilistic methods and their applications to understanding human perception and cognition. From a cognitive science perspective, students will learn about current theories of human perception and cognition, and about experimental studies evaluating these theories. How do our brains perceive, think, and act? Are the representations and operations used by our brains “optimal” in some sense? From a computer modeling perspective, students will learn about computational methods and issues (borrowed primarily from the fields of artificial intelligence and probabilistic machine learning).
Graduate Courses
BCSC 502: Cognition
This team-taught core course (taught during Spring semesters) is the second half of a two-course sequence aiming to provide BCS graduate students with: (1) a broad foundation in the brain and cognitive sciences; and (2) an introduction to the research interests of the BCS faculty. The first half of the sequence (BCSC 505) focuses on perception, action, and neural mechanisms. This course focuses on cognition.