SPRING 2020
Cognitive Science 131: Computational Models of Cognition
This course will provide advanced students in cognitive science and computer science with the skills to develop computational models of human cognition, giving insight into how people solve challenging computational problems, as well as how to bring computers closer to human performance. The course will explore three ways in which researchers have attempted to formalize cognition -- symbolic approaches, neural networks, and probability and statistics -- considering the strengths and weaknesses of each.
PLEASE NOTE THAT THESE POSITIONS ARE PENDING BUDGETARY APPROVAL.
To apply to GSI for this course, please fill out this form.
FALL 2019
GSIs Needed: Cognitive Science 1: Introduction to Cognitive Science. Professor Ben Pageler
To apply to GSI for this course, please fill out this form.
Reader Needed: Cognitive Science 190.003: Brain Damange. Professor Linda Isaac. To apply to be a Reader for this course, please fill out this form.
Reader Needed: Cognitive Science 190.001: Clinical Applications in Cognitive Neuroscience. To apply to be a Reader for this course, please fill out this form.
Reader Needed: Cognitive Science 190.002: The Cognitive Unconscious. To apply to be a Reader for this course, please fill out this form.
SPRING 2020
Cognitive Science 1: Introduction to Cognitive Science
Cognitive Science explores one of sciences final frontiers; the scientific study of the mind. It is a broad interdisciplinary field that encompasses research from areas in neuroscience, psychology, philosophy, linguistics, anthropology, and computer science. This course will discuss some of the classic questions about the mind, and will review how the disciplines that contribute to cognitive science guide us in answering them.
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