2019 Summer Session C
8 weeks, June 24 - August 16
COGSCI 131 101 - DIS 101
Computational Models of Cognition
Elena Luchkina, Samuel J Cheyette
Class #:15947
Units: 4
Offered through
Interdisciplinary Social Science Programs
Current Enrollment
Total Open Seats:
45
Enrolled: 30
Waitlisted: 0
Capacity: 75
Waitlist Max: 25
No Reserved Seats
Hours & Workload
6 hours of instructor presentation of course materials per week, 15 hours of outside work hours per week, and 2 hours of the exchange of opinions or questions on course material per week.
Other classes by Elena Luchkina
Course Catalog Description
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.
Rules & Requirements
Credit Restrictions
Student will receive no credit for Cognitive Science 131 after taking Cognitive Science C131/Psychology C123. A deficient grade in Cognitive C131/Psychology C123 may be removed by taking Cognitive Science 131.
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
No Reserved Seats