Spring 2025
COGSCI C131 103 - DIS 103
Computational Models of Cognition
Maria Martin Lopez
Class #:24888
Units: 4
Instruction Mode:
In-Person Instruction
Offered through
Interdisciplinary Social Science Programs
Current Enrollment
Total Open Seats:
2
Enrolled: 12
Waitlisted: 0
Capacity: 14
Waitlist Max: 8
No Reserved Seats
Hours & Workload
3 hours of instructor presentation of course materials per week, 1 hours of the exchange of opinions or questions on course material per week, and 8 hours of outside work hours per week.
Other classes by Maria Martin Lopez
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
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
No Reserved Seats
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials