Spring 2022

COGSCI 131 001 - LEC 001

Computational Models of Cognition

Jose A Ramirez

Jan 18, 2022 - May 06, 2022

Tu, Th

11:00 am - 12:59 pm

Donner Lab 155

Class #:26903

Units: 4

Instruction Mode: In-Person Instruction

Offered through Interdisciplinary Social Science Programs

Current Enrollment

Total Open Seats: 0

Enrolled: 87

Waitlisted: 0

Capacity: 87

Waitlist Max: 45

No Reserved Seats

Hours & Workload

4 to 3 hours of instructor presentation of course materials per week, 8 hours of outside work hours per week, and 0 to 1 hours of the exchange of opinions or questions on course material per week.

Other classes by Jose A Ramirez

COGSCI 190 002 002SEM

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.

Class Notes

Students should complete: Calculus, discrete mathematics, Cognitive Science 1, Computer Science 61A, or equivalents in order to succeed in this course.

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.