COGSCIC131
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COGSCI C131 - Computational Models of Cognition
Subject
COGSCI
Course Number
C131
Department
Course Level
Undergraduate
Course Title
Computational Models of Cognition
Course 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.
Minimum Units
4
Maximum Units
4
Grading Basis
Default Letter Grade; P/NP Option
Method of Assessment
Alternative Final Assessment
Prerequisites
Calculus, discrete mathematics, CogSci 1/1b/N1, Computer Science 61A, or equivalents.
Repeat Rules
Course is not repeatable for credit.
Credit Restriction Courses. Students will receive no credit for this course if following the course(s) have already been completed.
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Credit Restrictions.
Students will receive no credit for COG SCI C131 after completing COG SCI 131.
Credit Replacement Courses. Upon passing, students can use the following course(s) to replace a deficient grade for this course.
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Cross-Listed Course(s)
Formats
Lecture, Discussion
Term
Fall and Spring
Weeks
15 weeks
Weeks
15
Lecture Hours
3
Lecture Hours Min
3
Lecture Hours Max
3
Discussion Hours
1
Discussion Hours Min
1
Discussion Hours Max
1
Outside Work Hours
8
Outside Work Hours Min
8
Outside Work Hours Max
8