COGSCI131
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COGSCI 131 - Computational Models of Cognition
Subject
COGSCI
Course Number
131
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
Formats
Lecture, Discussion
Term
Fall and Spring
Weeks
15 weeks
Weeks
15
Lecture Hours Min
3
Lecture Hours Max
4
Discussion Hours Max
1
Outside Work Hours
8
Outside Work Hours Min
8
Outside Work Hours Max
8
Term
Summer
Weeks
8 weeks
Weeks
8
Lecture Hours Min
6
Lecture Hours Max
8
Discussion Hours Max
2
Outside Work Hours
14.5
Outside Work Hours Min
14.5
Outside Work Hours Max
14.5