Computational Models of Cognition
PSY 360/COS 360
1222
1222
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The objective of this course is to provide advanced students in cognitive science, psychology, and computer science with the skills to develop computational models of human cognition. Computational modeling is one of the central methods in cognitive science research, and can help to provide insight into how people solve the challenging problems posed by everyday life, as well as how to bring computers closer to human performance for some of these problems. The course will explore three ways in which researchers have attempted to formalize cognition-symbolic approaches, neural networks, and probability and statistics.
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Section L01
- Type: Lecture
- Section: L01
- Status: O
- Enrollment: 75
- Capacity: 80
- Class Number: 20388
- Schedule: MW 11:00 AM-12:20 PM - Jadwin Hall A10
Section P01
- Type: Precept
- Section: P01
- Status: C
- Enrollment: 31
- Capacity: 23
- Class Number: 23644
- Schedule: W 10:00 AM-10:50 AM - Princeton Neuroscience Institu A02
Section P02
- Type: Precept
- Section: P02
- Status: C
- Enrollment: 21
- Capacity: 20
- Class Number: 23645
- Schedule: F 11:00 AM-11:50 AM - Princeton Neuroscience Institu A17
Section P03
- Type: Precept
- Section: P03
- Status: O
- Enrollment: 16
- Capacity: 20
- Class Number: 23646
- Schedule: F 12:30 PM-01:20 PM - Princeton Neuroscience Institu A17
Section P04
- Type: Precept
- Section: P04
- Status: O
- Enrollment: 7
- Capacity: 20
- Class Number: 23647
- Schedule: F 01:30 PM-02:20 PM - Princeton Neuroscience Institu A17
Section P99
- Type: Precept
- Section: P99
- Status: C
- Enrollment: 0
- Capacity: 0
- Class Number: 22702