COGS 4210 - Cognitive Modeling
Recent advances in Cognitive Science, Computer Science and Mathematics, have resulted in the ability to develop computer programs that implement Probabilistic Cognitive Models (PCMs). The cognitive models that this course covers are based on approximate Bayesian Inference implemented by Markov Chain Monte Carlo and Variational techniques that have made this approach tractable. The objective of this course is to enable the student to develop models of cognition in a Bayesian framework.
Prerequisites/Corequisites: CSCI 2300 or permission of instructor.
Attributes
Data Intensive 2
When Offered: Spring term annually.
Co-Listed: COGS 6210 . Students cannot obtain credit for both COGS 4210 and COGS 6210.
Credit Hours: 4
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