# Cognitive Modeling

## COGS-4210

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.

4 credits Data Intensive II
Cross-listed with:
COGS-6210 Cognitive Modeling I
Prereqs:
CSCI-2300 Introduction To Algorithms

# Past Term Data
Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
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| Spring | Summer | Fall
--- | --- | --- | ---
| (Session 1) | (Session 2) |

2026

Cognitive Modeling (4c)

- Stefan Tomov Radev

Seats Taken: 17/17

2025

Cognitive Modeling (4c)

- Stefan Tomov Radev

Seats Taken: 17/17

2024

Cognitive Modeling (4c)

- Stefan Tomov Radev

Seats Taken: 17/19

Cognitive Modeling (4c)

- Lucy Cui

Seats Taken: 12/19

2023 |  |  |
2022 |  |  |

2021

Cognitive Modeling (4c)

- Michael J. Schoelles

Seats Taken: 15/24

2020

Cognitive Modeling (4c)

- Michael J. Schoelles

Seats Taken: 10/24

2019

Cognitive Modeling (4c)

- Michael J. Schoelles

Seats Taken: 11/24

2018

Cognitive Modeling (4c)

- Michael J. Schoelles

Seats Taken: 6/7

2017

Cognitive Modeling (4c)

- Michael J. Schoelles

Seats Taken: 6/7

2016

Cognitive Modeling I (4c)

- Michael J. Schoelles

Seats Taken: 5/7

2015

Cognitive Modeling I (4c)

- Michael J. Schoelles

Seats Taken: 4/5

2014 |  |  |

2013

Cognitive Modeling I (4c)

- Michael J. Schoelles

Seats Taken: 5/6

2012

Cognitive Modeling I (4c)

- Ron Sun

Seats Taken: 3/5

2011

Cognitive Modeling I (4c)

- Michael J. Schoelles

Seats Taken: 2/2

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