# Programming For Cog Sci & Ai

## COGS-4410

Research in Cognitive Science and Artificial Intelligence (AI) is driven by data. Researchers in these fields collect, manipulate, model and analyze data generated by real-world processes. Since the amount of data available has grown exponentially, the ability to automate these tasks through computer programs is essential. Specifically, probabilistic and statistical computing are needed to learn from the data. The objectives of this course are for the student to perform exploratory data analysis and to acquire the basics of statistical and machine learning in order to model real-world datasets.

4 credits
Cross-listed with:
COGS-6410 Programming For Cog Sci & Ai CSCI-4966 Topics in CSCI
Prereqs:
CSCI-2300 Introduction To Algorithms

# Past Term Data
Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Simple View
Detailed View

| Spring | Summer | Fall
--- | --- | --- | ---
| (Session 1) | (Session 2) |
2026 |  |  |
2025 |  |  |
2024 |  |  |
2023 |  |  |
2022 |  |  |  |

2021

Programming For Cog Sci & Ai (4c)

- Michael J. Schoelles

Seats Taken: 16/10

2020

Programming For Cog Sci & Ai (4c)

- Michael J. Schoelles

Seats Taken: 14/10

2019

Programming For Cog Sci & Ai (4c)

- Michael J. Schoelles

Seats Taken: 15/8

2018

Programming For Cog Sci & Ai (4c)

- Michael J. Schoelles

Seats Taken: 14/15

2017

Programming For Cog Sci & Ai (4c)

- Michael J. Schoelles

Seats Taken: 9/10

2016

Programming For Cog Sci & Ai (4c)

- Michael J. Schoelles

Seats Taken: 9/6

2015

Programming For Cog Sci & Ai (4c)

- Michael J. Schoelles

Seats Taken: 6/6

2014

Programming For Cog Sci & Ai (4c)

- Michael J. Schoelles

Seats Taken: 8/10

2013 |  |  |

2012

Programming For Cog Sci & Ai (4c)

- Michael J. Schoelles

Seats Taken: 3/7

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