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

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
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
2011
2010
2009
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1998