CS 250 Foundations of AI and Data Science

This project-based course introduces fundamental concepts and techniques in artificial intelligence and data science, covering topics such as machine learning, data analysis, and algorithmic decision-making.

Instructor:

Dr. Peilong Li

Office:

Esbenshade 284B

Appointments:

By email

Number of Credits

4

Pre-requisites

  • CS 121 Computer Science I
  • Any Math course from: MA 121 Calculus I, MA 135 Discrete Math, or MA 251 Probability and Statistics.

Textbooks

  • (Required) CS 250: Foundations of AI and Data Science. ZyBooks.
    Sign-up with: link.
    Enter zyBooks code: ETOWNCS250LiFall2024, then subscribe.

  • (Optional) Gareth James, et al. An Introduction to Statistical Learning with Applications in Python (ISLP).
    2023, Springer.
    ISBN: 978-3-031-39189-7.
    E-copy: link

Last updated on Sep 9, 2018