SYS 2201
Computational Methods for AI Systems
Course Description
Prerequisites
CS 1110 or equivalent
This course demystifies the building blocks and computational methods necessary to design and evaluate AI-driven systems. Students will gain hands-on experience in R and Python and leverage generative AI responsibly as a coding assistant. Students will learn how to formulate hypotheses, collect and preprocess data, conduct exploratory analysis, and iteratively refine AI models based on empirical evaluation. Prerequisite: CS 1110 or equivalent.