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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.