2026-2027 Undergraduate and Graduate Catalog 
    
    Oct 08, 2026  
2026-2027 Undergraduate and Graduate Catalog
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AI 330 Introduction to Machine Learning


3 credits

This course provides an introduction to the fundamental concepts and techniques of machine learning. Primary topics include supervised and unsupervised learning, model development, and performance evaluation. Through hands-on projects and practical examples, students will explore how machine learning techniques are applied to solve real-world problems. The course emphasizes building a strong conceptual framework and practical skills for further study in artificial intelligence.

Prerequisite(s): CPS 121 and MTH 115



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