May 30, 2026  
2023-2024 Undergraduate Catalog 
    
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2023-2024 Undergraduate Catalog [ARCHIVED CATALOG]

CSC 351 - Machine Learning

3-0-3

A broad introduction to theoretical and practical aspects of machine learning, including algorithms for regression, classification, dimensionality reduction, and clustering.  Additional coverage may include neural networks, deep learning, ensemble methods, reinforcement learning, or Bayesian networks.  Familiarity with basic probability and statistics is recommended.

PR: CSC 219  or MAT 219  or MAT 303 ; and CSC 225 .