CHEME 5820

CHEME 5820

Course information provided by the 2025-2026 Catalog.

Engineering practice increasingly relies on computational tools, data analysis, and Machine Learning approaches. This one-semester course introduces machine learning, focusing on supervised learning and its theoretical foundations in the context of engineering practice. Topics include regularized linear models, boosting, kernel methods, deep learning approaches, generative modeling tools, decision-making in stochastic systems, and reinforcement learning approaches.


Prerequisites CHEME 4800 or CHEME 5800.

Last 1 Terms Offered 2025SP

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 4 Credits GradeNoAud

  •  8495 CHEME 5820   LEC 001

    • MW Olin Hall 145
    • Jan 20 - May 5, 2026
    • Varner, J

  • Instruction Mode: In Person

  •  8496 CHEME 5820   DIS 201

  • Instruction Mode: In Person