06 324
Computational Optimization and Machine Learning for Chemical Engineering
Carnegie Mellon University · UGRD · Fall 2026
1 section
Catalog description
This course will focus on the development and use of numerical methods and machine learning approaches for chemical engineering. This includes solution of nonlinear equations, differential equations, and constrained optimization problems. The course will also address regression for data science and machine learning. Students will learn how to apply modern machine learning approaches (e.g., neural networks) in the context of engineering problems. Prerequisites: 06-262 and ( 15-110 or 15-112 )
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Availability not recently verifiedClass #carnegie_mellon-06324Fall 2026UGRD12 credits
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