Computational Optimization and Machine Learning for Chemical Engineering

12 units · Undergraduate

Fall: 12 units 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 ( 15-112 or 15-110 )