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Courses - Fall 2024
CHBE
Chemical and Biomolecular Engineering
Open Seats as of
10/09/2024 at 10:30 PM
CHBE652
(Perm Req)
Introduction of Machine Learning in Chemical Engineering
Credits: 3
Grad Meth: Reg, Aud
Recommended: Basic knowledge of chemical engineering, materials science, ordinary differential equations, and Python is desirable.
Restriction: Permission of Department or Instructor.
Jointly offered with: CHBE452.
Credit only granted for: CHBE452 or CHBE652.
Introduction of data science and machine learning approaches to modern problems in chemical engineering and materials science. This course develops data science approaches, including their foundational mathematical and statistical basis, and applies these methods to data sets of limited size and precision. Methods for regression and clustering will be developed and applied, with an emphasis on validation and error quantification. Techniques that will be developed include linear and nonlinear regression, clustering and logistic regression, dimensionality reduction, unsupervised learning, and artificial neural networks. These methods will be applied to a range of engineering problems, including conducting polymers, stretchable conductors, organic synthesis, and quality control in manufacturing.