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Syllabus for 06-623 Mathematical Modeling of Chemical Engineering Processes

Lectures

Fall 2023 - 06-623 Mathematical modeling of chemical engineering processes
Introduction to 06-623 and Jupyter Lab
Jupyter Lab
Integration in Python
Solutions to first-order differential equations by integration
Families of solutions to FODEs
Higher order differential equations
Introduction to nonlinear algebra
Advanced topics in nonlinear algebra
Boundary Value Problems in differential equations
Introduction to optimization
Introduction to nonlinear regression
Uncertainty estimates from curvefit and scipy.optimize.minimize
Constrained minimization
Introduction to Linear algebra
Linear algebraic equations
Advanced topics in linear algebra
Linear regression
Introduction to automatic differentiation with jax
Applications of automatic differentiation
Introduction to machine learning
Advanced topics in ML
Gaussian process regression
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By John Kitchin

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