Computational Practicum

This course provides a comprehensive introduction to computational techniques essential for chemical engineering at the Master's level. It spans two quarters, blending foundational concepts with advanced methodologies. This course equips students with critical computational skills, enhancing their problem-solving capabilities in chemical engineering applications.

Preliminary lecture schedule:
Lectures in Quarter 1 (Q1)

Lecture 1: Intro to course; Basic programming
Lecture 2: Refresh calculus, nonlinear equations
Lecture 3: Refresh linear algebra, (non-)linear systems of equations
Lecture 4: Numerical integration and differentiation
Lecture 5: Initial value problems (IVP)
Lecture 6: Boundary value problems (BVP) I
Lecture 7: Boundary value problems (BVP) II

Lectures in Quarter 2 (Q2)

Lecture 1: Advanced programming
Lecture 2: Partial differential equations (PDEs) I
Lecture 3: Partial differential equations (PDEs) II
Lecture 4: Unconstraint optimization
Lecture 5: Advanced optimization
Lecture 6: Regression, interpolation, and least square method
Lecture 7: Large language models