ChE 150
Computational Methods in Chemical Engineering
Computational methods for solving chemical engineering problems in transport, thermodynamics, and kinetics. Topics include numerical linear algebra, discretization techniques for ordinary and partial differential equations, optimization, and statistical methods for uncertainty quantification and data interpretation. The course emphasizes implementing these methods in code and developing reproducible scientific coding practices.
Topics
- numerical linear algebra
- discretization techniques for ordinary and partial differential equations
- optimization
- and statistical methods for uncertainty quantification and data interpretation
Topics explicitly listed in official catalogue description
Prerequisites & course information
Prerequisites: introductory linear algebra (Ma 1abc), partial differential equations (ACM 95ab), chemical thermodynamics (ChE 63ab), transport phenomena (ChE 103abc), reaction kinetics (Ch 1ab), and introductory computational methods (ChE 15) or equivalent..
Sources
- Course catalogue ↗2026-2027