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Integration Of Numerical Problem Solving Into The Chemical Engineering Curriculum
Author(s) -
Mordechai Shacham,
Michael B. Cutlip
Publication year - 2020
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/1-2--11598
Subject(s) - computer science , set (abstract data type) , software , curriculum , chemical equation , nonlinear system , matlab , partial differential equation , numerical analysis , ordinary differential equation , differential equation , computational science , mathematics , algorithm , programming language , mathematical analysis , psychology , pedagogy , chemistry , physics , quantum mechanics
This paper provides a collection of representative problems with detailed solutions that can be used to introduce numerical problem solving into core chemical engineering courses. These problems require application of the numerical analysis areas of linear equations, nonlinear equations, ordinary differential equations, partial differential equations, and regressions with statistics (polynomial, multiple linear and nonlinear). A set of 12 “example” problems is presented along with complete solutions utilizing three representative software packages: Microsoft Excel*, MATLAB*, and Polymath * . An additional set of 12 “assignment” problems is also be presented. All 24 problem statements and detailed solutions are made available on a special web site that has been designed for efficient use by interested faculty. These problems and their solutions provide insight into the various types of problems appropriate to chemical engineering, practical aspects of problem solution, and proper interpretations of results. Emphasis will be given to placement of these problems and application of the software within the Chemical Engineering curriculum.

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