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Milwaukee School of Engineering

Sep 25, 2017

 2017-2018 Undergraduate Academic Catalog 2017-2018 Graduate Academic Catalog 2016-2017 Undergraduate Academic Catalog [ARCHIVED CATALOG] 2016-2017 Graduate Academic Catalog [ARCHIVED CATALOG] 2015-2016 Undergraduate Academic Catalog [ARCHIVED CATALOG] 2015-2016 Graduate Academic Catalog [ARCHIVED CATALOG] 2014-2015 Undergraduate Academic Catalog [ARCHIVED CATALOG] 2014-2015 Graduate Academic Catalog [ARCHIVED CATALOG] 2013-14 Undergraduate Academic Catalog [ARCHIVED CATALOG] 2012-2014 Graduate Academic Catalog [ARCHIVED CATALOG] 2012-2013 Undergraduate Academic Catalog [ARCHIVED CATALOG]
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# ME 300 - Modeling and Numerical Analysis

3 lecture hours 2 lab hours 4 credits
Course Description
This course is a study of mathematical techniques used to model engineering systems. It involves the development of mathematical models and the application of the computer to solve engineering problems using the following computational techniques: Taylor Series approximation, numerical differentiation, root finding using bracketing and open methods, linear and polynomial curve fitting, solution methods for matrix equations, numerical integration, and the solution of differential equations. Laboratory sessions involve the application of numerical analysis to physical systems involving statics, dynamics, fluid dynamics, heat transfer, electrical circuits, and vibratory systems. (prereq: ME 230 )
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
• Model engineering systems using first and second order differential equations, and solve the equations both analytically and numerically
• Employ the Taylor Series for approximation and error analysis
• Formulate and apply numerical techniques for root finding, curve fitting, differentiation, and integration
• Write computer programs to solve engineering problems

Prerequisites by Topic
• Programming
• Differential equations
• Differential and integral calculus

Course Topics
• Introduction to modeling (2 classes)
• Error analysis/Taylor Series (2 classes)
• Root finding (3 classes)
• Curve fitting (3 classes)
• Matrix applications (3 classes)
• Numerical differentiation (3 classes)
• Numerical integration (3 classes)
• Differential equations (7 classes)
• Partial differential equations & boundary value problems (2 classes)
• Testing and review (2 classes)

Laboratory Topics
• Programming/computing techniques
• Matrix solution methods
• Solution of simultaneous equations
• Modeling of first and second order mechanical/electrical/thermal systems
• Applications of root-finding to vehicle dynamics & thermal insulation
• Applications of curve-fitting to experimental data
• Applications of numerical integration to evaluate moments of inertia, friction work, volumetric fluid flow, and thermal heat flow

Coordinator
Vincent Prantil

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