ENES 240 - Scientific and Engineering Computation

Elementary numerical analysis. Roots of equations. Systems of linear equations: Gaussian elimination, matrix diagonalization and inversion, iterative methods. Interpolation and curve fitting. Numerical integration. Differential equations. Example problems in the context of engineering applications are solved using a variety of software tools, including structured programming and high-level computational packages such as Matlab. PREREQUISITE(S): Completion of one semester of calculus. COREQUISITE(S): MATH 182 or higher. Two hours lecture, two hours laboratory each week. Formerly ES 240.

3 semester hours

Course Outcomes:
Upon course completion, a student will be able to:

Demonstrate understanding of advantage and limitation of numerical methods.
Enhance programming skills using MATLAB environment to implement algorithms.
Demonstrate understanding of different numerical techniques and how to apply them to solve non-linear equations and a set of linear equations.
Apply least square regression for polynomial and function fit for a given data set.
Imply numerical differentiation and integration to engineering problems.
Use numerical techniques to solve non-linear differential equations.
Use MATLAB as a tool for solving more complicated problems in science and engineering.

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