ENES 240 - Scientific and Engineering Computation

Course covers: 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): MATH 182 with a grade of C or better. 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:

Explain the advantages and limitations of numerical methods.
Enhance programming skills using MATLAB environment to implement algorithms.
Solve non-linear equations and a set of linear equations using different numerical techniques.
Apply least square regression for polynomial and function fit for a given data set.
Amply 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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