Montgomery College 2015-2016 Catalog 
    Sep 24, 2023  
Montgomery College 2015-2016 Catalog [ARCHIVED CATALOG]

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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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