Sep 24, 2024  
2018-2019 Graduate Academic Catalog 
    
2018-2019 Graduate Academic Catalog [ARCHIVED CATALOG]

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GE 611 - Numerical Methods

3 lecture hours 0 lab hours 3 credits


Course Description
This course introduces numerical methods for solving ordinary differential equations and partial differential equations with engineering applications. (prereq: computer programming, differential equations and laplace transform)
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
  • Computer Programming
  • Differential equations and Laplace Transform

Course Topics
  • Taylor series, Error propogation, Numerical Differentiation, Forward-Backward-Central difference formulations of First and Second derivatives, Richardson’s Extrpolation
  • Numerical Integration: Newton-Gregory forward formula for interpolation, Trapezoidal rule, Simpson’s rules, Boole’s rule, Romberg Integration
  • Root finding methods: Bisection, False position, Fixed-point iteration, Newton-Raphson, Secant, Modified Secant
  • Ordinary Differential Equations: Initial Value problems, Euler’s method, Heun’s method, Runge-Kutta methods- Third order and Fourth Order, Stiff equations: Implicit Euler’s method, Adam’s solvers: Explicit and Implicit methods, Milne’s predictor-corrector methods

Coordinator
Subha Kumpaty



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