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Sep 24, 2024
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GE 611 - Numerical Methods3 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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