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Mar 14, 2025
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MEC 4677 - Applied Numerical Methods2 lecture hours 2 lab hours 3 credits Course Description This course provides a capstone numerical methods experience. Numerical methods will be introduced using calculus, linear algebra, and computer programming fundamentals during lecture portion of the course. The laboratory portion of the course will be used to explore applications of numerical methods using programming software. (prereq: MEC 2030 , MEC 3130 , MEC 3320 ) (quarter system prereq: MA 383, ME 230) Course Learning Outcomes Upon successful completion of this course, the student will be able to:
- Identify sources of errors in numerical computation
- Develop or select a mathematical model appropriate for desired application
- Formulate proper constraints and conditions for solving the model equations
- Select and implement appropriate numerical method for solving the model equations
- Analyze, critique, discuss, and document the results from numerical simulations
- Demonstrate ability to make design decisions using results from numerical simulations
Prerequisites by Topic
- Static equilibrium of solids, liquids, and gases
- Newton’s Laws of Motion for particle and rigid bodies
- Combined loading of shafts and structural members, beam deflection and column buckling
- First and second order electrical, mechanical, and electromechanical systems modeled by lumped parameter approach
- Response of first and second order linear time invariant systems in time domain and frequency domain
- First and Second law of thermodynamics
- Euler, Bernoulli, and Navier-Stokes equations for fluid flow
- Laws of heat transfer
- Hydrodynamic and thermal boundary layers
Course Topics
- Sources of errors in numerical computation
- Fixed point iteration, root finding methods and convergence rates for a single algebraic equation
- Numerical linear algebra: solving system of linear algebraic equations, and matrix eigenvalues
- Solving system of nonlinear algebraic equations
- Lagrange/Newton interpolation, and cubic splines
- Numerical differentiation, optimal step size, Richardson extrapolation
- Numerical integration and quadrature methods
- Numerical solution for ordinary differential equations (ODEs): initial value problems (IVP) and boundary value problems (BVP), stability of numerical solution for stiff ODEs, eigenvalues
- Numerical solution to partial differential equations (PDEs) using finite eifference and finite volume methods, introduction to finite element method (if time permits)
- Engineering applications of numerical methods
Laboratory Topics
- Fixed point iteration and root finding
- System of linear algebraic equations
- Eigenvalues and eigenvectors
- System of nonlinear algebraic equations
- Interpolation and splines
- Numerical differentiation and Gauss quadrature
- Step-size influence on stability for methods of solving single first order ODE (IVP)
- Numerical methods of solving system of first order ODEs (IVP)
- Shooting method for solving ODEs (BVP)
- Finite Difference Method for solving ODEs (BVP)
- Numerical solution for parabolic PDEs (IBVP)
- Numerical solution for elliptic PDEs (BVP)
- Numerical solution for hyperbolic PDEs (IBVP)
Coordinator Dr. Anand Vyas
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