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Applied Mathematics in Chemical Engineering

PART I : Mathematical Modeling

  • Modeling procedure
    1- Lumped formulation
    2- Distributed formulation
    3- Mixed lumped and distributed formulation



 

  • Modeling Examples : momentum, heat and mass transfer



 

PART II : Analytical Methods

  • Review of ordinary differential equations
    1- 1st order differential equations
    2- 2nd order differential equations with constant coefficients
    3- Special 2nd order differential equations (trigonometric, Euler, Bessel, Legander, ...)



 

  • Orthogonal functions and Sturm-Liouville problem



 

  • Solution of partial differential equations using separation of variable method
    1- Laplace equation (two dimensional)
    2- Poison equation (two dimensional)
    3- Diffusion equation (one dimensional)



 

PART III : Numerical Methods

  • Introduction to numerical analysis and MATLAB programming



 

  • Solution of ordinary differential equations: initial-value problems
    1- Single-step methods: Euler's, Heun's, and Runge-Kutta methods
    2- Multi-step methods: Adams-Bashforth-Moulton predictor-corrector methods



 

  • Solution of ordinary differential equations: boundary-value problems
    1- Shooting methods: linear and nonlinear (Newton's)
    2- Finite-difference methods: solving linear and nonlinear systems



 

  • Solution of partial differential equations: initial-value problems on finite intervals
    1- Heat equation: explicit, implicit, and Crank-Nicholson difference methods
    2- Stability analysis and errors of finite difference methods


 

 

Prerequisites: 

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Grading Policy: 
  • Mid-Term Exam:        30% 
  • Final Exam:                          40%       
  • Homework:                          10%  
  • Computer Projects:             20%

 

 

Time: 

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Term: 
-
Grade: 
Undergraduate

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