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Applied Mathematics in Chemical Engineering
PART I : Mathematical Modeling
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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
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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
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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
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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
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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
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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:
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Grade:
Undergraduate