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Basic Details:

  • Course Code: EM 2030
  • Credits: 3
  • Pre-requisites: None
  • Compulsory/Optional: Compulsory for Chemical & Process Engineering specialization

Intended Learning Outcomes:

On successful completion of the course, the students should be able to;

  • Use of modern computational and mathematical techniques in chemical and process engineering.
  • Acquiring the knowledge, understanding and skills required for the use of pertinent software and appropriate programming language.
  • Ability to solve sets of linear and nonlinear algebraic equations, ordinary differential equations, and differential-algebraic (DAE) systems in chemical and process engineering.
  • Ability to solve partial differential equations obtained from transport phenomena in chemical and process engineering.

Couse Content:

Error analysis.

Gaussian elimination, Iterative methods, Relaxation methods

Fixed point iteration, Newton-Raphson method, System of non-linear equations

Differentiation, Interpolation method, Finite difference integration, Newton-Cotes methods, Gaussian integration methods

Initial value problems: Euler method, Runge-Kutta methods. Boundary value problems: Finite difference Method. Solving system of ordinary differential equations and higher order differential equations. Adaptive step size mechanisms

Explicit and implicit finite difference methods; Basics of finite element methods

(Assignments / Projects component must be coordinated and examined by the Department of C&P Eng. since this components deal with examples from chemical and process engineering.)

Time Allocation (Hours):

Lectures
0
Tutorials/Practicals/Assignments
0

Recommended Texts:

  • Steven C Chapra, Raymond P Canale. Numerical Methods for Engineers, 6th edition (2010)ISBN : 0073401064

Assessment:

In - course:

Tutorials/Assignments/Projects
40%
Mid Semester Examination
20%

End-semester:

40%