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Basic Details:

  • Course Code: EM 203
  • Credits: 3
  • Pre-requisites: None
  • Compulsory/Optional: Compulsory for Chemical & Process Engineering
    specialization 

Aim :

Intended Learning Outcomes:

  • 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 systems of ordinary differential equations and higher order differential equations, adaptive step size mechanisms.

Explicit and implicit finite difference methods, basics of finite element methods

Time Allocation (Hours):

Lectures
0
Assignments
0

Recommended Texts:

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

Assessment:

In - course:

Assignments/Projects
40%
Mid Semester Examination
20%

End-semester:

40%