Description

Methods for numerical solution of linear equations (1) (Gauss Elimination Method – Cramer)-Methods for numerical solution of linear equations (2) ( Gauss Seidel Method)-Methods for numerical solution of nonlinear equations (1) (Newton-Raphson)-Methods for numerical solution of nonlinear equations (2)-Applications ofnumerical solution of nonlinear equations-Analysis in the s-domain (1)-Analysis in the s-domain (2)-Frequency-domain analysis -Filters -Numerical methods for magnetic circuits 1-Numerical methods of magnetics circuits 2-Numerical Analysis of Two-port Network 1- Numerical Analysis of Two-port Network 2-Numerical analysis using MATLAB

Program

Bachelor Degree in Electrical and Control Engineering (160)

Objectives

  • The objectives of numerical analysis course have been set as follows: 1. To learn efficient methods for obtaining approximate solutions to complex engineering problems using simple arithmetic but systematic operation 2. To solve linear, non-linear equations using various numerical methods 3. To learn how to interpolate experimental data and fit them in the curves 4. To learn how to integrate and differentiate various equations numerically 5. To learn how to solve ordinary differential equation numerically. 6. To learn how to use MATLAB software for problem solving

Textbook

•J. Nilsson & S. Riedel, “Electrical circuits”, Prentice Hall, latest edition •Theraja, B., n. d. Fundamentals of Electrical Engineering and Electronics. Chand (S.) & Co Ltd. Latest edition •Ogata, K., n. d. Modern control engineering, Pearson, latest edition

Course Content

content serial Description

Markets and Career

  • Generation, transmission, distribution and utilization of electrical power for public and private sectors to secure both continuous and emergency demands.
  • Electrical power feeding for civil and military marine and aviation utilities.
  • Electrical works in construction engineering.

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