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MTH 204 2011-2012 Spring Term NUMERICAL ANALYSIS 2011-2012 Spring Term MTH 204 2011-2012 Spring Term NUMERICAL ANALYSIS 2011-2012 Spring Term INTERNATIONAL.

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Presentation on theme: "MTH 204 2011-2012 Spring Term NUMERICAL ANALYSIS 2011-2012 Spring Term MTH 204 2011-2012 Spring Term NUMERICAL ANALYSIS 2011-2012 Spring Term INTERNATIONAL."— Presentation transcript:

1 MTH 204 2011-2012 Spring Term NUMERICAL ANALYSIS 2011-2012 Spring Term MTH 204 2011-2012 Spring Term NUMERICAL ANALYSIS 2011-2012 Spring Term INTERNATIONAL BURCH UNIVERSITY DEPARTMENT of ELECTRICAL & ELECTRONICS ENGINEERING Prof: Abdulahamit Subasi Assist: Emina Alickovic asubasi@ibu.edu.ba, ealickovic@ibu.edu.ba asubasi@ibu.edu.ba asubasi@ibu.edu.ba

2 Timetable and office hours Class Schedule: Tuesday 09:00-111:45 Class Schedule: Tuesday 09:00-111:45 Tutorials: Wednesday 08:00-10:00 Tutorials: Wednesday 08:00-10:00 Office Hour: Open Door Policy Office Hour: Open Door Policy

3 Course Objectives To make students familiar with: To make students familiar with: Matlab Programmingand numerical approaches Matlab Programmingand numerical approaches To introduce student to real life problems and how to solve them. To introduce student to real life problems and how to solve them. To introduce students to simulations electrical and electronic circuits and solving them using matlab and numerical analysis To introduce students to simulations electrical and electronic circuits and solving them using matlab and numerical analysis

4 Textbooks Laurene V. Fausett, Applied Numerical Analysis Using MATLAB, Second Edition, Pearson, 2008

5 Brief Contents Introduction to MATLAB and MATLAB Usage – Matrix Manipulation, Loops and Conditions, Functions and Plotting Function of one variable Solving Linear Systems (direct methods) LU and QR factorization Matrices, eigenvalues and eigenvectors Interpolation and Curve fitting Approximation Engineering Application Nonlinear equations Engineering Application Fourier analysis Numerical Integration/Differentiation Ordinary differential equations Partial differential equations

6 Grading Lab. Sessions and homework 10% Quiz 10% Project 5% Midterm Exam 25% Final Examination 50%


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