INTERNATIONAL BURCH UNIVERSITY Department of Electrical

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INTERNATIONAL BURCH UNIVERSITY
Department of Electrical & Electronics Engineering
COURSE
Code
Name
MTH 204
NUMERICAL ANALYSIS
Level
BS Undergraduate
Status
Number of ECTS Credits
Class Hours Per Week
Compulsory
6
5
Instructor
Assoc. Prof. Dr. Abdülhamit Subaşı
Class Schedule: Tuesday : 09:00-11:45,
Thursday: 14:00-15:45
Office Hour: open door policy
asubasi@ibu.edu.ba
1. LEARNING
OBJECTIVES AND
GOALS
2. STUDENT
ASSESSMENT
METHODS
3. TEXTBOOK(S)
4.
LANGUAGE OF
INSTRUCTION
Year
Semester
II
Spring
Total Hours Per
Semester
75
Assistant
Emina Aličković
08:30 – 17:00, Monday - Friday
09:00 – 12:00, Tuesday; 11:00 – 15:00, Thursday; 09:00 – 12:00,
Wednesday
ealickovic@ibu.edu.ba
Matlab Programming, Binary Numbers. Error analysis. Solving systems of linear
equations: Gaussian Elimination, modification Gaussian Elimination and L-U
decomposition. Solutions of nonlinear equations and systems: Bisection,
Newton’s, secant and fixed-point iteration methods. Interpolation: Lagrange
Approximation, Newton’s Polynomials and Polynomial Approximation. Curve
Fitting. Numerical Differentiation. Numerical Integration. Numerical
Optimization. Numerical Solutions of the initial value and boundary value
problems: Euler’s, Heun’s, Taylor’s, Runge-Kutta Methods
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



Quizes
Homework, Labs
Project
Midterm Examination
Final Examination
10%
10%
5%
25%
50%
1. Main Textbook: Laurene V. Fausett, Applied Numerical Analysis Using
MATLAB, Second Edition, Pearson, 2008
2. Cleve Moler, Numerical Computing with MATLAB, Mathworks, 2004.
http://www.mathworks.com/moler
3. W. Y. Yang , W. Cao, T. –S. Chung, J. Morris APPLIED NUMERICAL METHODS
USING MATLAB, John Wiley & Sons, 2005.
4. Gerald W. Recktenwald,
Numerical Methods with MATLAB:
Implementations and Application, Prentice-Hall, 2006.
5. John H.Mathews, Numerical Methods using MATLAB, Prentice-Hall
International, 2004.
6. Richard L. Burden, J. Douglas Faires, Numerical Analysis, Eight Edition,
Thomson
7.Web:http://yunus.hacettepe.edu.tr/~selis/teaching/WEBkmu206/course.html
English
5. EVALUATION
POLICIES

Examination dates and times set forth are firm. Students are requested to
check their timetable and report possible conflicts with other courses.
6. PREREQUISITE
7. SCHEDULE OF LECTURES AND READINGS
Date
Class
Hour
s
Topic
Week 1
3
Introduction to MATLAB and MATLAB
Usage – Matrix Manipulation
Week 2
3
Introduction to MATLAB and MATLAB
Usage – Loops and Conditions
Week 3
3
Introduction to MATLAB and MATLAB
Usage – Functions and Plotting
Week 4
3
Week 5
3
Week 6
3
Interpolation and Curve fitting
Engineering and MATLAB Application
Week 7
3
Approximation
Engineering Application
Week 8
3
Engineering applications of numerical
methods
Week 9
3
Mid-term
Week 10
3
Nonlinear equations
Engineering Application
Week 11
3
Fourier analysis
Engineering a Application
Week 12
3
Numerical Integration/Differentiation
Engineering Application
Week 13
3
Ordinary differential equations
Engineering Application
Function of one variable
Solving Linear Systems (direct methods)
Engineering Application
LU and QR factorization
Matrices, eigenvalues and eigenvectors
Engineering Application
Teaching
Methods
Lectures,
Recitation,
Practical Sessions.
Lectures,
Recitation,
Practical Sessions.
Lectures,
Recitation,
Practical Sessions.
Lectures,
Recitation,
Practical Sessions.
Lectures,
Recitation,
Practical Sessions.
Lectures,
Recitation,
Practical Sessions.
Lectures,
Recitation,
Practical Sessions.
Lectures,
Recitation,
Practical Sessions.
Lectures,
Recitation,
Practical Sessions.
Lectures,
Recitation,
Practical Sessions.
Lectures,
Recitation,
Practical Sessions.
Lectures,
Recitation,
Practical Sessions.
Reading
Week 14
3
Week 15
3
8.
Lectures,
Recitation,
Practical Sessions.
Lectures,
Recitation,
Practical Sessions.
Partial differential equations
Engineering Application
Numerical Analysis Application
SCHEDULE OF LABORATORY SESSIONS AND READINGS
Date
Class
Hours
Week 1
2
Week 2
2
Week 3
2
Week 4
2
Week 5
2
Week 6
2
Week 7
Week 8
Week 9
Week 10
Week 11
2
2
2
2
2
Week 12
2
Week 13
2
Week 14
2
Week 15
2
Topic
Teaching
Methods
Matrix Manipulation with MATLAB
Practical Sessions.
For/While Loops and if conditions MATLAB coding
Functions and Plotting with MATLAB
Simulation of Electrical and
Electronics Circuits with MATLAB
Solving Electrical and Electronics
Circuits using Numerical Analysis
Methods and MATLAB
Interpolation and Curve fitting in
MATLAB
Approximation in MATLAB
Code writing in MATLAB
LAB EXAM
Nonlinear equations in MATLAB
Fourier Analysis in MATLAB
Numerical Integration/
Differentiation in MATLAB
Ordinary differential equations in
MATLAB
Partial differential equations in
MATLAB
Introduction to GUI using MATLAB
Reading
Practical Sessions.
Practical Sessions.
Practical Sessions.
Practical Sessions.
Practical Sessions.
Practical Sessions.
Practical Sessions.
Practical Sessions.
Practical Sessions.
Practical Sessions.
Practical Sessions.
Practical Sessions.
Practical Sessions.
Practical Sessions.
Plagiarism Notice: Plagiarism is a serious academic offense. Plagiarism is a form of cheating in which
a student tries to pass off someone else's work or part of it as his or her own. It usually takes the
form of presenting thoughts, terms, phrases, passages from the work of others as one's own. When
it occurs it is usually found in essays, research papers or term papers. Typically, passages or ideas are
'lifted' from a source without proper credit being given to the source and its author. To avoid
suspicion of plagiarism you should use appropriate references and footnotes. If you have any doubt
as to what constitutes plagiarism you should consult your instructor. You should be aware that there
are now internet tools that allow each submitted paper to be checked for plagiarism. Remember
plagiarism is serious and may result in a reduced or failing grade or other disciplinary actions.
Cheating: Cheating in any form whatsoever is unacceptable and will subject you to IBU disciplinary
procedures. Cheating includes signing in others for attendance, exams or anything else; using
prohibited electronic and paper aides; having others do your work; having others do your work,
copying from others or allowing others to copy from you etc. Please do not cheat in any way! Please
consult me if you have any questions.
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