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FACULTY of ENGINEERING / DEPARTMENT of ELECTRICAL and ELECTRONICS ENGINEERING / (30%) English
Katalog Ana Sayfa
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EEE3007Numerical Analysis3+0+0ECTS:4
Year / SemesterFall Semester
Level of CourseFirst Cycle
Status Elective
DepartmentDEPARTMENT of ELECTRICAL and ELECTRONICS ENGINEERING
Prerequisites and co-requisitesNone
Mode of Delivery
Contact Hours14 weeks - 3 hours of lectures per week
LecturerDr. Öğr. Üyesi Mehmet ÖZTÜRK
Co-Lecturer
Language of instruction
Professional practise ( internship ) None
 
The aim of the course:
Introduction of the Numerical Solutions and constructing a basis for the other numerical lectures.
 
Learning OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
LO - 1 : Know the differences between Numerical Analysis and Analytical Analysis.2,3,4,121,
LO - 2 : Calculate the roots of functions / polynomials.2,3,4,121,
LO - 3 : Numerically solve differential and integral calculation problems.2,3,4,121,
LO - 4 : Solve linear equation sets.2,3,4,121,
LO - 5 : Numerically solve solutions of ordinary differential equations.2,3,4,121,
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome

 
Contents of the Course
Chapt. -1: Introduction; Basic concepts and definitions Chapt. -2: Errors in Numerical Analysis Chapt. -3: Matrixes Chapt. -4: Solutions of the Equations in One Variable and the Equation Systems Chapt. -5: Taylor Series and Finite Differences Chapt. -6: Interpolations, Extrapolations Chapt. -7: Numerical Differentiation Chapt. -8: Numerical Integration Chapt. -9: Numerical Solutions of the Ordinary Differential Equations Chapt. -10: Least Square Method and Curve Fitting
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Approximation and Round-off Errors, Significant Figures, Accuracy and Precision, Error Definitions, Round-Off Errors, The Taylor Series
 Week 2The Bisection Method, Simple Fixed-Point Iteration, The Newton-Raphson Method, The Secant Method, Multiple Roots
 Week 3Roots of Polynomials, Conventional Methods, Müller’s Method, Bairstow’s Method
 Week 4Cramer's rule, Naive Gauss Elimination, Gauss-Jordan, The Matrix Inverse
 Week 5LU Decomposition, Gauss-Seidel, Cholesky decomposition
 Week 6Linear Regression, Polynomial Regression, General Linear Least Squares
 Week 7Newton’s Divided-Difference Interpolating Polynomials, Lagrange Interpolating Polynomials, Coefficients of an Interpolating Polynomial, Inverse Interpolation
 Week 8High-Accuracy Differentiation Formulas, Richardson Extrapolation, Derivatives of Unequally Spaced Data
 Week 9Mid-term exam
 Week 10The Trapezoidal Rule, Simpson’s Rules, Integration with Unequal Segments, Open Integration Formulas
 Week 11Multiple Integrals, Newton-Cotes Algorithms for Equations, Improper Integrals
 Week 12Ordinary Differential Equations, Euler’s Method, Improvements of Euler’s Method
 Week 13Runge-Kutta Methods, Adaptive Runge-Kutta Methods
 Week 14Partial Differential Equations
 Week 15The Laplace Equation, Solution Technique, Boundary Conditions
 Week 16End-of-term exam
 
Textbook / Material
1Chapra, Steven,Canale Raymond,1985,Numerical Methods For Engineers,McGrawHill,İSBN 0 07 010664-9
 
Recommended Reading
1Akpınar, A.Sefa,2008,Sayısal Çözümleme,KTÜ Mühendislik Fakültesi Fakülte Ders Notları Serisi No::2,Trabzon
2Akpınar, A.Sefa,Kürüm, Hasan,2005,Sayısal Çözümleme,Nobel Basımevi,Kitap,Yayın No:26
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 1,5 50
End-of-term exam 16 1,5 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 3 14 42
Sınıf dışı çalışma 2 14 28
Arasınav için hazırlık 2 7 14
Arasınav 1.5 1 1.5
Dönem sonu sınavı için hazırlık 2 7 14
Dönem sonu sınavı 1.5 1 1.5
Diğer 1 2 7 14
Total work load115