Lesson plan / NUMERICAL ANALYSIS

Lesson Information

Course Credit 3.0
Course ECTS Credit 3.0
Teaching Language of Instruction İngilizce
Level of Course Bachelor's Degree, TYYÇ: Level 6, EQF-LLL: Level 6, QF-EHEA: First Cycle
Type of Course Compulsory
Mode of Delivery Face-to-face
Does the course require compulsory or optional work experience? Z
Course Coordinator
Instructor (s)
Course Assistant

Purpose and Content

The aim of the course This course introduces basic methods, algorithms and programming techniques to solve mathematical problems. The course is designed for students to learn how to develop numerical methods and estimate numerical errors using basic calculus concepts and results.
Course Content This course covers the Round-off Errors and Computer Arithmetic: Binary Machine Numbers, Decimal Machine Numbers, Rate of Convergence,The Bisection Method; Fixed-Point Iteration The Newton's Method; The Secant Method,The Method of False Position; Error Analysis for Iterative Methods; Accelerating Convergence,Interpolation and the Lagrange Polynomial,Data Approximation and Neville's Method,Divided Differences: Forward, Backward and Centered Differences Numerical Differentiation: Three and Five Point Formulas Numerical Integration,Numerical Differentiation: Second Derivative Midpoint Formula; Round-Off Error Instability,Numerical Integration: the Trapezoidal and Simpson's Rule , Romberg Integration, Adaptive Quadrature Methods, Gaussian Quadrature,Numerical Integration: Open and Closed Newton-Cotes Formulas,Numerical Integration: Composite Numerical Integration and Round-Off Error Stability.

Weekly Course Subjects

1Round-off Errors and Computer Arithmetic: Binary Machine Numbers,
2Decimal Machine Numbers, Rate of Convergence
3The Bisection Method; Fixed-Point Iteration,The Newton's Method; The Secant Method.
4The Method of False Position; Error Analysis for Iterative Methods; Accelerating Convergence
5Interpolation and the Lagrange Polynomial
6Data Approximation and Neville's Method,Divided Differences: Forward, Backward and Centered Differences
7Numerical Differentiation: Three and Five Point Formulas Numerical Integration. Midterm.
8Numerical Differentiation: Second Derivative Midpoint Formula.
9Round-Off Error Instability.Meadterm exam.
10Numerical Integration: the Trapezoidal and Simpson's Rule.
11Numerical Integration:Romberg Integration.
12Adaptive Quadrature Methods, Gaussian Quadrature.
13Numerical Integration: Open and Closed Newton-Cotes Formulas.
14Numerical Integration: Composite Numerical Integration and Round-Off Error Stability.

Resources

1.Çağal, B.,Sayısal Analiz,Birsen Yayın evi,1998.
2.Türker,E. S.,Bilgisayar Uygulamalı Sayısal Analiz Yöntemleri,Adapazarı,1997.
3.Cheney,W. & Kincaid, D.,Numerical Analysis,Brooks,1996.