PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
MENG 222	NUMERICAL ANALYSIS	4 + 0	4th Semester	4,5

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Compulsory
Course Objective	The primary aim is to introduce students to numerical methods and to teach how to analyze and solve engineering problems using these techniques. Students alsa learn make algorithms for solution of engineering problems and to implement them in computer . The course alsa contributes to analytical methods that are learned in previous semesters.
Course Content	Introduction to numerical analysis, Matlab operations that are needed in numerical calculations; Source of numerical errors; Roots of equations; Linear and nonlinear algebraic equations; Curve fitting; Regression; Interpolation; Numerical differentiation and integration; Numerical Solutions of Ordinary Differential Equations.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Numerical solution of complex or difficult problems which can not be solved analytically. Calculation Errors. Numerical solutions of nonlinear Equations or nonlinear system of equations.
2	Regressions and Interpolation, Curve fitting, iterative solution of linear Systems of Equation

COURSE'S CONTRIBUTION TO PROGRAM

Data not found.

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	4	56
Hours for off-the-classroom study (Pre-study, practice)	14	2	28
Mid-terms	1	15	15
Final examination	1	18	18
Total Work Load ECTS Credit of the Course			117 4,5

COURSE DETAILS

Select Year

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
MENG 222	NUMERICAL ANALYSIS	4 + 0	5	Turkish	2023-2024 Spring

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Assoc. Prof. Dr. ALİ KURT	akurt@pau.edu.tr		MUH B0024 SABF C0106	%70

Goals		The primary aim is to introduce students to numerical methods and to teach how to analyze and solve engineering problems using these techniques. Students alsa learn make algorithms for solution of engineering problems and to implement them in computer . The course alsa contributes to analytical methods that are learned in previous semesters.
Content		Introduction to numerical analysis, Matlab operations that are needed in numerical calculations; Source of numerical errors; Roots of equations; Linear and nonlinear algebraic equations; Curve fitting; Regression; Interpolation; Numerical differentiation and integration; Numerical Solutions of Ordinary Differential Equations.

Topics

Weeks	Topics
1	Basic concepts
2	Computer arithmetic, Taylor series expansion.
3	Bisection method, Newton’s method
4	Bisection method, Newton’s method
5	Secant method, Fixed point iteration, Zeros of polynomials
6	Finite Differences
7	Finite Differences
8	Divided differences, Equispaced interpolation,Polinomial interpolation
9	Divided differences, Equispaced interpolation
10	Extrapolation, Curve fitting
11	Solutions of linear systems of equations
12	Solutions of linear systems of equations
13	Numerical differentiation and integration
14	Numerical differentiation and integration

Materials

Materials are not specified.

Resources

Resources	Resources Language
Numerical Methods for Mathematics, Science, and Engineering, 2nd Edition, John H. Mathews, Prentice Hall International Edition, 1992.	English
Numerical Analysis, Brooks/Cole, 7th Edition, Richard L. Burden, J. Douglas Faires, 2001	English
Sayısal Yöntemler ve Matlab Uygulamaları, Nurhan Karaboğa, Nobel Yayınevi, 2019.	Türkçe

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Final Exam	60	Final Exam
Midterm Exam	40	Midterm Exam

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student