At the end of this course, the students; 1) Ability to evaluate complicated mechanical problems numerically. 2) Solving set of linear and non linear equations of mechanical problems numerically. 3) Determining characteristics and behaviors of test data taken from the experiments of mechanical systems. 4) To find a approximate solution to mechanical problems involving complicated functions by the method of using simplified functions. 5) To gain experience on numerically analyzing and solving the problems having integration and differentiation terms that are impossible to solve analytically.
MODE OF DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
Yes(MAT209)
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
None
COURSE DEFINITION
Modeling, Truncation and rounding errors. Taylor series. Roots of equations: Bracketing and Open methods. Matrices. Solutions of linear algebraic equations; Gauss elimination and decomposition methods. Special matrices and methods for matrix inversion. Solutions of nonlinear system of equations. Curve fitting; least square approximation, Interpolation. Numerical differentiation and integration.
COURSE CONTENTS
WEEK
TOPICS
1st Week
Introduction to numerical analysis, iterations, errors, decimal places
2nd Week
Roots of equations, bracketing methods
3rd Week
Roots of equations, open methods
4th Week
Solutions of linear algebraic equations, Gauss elimination
5th Week
Solutions of linear algebraic equations, LU decomposition
6th Week
Solutions of nonlinear algebraic equations, Jacobian matrice,Gauss-Seidel
7th Week
Numerical solution of eigenvalue and eigenvector problems, Power method
8th Week
Least square approximation
9th Week
Interpolation, Newton and Lagrange polynomial
10th Week
Numerical differentiation
11th Week
Numerical integration, trapezoid ve Simpsons methods
12th Week
Method of undetermined coefficients, Gaussian Quadrature
13th Week
Numerical solutions of ordinary differential equations, initial values
14th Week
Numerical solutions of ordinary differential equations, boundary values
RECOMENDED OR REQUIRED READING
S.C. Chapra, R.P. Canale, Mühendisler İçin Sayısal Yöntemler J.D. Hoffman, Numerical Methods for Engineers and Scientists
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
Lecture,Questions/Answers,Problem Solving
ASSESSMENT METHODS AND CRITERIA
Quantity
Percentage(%)
Mid-term
1
35
Assignment
4
10
Quiz
5
10
Total(%)
55
Contribution of In-term Studies to Overall Grade(%)
55
Contribution of Final Examination to Overall Grade(%)
45
Total(%)
100
ECTS WORKLOAD
Activities
Number
Hours
Workload
Midterm exam
1
2
2
Preparation for Quiz
4
1
4
Individual or group work
14
,5
7
Preparation for Final exam
1
12
12
Course hours
14
4
56
Preparation for Midterm exam
1
8
8
Laboratory (including preparation)
Final exam
1
2,5
2,5
Homework
4
8
32
Quiz
4
,5
2
Total Workload
125,5
Total Workload / 30
4,18
ECTS Credits of the Course
4
LANGUAGE OF INSTRUCTION
English
WORK PLACEMENT(S)
No
KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)