Course Information

Course Information
Course Title Code Semester L+U Hour Credits ECTS
Numerical Analysis ENM209 3. Semester 3 + 0 3.0 5.0
Prerequisites None
Language of Instruction Turkish
Course Level Undergraduate
Course Type
Mode of delivery
Course Coordinator Lect. Buşra KESİCİ
Instructors Buşra KESİCİ
Assistants
Goals The aim of this course is to explain the use of numerical methods for mathematical expressions that require numerical solutions to engineering problems. The solutions of linear and nonlinear equations, and alternative methods for solving various engineering problems by using different mathematical methods such as interpolation, numerical integration, numerical differentiation.
Course Content Roots of Equations, Linear Equation Equations, Interpolation and Curve Fitting, Numerical Differentiation and Numerical Integral, Numerical Solutions of Ordinary Differential Equations, Numerical Solution of Partial Differential Equations
Learning Outcomes - Understanding the error types
- Understanding numerical approximations
- Solving linear systems and nonlinear equations numerically
- Able to calculate derivatives, integrals and solve differential systems numerically
Weekly Topics (Content)
Week Topics Learning Methods
1. Week Introduction to numerical analysis, numerical methods, errors Verbal Expression Course Hours
2. Week olutions of linear equations (Cremer Method, Gauss Elimination Method) Course Hours Verbal Expression
3. Week Solutions of linear equations (Gauss Jourdan Method, Crouth Components Method) Verbal Expression Course Hours
4. Week Linear Equation Solutions (Jacobi repetition Method, Gauss Seidel Method Course Hours Verbal Expression
5. Week Eigenvalues eigenvectors Verbal Expression Course Hours
6. Week Finding the root of a nonlinear equation (bisection, faulty point, beam methods) Verbal Expression Course Hours
7. Week Finding the root of nonlinear equation (newton Raphson, fixed point iteration methods) Course Hours Verbal Expression
8. Week Finding the root of nonlinear equation (newton Raphson, fixed point iteration methods) Course Hours Verbal Expression
9. Week Solution of nonlinear systems of equations (Newton Raphson and fixed point iteration methods) Verbal Expression Course Hours
10. Week Interpolation (forward difference and split difference interpolation, Gregory Newton Interpolation Methods) Course Hours Verbal Expression
11. Week Interpolation (least squares method) Course Hours Verbal Expression
12. Week Numerical Derivative Verbal Expression Course Hours
13. Week Numerical Integral Verbal Expression Course Hours
14. Week Numerical solutions of differential equations Course Hours Verbal Expression
Recommended Sources
Textbook: • Numerical Analysis and Engineering Applications, İrfan Karagöz, Nobel Academic Publishing, 2011.• Numerical Methods and Matlab Applications, Karaboğa N., Nobel Academic Publishing, 2017.
Relations with Education Attainment Program Course Competencies
Program Requirements Contribution Level DK1 DK2 DK3 DK4 Measurement Method
PY1 5 4 5 5 5 -
PY2 2 2 3 2 2 -
PY3 1 1 2 1 1 -
PY4 1 1 1 1 2 -
PY5 5 4 5 5 5 -
PY6 5 5 5 4 5 -
PY7 4 5 4 5 5 -
PY8 5 5 5 5 5 -
PY9 2 2 1 2 2 -
*DK = Course's Contrubution.
0 1 2 3 4 5
Course's Level of contribution None Very Low Low Fair High Very High
Method of assessment/evaluation Written exam Oral Exams Assignment/Project Laboratory work Presentation/Seminar
ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Hours 14 3 42
Midterm 1 1 39.5 39.5
Final 1 46 46
Total Workload 127.5
ECTS Credit of the Course 5.0