Course Information

Course Information
Course Title Code Semester L+U Hour Credits ECTS
Numerical Analysis BM229 3. Semester 3 + 0 3.0 3.0
Prerequisite Courses None
Language of Instruction Turkish
Course Level Undergraduate
Course Type
Mode of delivery Oral presentation, visual presentation and question and answer
Course Coordinator
Instructor(s) Sümeyye BAYRAKDAR
Assistants
Goals Teaching the numerical solution methods and algorithms of the Engineering problems
Course Content Introduction to Numerical Analysis; Errors in Numerical Calculations; Error Sources; Roots of Equations; Numerical Solutions of Systems of Linear Equations; Solutions of Systems of Nonlinear Equations; Curve Fitting; Regression; Interpolation; Numerical Differentiation and Integration; Numerical Solutions of Ordinary Differential Equations.
Learning Outcomes - Detecting approximate solutions, detecting error concept, recognizing error types and detecting relationships between computer arithmetic and error.
- Recognizing general and matrix forms of systems of equations, understanding and applying determinant, minor, cofactor concepts, elementary matrix operations.
- Gain the ability to recognize and apply the numerical solution methods of linear equation systems.
- Gain the ability to recognize and apply the solution methods of nonlinear systems of equations.
- Gain the ability to understand the concept and methods of interpolation and apply it to different problems.
- Gain the ability to recognize and apply curve fitting methods.
- To gain the ability to understand and apply numerical derivative and integral solution methods.
- Gaining the ability to understand and apply numerical solution methods of differential equations.
- Gain the ability to develop algorithms for all approaches and to design and implement in MATLAB environment.
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Introduction to numerical analysis, numerical methods and the errors Practice Course Hours Verbal Expression Visual Presentation
2. Week Establishing an algorithm and introducing the algorithm sub-units. Verbal Expression Course Hours Visual Presentation Practice
3. Week Matrices and matrix operations Verbal Expression Visual Presentation Practice Course Hours
4. Week The solution methods of linear equation systems-1 Visual Presentation Practice Verbal Expression Course Hours
5. Week The solution methods of linear equation systems-2 Course Hours Practice Verbal Expression Visual Presentation
6. Week The solution methods of non-linear equation systems-1 Visual Presentation Course Hours Verbal Expression Practice
7. Week The solution methods of non-linear equation systems-2 Course Hours Practice Verbal Expression Visual Presentation
8. Week Interpolation Visual Presentation Course Hours Verbal Expression
9. Week Curve fitting Course Hours Verbal Expression Visual Presentation Practice
10. Week Curve fitting, interpolation and extrapolation methods Verbal Expression Practice Visual Presentation Course Hours
11. Week Numerical differentiation methods Verbal Expression Visual Presentation Practice Course Hours
12. Week Numerical integration methods Visual Presentation Practice Course Hours Verbal Expression
13. Week Solution methods of differential equations-1 Course Hours Verbal Expression Visual Presentation Practice
14. Week Solution methods of differential equations-2 Course Hours Visual Presentation Verbal Expression Practice
Recommended Sources
Lecture Notes
Relations with Education Attainment Program Course Competencies
Program Requirements Contribution Level DK1 DK2 DK3 DK4 DK5 DK6 DK7 DK8 DK9 Measurement Method
PY1 4 0 0 0 0 0 0 0 0 0 -
PY2 4 0 0 0 0 0 0 0 0 0 -
PY3 4 0 0 0 0 0 0 0 0 0 -
PY4 3 0 0 0 0 0 0 0 0 0 -
PY5 4 0 0 0 0 0 0 0 0 0 -
PY6 5 0 0 0 0 0 0 0 0 0 -
PY7 4 0 0 0 0 0 0 0 0 0 -
PY8 4 0 0 0 0 0 0 0 0 0 -
PY9 4 0 0 0 0 0 0 0 0 0 -
PY10 4 0 0 0 0 0 0 0 0 0 -
*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
Preparation, After Class Study 1 1.5 1.5
Verbal Expression 14 1 14
Visual Presentation 14 1 14
Midterm 1 1 2 2
Final 1 3 3
Total Workload 76.5
ECTS Credit of the Course 3.0