Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Numerical Analysis MM232 Turkish Compulsory 4. Semester 3 + 0 3.0 3.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery
Course Coordinator Arş. Gör. Rıdvan ONGUN
Instructor(s)
Goals
Course Content
Learning Outcomes
# Öğrenme Kazanımı
1 Finding roots of functions
2 Finding approximate values of functions
3 Calculating integrals
4 Solving some differential equations
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Introduction to the numerical methods and error analysis
2. Week Series
3. Week Lineer equation systems
4. Week Eigenvalues and eigenvectors
5. Week Non-lineer equations
6. Week Interpolation and extrapolation
7. Week least squares criterion
8. Week Midterm exam
9. Week Chebyshev approach and Fourier approach
10. Week Numerical derivative
11. Week Numerical integration
12. Week Initial value problem in ordinary differential equations
13. Week Boundary and eigenvalue problems in ordinary differential equations
14. Week Numerical solutions of partial differential equations
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
The Matrix for Course & Program Learning Outcomes
No Program Requirements Level of Contribution
1 2 3 4 5
1 Sufficient knowledge in mathematics, science, and discipline-specific engineering topics; the ability to apply theoretical and practical knowledge in these areas to solve complex engineering problems.
2 The ability to identify, formulate, and solve complex engineering problems; the ability to select and apply appropriate analysis and modeling methods for this purpose.
3 The ability to design a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions; the ability to apply modern design methods for this purpose.
4 The ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications; the ability to effectively use information technologies.
6 The ability to work effectively in intra-disciplinary and multi-disciplinary teams; the ability to work individually.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4
PY1 4 4 4 4
PY2 3 3 3 3
PY3 2 2 2 2
PY4 3 3 3 3
PY6 2 2 2 2
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • [1] Numerical Analysis, Prof. Dr. Mehmet BAKİOĞLU, 2nd Edition, Birsen Publishing. [2] Numerical Analysis, Prof. Dr. Behiç ÇAĞAL, 1st Edition, Birsen Publishing. [3] Numerical Analysis Problems, Prof. Dr. Mehmet Bakioğlu, Assoc. Prof. Dr. Fethi Kadıoğlu, Dr. Barış Barlas, Res. Asst. Arcan Yanık, 1st Edition, Birsen Publishing
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Sınavlar
Midterm 1 1 1 1
Final 1 1 1
Total Workload 2
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 3.0