Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Numerical Analysis ENM209 Turkish Compulsory 3. Semester 3 + 0 3.0 5.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery
Course Coordinator Öğr. Gör. Buşra KESİCİ
Instructor(s) Öğr. Gör. Buşra KESİCİ (Güz)
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
# Öğrenme Kazanımı
1 Understanding the error types
2 Understanding numerical approximations
3 Solving linear systems and nonlinear equations numerically
4 Able to calculate derivatives, integrals and solve differential systems numerically
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Introduction to numerical analysis, numerical methods, errors Interview
2. Week olutions of linear equations (Cremer Method, Gauss Elimination Method) Interview
3. Week Solutions of linear equations (Gauss Jourdan Method, Crouth Components Method) Interview
4. Week Linear Equation Solutions (Jacobi repetition Method, Gauss Seidel Method Interview
5. Week Eigenvalues eigenvectors Interview
6. Week Finding the root of a nonlinear equation (bisection, faulty point, beam methods) Interview
7. Week Finding the root of nonlinear equation (newton Raphson, fixed point iteration methods) Interview
8. Week Finding the root of nonlinear equation (newton Raphson, fixed point iteration methods) Interview
9. Week Solution of nonlinear systems of equations (Newton Raphson and fixed point iteration methods) Interview
10. Week Interpolation (forward difference and split difference interpolation, Gregory Newton Interpolation Methods) Interview
11. Week Interpolation (least squares method) Interview
12. Week Numerical Derivative Interview
13. Week Numerical Integral Interview
14. Week Numerical solutions of differential equations Interview
*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 To have theoretical and / or practical knowledge in the field of mathematics, science, social sciences, engineering and / or industrial engineering, and the ability to use this knowledge to model and solve engineering problems
2 Gaining the ability to work actively in projects and projects aimed at professional development in both individual and multidisciplinary groups and taking responsibility in situations that may arise in this process
3 Knowledge of at least one foreign language at a level that will enable communication with colleagues in the field and follow current developments; ability to write and understand written reports effectively, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions.
4 To be individuals who are sensitive to universal and social values, have knowledge of professional and ethical responsibilities and standards used in engineering practices.
5 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.
6 Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics.
7 Ability to select and use modern techniques and tools necessary for the identification, formulation, analysis and solution of complex problems encountered in engineering applications; ability to use information technologies effectively.
8 Knowledge of business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; knowledge of sustainable development.
9 Knowledge of the universal and societal impacts of engineering practices on health, environment and safety, and contemporary issues reflected in the field of engineering; awareness of the legal consequences of engineering solutions, the necessity of lifelong learning and the ability to continuously renew oneself.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4
PY1 4 5 5 5
PY2 2 3 2 2
PY3 1 2 1 1
PY4 1 1 1 2
PY5 4 5 5 5
PY6 5 5 4 5
PY7 5 4 5 5
PY8 5 5 5 5
PY9 2 1 2 2
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • Textbook: • Numerical Analysis and Engineering Applications, İrfan Karagöz, Nobel Academic Publishing, 2011.• Numerical Methods and Matlab Applications, Karaboğa N., Nobel Academic Publishing, 2017.
Evaluation Method
Güz Dönemi
Responsible Personnel Grup Evaluation Method Percentage
Öğr. Gör. Buşra KESİCİ Vize 40.00
Öğr. Gör. Buşra KESİCİ Final 60.00
Toplam 100.00
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 14 3 42
Sınavlar
Midterm 1 1 39.5 39.5
Final 1 46 46
Total Workload 127.5
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 5.0