Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Numerical Analysis BM229 Turkish Compulsory 3. Semester 3 + 0 3.0 3.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery Oral presentation, visual presentation and question and answer
Course Coordinator Dr. Öğr. Üyesi Tuba KARAGÜL YILDIZ, Dr. Öğr. Üyesi Sümeyye BAYRAKDAR
Instructor(s) Dr. Öğr. Üyesi Sümeyye BAYRAKDAR (Güz)
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
# Öğrenme Kazanımı
1 Detecting approximate solutions, detecting error concept, recognizing error types and detecting relationships between computer arithmetic and error.
2 Recognizing general and matrix forms of systems of equations, understanding and applying determinant, minor, cofactor concepts, elementary matrix operations.
3 Gain the ability to recognize and apply the numerical solution methods of linear equation systems.
4 Gain the ability to recognize and apply the solution methods of nonlinear systems of equations.
5 Gain the ability to understand the concept and methods of interpolation and apply it to different problems.
6 Gain the ability to recognize and apply curve fitting methods.
7 To gain the ability to understand and apply numerical derivative and integral solution methods.
8 Gaining the ability to understand and apply numerical solution methods of differential equations.
9 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 Interview Presentation (Preparation) Class Hours
2. Week Establishing an algorithm and introducing the algorithm sub-units. Presentation (Preparation) Class Hours Practice Interview
3. Week Matrices and matrix operations Presentation (Preparation) Practice Interview Class Hours
4. Week The solution methods of linear equation systems-1 Class Hours Presentation (Preparation) Interview Practice
5. Week The solution methods of linear equation systems-2 Interview Practice Presentation (Preparation) Class Hours
6. Week The solution methods of non-linear equation systems-1 Class Hours Practice Presentation (Preparation) Interview
7. Week The solution methods of non-linear equation systems-2 Interview Presentation (Preparation) Practice Class Hours
8. Week Interpolation Class Hours Interview Presentation (Preparation)
9. Week Curve fitting Interview Presentation (Preparation) Class Hours Practice
10. Week Curve fitting, interpolation and extrapolation methods Practice Class Hours Interview Presentation (Preparation)
11. Week Numerical differentiation methods Practice Presentation (Preparation) Interview Class Hours
12. Week Numerical integration methods Practice Interview Presentation (Preparation) Class Hours
13. Week Solution methods of differential equations-1 Class Hours Interview Presentation (Preparation) Practice
14. Week Solution methods of differential equations-2 Interview Practice Presentation (Preparation) Class Hours
*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 Adequate knowledge of mathematics, science and related engineering disciplines; Ability to use theoretical and applied knowledge in these fields in complex engineering problems
2 Ability to identify, define, formulate and solve complex engineering problems; for this purpose, the ability to select and apply appropriate analysis and modeling methods
3 Knowledge and awareness about the management, control, development and security/reliability of Information Technologies
4 Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; for this purpose, the ability to apply modern design methods
5 Awareness of the necessity of lifelong learning; ability to access information, follow developments in science and technology, and constantly renew oneself
6 Ability to design and conduct experiments, collect data, analyze and interpret results for the investigation of complex engineering problems or discipline-specific research topics
7 Ability to work effectively in disciplinary and multi-disciplinary teams; individual study skills
8 Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering practice; Ability to use information technologies effectively
9 Knowledge of the effects of engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering; awareness of the legal consequences of engineering solutions
10 Ability to communicate effectively in Turkish orally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4 DK5 DK6 DK7 DK8 DK9
PY1 4 4 4 4 4 4 4 4 4
PY2 4 4 4 4 4 4 4 4 4
PY3 4 4 4 4 4 4 4 4 4
PY4 3 3 3 3 3 3 3 3 3
PY5 4 4 4 4 4 4 4 4 4
PY6 5 5 5 5 5 5 5 5 5
PY7 4 4 4 4 4 4 4 4 4
PY8 4 4 4 4 4 4 4 4 4
PY9 4 4 4 4 4 4 4 4 4
PY10 4 4 4 4 4 4 4 4 4
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • Lecture Notes
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 14 3 42
Ders Dışı
Preparation, After Class Study 1 1.5 1.5
Interview 14 1 14
Presentation (Preparation) 14 1 14
Sınavlar
Midterm 1 1 2 2
Final 1 3 3
Total Workload 76.5
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 3.0