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INS2039 | INS2021 Numerical Analysis | 2+1+0 | ECTS:3 | Year / Semester | Fall Semester | Level of Course | First Cycle | Status | Compulsory | Department | DEPARTMENT of CIVIL ENGINEERING | Prerequisites and co-requisites | None | Mode of Delivery | | Contact Hours | 14 weeks - 2 hours of lectures and 1 hour of practicals per week | Lecturer | Doç. Dr. Barbaros ATMACA | Co-Lecturer | DOCTOR LECTURER Barbaros ATMACA,ASSOC. PROF. DR. Temel TÜRKER, | Language of instruction | Turkish | Professional practise ( internship ) | None | | The aim of the course: | The course aims to teach the numerical solution techniques, and to provide a background to solve engineering problems. |
Learning Outcomes | CTPO | TOA | Upon successful completion of the course, the students will be able to : | | | LO - 1 : | solve the equation using the numerical analysis method. | 1,2 | 1 | LO - 2 : | learn the rules of numerical differentiation and numerical integration | 1,2 | 1 | LO - 3 : | learn the algorithm for programming | 1,2 | 1 | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome | |
Basic Principles and Error Analysis, Roots of Equations, Solution of Algebraic Equation Systems, Numerical Integration and Differentiation |
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Course Syllabus | Week | Subject | Related Notes / Files | Week 1 | Basic Principles and Error Analysis, Roots of Equations | | Week 2 | Roots of Equations: Fixed-point iteration, Newton-Raphson Method | | Week 3 | Roots of Equations: Regula-Falsi Method | | Week 4 | Solution of Linear Equation Systems: Gauss Elimination Method | | Week 5 | Solution of Linear Equation Systems: Gauss-Seidel Method | | Week 6 | Solution of Non-Linear Equation Systems: Newton-Raphson Method | | Week 7 | Curve Fitting: Least Squares Method | | Week 8 | Curve Fitting: Least Squares Method | | Week 9 | Mid-term exam | | Week 10 | Curve Fitting: Interpolation | | Week 11 | Curve Fitting: Interpolation | | Week 12 | Numerical Integration | | Week 13 | Numerical Integration | | Week 14 | Numerical Differentiation | | Week 15 | Numerical Differentiation | | Week 16 | End-of-term exam | | |
1 | Bakioğlu, Mehmet, Sayısal Analiz, Birsen Yayınevi, 2011. | | 2 | Bakioğlu Mehmet; Kadıoğlu Fethi; Barlas, Barış; Yanık, Arcan, Sayısal Analiz Problemleri, Birsen Yayınevi, 2011. | | |
Method of Assessment | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | Mid-term exam | 9 | 28.11.2020 | 2 | 50 | End-of-term exam | 16 | 03.02.2021 | 2 | 50 | |
Student Work Load and its Distribution | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | Yüz yüze eğitim | 3 | 14 | 42 | Sınıf dışı çalışma | 7 | 14 | 98 | Laboratuar çalışması | 0 | 0 | 0 | Arasınav için hazırlık | 7 | 1 | 7 | Arasınav | 2 | 1 | 2 | Klinik Uygulama | 0 | 0 | 0 | Ödev | 0 | 0 | 0 | Proje | 0 | 0 | 0 | Dönem sonu sınavı için hazırlık | 7 | 1 | 7 | Dönem sonu sınavı | 2 | 1 | 2 | Diğer 1 | 0 | 0 | 0 | Diğer 2 | 0 | 0 | 0 | Total work load | | | 158 |
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