BAYBURT University Information Package / Course Catalogue

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Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
İ212B3Numerical MethodsCompulsory243
Level of Course Unit
First Cycle
Objectives of the Course
To provide students with the knowledge and skills to effectively apply numerical methods and techniques to solve engineering problems in the field of civil engineering.
Name of Lecturer(s)
Doç. Dr. Erdal ÖNER
Learning Outcomes
1Gain a comprehensive understanding of various numerical methods used in civil engineering such as numerical integration, numerical derivative, root-finding methods, interpolation and curve fitting.
2Can learn how to apply numerical techniques to solve civil engineering problems.
3Understand the importance of error analysis in numerical calculations and learn techniques for estimating and controlling errors in numerical solutions.
4Develop programming skills in software packages used for numerical analysis.
5Can understand matrix operations and applications in solving eigenvalue problems encountered in civil engineering.
6Can learn to construct mathematical models for civil engineering problems and use numerical methods to obtain approximate solutions.
Mode of Delivery
Normal Education
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
Error Analysis, Methods of Solving Non-Linear Equations: Divide Method, Regula-Falsi Method, Simple Iteration Method, Newton-Raphson Method, Solution of Systems of Linear Equations: Gauss Elimination Method, Cramer's Rule, Gauss-Jordan Method, LU Derivative Numerical Method, Numerical Sequence Method of LU, Numerical Sequence of Jacobi, Cholesky Method, Jacobi Method.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Error Analysis
2Methods of Solving Nonlinear Equations: The Method of Dividing by Two
3Methods of Solving Nonlinear Equations: The Regula-Falsi Method
4Methods of Solving Nonlinear Equations: Simple Iteration Method
5Methods of Solving Nonlinear Equations: Newton-Raphson Method
6Solving Systems of Linear Equations: Gaussian Elimination Method
7Solving Systems of Linear Equations: Cramer's Rule
8Midterm
9Solving Systems of Linear Equations: Gauss-Jordan Method
10LU Separation Method
11Cholesky Method
12Jacobi Method
13Gauss-Seidel Method
14Numerical Integral
15Numerical Derivative
Recommended or Required Reading
1. Mehmet BAKİOĞLU, Numerical Analysis, Birsen Publishing House, 2011 2. İrfan KARAGÖZ, Numerical Analysis and Engineering Applications, Dora Publishing, 2017 3. Behiç ÇAĞAL, Numerical Analysis, Birsen Publishing House, 2000 4. Steven C. Chapra , Raymond P. Canale , Hasan Heperkan (Translator) , Uğur Kesgin (Translator), Numerical Methods for Engineers with Software and Programming Applications, Literature Publishing, 2003 5. Gabil AMİRALİ, İlhame AMİRALİ, Numerical Analysis, Seçkin Publishing, 2018 6. Zekeriya ALTAÇ, Numerical Analysis with Pseudo Programs, Dora Publishing, 2019 7. Francis Scheid, Numerical Analysis, Nobel Publishing, 2000
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
Midterm Examination1100
SUM100
End Of Term (or Year) Learning ActivitiesQuantityWeight
Final Examination1100
SUM100
Term (or Year) Learning Activities40
End Of Term (or Year) Learning Activities60
SUM100
Language of Instruction
Turkish
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination111
Final Examination122
Attending Lectures14342
Self Study14228
Individual Study for Mid term Examination133
Individual Study for Final Examination144
Homework10110
TOTAL WORKLOAD (hours)90
Contribution of Learning Outcomes to Programme Outcomes
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* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High