| Semester | Course Unit Code | Course Unit Title | T+P+L | Credit | Number of ECTS Credits |
| 6 | ME354 | NUMERICAL ANAYSIS WITH ENGINEERING APPLICATION | 2+2+0 | 3 | 5 |
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Language of Instruction
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English
|
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Level of Course Unit
|
Bachelor's Degree
|
|
Department / Program
|
MECHANICAL ENGINEERING
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|
Type of Program
|
Formal Education
|
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Type of Course Unit
|
Compulsory
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Course Delivery Method
|
Face To Face
|
|
Objectives of the Course
|
This course aims to teach the fundamental numerical techniques and their applications for solving engineering problems.
|
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Course Content
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Solution of linear and nonlinear equations; linear algebraic systems; interpolation and curve fitting; numerical differentiation and integration; numerical solution of differential equations; optimization methods.
|
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Course Methods and Techniques
|
Face-to-face lectures, computer lab sessions (MATLAB/Python), homework assignments, and project work.
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|
Prerequisites and co-requisities
|
( MATH205 ) and ( MATH203 )
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Course Coordinator
|
None
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Name of Lecturers
|
Asist Prof.Dr. Farzin Mozafari farzin.mozafari@agu.edu.tr
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Assistants
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None
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Work Placement(s)
|
No
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Recommended or Required Reading
|
Resources
|
Numerical Methods for Engineers (Int'l Ed) Chapra, Steven and Canale, Raymond
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|
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Lecture notes include algorithm descriptions, MATLAB/Python example implementations, and homework solution sessions.
|
|
|
na
|
|
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na
|
|
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na
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Course Category
|
Mathematics and Basic Sciences
|
%0
|
|
|
Engineering
|
%0
|
|
|
Engineering Design
|
%100
|
|
|
Social Sciences
|
%0
|
|
|
Education
|
%0
|
|
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Science
|
%0
|
|
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Health
|
%0
|
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Field
|
%0
|
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Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"
Assessment Methods and Criteria
|
In-Term Studies
|
|
Quiz/Küçük Sınav
|
1
|
%
30
|
|
Ödev
|
1
|
%
20
|
|
Final examination
|
1
|
%
50
|
|
Total
|
3
|
%
100
|
ECTS Allocated Based on Student Workload
|
Activities
|
Total Work Load
|
|
Ev Ödevi
|
1
|
30
|
30
|
|
Proje
|
1
|
20
|
20
|
|
Kişisel Çalışma
|
1
|
45
|
45
|
|
Yüz Yüze Ders
|
14
|
3
|
42
|
|
Final Sınavı
|
1
|
18
|
18
|
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Total Work Load
| |
|
Number of ECTS Credits 5
155
|
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
| No | Learning Outcomes |
|
1
| LO1: Evaluate errors through analysis |
|
2
| LO2: Apply numerical methods to solve nonlinear equations |
|
3
| LO3: Construct curve fitting techniques |
|
4
| LO4: Utilize numerical integration and differentiation methods |
|
5
| LO5: Implement numerical techniques to solve linear and nonlinear systems of equations |
|
6
| LO6: Employ numerical methods to solve ordinary and partial differential equations |
Weekly Detailed Course Contents
| Week | Topics | Study Materials | Materials |
| 2 |
Roots of equations (bisection, Newton–Raphson).
|
NA
|
NA
|
| 4 |
Linear system solvers (Gaussian elimination, LU).
|
NA
|
NA
|
| 6 |
Interpolation and least squares fitting.
|
NA
|
NA
|
| 8 |
Numerical differentiation and integration.
|
NA
|
NA
|
| 10 |
ODE solvers (Euler, Runge–Kutta).
|
NA
|
NA
|
| 12 |
Optimization techniques.
|
NA
|
NA
|
| 13 |
MATLAB/Python lab implementations.
|
NA
|
NA
|
| 14 |
Project demonstrations and exam prep.
|
NA
|
NA
|
Contribution of Learning Outcomes to Programme Outcomes
Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant
https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=71386&lang=en