|
Language of Instruction
|
English
|
|
Level of Course Unit
|
Bachelor's Degree
|
|
Department / Program
|
ELECTRICAL-ELECTRONICS ENGINEERING
|
|
Type of Program
|
Formal Education
|
|
Type of Course Unit
|
Compulsory
|
|
Course Delivery Method
|
Face To Face
|
|
Objectives of the Course
|
The aim of this course is to introduce the fundamental numerical methods used for solving mathematical problems that are difficult or impossible to solve analytically. The course covers error analysis, solutions of linear and nonlinear systems, interpolation, numerical differentiation and integration methods, and numerical solutions of ordinary differential equations. Additionally, the course aims to improve students’ abilities in algorithm development, evaluation of computational accuracy, and application of numerical methods to engineering problems.
|
|
Course Content
|
This course covers error analysis and accuracy concepts in numerical computation, methods for solving linear and nonlinear systems of equations, interpolation and approximation techniques, numerical differentiation and integration methods, and numerical solution techniques for ordinary differential equations. In addition, the efficiency, stability, and engineering applications of numerical algorithms are discussed.
|
|
Course Methods and Techniques
|
Theoretical lecturing
Board and presentation-supported teaching
Numerical problem-solving practices
Computer-aided algorithm development studies
Case studies and engineering applications
Homework and practical assignments
|
|
Prerequisites and co-requisities
|
None
|
|
Course Coordinator
|
Asist Prof.Dr. Mehmet Bozdal
|
|
Name of Lecturers
|
Asist Prof.Dr. MEHMET BOZDAL
|
|
Assistants
|
None
|
|
Work Placement(s)
|
No
|
Recommended or Required Reading
|
Resources
|
Numerical Analysis for Engineers: Methods and Applications, Second Edition (Textbooks in Mathematics) 2nd Edition by Bilal M. Ayyub, Richard H. McCuen
|
|
Course Notes
|
Lecture notes prepared by the instructor
Fundamental textbooks on numerical analysis and scientific computing
MATLAB/Python-based application examples
Weekly problem-solving and practice documents
|
Course Category
|
Mathematics and Basic Sciences
|
%100
|
|
|