Course Details

Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
4AMN558ADVANCED ENGINEERING MATHEMATICS3+0+037,514.05.2025

 
Course Details
Language of Instruction English
Level of Course Unit Master's Degree
Department / Program ADVANCED MATERIALS AND NANOTECHNOLOGY
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course The course aims to provide the basic concepts and properties of mathematical modeling, differential equations, and partial differential equations. It will cover defining separable ODEs, exact ODEs, integrating factors, Bernoulli equation, power series method, Frobenius method, Legendre and Bessel equations, Laplace Transform of derivatives and integrals, convolution, and integral equations. Additionally, the course will focus on defining linear systems, Gauss elimination, eigenvalues and eigenvectors, orthogonal matrices, and solving linear systems. The course will also include solution methods using separation of variables, Fourier series, and solving wave, heat, and Laplace equations in polar, cylindrical, and spherical coordinates.
Course Content This course provides fundamental knowledge and skills for advanced engineering mathematics; including mathematical model, differential equations, existence and uniqueness of solutions for IVPs, power series method, Frobenius method, Laplace transform method, matrices, vectors, determinants, linear systems, partial differential equations. Fourier series.
wave, heat, Laplace equations, Dirichlet problems, Polar, cylindrical and spherical coordinates.
Course Methods and Techniques
Prerequisites and co-requisities None
Course Coordinator Associate Prof. Abdülkadir Doğan
Name of Lecturers Associate Prof.Dr. ABDÜLKADİR DOĞAN
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources
Course Notes The course notes will be shared.

Course Category
Mathematics and Basic Sciences %100

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
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ECTS Allocated Based on Student Workload
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Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Define Mathematical model, Differential equation, separable and exact ODEs, integrating factors, the existence and uniqueness of solutions for IVPs
2 Use series solutions of ODEs, power series method, Frobenius method Legendre’s equation, Bessel equation, Laplace transform
3 Define matrices, vectors, determinants linear systems
4 Use Gauss elimination. Define linear independence, the rank of a matrix and vector space and inverse of a matrix
5 Determine eigenvalues and eigenvectors. Define symmetric, skew-symmetric, and orthogonal matrices, eigenbases, diagonalization, quadratic forms
6 Define partial differential equations (PDEs). Use solution by separating variables, Fourier series. Find a solution of PDEs by Laplace transforms

 
Weekly Detailed Course Contents
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Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10
C1 5 5 3 2 1 3 1 4 1
C2 5 3 3 2 1 3 1 5 1
C3 5 3 3 2 1 3 1 5 1
C4 5 3 3 2 1 3 1 5 1
C5 5 3 3 2 1 3 1 5 1
C6 5 3 3 2 1 3 1 5 1

  Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant

  
  https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=77247&lang=en