COURSE UNIT TITLE

: MODERN ENGINEERING MATHEMATICS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
EED 4007 MODERN ENGINEERING MATHEMATICS ELECTIVE 4 0 0 6

Offered By

Electrical and Electronics Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

Offered to

Electrical and Electronics Engineering

Course Objective

To teach the fundamentals and main methods of mathematical modeling real phenomena and processes.

Learning Outcomes of the Course Unit

1   To be able to use and express the fundamental concepts ofmathematical modeling.
2   To be able to analyze and use mathematical models for acoustic, electromagnetic, elastic waves in different media and materials.
3   To be able to state initial value and initial boundary value problems for the wave, acoustic, and Maxwell s equations.
4   To be able to apply different methods for solving initial value and initial boundary value problems for the partial differential equations and Maxwell s system.
5   To be able to simulate acoustic, elastic and electromagnetic waves in different materials.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Mathematical models of acoustic, elastic, electromagnetic wave phenomenon in materials and media: Electromagnetic waves in anisotropic crystals and dielectrics, geological media, biological tissues.
2 Maxwell's equations in magnetoelectric bi-anisotropic, magnetoelectroelastic and piezoelectric materials. Maxwell's equation in composite anisotropic materials, boundary conditions, matching conditions.
3 Statements of problems: Initial value and initial boundary value problems for wave and Maxwell's equations
4 The method of characteristics for the initial value problem of the Maxwell's equations.
5 Midterm 1
6 The reduction of the initial value problem of the Maxwell's equations to several initial value problems for the scalar partial differential equations; solving initial value problem for Maxwell's equations.
7 The Fourier transform and the Fourier series methods for solving the initial value and initial boundary value problems of wave equation.
8 The Fourier series methods for solving the initial boundary value problems for Maxwell's equations with perfect conductor conditions. Fourier transform method for solving the initial value problem of Maxwell's equations .
9 The Green's functions method for the ordinary differential equations
10 The Green's functions for wave equations.The solution of the initial value problem by the Green's function method.
11 Midterm 2
12 The Green's functions for the Maxwell's equations.
13 The finite element and finite difference methods for partial differential equations.
14 The boundary element method for the partial differential equation problems.

Recomended or Required Reading

Erwin Kreyszig, Advanced Engineering Mathematics, 8th Ed., John Wiley & Sons Inc., 2001

Eom H.J., Electromagnetic Wave Theory for Boundary-Value Problems, Springer, Berlin, 2004

Yee K.S., Numerical solution of initial boundary value problems involving Maxwell's equations in isotropic media, IEEE Transactions on Antennas and Propagation, AP-14, vol.3, 302-307, 1966.

Yakhno V.G., Deriving the Time-Dependent Dyadic Green s Functions in Conductive Anisotropic Media, International Journal of Engineering Science, vol. 48, 332-342, 2010.

Referanslar:
lecture notes of Prof. Dr. Valery Yakhno

Planned Learning Activities and Teaching Methods

Lectures
Homeworks
Examinations

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE1 MIDTERM EXAM 1
2 MTE2 MIDTERM EXAM 2
3 PRJ PROJECT
4 FIN FINAL EXAM
5 FCG FINAL COURSE GRADE MTE1 * 0.125 + MTE2 * 0.125 + PRJ * 0.25 + FIN * 0.50
6 RST RESIT
7 FCGR FINAL COURSE GRADE (RESIT) MTE1 * 0.125 + MTE2 * 0.125 + PRJ * 0.25 + RST * 0.50


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Projects
Examinations

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

valery.yakhno@deu.edu.tr

Office Hours

Will be determined in the beginning of the term

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 4 56
Preparation for midterm exam 2 2 4
Preparation for final exam 1 2 2
Preparing assignments 4 4 16
Design Project 4 3 12
Preparations before/after weekly lectures 14 4 56
Midterm 2 2 4
Projects 4 1 4
Final 1 2 2
TOTAL WORKLOAD (hours) 156

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.15534
LO.25534
LO.35534
LO.45534
LO.55534

CONTACT INFORMATION
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Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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