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TR

NUMERICAL METHODS IN ELECTROMAGNETICS

Course
EELE534 - NUMERICAL METHODS IN ELECTROMAGNETICS
Department
Electrical - Electronic Engineering - English - Master
Course Type
Course
Status
Required
Language
English
Credit
3
ECTS
0
T+P+L
3 + 0 + 0
Course Coordinator(s)
-
Prerequisite
-
Keywords
-

Course Description

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NUMERICAL METHODS IN ELECTROMAGNETICS

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

  1. 01 1. To be able to learn the maxwell equations and the basics of antennas.
  2. 02 2. Learning the numerical solution of matrix equations and matrix eigen-value problems.
  3. 03 3. To be able to learn the method of moment (MoM).
  4. 04 4. Learning the method of finite difference time domain (FDTD).
  5. 05 5. To be able to learn the method of finite elements (FEM).
  6. 06 6. Learning the variational methods.

Course Syllabus

Week Topic
Week 1 Electromagnetic fields, waves and summarization of Maxwell equations
Week 2 Antennas and summarization of the fundamental formulations
Week 3 Numerical solution of matrix equations and matrix eigen-value problems
Week 4 Finite Difference Time Domain Method (FDTD): Yee’s Finite Difference Algorithm.
Week 5 Finite Difference Time Domain Method (FDTD): Yee’s Finite Difference Accuracy and Stability.
Week 6 Finite Difference Time Domain Method (FDTD): Lattice Truncation Conditions, Initial Fields, Programming Aspects,
Week 7 Finite Difference Time Domain Method (FDTD): Absorbing Boundary Conditions (ABC) for FDTD, Applications.
Week 8 Midterm Exam
Week 9 Method of Moments (MoM): Introduction, Integral Equations.
Week 10 Method of Moments (MoM): Green’s Functions, Applications.
Week 11 Method of Moments (MoM): Quasi Static Problems, Scattering Problems.
Week 12 Finite Element Method : Introduction.
Week 13 Finite Element Method : Solution of Laplace’s Equation.
Week 14 Finite Element Method : Solution of Wave Equation.
Week 15 Final Exam

Reference Books & Course Materials

  1. 01 1. Matthew N.O. Sadiku, Numerical Techniques in Electromagnetics, CRC Press, USA, 2008.
  2. 02 2. Allen Taflove , Susan C. Hagness, Computational Electrodynamics: The Finite-Difference Time-Domain Method, Artech House Publishers, 2005
  3. 03 3. Andrew F. Peterson, Scott L. Ray, Raj Mittra, Computational methods for electromagnetics, IEEE Antennas and Propagation Society, 1998.

Learning Outcomes

  1. L01 1. To be able to learn the maxwell equations and the basics of antennas.
  2. L02 2. Learning the numerical solution of matrix equations and matrix eigen-value problems.
  3. L03 3. To be able to learn the method of moment (MoM).
  4. L04 4. Learning the method of finite difference time domain (FDTD).
  5. L05 5. To be able to learn the method of finite elements (FEM).
  6. L06 6. Learning the variational methods.

Program Outcomes

  1. Based on bachelor's-level qualifications, be able to develop and deepen knowledge at the level of specialization in the same or a different field.
  2. Should be able to understand and appreciate the interdisciplinary interactions related to their field.
  3. Should be able to apply expert-level theoretical and practical knowledge acquired in their field.
  4. Should be able to integrate knowledge from their field with knowledge from other disciplines, interpret it, and generate new knowledge.
  5. Should be able to resolve problems encountered in their field through the application of appropriate research methods.
  6. Should be able to independently carry out research or professional work that requires expertise in their field.
  7. Should be able to develop innovative strategic approaches for resolving complex and unpredictable problems encountered in their field of practice and take responsibility for producing effective solutions.
  8. Should be able to demonstrate leadership in environments where solving problems related to their field is required.
  9. Should be able to critically assess the advanced knowledge and skills acquired in their field and manage their own learning processes.
  10. Should be able to systematically present current developments in their field and their own studies, supported by quantitative and qualitative data, to both disciplinary and non-disciplinary audiences through written, oral, and visual communication.
  11. Should be able to critically analyze and enhance social relationships and the norms that shape these relationships, and initiate actions aimed at their transformation when necessary.
  12. Should be able to communicate effectively through oral and written communication in at least one foreign language at the B2 level of the Common European Framework of Reference for Languages (CEFR).
  13. Should be able to utilize information and communication technologies and relevant computer software at an advanced level appropriate to the requirements of their field.
  14. Should be able to manage and evaluate the processes of collecting, interpreting, applying, and communicating data related to their field in accordance with social, scientific, cultural, and ethical values, and promote the understanding of these values.
  15. Should be able to develop strategies, policies, and action plans in areas related to their field and assess the results obtained in accordance with quality assurance processes.
  16. Should be able to apply the advanced knowledge acquired in their field, along with problem-solving and application skills, in interdisciplinary studies.

Po-Lo Matrix

LO Average
L01 - - - - - - - - - - - - - - - - -
L02 - - - - - - - - - - - - - - - - -
L03 - - - - - - - - - - - - - - - - -
L04 - - - - - - - - - - - - - - - - -
L05 - - - - - - - - - - - - - - - - -
L06 - - - - - - - - - - - - - - - - -