EE 304 Electromagnetic FieldsMEF UniversityDegree Programs Computer EngineeringGeneral Information For StudentsDiploma SupplementErasmus Policy Statement
Computer Engineering
Bachelor Length of the Programme: 4 Number of Credits: 240 TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF: Level 6

Ders Genel Tanıtım Bilgileri

School/Faculty/Institute Faculty of Engineering
Course Code EE 304
Course Title in English Electromagnetic Fields
Course Title in Turkish Elektromanyetik Alanlar
Language of Instruction EN
Type of Course Flipped Classroom
Level of Course Introductory
Semester Spring
Contact Hours per Week
Lecture: 3 Recitation: None Lab: None Other: None
Estimated Student Workload 150 hours per semester
Number of Credits 6 ECTS
Grading Mode Standard Letter Grade
Pre-requisites MATH 213 - Differential Equations
Expected Prior Knowledge Prior knowledge in differential equations
Co-requisites None
Registration Restrictions Only Undergraduate Students
Overall Educational Objective To learn the principles of electromagnetic fields.
Course Description This course provides a a comprehensive understanding of electromagnetic fields. The following topics are covered: the electromagnetic model, vector analysis, differential operators, divergence and Stokes theorem, static electric fields, Coulomb’s law, Gauss’ law, Electrostatics field lines, electric potential and work, capacitance and capacitors, Poisson’s and Laplace’s equations, steady electric currents, resistance calculations, static magnetic fields, Lorentz’s force, Biot-Savart Law and Applications, Ampere’s Law and applications, forces on current carrying conductors, magnetic materials and permeability, magnetic circuits, inductances and inductors, time-varying fields and Maxwell’s equations, wave equations, the electromagnetic spectrum and real life applications.
Course Description in Turkish Bu derste elektromanyetik alanların temel kavramları şu konu başlıkları altında kapsamlı bir şekilde incelenmektedir: elektromanyetik model, vektör analizi, diferansiyel operatörler, diverjans ve Stokes teoremi, statik elektrik alanlar, Coulomb yasası, Gauss yasası, Elektrostatik alan hatları, elektrik potansiyeli ve çalışmaları, kapasitans ve kapasitörler, Poisson ve Laplace denklemleri, kararlı elektrik akımları, direnç hesaplamaları, statik manyetik alanlar, Lorentz kuvveti, Biot-Savart yasası ve uygulamaları, Ampere yasası ve uygulamaları, akım taşıyan iletkenlerde kuvvetler, manyetik malzemeler ve geçirgenlik, manyetik devreler, endüktans ve indüktörler, zamanla değişen alanlar ve Maxwell denklemleri, dalga denklemleri, elektromanyetik spektrum ve gerçek hayat uygulamaları.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) apply vector calculus to the electromagnetic problems;
2) describe and analyze electrostatics;
3) describe magnetic fields and analyze magnetostatic problems;
4) interpret time-varying fields and Maxwell’s equations.
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4
1) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
3) An ability to communicate effectively with a range of audiences
4) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
5) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
6) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
7) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics H Exam,HW
2) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors N
3) An ability to communicate effectively with a range of audiences N
4) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts N
5) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives N
6) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions N
7) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies. N
Prepared by and Date CAGATAY ULUISIK , April 2018
Course Coordinator EGEMEN BİLGİN
Semester Spring
Name of Instructor Asst. Prof. Dr. EGEMEN BİLGİN

Course Contents

Week Subject
1) The Electromagnetic Model, Vector Analysis and Orthogonal Coordinate Systems
2) Differential Operators, Divergence and Stokes Theorems, Two Null Identities
3) Static Electric Fields, Fundamental Postulates of Electrostatics, Coulomb’s Law, Gauss’ Law and Applications
4) Electrostatics Field Lines, Electric Potential and Work, Conductors and Dielectrics in Static Electric Field
5) Boundary Conditions for Electrostatic Fields, Capacitance and Capacitors
6) Solution of Electrostatic Problems, Poisson’s and Laplace’s Equations, Method of Images
7) Steady Electric Currents, Current Density, Kirchhoff’s Voltage and Current Laws, Resistance Calculations
8) Static Magnetic Fields, Lorentz’s Force, Fundamental Postulates of Magnetostatics, Biot-Savart Law and Applications
9) Ampere’s Law and Applications, Vector Magnetic Potential, Forces on Current Carrying Conductors
10) Magnetic Materials and Permeability, Boundary Conditions for Magnetostatic Fields
11) Magnetic Circuits, Inductances and Inductors
12) Time-varying fields and Maxwell’s equations
13) Electromagnetic Boundary Conditions, Wave Equations
14) The Electromagnetic Spectrum and Real Life Applications
15) Final Exam/Project/Presentation Period
16) Final Exam/Project/Presentation Period
Required/Recommended Readings1. D. K. Cheng, Field Wave Electromagnetics, 2nd Edition, Addison Wesley. 2. W.H. Hayt and J. A. Buck, Engineering Electromagnetics, 8th edition, McGraw-Hill. 3. D. J. Griffiths, Introduction to Electrodynamics, 4th Edition, Pearson.
Teaching MethodsContact hours using “Flipped Classroom” as an active learning technique
Homework and Projects1 Homeworks
Laboratory WorkNone
Computer UseNone
Other ActivitiesNone
Assessment Methods
Assessment Tools Count Weight
Homework Assignments 5 % 25
Project 1 % 15
Midterm(s) 2 % 60
TOTAL % 100
Course Administration

Instructor’s office: TBD office hours: TBD email address: culuisik@dogus.edu.tr Rules for attendance: : - Missing a midterm: Provided that proper documents of excuse are presented, a make-up exam will be given for each missed midterm. Missing a final: Faculty regulations. A reminder of proper classroom behavior, code of student conduct: YÖK Regulations Statement on plagiarism: YÖK Regulations http://3fcampus.mef.edu.tr/uploads/cms/webadmin.mef.edu.tr/4833_2.pdf

ECTS Student Workload Estimation

Activity No/Weeks Hours Calculation
No/Weeks per Semester Preparing for the Activity Spent in the Activity Itself Completing the Activity Requirements
Course Hours 14 3 3 84
Project 1 0 10 1 11
Homework Assignments 5 3 4 35
Midterm(s) 2 8 2 20
Total Workload 150
Total Workload/25 6.0
ECTS 6