Course Details

Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
1ECE656ELEKTRİK MAKİNALARI TASARIMII3+0+037,514.05.2025

 
Course Details
Language of Instruction English
Level of Course Unit Doctorate's Degree
Department / Program ELECTRICAL AND COMPUTER ENGINEERING
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course Describing the principles of electric machine designs and the fundamentals of magnetic design for electrical machines,

Interpreting of optimizing magnetic performance for various machine types

Examining structural stresses and thermal effects in machine components.

Evaluating the use of computational tools for simulating magnetic, structural, and thermal behaviors.

Describing the principles of electric machine designs and the fundamentals of magnetic design for electrical machines,

Interpreting of optimizing magnetic performance for various machine types

Examining structural stresses and thermal effects in machine components.

Evaluating the use of computational tools for simulating magnetic, structural, and thermal behaviors.

Describing the principles of electric machine designs and the fundamentals of magnetic design for electrical machines,

Interpreting of optimizing magnetic performance for various machine types

Examining structural stresses and thermal effects in machine components.

Evaluating the use of computational tools for simulating magnetic, structural, and thermal behaviors.
Course Content This course focuses on the principles of designing electrical machines with an emphasis on magnetic, structural, and thermal aspects. It covers the fundamentals of magnetic circuit design, structural integrity, and thermal management to achieve efficient and reliable machines. FEA software and optimization tools will be used to determine the best parameters of the machine. Practical applications include the design of transformers, generators, and motors, using theoretical insights and computational tools to meet industrial standards and sustainability goals
Course Methods and Techniques Face-to-face education, active learning, asynchronous course supplements, hands-on training, and project-based learning are all integrated into the teaching approach.
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers Asist Prof.Dr. Didem Tekgün https://avesis.agu.edu.tr/didem.tekgun didem.tekgun@agu.edu.tr
Assistants Research Assist. Hasan Can Karatepe hasancan.karatepe@agu.edu.tr
Work Placement(s) No

Recommended or Required Reading
Resources
Course Notes CANVAS
Documents CANVAS
Assignments CANVAS
Exams CANVAS

Course Category
Mathematics and Basic Sciences %100
Engineering %100
Engineering Design %100
Social Sciences %0
Education %0
Science %70
Health %0
Field %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
In-Term Studies Quantity Percentage
Yarıyıl İçi Çalışmalarının Başarı Notunun Katkısı 1 % 20
Proje/Çizim 3 % 60
Sunum/Seminer 3 % 20
Total
7
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Yazılı Sınav 1 3 3
Grup Projesi 3 8 24
Teknik Gezi 1 3 3
Yüz Yüze Ders 14 14 196
Asenkron Ders 3 1 3
Total Work Load   Number of ECTS Credits 7,5 229

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Understand the principles of magnetic design about their applications in electrical machines.
2 Design machines with optimized magnetic performance, mechanical strength, and thermal efficiency.
3 Use advanced simulation tools for validating and optimizing designs.
4 Compose a comprehensive machine design project incorporating magnetic, structural, and thermal aspects.

 
Weekly Detailed Course Contents
Veri yok

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11
All 4 5 3 4 4 3 4 2 3 3 4
C1 5 4 2 4 4 2 3 1 2 2 4
C2 4 5 3 4 5 4 3 1 2 4 4
C3 4 5 4 3 5 3 4 2 2 5 4
C4 5 5 4 3 4 4 5 4 5 5 5

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

  
  https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=77620&lang=en