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Language of Instruction
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English
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Level of Course Unit
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Doctorate's Degree
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Department / Program
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ELECTRICAL AND COMPUTER ENGINEERING
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Type of Program
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Formal Education
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Type of Course Unit
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Elective
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Course Delivery Method
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Face To Face
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Objectives of the Course
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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.
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Course Content
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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
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Course Methods and Techniques
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Face-to-face education, active learning, asynchronous course supplements, hands-on training, and project-based learning are all integrated into the teaching approach.
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Prerequisites and co-requisities
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None
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Course Coordinator
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None
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Name of Lecturers
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Asist Prof.Dr. Didem Tekgün https://avesis.agu.edu.tr/didem.tekgun didem.tekgun@agu.edu.tr
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Assistants
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Research Assist. Hasan Can Karatepe hasancan.karatepe@agu.edu.tr
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Work Placement(s)
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No
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Recommended or Required Reading
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Resources
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Course Notes
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CANVAS
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Documents
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CANVAS
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Assignments
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CANVAS
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Exams
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CANVAS
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Course Category
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Mathematics and Basic Sciences
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%100
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Engineering
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%100
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Engineering Design
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%100
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Social Sciences
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%0
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Education
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%0
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Science
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%70
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Health
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%0
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Field
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%100
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