GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
SPECIAL ELECTRICAL MACHINES AND DRIVES/5131330
Course Title: SPECIAL ELECTRICAL MACHINES AND DRIVES
Credits 3 ECTS 7.5
Course Semester 1 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Recognises principles of electromechanical energy conversion
Recognises fundamentals of brushless DC machines
Evaluates dynamic behaviour of brushless DC machines
Recognises and applies driving techniques of brushless DC machines
Recognises fundamentals of Permanent magnet synchronous machines
Recognises and applies driving of Permanent magnet synchronous machines
Recognises fundamentals of switched reluctance machines
Recognises and applies driving techniques of switched reluctance machines
Recognises operation principles and driving techniques of ultrasonic machines
Analyses behavior of these machines

 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Principles of electromechanical energy conversion
2. Week  Fundamentals of brushless DC machines
3. Week  Dynamic behaviour of brushless DC machines
4. Week  Driving techniques of brushless DC machines
5. Week  Fundamentals of Permanent magnet synchronous machines
6. Week  Driving techniques of Permanent magnet synchronous machines
7. Week  Fundamentals of switched reluctance machines
8. Week  Midterm exam. Dynamic equations of switched reluctance machines
9. Week  Driving techniques of switched reluctance machines
10. Week  Operation principles of ultrasonic machines
11. Week  Driving techniques of ultrasonic machines
12. Week  Comparison of these machines mentioned above
13. Week  Presentation of home works on special electric machines
14. Week  Evaluations of home works on special electric machines
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
40
 Assignment
1
20
 Application
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
60
 Percentage of Final Exam to Total Score  
40
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
 Reading Tasks
14
2
28
 Searching in Internet and Library
14
2
28
 Material Design and Implementation
0
 Report Preparing
0
 Preparing a Presentation
5
3
15
 Presentation
1
1
1
 Midterm Exam and Preperation for Midterm Exam
14
2
28
 Final Exam and Preperation for Final Exam
14
2
28
 Other (should be emphasized)
10
3
30
 TOTAL WORKLOAD: 
200
 TOTAL WORKLOAD / 25: 
8
 Course Credit (ECTS): 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1To access to wide and deep information with scientific researches in the field of Engineering, evaluate, interpret knowledge and implement.X
2To complete and implement limited or incomplete data by using the scientific methods. To stick knowledge of different disciplinarians togetherX
3To consolidate engineering problems, develop proper method to solve and apply innovative solutions.X
4To develop new and original ideas and methods, To develop new innovative solutions at design of system, component or processX
5To have comprehensive information on modern techniques, methods and their borders which are being applied to engineeringX
6To design and apply analytical, modeling and experimental based research, analyze and interpret the faced complex issues during the design and apply process.X
7High level ability to define the required information, data and reach, assess.X
8To lead multi-disciplinary teams to take responsibility to define approaches for complex situations.X
9Systematic and clear verbal or written transfer of the process and results of studies at national and international environmentsX
10Social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, announcement.X
11Awareness at new and developing application of profession and ability to analyze and study on those applications.X
12To interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment.X
13Ability for effective oral and official communication skills in Turkish Language.X
 -- NAME OF LECTURER(S)
   (Prof. Dr. Güngör BAL)
 -- WEB SITE(S) OF LECTURER(S)
   (http://websitem.gazi.edu.tr/site/gunbal)
 -- EMAIL(S) OF LECTURER(S)
   (gunbal@gazi.edu.tr)