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GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of ELECTRICAL and ELECTRONICS ENGINEERING
Master of Science in Engineering (With Thesis)
Course Catalog
http://eee.ktu.edu.tr/eng/default_eng.aspx
Phone: +90 0462 3253154 , 3772906
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GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of ELECTRICAL and ELECTRONICS ENGINEERING / Master of Science in Engineering (With Thesis)
Katalog Ana Sayfa
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ELKL5925Engineering Optimization3+0+0ECTS:7.5
Year / SemesterFall Semester
Level of CourseSecond Cycle
Status Elective
DepartmentDEPARTMENT of ELECTRICAL and ELECTRONICS ENGINEERING
Prerequisites and co-requisitesNone
Mode of Delivery
Contact Hours14 weeks - 3 hours of lectures per week
LecturerDr. Öğr. Üyesi Yahya DANAYİYEN
Co-Lecturer
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
To provide better solution of problems in application for engineers
 
Programme OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
PO - 1 : Learn basic terms in optimization6,7,81,6
PO - 2 : Learn some optimization problems1,2,31,6
PO - 3 : Learn cost function to solve optimization problem3,6,71,6
PO - 4 : Learn optimization under the condition of constraints4,5,61,6
PO - 5 : Learn linear programming1,4,6,71,6
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome

 
Contents of the Course
Basic terms, determining optimizaiton problem, cost function, condition of contraints, linear programming, example of linear programming, examples in engineering area
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Basic terms
 Week 2Basic terms
 Week 3Determining optimization problem
 Week 4Determining optimization problem
 Week 5cost function
 Week 6cost function
 Week 7condition of constraints
 Week 8Condition of constraints
 Week 9Mid-term exam
 Week 10Linear programming
 Week 11Linear programming
 Week 12examples of Linear programming
 Week 13examples of Linear programming
 Week 14examples in engineering area
 Week 15examples in engineering area
 Week 16End-of term exam
 
Textbook / Material
 
Recommended Reading
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 1,5 30
Homework/Assignment/Term-paper 14 20 20
End-of-term exam 16 1,5 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 3 14 42
Sınıf dışı çalışma 5 14 70
Arasınav için hazırlık 5 7 35
Arasınav 2 1 2
Dönem sonu sınavı için hazırlık 7 8 56
Dönem sonu sınavı 2 1 2
Total work load207