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FACULTY of ENGINEERING / DEPARTMENT of ELECTRICAL and ELECTRONICS ENGINEERING / (30%) English
Katalog Ana Sayfa
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EEE3007Numerical Analysis3+0+0ECTS:4
Year / SemesterFall Semester
Level of CourseFirst Cycle
Status Elective
DepartmentDEPARTMENT of ELECTRICAL and ELECTRONICS ENGINEERING
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face
Contact Hours14 weeks - 3 hours of lectures per week
LecturerDr. Öğr. Üyesi Mehmet ÖZTÜRK
Co-LecturerNone
Language of instruction
Professional practise ( internship ) None
 
The aim of the course:
Introduction of the Numerical Solutions and To construct a base for the other numerical lectures
 
Learning OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
LO - 1 : gain some knowledge about the numerical analysis1,5,11,131
LO - 2 : learn the application methods of the numerical solution to the Circuit Problems.1,5,11,131
LO - 3 : learn the application methods of the numerical solution to the Control Systems.1,5,11,131
LO - 4 : learn the application methods of the numerical solution to the analysis of The Harmonics.1,5,11,131
LO - 5 : learn the application methods of the numerical solution to the analysis of The Dynamic Systems1,5,11,131
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), LO : Learning Outcome

 
Contents of the Course
Chapt. -1: Introduction; Basic concepts and definitionsChapt. -2: Errors in Numerical Analysis Chapt. -3: MatrixesChapt. -4: Solutions of the Equations in One Variable and the Equation SystemsChapt. -5: Taylor Series and Finite DifferencesChapt. -6: İnterpolations, ExtrapolationsChapt. -7: Numerical DifferentiationChapt. -8: Numerical IntegrationChapt. -9: Numerical Solutions of the Differential EquationsChapt. -10: Least Square Method and Curve Fitting
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Introduction to the Numerical Analysis
 Week 2Matrices
 Week 3Numerical Solution of the Equatins and Systems of Equations
 Week 4Numerical Solution of the Equatins and Systems of Equations(Continue)
 Week 5Finite Diiferences
 Week 6Interpolation
 Week 7Interpolation(Continue)
 Week 8Numerical Differentiation
 Week 9Mid-term exam
 Week 10Numerical Integration
 Week 11Numerical Integration
 Week 12Curve Fitting
 Week 13Curve Fitting
 Week 14Numerical Methods For Ordinary Differential Equations
 Week 15Numerical Methods For partial Differential Equations
 Week 16End-of-term exam
 
Textbook / Material
1Akpınar, A.Sefa,Kürüm, Hasan,2005,Sayısal Çözümleme,Nobel Basımevi,Kitap,Yayın No:26
2Akpınar, A.Sefa,2008,Sayısal Çözümleme,KTÜ Mühendislik Fakültesi Fakülte Ders Notları Serisi No::2,Trabzon
 
Recommended Reading
1Chapra, Steven,Canale Raymond,1985,Numerical Methods For Engineers,McGrawHill,İSBN 0 07 010664-9
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 1,5 50
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 2 14 28
Arasınav için hazırlık 2 7 14
Arasınav 1.5 1 1.5
Dönem sonu sınavı için hazırlık 2 7 14
Dönem sonu sınavı 1.5 1 1.5
Diğer 1 2 7 14
Total work load115