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FACULTY OF FORESTRY / DEPARTMENT of FOREST INDUSTRY ENGINEERING

Course Catalog
https://www.ktu.edu.tr/oem
Phone: +90 0462 +90 (462) 3773248
ORF
FACULTY OF FORESTRY / DEPARTMENT of FOREST INDUSTRY ENGINEERING /
Katalog Ana Sayfa
  Katalog Ana Sayfa  KTÜ Ana Sayfa   Katalog Ana Sayfa
 
 

OREN2016Numerical Analysis3+1+0ECTS:5
Year / SemesterSpring Semester
Level of CourseFirst Cycle
Status Compulsory
DepartmentDEPARTMENT of FOREST INDUSTRY ENGINEERING
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face
Contact Hours14 weeks - 3 hours of lectures and 1 hour of practicals per week
LecturerProf. Dr. Salim KAHVECİ
Co-LecturerNone
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
To construct a base for the other numerical
 
Learning OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
LO - 1 : solve Mathematical problems in the Engineering of Forest İndustriy by PC or MATLAB1,21
LO - 2 : gain skill in the applications of Mathematic in the Engineering of Forest İndustriy1,21
LO - 3 : gain skill making plan in the Engineering of Forest İndustriy1,21
LO - 4 : gain skill in the modern computation techniques for the applicatons of this Engineering1,21
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
The differences between analytical and numerical solutions, Errors. Matrixes, Solution of equations, Finite differencesInterpolationNumerical DifferentiationNumerical IntegralSolutions of the differentiation equationsCurve fitting
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1İntroduction 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
 Week 5Finite Diiferences
 Week 6İnterpolation
 Week 7İnterpolation
 Week 8Mid-term exam
 Week 9Numerical Differentiation
 Week 10Numerical İntegration
 Week 11Examination
 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,2008,Sayısal Çözümleme,KTÜ Mühendislik Fakültesi Fakülte Ders Notları Serisi No::2,Trabzon
2Akpınar, A.Sefa,Kürüm, Hasan,2005,Sayısal Çözümleme,Nobel Basımevi,Kitap,Yayın No:26
3Chapra, Steven,Canale Raymond,1985,Numerical Methods For Engineers,McGrawHill,İSBN 0 07 010664-9
 
Recommended Reading
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 8 07/11/2019 1,5 30
In-term studies (second mid-term exam) 10 09/12/2019 1,5 20
End-of-term exam 16 07/01/2020 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 2 14 28
Sınıf dışı çalışma 4 10 40
Laboratuar çalışması 0 0 0
Arasınav için hazırlık 4 8 32
Arasınav 2 1 2
Uygulama 1 14 14
Klinik Uygulama 0 0 0
Ödev 1 14 14
Proje 0 0 0
Kısa sınav 0 0 0
Dönem sonu sınavı için hazırlık 4 14 56
Dönem sonu sınavı 2 1 2
Diğer 1 0 0 0
Diğer 2 0 0 0
Total work load188