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FACULTY of ENGINEERING / DEPARTMENT of GEOMATICS ENGINEERING

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FACULTY of ENGINEERING / DEPARTMENT of GEOMATICS ENGINEERING /
Katalog Ana Sayfa
  Katalog Ana Sayfa  KTÜ Ana Sayfa   Katalog Ana Sayfa
 
 

HRT2047Numerical Analysis3+0+0ECTS:4
Year / SemesterFall Semester
Level of CourseFirst Cycle
Status Compulsory
DepartmentDEPARTMENT of GEOMATICS ENGINEERING
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face
Contact Hours14 weeks - 3 hours of lectures per week
LecturerArş. Gör. Fatih TERZİ
Co-LecturerNone
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
To give an introduction to numerical calculating processes and numerical solution of a lot of geodetic problems.
 
Learning OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
LO - 1 : understand number systems and type of errors.11
LO - 2 : know type of enterpolation.51
LO - 3 : make matrix operations.11
LO - 4 : fit curve by LSQ Method.151
LO - 5 : apply numerical differentiation and numerical integration to geodetic problems1,151
LO - 6 : solve equation systems11
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
Number systems and errors: The representation of numbers, The number systems, Type of errors in numerical computation and error analysis, Examples. Taylor's series, Binom's series, Examples. The finite difference calculus: Forward and backward differences, Central differences, Examples. Interpolation: Linear interpolation, Non-linear interpolation; Generations of difference table, Lagrange polynomial interpolation, Gregory-Newton interpolation, Central-difference interpolation, Inverse interpolation, Examples. Matrices: The properties of matrices, matrix inversion and the evaluation of determination, Matrix inversion and evaluation of determination by both Gauss-Jordan and Cholesky elimination methods, Examples. Real zeros of function: Finding real zeros of both a linear and non-linear function, real zeros of simultaneous equations: Finding real zeros of both linear and non-linear simultaneous equations. Examples. Curve fitting and functional approximation; Curve fitting by least squares method. Examples. Numerical Differentiation. Numerical Integration, Examples.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Numbers, Number Types and Number Systems, Different Applications.
 Week 2Error and Error Criteria at Numerical Analysis, Error Propogation.
 Week 3Matrix, Inverse of Square Matrix, Triangular Matrix According to Gauss and Cholesky Method.
 Week 4Matrix, Inverse of Square Matrix, Triangular Matrix According to Gauss and Cholesky Method.
 Week 5Find roots which makes zero of single-variable function.
 Week 6Linear Equation Systems, Find roots which makes zero of equation system.
 Week 7Linear Equation Systems, Find roots which makes zero of equation system.
 Week 8Mid-term exam
 Week 9Non-linear Equation Systems and their numerical solutins.
 Week 10Enterpolation Methods, Lagrange Enterpolation.
 Week 11Formula of Gregory-Newton Enterpolation and Applications.
 Week 12Curve Fitting and Sample applications.
 Week 13Curve Fitting and Sample applications.
 Week 14 Numerical derivative and Sample Solutions.
 Week 15Numerical integral and Sample Solutions.
 Week 16End-of-term exam
 
Textbook / Material
1Dilaver, A. 2007; Müdendislikte Sayısal Çözümleme Algoritmaları (Nümerik Analiz). Ders Notu, Trabzon. (Yayımlanmadı)
 
Recommended Reading
1Karagöz, İ. 2008; Sayısal Analiz ve Mühendislik Uygulamaları, 2. Baskı, Nobel Yayın Dağıtım.
2Sönmez, M. 2008; Sayısal Analiz Ders Notları, Aksaray Üniversitesi, İnşaat Mühendisliği Bölümü.
3Dikmen, Ü. 2008;Sayısal Analiz ve Programlama III, Ders Notları,
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 8 10112010 2 30
Quiz 13 06122010 2 20
End-of-term exam 16 10012011 2 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 3 14 42
Arasınav için hazırlık 25 1 25
Arasınav 2 1 2
Kısa sınav 2 1 2
Dönem sonu sınavı için hazırlık 25 1 25
Dönem sonu sınavı 2 1 2
Diğer 1 30 1 30
Total work load170