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FACULTY of ENGINEERING / DEPARTMENT of CIVIL ENGINEERING /
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INS2039INS2021 Numerical Analysis2+1+0ECTS:3
Year / SemesterFall Semester
Level of CourseFirst Cycle
Status Compulsory
DepartmentDEPARTMENT of CIVIL ENGINEERING
Prerequisites and co-requisitesNone
Mode of Delivery
Contact Hours14 weeks - 2 hours of lectures and 1 hour of practicals per week
LecturerDoç. Dr. Barbaros ATMACA
Co-LecturerDOCTOR LECTURER Barbaros ATMACA,ASSOC. PROF. DR. Temel TÜRKER,
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
The course aims to teach the numerical solution techniques, and to provide a background to solve engineering problems.
 
Learning OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
LO - 1 : solve the equation using the numerical analysis method.1,21
LO - 2 : learn the rules of numerical differentiation and numerical integration1,21
LO - 3 : learn the algorithm for programming1,21
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
Basic Principles and Error Analysis, Roots of Equations, Solution of Algebraic Equation Systems, Numerical Integration and Differentiation
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Basic Principles and Error Analysis, Roots of Equations
 Week 2Roots of Equations: Fixed-point iteration, Newton-Raphson Method
 Week 3Roots of Equations: Regula-Falsi Method
 Week 4Solution of Linear Equation Systems: Gauss Elimination Method
 Week 5Solution of Linear Equation Systems: Gauss-Seidel Method
 Week 6Solution of Non-Linear Equation Systems: Newton-Raphson Method
 Week 7Curve Fitting: Least Squares Method
 Week 8Curve Fitting: Least Squares Method
 Week 9Mid-term exam
 Week 10Curve Fitting: Interpolation
 Week 11Curve Fitting: Interpolation
 Week 12Numerical Integration
 Week 13Numerical Integration
 Week 14Numerical Differentiation
 Week 15Numerical Differentiation
 Week 16End-of-term exam
 
Textbook / Material
1Bakioğlu, Mehmet, Sayısal Analiz, Birsen Yayınevi, 2011.
2Bakioğlu Mehmet; Kadıoğlu Fethi; Barlas, Barış; Yanık, Arcan, Sayısal Analiz Problemleri, Birsen Yayınevi, 2011.
 
Recommended Reading
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 28.11.2020 2 50
End-of-term exam 16 03.02.2021 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 7 14 98
Laboratuar çalışması 0 0 0
Arasınav için hazırlık 7 1 7
Arasınav 2 1 2
Klinik Uygulama 0 0 0
Ödev 0 0 0
Proje 0 0 0
Dönem sonu sınavı için hazırlık 7 1 7
Dönem sonu sınavı 2 1 2
Diğer 1 0 0 0
Diğer 2 0 0 0
Total work load158