FACULTY OF ENGINEERING
GEOMATICS ENGINEERING
Course Name   NUMERICAL ANALYSIS
Semester Course Code Theoretical / Practice time ECTS
4 1205430 3 / 0 4
Course Degree Bachelor's degree
Course Language Turkish
Format of Delivery: Face to Face
Course Coordinator Assoc. Prof. Dr.Fatih İŞCAN
Coordinator e-mail fiscan selcuk.edu.tr
Instructors
Yrd.Doç.Dr.Gülgün ÖZKAN
Asistant Instructors
Course Objectives Geomatics-Engineering students need to be able to teach about the topics of numerical solutions.
Basic Sciences Engineering Scinces Social Sciences Educational Sciences Artistic sciences Medical Science Agricultural sciences
50 50 0 0 0 0 0
Course Learning Methods and Techniquies
Teaching in clasroom, answer discusion
Week Course Content Resource
1 Introduction Steven T. Karris, Numerical Analysis Using MATLAB and Excel, Third Edition, 2007, Ord Publications
2 Basic matrix operations: Special matrices and definitions. Steven T. Karris, Numerical Analysis Using MATLAB and Excel, Third Edition, 2007, Ord Publications
3 Inverse-making methods, and examples Steven T. Karris, Numerical Analysis Using MATLAB and Excel, Third Edition, 2007, Ord Publications
4 Determinants of calculation methods, Eigenvalues and eigenvectors Steven T. Karris, Numerical Analysis Using MATLAB and Excel, Third Edition, 2007, Ord Publications
5 Solution of Linear Equations: Gaussian elimination, LU decomposition, Cholesky method and examples Steven T. Karris, Numerical Analysis Using MATLAB and Excel, Third Edition, 2007, Ord Publications
6 Solution of Linear Equations: Jacobi iterative methods, Jacobi iteration, Gauss-Seidel iteration, and examples Steven T. Karris, Numerical Analysis Using MATLAB and Excel, Third Edition, 2007, Ord Publications
7 Non-Linear Equations and Solution Methods: Graphical methods, Power Series method Steven T. Karris, Numerical Analysis Using MATLAB and Excel, Third Edition, 2007, Ord Publications
8 Non-Linear Equations and Solution Methods: A simple iteration, Two Compartment (Bisecion) method, Newton Raphson iteration method and examples Steven T. Karris, Numerical Analysis Using MATLAB and Excel, Third Edition, 2007, Ord Publications
9 Interpolation and Extrapolation Steven T. Karris, Numerical Analysis Using MATLAB and Excel, Third Edition, 2007, Ord Publications
10 Midterm exam
11 The least squares method Steven T. Karris, Numerical Analysis Using MATLAB and Excel, Third Edition, 2007, Ord Publications
12 The least squares method for applications in the profession Steven T. Karris, Numerical Analysis Using MATLAB and Excel, Third Edition, 2007, Ord Publications
13 Curve fitting Steven T. Karris, Numerical Analysis Using MATLAB and Excel, Third Edition, 2007, Ord Publications
14 Regression calculation Steven T. Karris, Numerical Analysis Using MATLAB and Excel, Third Edition, 2007, Ord Publications
15 General review
Assesment Criteria   Mid-term exam Final exam
  Quantity Percentage Quantity Percentage  
Term Studies : - - - -
Attendance / Participation : - - - -
Practical Exam : - - - -
Special Course Exam : - - - -
Quiz : - - - -
Homework : - - - -
Presentations and Seminars : - - - -
Projects : - - - -
Workshop / Laboratory Applications : - - - -
Case studies : - - - -
Field Studies : - - - -
Clinical Studies : - - - -
Other Studies : - - - -
Mid-term exam   1 40 - -
Final exam   - - 1 60
ECTS WORK LOAD TABLE   Number Duration
Course Duration : 14 3
Classroom Work Time : 5 5
Presentations and Seminars : 0 0
Course Internship : 0 0
Workshop / Laboratory Applications : 0 0
Field Studies : 0 0
Case studies : 0 0
Projects : 0 0
Homework : 0 0
Quiz : 0 0
Mid-term exam : 1 25
Final Exam : 1 28
ECTS 4
No COURSE LEARNING OUTCOMES CONTRIBUTION
D.Ö.Ç. 1 To learn basic matrix operations 4
D.Ö.Ç. 2 To learn Solution of Linear and Non-Lineer Equations 4
D.Ö.Ç. 3 To learn Interpolation and Extrapolation 3
D.Ö.Ç. 4 To learn regression, correlation and curve fitting 3
* 1: Zayıf - 2: Orta - 3: İyi - 4: Çok İyi
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