GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
NUMERICAL ANALYSIS/MAT3011
Course Title: NUMERICAL ANALYSIS
Credits 3 ECTS 4
Course Semester 5 Type of The Course Compulsory
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
So far, using only analytical methods, it gives a new perspective to students who have knowledge about problem-solving.
Emphasizes the effective use of computers in mathematics engineering and many other areas.
It allows associating course contents with other branches of mathematics such as analysis, algebra and etc.
Students are informed about computer programming and algorithm preparation.
Prepares the students to postgraduate level.

 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Errors and Computer arithmetic
2. Week  The solution of nonlinear equations: Method of Fixed Point iteration
3. Week  The solution of nonlinear equations: Newton’s Method and convergence of the method
4. Week  The solution of nonlinear equations:Regula Falsi Iteration
5. Week  The solution of nonlinear equations: Method of halving the interval (Bisection method)
6. Week  Newton and Fixed point iteration for the systems of nonlinear equations
7. Week  Solving Sets of Equations: Gauss Elimination and Gauss Jordan Methods
8. Week  Midterm Exam
9. Week  Solving Sets of Equations: LU method
10. Week  Solving linear systems by Iterative methods: Jacobi method
11. Week  Solving linear systems by Iterative methods:Gauss-Siedel method
12. Week  Eigen value and Eigen vector Problems: Faddiev-Leverrier method
13. Week  Eigen value and Eigen vector Problems:Vianello iterative approximation method
14. Week  Interpolation: Interpolating polynomials:Newton –Gauss Interpolation formulas
15. Week  Lagrange Interpolation
16. Week  Final Exam
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
30
 Assignment
0
0
 Application
2
10
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
40
 Percentage of Final Exam to Total Score  
60
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
2
28
 Weekly Tutorial Hours
14
2
28
 Reading Tasks
5
3
15
 Searching in Internet and Library
5
3
15
 Material Design and Implementation
0
 Report Preparing
0
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
1
7
7
 Final Exam and Preperation for Final Exam
1
7
7
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
100
 TOTAL WORKLOAD / 25: 
4
 Course Credit (ECTS): 
4
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1To train individuals who are contemporary, entrepreneur and have unique and aesthetic values, self-confidence and capable of independent decision-making.X
2To give good education in the program fields as algebra, geometry, applied mathematics, topology and analysis in order to be equipped with enough mathematics.X
3To teach mathematical thinking methods in order to improve the ability to express mathematics both orally and in writing.X
4To train individuals who are knowledgeable about the history of mathematics and the production of scientific knowledge and can follow developments in these disciplines.X
5To provide necessary equipments to take positions such areas as banking, finance, econometrics, and actuarial.X
6To acquire ability to solve problems encountered in real life by means of mathematical modeling using mathematical methods.X
7To provide ability to do necessary resource researches in the areas of mathematics and to use accessed information.X
8To give appropriate training in such areas as in computer programming and creating algorithms in order to take parts in developing IT sector.X
9To gain substructure to be able to study at graduate level.X
10To enable the student to gain the ability of relating mathematics with the other sciences.X
 -- NAME OF LECTURER(S)
   (Prof. Dr. Fatma AYAZ)
 -- WEB SITE(S) OF LECTURER(S)
   (http://websitem.gazi.edu.tr/site/fayaz)
 -- EMAIL(S) OF LECTURER(S)
   (fayaz@gazi.edu.tr)