# GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
NUMERICAL ANALYSIS/MAT-202
 Course Title: NUMERICAL ANALYSIS Credits 3 ECTS 4 Course Semester 4 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
Attended this course students learn the error analysis.
The students attended this course are able to numerical solution of linear equations system.
The students attended this course are able to numerical solution of nonlinear equation and nonlinear systems.
The students attended this course are able to numerical solution of enterpolation and curve fitting.
The students attended this course are able to numerical solution of numerical derrivative and numerical integral.
The students attended this course are able to numerical solution of initial value problems.
The students attended this course are able to have information about simple difference equations.

-- MODE OF DELIVERY
The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE 1. Week Numerical solution in engineering, Errors Analysis 2. Week Computer representations of numbers, integers and floating-point numbers (IEEE notations) Errors due to these impressions. 3. Week Numerical solution methods of linear equation systems. 4. Week The eigenvalue problem is the approximation of the largest and smallest eigenvalue. 5. Week Numerical solution methods of nonlinear equations 6. Week Numerical solution methods of nonlinear equations 7. Week Numerical solution methods of nonlinear equation systems. 8. Week Midterm exam. Interpolation Concept, forward difference, backward difference, central difference and their tables 9. Week Forward and Backward difference interpolation polynomials based on Finite Difference. 10. Week Curve Fitting, Least Squares Method. 11. Week Numerical differentiation methods. 12. Week Numerical integral methods. 13. Week Initial Value Problems, Euler Methods, Runge-Kutta Methods. 14. Week Discret Equations 15. Week 16. Week
-- TEACHING and LEARNING METHODS
-- ASSESSMENT CRITERIA
 Quantity Total Weighting (%) Midterm Exams 1 80 Assignment 1 20 Application 0 0 Projects 0 0 Practice 0 0 Quiz 0 0 Percent of In-term Studies 60 Percentage of Final Exam to Total Score 40