GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION

ADVANCED NUMERICAL ANALYSIS/5021334

Course Title:	ADVANCED NUMERICAL ANALYSIS
Credits	3	ECTS	7.5
Course Semester	1	Type of The Course	Elective

COURSE INFORMATION

-- (CATALOG CONTENT)

-- (TEXTBOOK)

-- (SUPPLEMENTARY TEXTBOOK)

-- (PREREQUISITES AND CO-REQUISITES)

-- LANGUAGE OF INSTRUCTION

Turkish

-- COURSE OBJECTIVES

-- COURSE LEARNING OUTCOMES

Students attending this course will able to gain ability for numerical differentiation and numerical integration.
Students attending this course will able to gain ability for numerical solution of ordinary and partial differential equations

-- MODE OF DELIVERY

The mode of delivery of this course is Face to face

--WEEKLY SCHEDULE
1. Week	Solution of non-linear systems of equations, interpolation-extrapolation
2. Week	Numerical differentiation.
3. Week	Numerical integration, Simpson’s rule, Gauss Quadrature, multiple integral.
4. Week	Ordinary differential equations, Numerical solution of initial value problems, Euler method, Taylor series method.
5. Week	Numerical solution of initial value problems, Taylor series method.
6. Week	Numerical solution of initial value problems, Runge-kutta method.
7. Week	Boundary value problems, shooting method.
8. Week	Midterm exam, Application of boundary value problems, finite difference method
9. Week	Finite difference method for boundary value problems, applications
10. Week	Partial-differential equations, Numerical solution of elliptic partial-differential equations, finite difference method, dirichlet and neumann bounda
11. Week	Numerical solution of elliptic partial-differential equations, hybrid method, ADI method, applications
12. Week	Numerical solution of parabolic partial-differential equations, explicit method, implicit method.
13. Week	Numerical solution of parabolic partial-differential equations, crank-nicolson method, theta method, derivative boundary conditions.
14. Week	Numerical solution of hyperbolic partial-differential equations.
15. Week
16. Week

-- TEACHING and LEARNING METHODS

-- ASSESSMENT CRITERIA

	Quantity	Total Weighting (%)
Midterm Exams	1	20
Assignment	1	10
Application	0	0
Projects	0	0
Practice	0	0
Quiz	1	10

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	3	42
Weekly Tutorial Hours			0
Reading Tasks	10	5	50
Searching in Internet and Library	8	7	56
Material Design and Implementation			0
Report Preparing			0
Preparing a Presentation			0
Presentation			0
Midterm Exam and Preperation for Midterm Exam	1	20	20
Final Exam and Preperation for Final Exam	1	20	20
Other (should be emphasized)			0
TOTAL WORKLOAD:			188
TOTAL WORKLOAD / 25:			7.52
Course Credit (ECTS):			7.5

-- COURSE'S CONTRIBUTION TO PROGRAM

NO	PROGRAM LEARNING OUTCOMES	1	2	3	4	5
1				X
2				X
3						X
4					X
5						X
6						X
7						X
8					X
9				X
10				X
11		X
12		X
13		X

-- NAME OF LECTURER(S)

(Prof. Dr. Can ÇINAR)

-- WEB SITE(S) OF LECTURER(S)

(http://websitem.gazi.edu.tr/site/cancinar)

-- EMAIL(S) OF LECTURER(S)

(cancinar@gazi.edu.tr)

Gazi University

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GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR