GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION

NUMERICAL METHODS IN ACCIDENT ANALYSIS/5441322

Course Title:	NUMERICAL METHODS IN ACCIDENT 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

-Gaining ability to use numerical methods for the solution of different kinds investigation problem.
-Mathematical Modelling of accident investigation problems and development of solution strategies using numerical methods.
-Computer programming applications using numerical methods in accident investigation problems

-- MODE OF DELIVERY

The mode of delivery of this course is Face to face

--WEEKLY SCHEDULE
1. Week	1.Introduction Mathematical Modelling, Error Analysis, Programming
2. Week	2. Roots of Non-Linear Equations,
3. Week	3. Solutions of Non-linear Eqs. Systems
4. Week	4. Linear Algebraic Equations: Gauss Elimination, Gauss-Seidel, Gauss-Jordan, Thomas Algorithm,L-U Decomposition
5. Week	5. Least-Squares Regression; Linear Regression, Multiple Linear Regression, Nonlinear Regression.
6. Week	6.Interpolation; Newton's Divided-Difference Interpolating, Polynomials, Lagrange Interpolating Polynomials.:
7. Week	7.Numerical Differentiation and Integration
8. Week	8. Midterm Examination 1
9. Week	9. Improper Integrals, Numerical Differentiation, High-Accuracy Differentiation Formulas, Partial Differentiation.
10. Week	10. Ordinary Differential Equations: Euler's Method, Improved Euler (Heun) Method,
11. Week	11. Ordinary Differential Equations: Runge-Kutta Methods.
12. Week	12. Solution of Systems of Ordinary Differential Equations.
13. Week	13. Solution Methods for Partial Differential Equations.
14. Week	14. Case Studies for Partial Differential Equations.
15. Week	Midterm Examination 2
16. Week	Final Examination

-- TEACHING and LEARNING METHODS

-- ASSESSMENT CRITERIA

	Quantity	Total Weighting (%)
Midterm Exams	2	40
Assignment	1	10
Application	0	0
Projects	0	0
Practice	0	0
Quiz	0	0

Percent of In-term Studies		50
Percentage of Final Exam to Total Score		50

-- WORKLOAD

Activity	Total Number of Weeks	Duration (weekly hour)	Total Period Work Load
Weekly Theoretical Course Hours	13	3	39
Weekly Tutorial Hours	0	0	0
Reading Tasks	13	3	39
Searching in Internet and Library	13	3	39
Material Design and Implementation	0	0	0
Report Preparing	13	2	26
Preparing a Presentation	0	0	0
Presentation	0	0	0
Midterm Exam and Preperation for Midterm Exam	2	15	30
Final Exam and Preperation for Final Exam	1	20	20
Other (should be emphasized)	0	0	0
TOTAL WORKLOAD:			193
TOTAL WORKLOAD / 25:			7.72
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
14				X
15		X
16					X
17		X
18		X

-- NAME OF LECTURER(S)

(Head of Department)

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

(Ana Bilim Dalı Başkanlığı)

-- EMAIL(S) OF LECTURER(S)

(kazalar@gazi.edu.tr)

Gazi University

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GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR