Iğdır University Lifelong Learning Programme

Description of Individual Course Units

Course Unit Code	Course Unit Title	Type of Course Unit	Year of Study	Semester	Number of ECTS Credits
180102005100	NUMERICAL ANALYSIS	Compulsory	1	1	4

Level of Course Unit

First Cycle

Objectives of the Course

To introduce the way of solution techniques of numerical solution of some problems which is difficult or impossible to solve as analytically is aim of this course. On the other hand, the participant (student) would have set a bridge between theoretical subjects have been seen in Scientific and Engineering courses and Mathematical Courses.

Name of Lecturer(s)

Dr. Öğr. Üyesi Züleyha BİNGÜL

Learning Outcomes

1	Has ability to evaluation of practice problems in engineering and experimental results in laboratory.
2	Has ability to get approximate results of difficult problems.
3	Has background to make model and solve problems in science and engineering.
4	Control with desired accuracy in numerical solution and results of engineering problems.
5	Derive analytic formulation from experimental results.

Mode of Delivery

Daytime Class

Prerequisites and co-requisities

None

Recommended Optional Programme Components

None

Course Contents

Error Analysis, Solution Methods of Nonlinear Equations, Solution Methods of Linear Set of Equations, Interpolation and Curve Fitting, Numerical Derivation, Numerical Integration, Numerical Solution Methods of Ordinary Differential Equations.

Weekly Detailed Course Contents

Week	Theoretical	Practice	Laboratory
1	Error Analysis
2	Solution Methods of Nonlinear Equations
3	Solution Methods of Nonlinear Equations
4	Solution Methods of Nonlinear Equations
5	Solution Methods of Nonlinear Equations
6	Interpolation and Curve Fitting
7	Interpolation and Curve Fitting
8	Midterm
9	Numerical Derivation
10	Numerical Derivation
11	Numerical Integration
12	Numerical Integration
13	Numerical Solution Methods of Ordinary Differential Equations
14	Numerical Solution Methods of Ordinary Differential Equations
15	Final

Recommended or Required Reading

Chapra, S.C. ve Canale, R.P., Yazılım ve Programlama Uygulamalarıyla Mühendisler için Sayısal Yöntemler, Türkçesi: Heperkan, H. ve Kesgin, U., Liteatür, İstanbul, 2006. Karagöz, İ., Sayısal Analiz ve Mühendislik Uygulamaları, 3. baskı, Nobel Yayıncılık, 2011. Uzun, İ., Nümerik Analiz, Beta Yayıncılık, 2011. Tapramaz, R., Sayısal Çözümleme, Literatür, İstanbul, 2005. Çengel, Y. A., ve Palm, W. J., (Türçesi: Tahsin Engin), Mühendisler ve Fen Bilimciler İçin Diferansiyel Denklemler, Güven Kitabevi, İzmir, 2012.

Planned Learning Activities and Teaching Methods

Assessment Methods and Criteria

Term (or Year) Learning Activities	Quantity	Weight
Midterm Examination	1	100
SUM		100
End Of Term (or Year) Learning Activities	Quantity	Weight
Final Examination	1	100
SUM		100
Term (or Year) Learning Activities		40
End Of Term (or Year) Learning Activities		60
SUM		100

Language of Instruction

Turkish

Work Placement(s)

None

Workload Calculation

Activities	Number	Time (hours)	Total Work Load (hours)
Midterm Examination	1	1	1
Final Examination	1	2	2
Attending Lectures	14	3	42
Project Preparation	1	1	1
Project Presentation	1	1	1
Homework	14	6	84
TOTAL WORKLOAD (hours)			131

Contribution of Learning Outcomes to Programme Outcomes

	PO 1	PO 2	PO 3	PO 4	PO 5	PO 6	PO 7	PO 8	PO 9	PO 10	PO 11
LO1	5	5	5	5	5	5	4	5	5	5	5
LO2
LO3
LO4
LO5

* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High