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
170300401706	NUMERICAL ANALYSIS	Elective	4	7	6

Level of Course Unit

First Cycle

Objectives of the Course

To introduce the basic knowledge of numerical analysis in algorithmics forms

Name of Lecturer(s)

Öğr. Gör. Dinçer Atasoy

Learning Outcomes

1	finding the solutions with iterative techniques in science and engineering
2	representing the solution techniques in algorithm.

Mode of Delivery

Daytime Class

Prerequisites and co-requisities

none

Recommended Optional Programme Components

BASIC ALGORITHM KNOWLEDGE

Course Contents

0 The least squares approximation. 1 Numerical derivative, 2 Numerical derivative by means of Lagrangian Interpolation. 3 Numerical derivative with finite differences. Basic approximations of 4 numerical integrals 5 numerical integral techniques1 6 numerical integral techniques 2 7 Approximate calculation of double integral 1 8 Approximate calculation of double integral 2 9 Initial and boundary value problems 10 Solution of ordinary differential equations by numerical methods 1. 11 Solution of ordinary differential equations by numerical methods 2. 12 Solution of partial differential equations by numerical methods 1. 13 . Solution of partial differential equations by numerical methods 2.

Weekly Detailed Course Contents

Week	Theoretical	Practice	Laboratory
1	0 The least squares approximation.
2	numericai differentiation
3	numerical differentiation with lagrange interpolation
4	numerical differentiation with finite differenc
5	numerical integration techniques 1
6	numerical integration techniques 2
7	Double integration 1
8	Double integration2
9	Initial value problem and boundary value problem
10	Numerical solution of ordinary differential equation.1
11	Numerical solution of ordinary differential equation.2
12	Numerical solution of partial differential equation.1
13	Numerical solution of partial differential equation.2

Recommended or Required Reading

Mathews,J.H.,Numerical methods for mathematics,science and engineering,Printice Hall,Englewood cliff,1992.

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

Work Placement(s)

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
Self Study	14	4	56
Individual Study for Mid term Examination	2	20	40
Individual Study for Final Examination	14	2	28
TOTAL WORKLOAD (hours)			169

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
LO1	4	5	4					4	4
LO2	4	5	4					4	4

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