GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION

LİNEAR INEQUALİTY SYSTEAMS AND THEİR SOLUTİONS/5131305

Course Title:	LİNEAR INEQUALİTY SYSTEAMS AND THEİR SOLUTİONS
Credits	3	ECTS	7.5
Semester	1	Compulsory/Elective	Elective

COURSE INFO

-- LANGUAGE OF INSTRUCTION

Turkish

-- NAME OF LECTURER(S)

Prof.Dr.Baki KARLIGA

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

http://w3.gazi.edu.tr/~karliaga/

-- EMAIL(S) OF LECTURER(S)

karliaga@gazi.edu.tr

-- LEARNING OUTCOMES OF THE COURSE UNIT

To constitute some Relations between Linear Inequality Systems and Their Geometric correspondent.

-- MODE OF DELIVERY

The mode of delivery of this course is Face to face

-- PREREQUISITES AND CO-REQUISITES

There is no prerequisite or co-requisite for this course.

-- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS

Linear Algebra ,Analytic Geometry

--COURSE CONTENT
1. Week	Preliminarities in Linear Algebra and Analytic Geometry
2. Week	Visualization of Lineer Inequalitiys Systems on Plane.
3. Week	Solution of a Lineer Inequality System in Plane.
4. Week	Visualization of Lineer Inequalitiys Systems in Space.
5. Week	Solution of a Lineer Inequality System in Space.
6. Week	The Convear Hull of a point systems on plane
7. Week	The Convear Hull of a point systems in Space
8. Week	To Introduce of a Convex Polyhedral Cone in Plane
9. Week	To Find a Linear Inequality Systeam Corresponding to Convex Polyhedral Cone in Plane
10. Week	To Introduce of a Convex Polyhedral Cone in Space
11. Week	To Find a Linear Inequality Systeam Corresponding to Convex Polyhedral Cone in Space
12. Week	To Find a Feasible Region of Linear İnequalities Systems in Plane
13. Week	To Find a Feasible Region of Linear İnequalities Systems in Space
14. Week	To Introduce Linear Inequality Systems and Their Solutions in Euclidean N-Space
15. Week	To Solution of Linear Inequality Systems in Euclidean N-Space
16. Week	The Solutions of Linear Inequality Systems by Succesive Reduction of The Number Unknowns.

-- RECOMMENDED OR REQUIRED READING

Systems of Linear İnequalities, A.S.Solodovnikov,Mir Pub.,1979

-- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS

Lecture, Question & Answer, Demonstration, Drill - Practise

-- WORK PLACEMENT(S)

None

-- ASSESSMENT METHODS AND CRITERIA

	Quantity	Percentage
Mid-terms	1	40
Assignment	0	0
Exercises	0	0
Projects	0	0
Practice	0	0
Quiz	0	0
Contribution of In-term Studies to Overall Grade		40
Contribution of Final Examination to Overall Grade		60

-- WORKLOAD

Efficiency	Total Week Count	Weekly Duration (in hour)	Total Workload in Semester
Theoretical Study Hours of Course Per Week	14	3	42
Practising Hours of Course Per Week	0	0	0
Reading	10	5	50
Searching in Internet and Library	10	6	60
Designing and Applying Materials	0	0	0
Preparing Reports	0	0	0
Preparing Presentation	0	0	0
Presentation	0	0	0
Mid-Term and Studying for Mid-Term	1	10	10
Final and Studying for Final	1	20	20
Other	2	5	10
TOTAL WORKLOAD:			192
TOTAL WORKLOAD / 25:			7.68
ECTS:			7.5

-- COURSE'S CONTRIBUTION TO PROGRAM

NO	PROGRAM LEARNING OUTCOMES	1	2	3	4	5
1	To be able to develop their knowledge of theory and applications at master degree depending on the competencies acquired in undergraduate level.				X
2	To be able to recognize different problems encountered in mathematics and to be able to make studies for their solutions.				X
3	To be able to formulate new solutions with scientific methods mostly based on analysis and synthesis.				X
4	To be able to carry out his/her works either independently or in groups within a project considering his/her knowledge on the field he/she works in a critical approach.				X
5	To be able to continue his/her works considering social, scientific and ethical values.			X
6	To be able to follow scientific and social developments related to his/her field.				X
7	To be able to carry out his/her works within the framework of quality management, workplace safety and environmental awareness and to be able to present systematically his/her works using various methods like written, oral or visual.			X
8	To be able to use methods of accessing knowledge effectively in accordance with ethical values.			X
9	To be able to use knowledge in other disciplines by combining it with mathematical information.					X
10	To be able to make activities in the awareness of need for lifelong learning.				X
11	To be able to make connections between mathematical and social concepts and produce solutions with scientific methods.			X
12	To be able to use his/her mathematical knowledge in technology.				X

Gazi University