PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
ISY 603	LINEAR OPTIMIZATION	3 + 0	1st Semester	10

COURSE DESCRIPTION

Course Level	Doctorate Degree
Course Type	Elective
Course Objective	The purpose of this course, decide to provide the non-linear models optimisazyonunda. numerical examples demonstrate the basic ideas of methods and models to use as the main vehicle to provide
Course Content	Optimization Problem / Classical Optimization / Constraints and Lagrange Multiplier / Optimization in condition of inequalities limitations / Research Methods with one dimension / Unrestricted Gradient Techniques / Penalty Function Method / Dynamic programming / Large-Scale Programming .
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Linear optimization can define fundamental concepts, assumptions and related to strategies
2	Linear optimization strategies can announce the impact of business on the efficiency
3	Scarce resources can provide an optimal deployment
4	Linear optimization with the help of business arrangement can be found in the work and research
5	Business analysis planning processes based on calculations based on them, and they can.

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07
LO 001	4	4	2	5			4
LO 002	5	4	2	5			4
LO 003	4	4	2	5			5
LO 004	4	5	1	5			5
LO 005	5	4	1	5			5
Sub Total	22	21	8	25			23
Contribution	4	4	2	5	0	0	5

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Hours for off-the-classroom study (Pre-study, practice)	14	5	70
Assignments	3	20	60
Mid-terms	1	18	18
Final examination	1	20	20
Presentation / Seminar Preparation	2	25	50
Total Work Load ECTS Credit of the Course			260 10

COURSE DETAILS

Select Year

	Course Term	No	Instructors
Details	2020-2021 Fall	1	ARZU ORGAN

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
ISY 603	LINEAR OPTIMIZATION	3 + 0	1	Turkish	2020-2021 Fall

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Prof. Dr. ARZU ORGAN	aorgan@pau.edu.tr		Course location is not specified.	%70

Goals		The purpose of this course, decide to provide the non-linear models optimisazyonunda. numerical examples demonstrate the basic ideas of methods and models to use as the main vehicle to provide
Content		Optimization Problem / Classical Optimization / Constraints and Lagrange Multiplier / Optimization in condition of inequalities limitations / Research Methods with one dimension / Unrestricted Gradient Techniques / Penalty Function Method / Dynamic programming / Large-Scale Programming .

Topics

Weeks	Topics
1	Linear optimization
2	Linear optimization
3	Linear optimization of problems
4	Linear optimization of problems
5	case study
6	Classical optimization
7	constraints and Lagranje multiplier
8	midterm
9	Optimization in condition of inequalities limitations
10	case study
11	linear optimization computer applications:Winqsb
12	linear optimization computer applications:LİNGO
13	linear optimization computer applications:LİNDO
14	applied research work

Materials

Materials are not specified.

Resources

Resources	Resources Language
Cemal Özgüven, Doğrusal programlama uzantıları, detay yayıncılık, Ankara ,2008	Türkçe

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Final Exam	50	Final Exam
Midterm Exam	50	Midterm Exam

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student