Engineering Management with thesis
Master	TR-NQF-HE: Level 7	QF-EHEA: Second Cycle	EQF-LLL: Level 7

General course introduction information

Course Code:

MY502

Course Name:

Operations Research

Course Semester:

Fall

Course Credits:

Theoretical	Practical	Credit	ECTS
3	0	3	10

Language of instruction:

Course Requisites:

Does the Course Require Work Experience?:

Type of course:

Compulsory

Course Level:

Master

TR-NQF-HE:7. Master`s Degree

QF-EHEA:Second Cycle

EQF-LLL:7. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Dr.Öğr.Üyesi PARMİS SHAH MALEKI

Course Lecturer(s):

Dr.Öğr.Üyesi PARMİS SHAH MALEKI

Course Assistants:

Course Objective and Content

Course Objectives:

It is aimed to provide information about the establishment, solving and interpretation of Linear Programming models.

Course Content:

Introduction to linear programming (Chapter1) Establishing linear programming model (Chapter2) Graphic solution (Chapter 2) Sensitivity analysis in graphic solution (Chapter 2) Simplex method (Chapter 3) M method (Chapter 3) Two-stage method (Chapter 3) Special cases in simplex method (Chapter 3) Duality (Chapter 4) Primal-Dual relationship (Chapter 4) Economic interpretation of duality (Chapter 4) Sensitivity analysis (Chapter 4) Goal programming (Chapter 8) Goal programming (Chapter 8)

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) It provides the basic principles of linear programming to be known and solved.
2) A linear programming problem can be defined and model can be established.
3) Simple linear programming problems can be solved manually by graphic solution or simplex method.
4) The M method and the two-step method are learned and applied.
5) Duality and sensitivity analysis are learned and analyzed.
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week	Subject	Related Preparation
1)	Introduction to linear programming
2)	Setting up a linear programming model
3)	Graphic solution
4)	Sensitivity analysis in graphic solution
5)	Simplex method
6)	M method
7)	Two-step method
8)	Midterm
9)	Special cases in simplex method
10)	Duality
11)	Primal-Dual relationship
12)	Primal-Dual relationship
13)	Economic interpretation of duality
14)	Sensitivity Analysis
15)	Goal programming
16)	Final Exam

Sources

Course Notes / Textbooks:
References:	1. Winston, W.L., Operations Research: Applications and Algorithms, 4th Edition, Brooks/Cole-Thomson Learning, 2004. 2. Frederick S. Hillier and Gerald J. Lieberman, Introduction to Operations Research and Revised CD-ROM 8, McGraw-Hill Science, 2005. 3. Taha, H. A., Operations Research: An Introduction, 8th Edition, Prentice Hall, 2006.

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2	3	4	5
Program Outcomes

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

Program Outcomes

Level of Contribution

Learning Activity and Teaching Methods

Homework

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Homework
Application
Observation
Individual Project
Group project

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	5	% 5
Midterms	1	% 35
Final	1	% 60
total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Application	5	3	15
Study Hours Out of Class	15	12	180
Homework Assignments	14	3	42
Midterms	1	3	3
Final	1	3	3
Total Workload			285