TYPE OF COURSE UNIT	Compulsory Course
LEVEL OF COURSE UNIT	Bachelor's Degree
YEAR OF STUDY	2
SEMESTER	Fourth Term (Spring)
NUMBER OF ECTS CREDITS ALLOCATED	5
NAME OF LECTURER(S)	Associate Professor Barış Keçeci Assistant Professor Gözde Önder Uzun Assistant Professor Esra Dinler
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Have the ability to understand the basic concepts and principles of linear programming. 2) Model the industrial engineering problems. 3) Have the ability to apply operational research methods to solve the decison models. 4) Have the ability to use the related softwares and to interpret the results obtained.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	Yes(MAT210)
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	Origins of Operations Research. Systems approach, interdisciplinary research and the scientific method. Fundamentals and the theory of linear programming. The Simplex algorithm, big-M and two-phase Simplex method. Duality and sensitivity analysis. Transportation and assignment problems; shortest path, minimum spanning tree and minimum cost flow models.
COURSE CONTENTS	WEEK TOPICS 1st Week Operations Research: Methods of Operations Research 2nd Week Decision Making and Decision Models 3rd Week The Generic Form of a Linear Program and Basic Definitions 4th Week The Basics of Linear Programming and Solution Approaches 5th Week The Basics of the Simplex Algorithm 6th Week The Operations of the Simplex Algorithm 7th Week Big M ve Two Phase Simplex Algorithms 8th Week Midterm Exam 9th Week Duality in linear programming 10th Week Dual Simplex Algorithm 11th Week Sensitivity Analysis I 12th Week Sensitivity Analysis II 13th Week Transportation Models 14th Week Assignment Models
RECOMENDED OR REQUIRED READING	Kara, İ. (2000) Doğrusal Programlama, Bilim Teknik Yayınevi; Winston, W.L. (1994) Operations Research: Applications and Algorithms, Duxbury Press.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Presentation,Lecture,Other
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 35 Quiz 1 30 Practice 1 10 Attendance 1 5 Total(%) 80 Contribution of In-term Studies to Overall Grade(%) 80 Contribution of Final Examination to Overall Grade(%) 20 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam 1 2 2 Preparation for Quiz 1 5 5 Individual or group work 14 2 28 Preparation for Final exam 1 20 20 Course hours 14 4 56 Preparation for Midterm exam 1 20 20 Laboratory (including preparation) 1 4 4 Final exam 1 2 2 Homework Total Workload 137 Total Workload / 30 4,56 ECTS Credits of the Course 5
LANGUAGE OF INSTRUCTION	English
WORK PLACEMENT(S)	No