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
No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
COURSE DEFINITION
COURSE CONTENTS
WEEK
TOPICS
1st Week
Methods of Operations Research
2nd Week
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
9th Week
Duality in Linear Programming
10th Week
Dual Simplex Algorithm
11th Week
The best solution analysis
12th Week
Sensitivity Analysis
13th Week
Transportation Models
14th Week
Assignment Models
RECOMENDED OR REQUIRED READING
Kara, İ., Doğrusal Programlama, Bilim Teknik Yayınevi, 2.Baskı, 2000. Winston, W.L.,Operations Research: Applications and Algorithms, Duxbury Press, 3rd Edition,1994
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
Presentation,Lecture,Other
ASSESSMENT METHODS AND CRITERIA
1 Midterm
1 Quiz
1 Practice
1 Final Exam
ECTS WORKLOAD
Activities
Number
Hours
Workload
Midterm exam
1
1,5
1,5
Preparation for Quiz
Individual or group work
Preparation for Final exam
1
20
20
Course hours
14
3
42
Preparation for Midterm exam
1
15
15
Laboratory (including preparation)
Final exam
1
1,5
1,5
Homework
Project
1
70
70
Quiz
4
,5
2
Total Workload
152
Total Workload / 30
5,06
ECTS Credits of the Course
5
LANGUAGE OF INSTRUCTION
Turkish
WORK PLACEMENT(S)
No
KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
