PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
IENG 322	OPERATIONS RESEARCH	3 + 0	7th Semester	4

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Elective
Course Objective	This cours will give students the information about how to formulate and solve the problems met in business. In addition, this course teach the computer packages that can be used in the solution e f the models.
Course Content	The basic concepts and history of OR/Applications of OR/Linear programming (LP)/Solution Methods of LP/Simplex algorithm/ Big M and Two Phase Methods/Duality and Dual Simplex Algorithm/Sensitivity analysis/Transportation problems/Assignment Problems/
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Formulate a real – world problem in a linear programming model
2	Use a suitable technique to solve the linear programming model
3	Use a computer package to solve the linear programming model

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07	PO 08	PO 09	PO 10	PO 11
LO 001	1	1	2	1		2	4	1	1	1	1
LO 002	1	1	2	1		2	4	1	2	1	1
LO 003	1	1	2	1	1	3	4	2	2	1	2
Sub Total	3	3	6	3	1	7	12	4	5	3	4
Contribution	1	1	2	1	0	2	4	1	2	1	1

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	3	42
Mid-terms	1	6	6
Final examination	1	14	14
Total Work Load ECTS Credit of the Course			104 4

COURSE DETAILS

Select Year

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
IENG 322	OPERATIONS RESEARCH	3 + 0	2	Turkish	2020-2021 Spring

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Assoc. Prof. Dr. ÖZCAN MUTLU	mutlu@pau.edu.tr		MUH A0302 MUH A0484	%70

Goals		This cours will give students the information about how to formulate and solve the problems met in business. In addition, this course teach the computer packages that can be used in the solution e f the models.
Content		The basic concepts and history of OR/Applications of OR/Linear programming (LP)/Solution Methods of LP/Simplex algorithm/ Big M and Two Phase Methods/Duality and Dual Simplex Algorithm/Sensitivity analysis/Transportation problems/Assignment Problems/

Topics

Weeks	Topics
1	Basic concepts
2	Linear programming (LP) problems
3	LP aplications
4	LP aplications
5	Simplex algorithm
6	Simplex algorithm
7	Transportation problems
8	Transportation problems
9	Assignment problems
10	Midterm exam
11	Assignment problems
12	Shortest Path Problem
13	Minimum Spaning Tree Problem
14	Maksimum Flow Problem

Materials

Materials are not specified.

Resources

Resources	Resources Language
Operations Research Applications and Algorithms Wayne L. Winston, PWS-Kent Publishing Company	English
Yöneylem Araştırması, Hamdi Taha, Literatür Yayınları	Türkçe

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Final Exam	60	Final Exam
Midterm Exam	40	Midterm Exam

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

Prospective Student