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FIRST CYCLE - BACHELOR'S DEGREE
FACULTY OF ENGINEERING
COMPUTER ENGINEERING DEPARTMENT
253 Computer Engineering
Course Information
Course Learning Outcomes
Course's Contribution To Program
ECTS Workload
Course Details
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COURSE INFORMATION
Course Code
Course Title
L+P Hour
Semester
ECTS
IENG 322
OPERATIONS RESEARCH
3 + 0
6th Semester
5
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
PO 12
LO 001
2
3
3
1
1
2
2
LO 002
1
3
2
2
2
2
3
LO 003
1
3
3
1
2
3
3
Sub Total
4
9
8
4
5
7
8
Contribution
1
0
3
3
0
0
1
2
2
0
3
0
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
20
20
Final examination
1
26
26
Total Work Load
ECTS Credit of the Course
130
5
COURSE DETAILS
Select Year
All Years
2023-2024 Fall
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2020-2021 Spring
2019-2020 Spring
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2017-2018 Spring
2016-2017 Spring
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2010-2011 Spring
Course Term
No
Instructors
Details
2023-2024 Fall
1
ÖZCAN MUTLU
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Course Details
Course Code
Course Title
L+P Hour
Course Code
Language Of Instruction
Course Semester
IENG 322
OPERATIONS RESEARCH
3 + 0
1
Turkish
2023-2024 Fall
Course Coordinator
E-Mail
Phone Number
Course Location
Attendance
Assoc. Prof. Dr. ÖZCAN MUTLU
mutlu@pau.edu.tr
MUH A0233
%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
Big M and thw phase method
8
Duality and dual simplex algorithm
9
Duality and dual simplex algorithm
10
Midterm exam
11
Sensitivity analysis
12
Transportation problems
13
Transportation problems
14
Assignment problems
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
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Home Page
About University
Name And Address
Acedemic Authorities
General Discription
Academic Calendar
General Admission Requirements
Recognition of Prior Learning
General Registration Procedures
ECTS Credit Allocation
Academic Guidance
Information For Students
Cost Of Living
Accommodation
Meals
Medical Facilities
Facilities for Special Needs Students
Insurance
Financial Support for Students
Student Affairs
Learning Facilities
International Programs
Language Courses
Internships
Sports Facilities and Leisure Activities
Student Associations
Practical Information for Mobile Students
Degree Programmes