FACULTY OF ENGINEERING

Department of Industrial Engineering

IE 359 | Course Introduction and Application Information

Course Name
Network Optimization
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
IE 359
Fall/Spring
3
0
3
6

Prerequisites
  IE 252 To succeed (To get a grade of at least DD)
Course Language
English
Course Type
Elective
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course Lecture / Presentation
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives Network flow problems form a subclass of linear programming problems with applications to transportation, logistics, manufacturing, computer science, project management, finance as well as a number of other domains. The aim of this course is to introduce the basic network problems and solution methods to the students.
Learning Outcomes The students who succeeded in this course;
  • Will be able to formulate a wide variety of industrial systems engineering applications as network flow problems
  • Will be able to identify well studied network flow problems like shortest path, minimum spanning tree and maximal flow
  • Will be able to build the mathematical models of network flow problems
  • Will be able to use various techniques to solve network optimization problems
  • Will be able to apply methods he/she learned to specially structured network optimization problems
Course Description Topics of this course include the shortest path problem, the maximum flow problem, the minimum cost flow problem, the multicommodity flow problem and other extensions of network flow problems.

 



Course Category

Core Courses
Major Area Courses
X
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Introduction, Notation and definitions Network Flows: Theory, Algorithms, and Applications, Chapters 1, 2
2 Shortest paths Network Flows: Theory, Algorithms, and Applications, Chapters 4
3 Shortest paths Network Flows: Theory, Algorithms, and Applications, Chapters 5
4 Maximum flows Network Flows: Theory, Algorithms, and Applications, Chapters 6-7-8
5 Maximum flows Network Flows: Theory, Algorithms, and Applications, Chapters 6-7-8
6 Minimum cost flows Network Flows: Theory, Algorithms, and Applications, Chapters 9-10-11
7 Minimum cost flows Network Flows: Theory, Algorithms, and Applications, Chapters 9-10-11
8 Minimum spanning trees Network Flows: Theory, Algorithms, and Applications, Chapters 13
9 Midterm
10 Assignments and matchings Network Flows: Theory, Algorithms, and Applications, Chapters 12-17
11 Transportation problem
12 Travelling salesman problem
13 Chinese postman problem, Vehicle routing problem
14 Project Presentations
15 Review of the Semester
16 Final

 

Course Notes/Textbooks

Instructor notes and lecture slides.

Suggested Readings/Materials

Ravindra K. Ahuja, Thomas L. Magnanti, James B. Orlin, Network Flows: Theory, Algorithms, and Applications, Prentice Hall. 

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
1
10
Laboratory / Application
Field Work
Quizzes / Studio Critiques
1
20
Portfolio
Homework / Assignments
Presentation / Jury
Project
1
15
Seminar / Workshop
Oral Exams
Midterm
1
25
Final Exam
1
30
Total

Weighting of Semester Activities on the Final Grade
4
70
Weighting of End-of-Semester Activities on the Final Grade
1
30
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
0
Study Hours Out of Class
14
4
56
Field Work
0
Quizzes / Studio Critiques
1
15
15
Portfolio
0
Homework / Assignments
0
Presentation / Jury
0
Project
1
20
20
Seminar / Workshop
0
Oral Exam
0
Midterms
1
17
17
Final Exam
1
24
24
    Total
180

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To have adequate knowledge in Mathematics, Science and Industrial Engineering; to be able to use theoretical and applied information in these areas to model and solve Industrial Engineering problems.

X
2

To be able to identify, formulate and solve complex Industrial Engineering problems by using state-of-the-art methods, techniques and equipment; to be able to select and apply proper analysis and modeling methods for this purpose.

X
3

To be able to analyze a complex system, process, device or product, and to design with realistic limitations to meet the requirements using modern design techniques.

X
4

To be able to choose and use the required modern techniques and tools for Industrial Engineering applications; to be able to use information technologies efficiently.

X
5

To be able to design and do simulation and/or experiment, collect and analyze data and interpret the results for investigating Industrial Engineering problems and Industrial Engineering related research areas.

6

To be able to work efficiently in Industrial Engineering disciplinary and multidisciplinary teams; to be able to work individually.

7

To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively; to be able to give and receive clear and comprehensible instructions

8

To have knowledge about contemporary issues and the global and societal effects of Industrial Engineering practices on health, environment, and safety; to be aware of the legal consequences of Industrial Engineering solutions.

9

To be aware of professional and ethical responsibility; to have knowledge of the standards used in Industrial Engineering practice.

10

To have knowledge about business life practices such as project management, risk management, and change management; to be aware of entrepreneurship and innovation; to have knowledge about sustainable development.

11

To be able to collect data in the area of Industrial Engineering; to be able to communicate with colleagues in a foreign language.

12

To be able to speak a second foreign at a medium level of fluency efficiently.

13

To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Industrial Engineering.

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 


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