FACULTY OF ENGINEERING
Department of Computer 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 |
|
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Course Language |
English
|
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Course Type |
Service Course
|
|||||||
Course Level |
First Cycle
|
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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;
|
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. |
|
Core Courses | |
Major Area Courses | ||
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
|
|
Laboratory / Application | ||
Field Work | ||
Quizzes / Studio Critiques |
1
|
20
|
Portfolio | ||
Homework / Assignments | ||
Presentation / Jury | ||
Project |
1
|
15
|
Seminar / Workshop | ||
Oral Exams | ||
Midterm |
1
|
30
|
Final Exam |
1
|
35
|
Total |
Weighting of Semester Activities on the Final Grade |
4
|
70
|
Weighting of End-of-Semester Activities on the Final Grade |
1
|
35
|
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 Computer Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems. |
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2 | To be able to identify, define, formulate, and solve complex Computer Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose. |
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3 | To be able to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the requirements; to be able to apply modern design methods for this purpose. |
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4 | To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in Computer Engineering applications; to be able to use information technologies effectively. |
|||||
5 | To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or Computer Engineering research topics. |
|||||
6 | To be able to work efficiently in Computer Engineering disciplinary and multi-disciplinary 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 global and social impact of Computer Engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of Computer Engineering solutions. |
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9 | To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications. |
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10 | To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development. |
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11 | To be able to collect data in the area of Computer Engineering, and to be able to communicate with colleagues in a foreign language. ("European Language Portfolio Global Scale", Level B1) |
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12 | To be able to speak a second foreign language at a medium level of fluency efficiently. |
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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 Computer Engineering. |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
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