FACULTY OF ENGINEERING
Department of Industrial Engineering
IE 354 | Course Introduction and Application Information
Course Name |
Combinatorial Optimization
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
IE 354
|
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 | - | |||||||
Course Coordinator | - | |||||||
Course Lecturer(s) | - | |||||||
Assistant(s) | - |
Course Objectives | To introduce the concepts of combinatorics, counting rules, recurrence relations and other topics related with combinatorial optimization. To present the application of these concepts to operational research problems. |
Learning Outcomes |
The students who succeeded in this course;
|
Course Description | The course covers a broad range of topics in combinatorial modeling and the systematic analysis. The topics include basic counting rules, generating functions, recurrence relations, some famous combinatorial optimization problems and related mathematical techniques. |
|
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 | What is Combinatorics? | |
2 | Introduction to Counting | Reading the slides supplied by the instructor Inroduction to Basic Counting Rules |
3 | Basic counting rules I | Reading the slides supplied by the instructor Basic Counting Rules |
4 | Basic counting rules II | Reading the slides supplied by the instructor Basic Counting Rules |
5 | Basic counting rules III | Reading the slides supplied by the instructor Basic Counting Rules |
6 | Recurrence relations I | Reading the slides supplied by the instructor Recurrence relations |
7 | Recurrence relations II | Reading the slides supplied by the instructor Recurrence relations |
8 | Midterm Exam | |
9 | Graph Theory I Famous Problems in Combinatorial Optimization I | Reading the slides supplied by the instructor Graph Theory |
10 | Graph Theory II Famous Problems in Combinatorial Optimization II | Reading the slides supplied by the instructor Graph Theory |
11 | Graph Theory III Famous Problems in Combinatorial Optimization III | Reading the slides supplied by the instructor Graph Theory |
12 | Graph Theory IV Famous Problems in Combinatorial Optimization IV | Reading the slides supplied by the instructor Graph Theory |
13 | Computational Complexity, Analysis of algorithms | Reading the slides supplied by the instructor Computational Complexity |
14 | Optimization Methods Famous Problems in Combinatorial Optimization V | Reading the slides supplied by the instructor Optimization Methods |
15 | Midterm Exam | |
16 | Review of the Semester |
Course Notes/Textbooks | |
Suggested Readings/Materials | Introductory Combinatorics, R.A. Brualdi, Prentice Hall, NJ, 1999 Applied Combinatorics, F.S. Roberts, Prentice Hall, NJ, 1984 Applied Combinatorics, A. Tucker, John Wiley & Sons, NY, 1984 A Friendly Introduction to Graph Theory, F. Buckley and M. Lewinter, Prentice Hall, NJ, 2002 Discrete and Combinatorial Mathematics: An Applied Introduction, Fifth Edition. Ralph P. Grimaldi, Addison Wesley, 2003. Combinatorial Optimization: Algorithms and Complexity, Christos H. Papadimitriou and Kenneth Steiglitz, Dover Publications, 1998. Lecture handouts. |
EVALUATION SYSTEM
Semester Activities | Number | Weigthing |
Participation |
1
|
10
|
Laboratory / Application | ||
Field Work | ||
Quizzes / Studio Critiques | ||
Portfolio | ||
Homework / Assignments |
1
|
20
|
Presentation / Jury | ||
Project | ||
Seminar / Workshop | ||
Oral Exams | ||
Midterm |
2
|
70
|
Final Exam | ||
Total |
Weighting of Semester Activities on the Final Grade |
100
|
|
Weighting of End-of-Semester Activities on the Final Grade | ||
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
|
2
|
28
|
Field Work |
0
|
||
Quizzes / Studio Critiques |
0
|
||
Portfolio |
0
|
||
Homework / Assignments |
1
|
34
|
34
|
Presentation / Jury |
0
|
||
Project |
0
|
||
Seminar / Workshop |
0
|
||
Oral Exam |
0
|
||
Midterms |
2
|
30
|
60
|
Final Exam |
0
|
||
Total |
170
|
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. |
X | ||||
6 | To be able to work efficiently in Industrial Engineering disciplinary and multidisciplinary teams; to be able to work individually. |
X | ||||
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. |
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9 | To be aware of professional and ethical responsibility; to have knowledge of the standards used in Industrial Engineering practice. |
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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. |
X | ||||
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. |
X |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
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