Course Name | Optimization I |
Code | Semester | Theory (hour/week) | Application/Lab (hour/week) | Local Credits | ECTS |
---|---|---|---|---|---|
IE 251 | Fall | 2 | 2 | 3 | 6 |
Prerequisites |
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Course Language | English | ||||||||
Course Type | Required | ||||||||
Course Level | First Cycle | ||||||||
Mode of Delivery | - | ||||||||
Teaching Methods and Techniques of the Course | Group WorkProblem SolvingCase StudyApplication: Experiment / Laboratory / Workshop | ||||||||
Course Coordinator | |||||||||
Course Lecturer(s) | |||||||||
Assistant(s) |
Course Objectives | This course is the first part of a two term sequence, aims to give students a good foundation in the theory and applications of linear programming problems as well as an appreciation of its potential applications extensively in such diverse areas as manufacturing, financial planning, health care, the military, public services etc. |
Learning Outcomes | The students who succeeded in this course;
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Course Description | The main subjects of the course are the construction of linear programming models, the geometrical interpretation of solutions to the linear optimization problems and their algebraic groundwork, the simplex method, duality theory, sensitivity analysis and the dual simplex method. |
Related Sustainable Development Goals | |
| Core Courses | |
Major Area Courses | X | |
Supportive Courses | ||
Media and Managment Skills Courses | ||
Transferable Skill Courses |
Week | Subjects | Required Materials |
1 | Introduction | Chapters 1 and 2: Introduction to Operations Research, Frederick S. Hillier, Gerald J. Lieberman |
2 | Introduction to Linear Programming | Chapter 3: Introduction to Operations Research, Frederick S. Hillier, Gerald J. Lieberman |
3 | Introduction to Linear Programming | Chapter 3: Introduction to Operations Research, Frederick S. Hillier, Gerald J. Lieberman |
4 | Introduction to Linear Programming | Chapter 3: Introduction to Operations Research, Frederick S. Hillier, Gerald J. Lieberman |
5 | The Simplex Algorithm | Chapters 4 and 5: Introduction to Operations Research, Frederick S. Hillier, Gerald J. Lieberman |
6 | The Simplex Algorithm | Chapters 4 and 5: Introduction to Operations Research, Frederick S. Hillier, Gerald J. Lieberman |
7 | The Simplex Algorithm | Chapters 4 and 5: Introduction to Operations Research, Frederick S. Hillier, Gerald J. Lieberman |
8 | Midterm Exam | |
9 | The Simplex Algorithm | Chapters 4 and 5: Introduction to Operations Research, Frederick S. Hillier, Gerald J. Lieberman |
10 | Sensitivity Analysis and Duality | Chapter 6: Introduction to Operations Research, Frederick S. Hillier, Gerald J. Lieberman |
11 | Sensitivity Analysis and Duality | Chapter 6: Introduction to Operations Research, Frederick S. Hillier, Gerald J. Lieberman |
12 | Sensitivity Analysis and Duality | Chapter 7: Introduction to Operations Research, Frederick S. Hillier, Gerald J. Lieberman |
13 | Sensitivity Analysis and Duality | Chapter 8: Introduction to Operations Research, Frederick S. Hillier, Gerald J. Lieberman |
14 | General Review, Discussion and Evaluation | |
15 | Review of the Semester | |
16 | Review of the Semester |
Course Notes/Textbooks | Introduction to Operations Research, Frederick S. Hillier, Gerald J. Lieberman, Tenth Edition, 2010 Mc GrawHill, ISBN: 9780071267670. |
Suggested Readings/Materials | Operations Research: Applications and Algorithms, Wayne L. Winston, 4th Ed., Duxbury Press, ISBN 0534209718. Operations Research. An Introduction, Hamdy A. Taha, Sixth Edition, 1997, PrenticeHall, ISBN 0132811723. |
Semester Activities | Number | Weighting |
Participation | ||
Laboratory / Application | 1 | 10 |
Field Work | ||
Quizzes / Studio Critiques | 1 | 20 |
Portfolio | ||
Homework / Assignments | 1 | 10 |
Presentation / Jury | ||
Project | - | |
Seminar / Workshop | ||
Oral Exam | ||
Midterm | 1 | 25 |
Final Exam | 1 | 35 |
Total |
Weighting of Semester Activities on the Final Grade | 3 | 65 |
Weighting of End-of-Semester Activities on the Final Grade | 1 | 35 |
Total |
Semester Activities | Number | Duration (Hours) | Workload |
---|---|---|---|
Course Hours (Including exam week: 16 x total hours) | 16 | 2 | 32 |
Laboratory / Application Hours (Including exam week: 16 x total hours) | 16 | 2 | |
Study Hours Out of Class | 14 | 4 | 56 |
Field Work | |||
Quizzes / Studio Critiques | 1 | 15 | |
Portfolio | |||
Homework / Assignments | 1 | 15 | |
Presentation / Jury | |||
Project | - | ||
Seminar / Workshop | |||
Oral Exam | |||
Midterms | 1 | 14 | |
Final Exams | 1 | 16 | |
Total | 180 |
# | 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. | X |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest