IE407 FUNDAMENTALS OF OPERATIONAL RESEARCH
| Course Code: | 5680407 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 5.0 |
| Department: | Industrial Engineering |
| Language of Instruction: | English |
| Level of Study: | Undergraduate |
| Course Coordinator: | Prof.Dr. ESRA KARASAKAL |
| Offered Semester: | Once in several years. |
Course Objectives
Course objectives and learning outcomes: At the end of the course, the students will
1. have an understanding of the general principles of linear programming.
2. acquire the skills to formulate and build linear programming models, understand how to solve linear programming problems and how to make sensitivity analysis.
3. become familiar with the special types of linear programming problems such as transportation, transshipment, assignment and network problems.
4. acquire the skills to formulate integer programming models.
5. acquire the skills to formulate and solve problems that involve sequential interrelated decisions.
Course Content
An introduction to the methodology of operational research. Survey and examples of OR models. Basics of linear programming. Networks, integer programming and queuing models. Dynamic programming. (Offered to non-IE students only).
Course Learning Outcomes
Course objectives and learning outcomes: At the end of the course, the students will
1.1. describe steps of model building process.
1.2. define assumptions of linear programming models.
1.3. identify application areas of linear programming.
2.1. define parameters, decision variables, objectives and constraints.
2.2. develop linear programming models.
2.3. solve linear programming models and make sensitivity analysis using the graphical method and mathematical programming software.
2.4. identify the relation between the primal and the dual problems.
3.1. identify and build transportation models.
3.2. identify and build transshipment models.
3.3. identify and build assignment models.
3.4. identify and build network models.
3.5. solve network problems using appropriate algorithms.
4.1. identify and build integer programming models.
5.1. model a sequential decision situation using dynamic programming.
5.2. write recursive functions.
5.3. solve dynamic programming models.
Program Outcomes Matrix
| Contribution | |||||
| # | Program Outcomes | No | Yes | ||
| 1 | An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics | ✔ | |||
| 2 | An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors | ✔ | |||
| 3 | An ability to communicate effectively with a range of audiences | ✔ | |||
| 4 | An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts | ✔ | |||
| 5 | An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives | ✔ | |||
| 6 | An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | ✔ | |||
| 7 | An ability to acquire and apply new knowledge as needed, using appropriate learning strategies | ✔ | |||
| 8 | An ability to design, analyze, operate, and improve integrated systems that produce and/or supply products and/or services in an effective, efficient, sustainable, and socially responsible manner | ✔ | |||
| 9 | An ability to apply critical reason and systems thinking in problem solving and systems design | ✔ | |||
| 10 | An ability to use scientific methods and tools (such as mathematical models, statistical methods and techniques) necessary for industrial engineering practice | ✔ | |||