IE452 MATHEMATICAL MODELING&APPLICATIONS
| Course Code: | 5680452 |
| 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: | Assist.Prof.Dr SAKİNE BATUN |
| Offered Semester: | Fall or Spring Semesters. |
Course Objectives
At the end of the course, the students will
1. refine their understanding of the general principles of model building in mathematical programming, and recognize the scope and limitations of mathematical programming.
2. be able to apply mathematical programming to real life problems in production and service systems.
3. become familiar with typical implementation problems encountered in real life applications such as data handling, input/output requirements and validation.
Course Content
The aim of this course is to develop better skills in building and understanding mathematical modeling. Deterministic models in the areas of transportation, distribution, location, production and economic planning are analyzed.
Course Learning Outcomes
At the end of the course, the students will
1.1. describe steps of model building process.
1.2. define assumptions of mathematical models.
1.3. define objectives and constraints.
2.1. identify and build appropriate mathematical models for network problems.
2.2. identify and build appropriate mathematical models for location problems.
2.3. identify and build appropriate mathematical models for distribution problems.
2.4. identify and build appropriate mathematical models for productions planning and scheduling problems.
3.1. collect data to estimate the value of parameters.
3.2. verify and validate the mathematical model.
3.3. perform sensitivity/scenario analysis.
3.4. select among alternative courses of actions.
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 | ✔ | |||