IE566 THE DESIGN&ANALYSIS OF EXPERIMENTS
| Course Code: | 5680566 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 8.0 |
| Department: | Industrial Engineering |
| Language of Instruction: | English |
| Level of Study: | Graduate |
| Course Coordinator: | Prof.Dr. GÜLSER KÖKSAL |
| Offered Semester: | Fall or Spring Semesters. |
Course Objectives
- To understand basic concepts of experimentation.
- To develop statistical design of experiments for statistical inference, empirical model building and optimization purposes.
- To analyze data collected from designed experiments.
Course Content
The way in which information is used in inference making will be discussed by covering linear statistical models, multiparameter hypotheses, incomplete block designs. Random and mixed models.(R)
Course Learning Outcomes
The students are able to:
- treat control and noise factors properly in design of experiments
- choose the most appropriate size and structure for the experiment
- collect data for planned analysis properly
- analyze data for statistical inference
- analyze data for emprical model building
- analyze data for optimization
Program Outcomes Matrix
| Contribution | |||||
| # | Program Outcomes | No | Yes | ||
| 1 | Specialize with advanced knowledge in selected areas of Industrial Engineering; such as Production and Operations Management, Supply Chain Management, Business Analytics and Information Systems, Decision Sciences and Operational Research, Quality Management, Human Factors and Ergonomics, and Strategy and Industrial Economics. | ✔ | |||
| 2 | Have advanced ability to formulate and solve industrial engineering problems. | ✔ | |||
| 3 | Be able to systematically acquire new scientific knowledge to design and improve socio-technical systems. | ✔ | |||
| 4 | Be able to conduct scientific research in industrial engineering. | ✔ | |||
| 5 | Be able to apply critical reasoning in their professional careers. | ✔ | |||
| 6 | Appreciate the academics ethics. | ✔ | |||