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: | Assist.Prof.Dr ŞAKİR KARAKAYA |
| Offered Semester: | Fall or Spring Semesters. |
Course Objectives
By the end of the course the students will be able to:
- Understand the fundamental principles and the basic concepts of experimentation and statistical design of experiments.
- Describe the role of statistical design of experiments in improving products and processes within engineering context.
- Apply methodologies for designing efficient experiments aimed at statistical inference, empirical model building, and process optimization.
- Analyze data collected from designed experiments and derive inferences to support engineering decisions.
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
- Define an experimental problem with clear objectives, key responses, and relevant factors.
- Identify and integrate control and noise factors into the experimental design process appropriately.
- Choose the most suitable design for the experimental problem based on statistical and operational considerations.
- Collect data for designed experiment properly.
- Perform analysis of experimental data for statistical inferences.
- Build empirical model from experimental data.
- Interpret analysis results to support product or process 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. | ✔ | |||