IE 424Process Quality Engineering
Statistical methods for engineering process characterization and improvement. For non-Industrial Engineering majors. I E 424 Process Quality Engineering (3) This course will provide students with probabilistic and statistical methods required to improve the quality of products and processes. It will start with the introduction to quality culture and the key elements of quality improvement. Then the methods for data presentation and interpretation are discussed. Next, the basic probability concepts and commonly used probability distributions are taught followed by statistical concepts, such as sampling distributions, point and interval estimation, and hypotheses testing. The concepts and methods of statistical tools required for process selection and improvement such as process capability indexes and control charts are discussed next. The course ends with the coverage of simple and multiple regression models.
Prerequisites
From the catalog: “MATH 141 Enforced Concurrent at Enrollment: MATH 220 or BE 301”
Where it sits in degree plans
Suggested plans most often put it in Year 2 · Spring (3 programs).
Required in (2)
- Materials Science and Engineering, B.S.
- Polymer Engineering and Science, B.S.
One of the options in (9)
- Architectural Engineering, B.A.E.
- Biological Engineering, B.S.
- Civil Engineering, B.S. (Capital)
- Civil Engineering, B.S. (Engineering)
- Electrical Engineering Technology, B.S. (Capital)
- Electrical Engineering Technology, B.S. (Engineering)
- Electrical Engineering, B.S. (Engineering)
- Environmental Health and Safety, Minor
- Service Enterprise Engineering, Minor