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University Bulletin
Undergraduate Degree Programs

These course descriptions are not being updated as of August 1, 2016. Current course descriptions are maintained in LionPATH.

Industrial Engineering (I E)

I E 424 Process Quality Engineering (3) 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.

General Education: None
Diversity: None
Bachelor of Arts: None
Effective: Spring 2016
Prerequisite: MATH 141 and prerequisite or concurrent:MATH 220 orB E 301
Concurrent: MATH 220 or B E 301

Note : Class size, frequency of offering, and evaluation methods will vary by location and instructor. For these details check the specific course syllabus.


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Course descriptions are stored in LionPATH, the University-wide student information system. Please visit the LionPATH Course Catalog to access current course descriptions. At that point, you will be leaving the University Bulletin website.

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