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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 323 Statistical Methods in Industrial Engineering (3) The study and application of statistics in the solution of engineering problems.

I E 323 Statistical Methods in Industrial Engineering (3)

Statistical Methods in Industrial Engineering is a second level junior course required for all the baccalaureate students in the Department of Industrial and Manufacturing Engineering. It will be offered in fall and spring semesters. It exposes students to the statistical tools such as estimation, testing of hypotheses, control charts, process capability indexes, gage R & R studies, simple regression and design of experiments, which are necessary for analyzing and solving real life engineering problems using data.

Students taking this course should be familiar with the following topics taught in the first course in probability offered in the department.

Probability concepts, Random variables, Independence, Probability Distributions (both discrete and continuous), Mathematical Expectation, Variation and Binomial and Standard Normal tables.


General Education: None
Diversity: None
Bachelor of Arts: None
Effective: Spring 2006
Prerequisite: I E 322

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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