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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 433 Regression Analysis and Design of Experiments (3) Theory and Application of Regression Analysis and Design of Experiments to build models and optimize process and product parameters.

I E 433 Regression Analysis and Design of Experiments (3)

Regression Analysis and Design of Experiments is an elective course for the baccalaureate students in the Department of Industrial and Manufacturing Engineering. It will be offered in the spring semester. It exposes students to the two important statistical tools which are regression analysis and design of experiments. The specific topics include simple and multiple regression analysis, 2k full and fractional designs and analysis and Taguchi's orthogona arrays.

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

Properties of point estimators, sampling distributions, testing of hypotheses, and introduction to linear regression and design of experiments.


General Education: None
Diversity: None
Bachelor of Arts: None
Effective: Summer 2005
Prerequisite: I E 323

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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