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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 322 Probabilistic Models in Industrial Engineering (3) The study and application of probability theory in the solution of engineering problems.

I E 322 Probabilistic Models in Industrial Engineering (3)

Probabilistic Models in Industrial Engineering is a first 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 probability theory and models and discrete and continuous probability distributions which are necessary for solving real life engineering problems with uncertainty. Reliability modeling, one such problem of interest to the manufacturers and consumers, will be taught in this course. The course will also cover sampling distributions and point and interval estimation of mean, variance and proportion.

Students taking this course should be familiar with elementary algebra, and differential and integral calculus.


General Education: None
Diversity: None
Bachelor of Arts: None
Effective: Fall 2005
Prerequisite: MATH 141

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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