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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 330 Engineering Analytics (3) The study and application of Computing, Information Technology and Analytics to Industrial Engineering.

I E 330 Engineering Analytics (3)

Engineering Analytics is a required course for all baccalaureate students in the Industrial Engineering major. It provides students with a quantitative background in descriptive analytics which deals with data mining, predictive analytics which deals with forecasting, and the use of Big Data in analysis. Examples of analytics will be presented in various industries including manufacturing, healthcare, and distribution. The students will learn to work in settings to make data-informed decisions from large data sets.

Students taking this course should be familiar with differential and integral calculus, statistics, and basic computing.

 


General Education: None
Diversity: None
Bachelor of Arts: None
Effective: Spring 2014
Prerequisite: I E 322 andCMPSC 200, CMPSC 201 orCMPSC 202

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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