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IE 300

Analysis of Data

University of Illinois Urbana-Champaign 3 credits Industrial Engineering

Course Description

Nature of probabilistic models for observed data; discrete and continuous distribution function models; inferences on universe parameters based on sample values; control charts, acceptance sampling, and measurement theory. Credit is not given towards graduation for both IE 300 and CEE 202; credit is also not given towards graduation for both IE 300 and BIOE 310. Prerequisite: MATH 241.

Code
IE 300
Credits
3
Subject
Industrial Engineering

Programs That Include This Course

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