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IE 300 EE - Analysis of Data

Last offered Summer 2024

Official 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. Course Information: 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.
TitleSectionCRNTypeHoursTimesDaysLocationInstructor
Analysis of DataEE30870LCD31300 - 1450 M W F    Aditya Suresh Gopalan