IE 300 AD1

IE 300 AD1 - Analysis of Data

Spring 2024

TitleRubricSectionCRNTypeHoursTimesDaysLocationInstructor
Analysis of DataIE300AD150981DIS01700 - 1750 M  L440 Digital Computer Laboratory Douglas M King
Eklavya Sharma

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.