IE 300 - Analysis of Data

Spring 2022

TitleRubricSectionCRNTypeHoursTimesDaysLocationInstructor
Analysis of DataIE300AD150981DIS01700 - 1750 M  L440 Digital Computer Laboratory Vivek Anand Rajopanth
Douglas M King
Analysis of DataIE300AD250983DIS01700 - 1750 T  L440 Digital Computer Laboratory Akash Govind Kuttikad
Douglas M King
Analysis of DataIE300AD350985DIS01700 - 1750 W  L440 Digital Computer Laboratory Vivek Anand Rajopanth
Douglas M King
Analysis of DataIE300AD450987DIS01700 - 1750 R  L440 Digital Computer Laboratory Lang Yin
Douglas M King
Prerna Rathi
Analysis of DataIE300AL134259LEC31530 - 1650 T R  112 Transportation Building Douglas M King
Analysis of DataIE300BD162804DIS01100 - 1150 M  L440 Digital Computer Laboratory Zexing Xu
Chrysafis Vogiatzis
Analysis of DataIE300BD262805DIS01500 - 1550 T  1001 Mechanical Engineering Lab Zexing Xu
Chrysafis Vogiatzis
Analysis of DataIE300BD362806DIS00900 - 0950 W  L440 Digital Computer Laboratory Seyoung Park
Chrysafis Vogiatzis
Analysis of DataIE300BD462807DIS01000 - 1050 R  L440 Digital Computer Laboratory Seyoung Park
Chrysafis Vogiatzis
Analysis of DataIE300BL162803LEC31000 - 1050 M W F  112 Transportation Building Chrysafis Vogiatzis

Documents

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 for both IE 300 and CEE 202. Prerequisite: MATH 241.

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Last updated

1/21/2021