IE 300

IE 300 - Analysis of Data

Spring 2022

Title	Rubric	Section	CRN	Type	Hours	Times	Days	Location	Instructor
Analysis of Data	IE300	AD1	50981	DIS	0	1700 - 1750	M	L440 Digital Computer Laboratory	Vivek Anand Rajopanth Douglas M King
Analysis of Data	IE300	AD2	50983	DIS	0	1700 - 1750	T	L440 Digital Computer Laboratory	Akash Govind Kuttikad Douglas M King
Analysis of Data	IE300	AD3	50985	DIS	0	1700 - 1750	W	L440 Digital Computer Laboratory	Vivek Anand Rajopanth Douglas M King
Analysis of Data	IE300	AD4	50987	DIS	0	1700 - 1750	R	L440 Digital Computer Laboratory	Lang Yin Douglas M King Prerna Rathi
Analysis of Data	IE300	AL1	34259	LEC	3	1530 - 1650	T R	112 Transportation Building	Douglas M King
Analysis of Data	IE300	BD1	62804	DIS	0	1100 - 1150	M	L440 Digital Computer Laboratory	Zexing Xu Chrysafis Vogiatzis
Analysis of Data	IE300	BD2	62805	DIS	0	1500 - 1550	T	1001 Mechanical Engineering Lab	Zexing Xu Chrysafis Vogiatzis
Analysis of Data	IE300	BD3	62806	DIS	0	0900 - 0950	W	L440 Digital Computer Laboratory	Seyoung Park Chrysafis Vogiatzis
Analysis of Data	IE300	BD4	62807	DIS	0	1000 - 1050	R	L440 Digital Computer Laboratory	Seyoung Park Chrysafis Vogiatzis
Analysis of Data	IE300	BL1	62803	LEC	3	1000 - 1050	M W F	112 Transportation Building	Chrysafis Vogiatzis

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Web Page

https://canvas.illinois.edu/courses/13612

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.

Website

Section AL1 - Compass2g : Instructor Site
Section BL1 - Compass2g

Last updated

1/21/2021