IE 529

Spring 2026 All Classes

All Classes

Stats of Big Data & Clustering

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Credit: 4 hours.

Covers various foundational topics in data science. Parametric and non-parametric methods. Hypothesis testing; Regression; Classification; Dimension reduction; and Regularization. Unsupervised and semi-supervised learning, along with a few case studies.

Prerequisite: MATH 416 and IE 300 or equivalent. All ISE graduate students and students enrolled in the Master of Science in Advanced Analytics (MSAA) are eligible to take the course.

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IE 529 class schedule data for spring 2026
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	68102	Online	A	ARRANGED	n.a.	n.a.	Beck, C	Part of Term: 1 Date Range: 01/20/26-05/06/26 Credit: 4 hours Restriction(s): Restricted to MS: Civil Engr - Online - UIUC, MS:Industrial Engr Online-UIUC, MS:Mechanical Engineerng -UIUC, MS:Env Engr CivilEngr ONL-UIUC, NDEG:Engineering GR ONL - UIUC, MS: Aerospace Engr-Online-UIUC, MENG:Mech Engineering Onl-UIUC, MENG:Elec & Comp Eng ONL -UIUC, MENG:Engr:Energy Sys Onl-UIUC, MENG:Engr:AeroSys Online- UIUC, MENG:ENGR:Digital Ag ONL- UIUC, or MENG:Engr:ChemEngLead ONL-UIUC.
	75698	Lecture-Discussion	B	3:00PM -4:20PM	TR	403A Engineering Hall	Beck, C	Part of Term: 1 Date Range: 01/20/26-05/06/26 Credit: 4 hours Restriction(s): Restricted to Graduate - Urbana-Champaign.