IE 529

Spring 2018 All Classes

All Classes

Stats of Big Data & Clustering

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Credit: 4 hours.

This course will cover 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.

4 graduate hours. No professional credit. Prerequisite: MATH 415 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 2018
	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: 01/16/18-05/02/18 Credit: 4 hours Restriction(s): Restricted to MS: Civil Engr - Online - UIUC, MCS:Computer Sci Online -UIUC, MS:Industrial Engr Online-UIUC, MS:Mechanical Engineerng -UIUC, MS: Aerospace Engr-Online-UIUC, NDEG:Grad Nondegree-CE-UIUC, or MENG:Mech Engineering Onl-UIUC.