IE 529

Fall 2017 All Classes

All Classes

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 fall 2017
CRN Type Section Time Day Location Instructor Section Details
66823
Lecture-Discussion
A
1:00PM -1:50PM
MWF
Engineering Hall
Beck, C
Part of Term:
1
Date Range:
08/28/17-12/13/17
Section Info:
Students should have credit for IE 300 or equivalent course.
Restriction(s):
Restricted to students in the Industrial&Enterprise Sys Eng department.
Restricted to Graduate - Urbana-Champaign.
69486
Online
ONL
ARRANGED
n.a.
n.a.
Beck, C
Part of Term:
1
Date Range:
08/28/17-12/13/17
Special Approval:
Approval Req - See Class Sched
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.
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