IE 529 A - Stats of Big Data & Clustering
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. Course Information: 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.
Academic Program Restrictions:
MENG:Mech Engineering Onl-UIUC MS: Aerospace Engr-Online-UIUC MS: Civil Engr - Online - UIUC MS:Industrial Engr Online-UIUC MS:Mechanical Engineerng -UIUC NDEG:Grad Nondegree-CE-UIUC MCS:Computer Sci Online -UIUC
Option 1Number of Required Visit(s): 0
Course Level: Graduate
Credit: 4 hr
Phone: (217) 333-1462