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IE 529   Stats of Big Data & Clustering   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.

Engineering, College of

...110 + IE 300 IE 310 , IE 330 , IE...2 hours of MSE 529 or MSE 559...