IE 529 - Stats of Big Data & Clustering

Fall 2021

Stats of Big Data & ClusteringIE529A66823LCD41300 - 1350 M W F  218 Ceramics Building Carolyn L Beck
Stats of Big Data & ClusteringIE529O75999OLC4 -    Carolyn L Beck


Official Description

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.