Online Course Catalog

IE 529 - Stats of Big Data & Clustering

Spring 2019

Stats of Big Data & ClusteringA68102ONL4 -    Carolyn L Beck

Course Description

This course will cover various foundational topics in data science. Including parametric and non-parametric methods; hypothesis testing; regression; classification; dimension reduction; and regularization. Unsupervised and semi-supervised learning, along with a few case studies.

Credit Hours

4 hours


Undergraduate degree and MATH 415 and IE 300 or equivalent.

Subject Area

  • Industrial and Enterprise Systems Engineering