ISE 537
Statistical Models for Systems Analytics in Industrial Engineering
Section: 601

Course Description

In this course, graduate students will learn basic data science methodologies. Examples of the methodologies include linear regression, generalized linear models, regularization and variable selection, and dimensionality reduction. In addition, students will also learn how to use these methods to solve real-world Industrial Engineering-related problems by analyzing industrial datasets and projects.

DE Fee

Engineering Online GRAD

DE Program

MS E

SPRG 2022

Instructors

Classes Start:
January 10, 2022
Classes End:
April 25, 2022
Distance Education:
Yes
Class Type:
Lecture
Credits:
3.00
Delivery Method:
Internet
Restrictions:
Enrollment for this course is through the Engineering Online Registration System. Go to http://go.ncsu.edu/eol_registration

Tools