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.
Fall 2025
Instructors
Meeting Patterns
Classes Start:
August 18, 2025
Classes End:
December 2, 2025
Location:
02116 Textiles Complex
Class Days:
M W
Class Start Time:
8:30am
Class End Time:
9:45am
Class Type:
Lecture
Credits:
3.00
Restrictions:
None
