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ISE 537 Statistical Models for Systems Analytics in Industrial Engineering
滨厂贰听537听听Statistical Models for Systems Analytics in Industrial Engineering听听(3 credit hours)听听
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.
Prerequisite: 厂罢听370: "Probability and Statistics for Engineers" or equivalent
Typically offered in Spring only