SPECIAL TOPICS IN ENGINEERING ANALYTICS AND OPERATIONS RESEARCH

ISYE 521

Principles, algorithms, and industrial engineering applications of machine learning. Predictive analytics, with a focus on combining data and models to improve decision-making. Methods include: statistics, linear regression, logistic regression, regularization, over-fitting, clustering, classification and regression trees, boosting, bagging, deep learning, and neural networks. Applications areas include: healthcare, transportation, and the public sector.

ISYE 412

Provides an understanding of the fundamentals of using data analytics to make data-driven decisions. Emphasizes applying techniques to industrial engineering problems. Focuses on formulating and solving real industrial problems with the appropriate modeling strategies and analytics principles for better decision making.

ISYE 823

Subjects vary.

ISYE 601

In various areas. Sample topics: "Simulation" and "Systems Design".

ISYE 606

Various special topics in healthcare systems engineering, such as human factors in healthcare settings, operations research applied to healthcare, etc.