INFORMATION SENSING AND ANALYSIS FOR MANUFACTURING PROCESSES

ISYE 415

Introduction to the technologies, processes and systems of modern discrete part manufacturing. Emphasis on development of an understanding of the behavior of integrated systems.

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.

ME 529

Introduction to smart manufacturing. Understand how a company can connect its operational technology systems (e.g., machine tools) to its information technology systems to improve operational efficiency. Covers terminology, sensors and data, industrial computing platforms, data workflow and analysis, cyber-security, human factors, sequential logic control, and case studies of their application in smart manufacturing. Provides the basis for making informed decisions about how manufacturing processes and systems can be designed to be more adaptive (flexible) by automating, collecting the right data, sharing that data, implementing control systems and understanding the impact on humans and organizational systems.

ISYE/ME 641

Covers a broad range of techniques and tools relevant to the design, analysis, development, implementation, operation and control of modern manufacturing systems. Case studies assignments using industry data will be used to elaborate the practical applications of the theoretical concepts.

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.