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Technology & Operations Management (TOM)

Library Resources for TOM Students

Welcome to Your University Library!

Featured Books

AI-Driven Intelligent Models for Business Excellence

Covering topics such as business analysis, deep learning, machine learning, and analytical methods, this reference work is ideal for managers, business owners, computer scientists, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.

Data Science: The Hard Parts

Techniques and best practices using data science to create value, deliver compelling narratives, and build a business case using economics principles.

Fundamentals of Machine Learning

A brief introduction exploring machine learning in a range of disciplines and its broader impact on our society.

Recommended Databases

Need a book or article we don't have?

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Cite Your Sources!

La Geode, by Samyra Serin
Photo by S. Serin (2008)

When creating your project, remember to cite everything you did not write / create / think up on your own, including images / graphs / charts / maps / datasets you borrow from online sources. Below are some tools to help you cite your sources correctly.

To see examples, visit the following websites:

To learn more about the importance of academic integrity, please see