Open Educational Resources

Educational resources for teaching and learning in STEM disciplines; most resources are OER, but not all, so check the full record of the resource

Small collection of computer science textbooks

Books covering engineering, science, technology, and medicine; also six open, peer-reviewed journals

This open access book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work.

This book examines artificial neural networks (ANNs) and their applications in various fields. Chapters address ANNs and deep learning techniques for real-world applications in health care, materials processing, energy management, and more.

"Critical Media Literacy and Civic Learning is an interactive, multimodal, multicultural, open access eBook for teaching and learning key topics in United States Government and Civic Life through the lens of media literacy. It features more than 100 learning activities that promote awareness of, and critical thinking about, the role that all types of media -- online and in print -- play in our lives and in our politics."

After a long time of neglect, Artificial Intelligence is once again at the center of most of our political, economic, and socio-cultural debates. Recent advances in the field of Artifical Neural Networks have led to a renaissance of dystopian and utopian speculations on an AI-rendered future. Algorithmic technologies are deployed for identifying potential terrorists through vast surveillance networks, for producing sentencing guidelines and recidivism risk profiles in criminal justice systems, for demographic and psychographic targeting of bodies for advertising or propaganda, and more generally for automating the analysis of language, text, and images. Against this background, the aim of this book is to discuss the heterogenous conditions, implications, and effects of modern AI and Internet technologies in terms of their political dimension: What does it mean to critically investigate efforts of net politics in the age of machine learning algorithms?

This textbook will teach students how to exploit IS in a technology-rich environment. It will emphasize why, no matter what their major, information and communications technologies (ICT) are, and increasingly will be, a critical element in their personal success and the success of their organizations.

This book is written as an introductory text, meant for those with little or no experience with computers or information systems. While sometimes the descriptions can get a bit technical, every effort has been made to convey the information essential to understanding a topic while not getting overly focused in detailed terminology.

The chapters in the book illustrate how machine learning and deep learning algorithms and models are designed, optimized, and deployed.

"This text explains how to use mathematical models and methods to analyze problems that arise in computer science."

"This text provides the developer with an understanding of the various elements of web development by focusing on the concepts and fundamentals through the examples within, providing a foundation that allows easier transition to other languages and a better understanding of how to approach their work."

"This book represents a starting point towards curating and centering marginal voices and non-dominant epistemic stances in open education. It includes the work of 43 diverse authors whose perspectives challenge the dominant hegemony."

" This book will help you learn how to build an educational website that is accessible, visually appealing, easy-to-navigate, easy-to-scan, and increases learning of the site content. The book features five chapters that cover the fundamental skills and knowledge you need for developing a website that educates, inspires, motivates, and/or empowers readers. "

“What Was Artificial Intelligence?” is a message in a bottle, addressed to Musk, Bezos, and the latest generation of AI myth-makers.

Artificial Intelligence (AI) research has expanded quickly in recent years due to the increase in data and resources, and companies’ engagement in
proposing many challenging applications. However, there is a lack of women working and conducting research in this field, as in other technological disciplines. This male bias influences the way that intelligent systems are conceived,
designed, and developed