Welcome to the Mathematics and Computer Science Resources Guide. Here you will find a listing of the Mathematics and Computer Science databases available at DSU and other helpful information resources. Hover over the info icon (i) to find out more about the database and then click on the link to access the specialized databases.
Building support for scholarly practices in mathematics methods
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Building Support for Scholarly Practices in Mathematics Methods is the product of collaborations among over 40 mathematics teacher educators (MTEs) who teach mathematics methods courses for prospective PreK‐12 teachers in many different institutional contexts and structures. Each chapter unpacks ways in which MTEs use theoretical perspectives to inform their construction of goals, activities designed to address those goals, facilitation of activities, and ways in which MTEs make sense of experiences prospective teachers have as a result. The book is organized in seven sections that highlight how the theoretical perspective of the instructor impacts scholarly inquiry and practice. The final section provides insight as we look backward to reflect, and forward with excitement, moving with the strength of the variation we found in our stories and the feeling of solidarity that results in our understandings of purposes for and insight into teaching mathematics methods. This book can serve as a resource for MTEs as they discuss and construct scholarly practices and as they undertake scholarly inquiry as a means to systematically examine their practice.
Millions, Billions, Zillions
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An essential guide to recognizing bogus numbers and misleading dataNumbers are often intimidating, confusing, and even deliberately deceptive--especially when they are really big. The media loves to report on millions, billions, and trillions, but frequently makes basic mistakes or presents such numbers in misleading ways. And misunderstanding numbers can have serious consequences, since they can deceive us in many of our most important decisions, including how to vote, what to buy, and whether to make a financial investment. In this short, accessible, enlightening, and entertaining book, leading computer scientist Brian Kernighan teaches anyone--even diehard math-phobes--how to demystify the numbers that assault us every day.With examples drawn from a rich variety of sources, including journalism, advertising, and politics, Kernighan demonstrates how numbers can mislead and misrepresent. In chapters covering big numbers, units, dimensions, and more, he lays bare everything from deceptive graphs to speciously precise numbers. And he shows how anyone--using a few basic ideas and lots of shortcuts--can easily learn to recognize common mistakes, determine whether numbers are credible, and make their own sensible estimates when needed.Giving you the simple tools you need to avoid being fooled by dubious numbers, Millions, Billions, Zillions is an essential survival guide for a world drowning in big--and often bad--data.
Numbers Don't Lie
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Numbers Don't Lie gives readers a multilayered understanding of basketball analytics on its own terms, describes the historical and contemporary conditions in basketball culture, science, and society that have facilitated the rise of basketball analytics, and shows how the impact of basketball analytics varies from the standpoint of various perspectives that its practitioners and advocates tend to ignore or to discount.
Principles of Computer Science
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This book introduces the fundamentals of computer science using easy-to-understand language for a solid start and deeper understanding and appreciation of this complex subject. It covers related fields of study to illustrate the connections between the various branches of computer science including computer engineering, software engineering, biotechnology, security, robotics, gaming, and programming languages.
T-Minus AI
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Recognized national AI expert, and the US Air Force's first Chairperson for Artificial Intelligence, Michael Kanaan weaves an intriguing new spin on our history of innovation and technology to masterfully explain what each of us should know about modern computing, AI, and machine learning.
Find books on Mathematics and Computer Science:
Q Science (General)
QA Mathematics (including Computer science)