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Mortensen Library Catalog
Computer Systems: an Embedded Approach by
Call Number: TK7895.E42 M35 2018
Publication Date: 2018-08-15
This comprehensive engineering textbook lays out foundational computer architecture principles and teaches, step by step, how to apply those concepts in cutting-edge embedded applications. The book includes everything you need to know about embedded computing from fundamentals and processor internals to networking and connectivity. Begins by thoroughly explaining constituent hardware components, including processors, storage devices, and accelerators. From there, the book shows how operating systems work and how they provide a layer of services between hardware and software. You will get coverage of foundational networking, pervasive computing concepts, and the Internet of Things (IoT). The book concludes with a look to the future of embedded computing systems.
Great Principles of Computing by
Call Number: QA76 .D3483 2015eb
Publication Date: 2015-01-16
A new framework for understanding computing- a coherent set of principles spanning technologies, domains, algorithms, architectures, and designs. Computing is usually viewed as a technology field that advances at the breakneck speed of Moore's Law. This book takes a different perspective, presenting computing as a science governed by fundamental principles that span all technologies. Computer science is a science of information processes. We need a new language to describe the science, and this book offers the great principles framework as just such a language. This is a book about the whole of computing-its algorithms, architectures, and designs. Denning and Martell divide the great principles of computing into six categories- communication, computation, coordination, recollection, evaluation, and design.
Numbers and Computers by
Call Number: QA241 .K54 2015
Publication Date: 2015-04-29
This is a book about numbers and how those numbers are represented in and operated on by computers. It is crucial that developers understand this area because the numerical operations allowed by computers, and the limitations of those operations, especially in the area of floating point math, affect virtually everything people try to do with computers. This book aims to fill this gap by exploring, in sufficient but not overwhelming detail, just what it is that computers do with numbers. Divided into two parts, the first deals with standard representations of integers and floating point numbers, while the second details several other number representations. Each chapter ends with exercises to review the key points. Topics covered include interval arithmetic, fixed-point numbers, floating point numbers, big integers and rational arithmetic.
Quantum Computing by
Call Number: QA76.889 .L35 2019eb
Publication Date: 2019-01-28
A self-contained, reader-friendly introduction to the principles and applications of quantum computing. Especially valuable to those without a prior knowledge of quantum mechanics, this electrical engineering text presents the concepts and workings of quantum information processing systems in a clear, straightforward, and practical manner. The book is written in a style that helps readers who are not familiar with non-classical information processing more easily grasp the essential concepts; only prior exposure to classical physics, basic digital design, and introductory linear algebra is assumed. Presents each topic in a tutorial style with examples, illustrations, and diagrams to clarify the material. This is a self-contained resource, with all the necessary pre-requisite material included within the text.
Turing's Vision by
Call Number: QA29.T8 A57 2015eb
Publication Date: 2017-04-21
In 1936, when he was just twenty-four years old, Alan Turing wrote a remarkable paper in which he outlined the theory of computation, laying out the ideas that underlie all modern computers. This groundbreaking and powerful theory now forms the basis of computer science. Bernhardt argues that the strength of Turing's theory is its simplicity, and that, explained in a straightforward manner, it is eminently understandable by the nonspecialist. Bernhardt begins with the foundation and systematically builds to the surprising conclusions. He also views Turing's theory in the context of mathematical history, other views of computation (including those of Alonzo Church), Turing's later work, and the birth of the modern computer.
Browse for Books
Want to browse the shelves? Here are some call number areas:
Engineering (General); Civil engineering (General) : TA1 - 2040
Electronic computers; Computer science QA75.5 - 76.95
Computer software: QA76.75 - 76.765
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