The Architecture of Computer Hardware, Systems Software, and Networking
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The Architecture of Computer Hardware, Systems Software and Networking is designed help students majoring in information technology (IT) and information systems (IS) understand the structure and operation of computers and computer-based devices. Requiring only basic computer skills, this accessible textbook introduces the basic principles of system architecture and explores current technological practices and trends using clear, easy-to-understand language. Throughout the text, numerous relatable examples, subject-specific illustrations, and in-depth case studies reinforce key learning points and show students how important concepts are applied in the real world.
Code: The Hidden Language of Computer Hardware and Software
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From the simple ticking of clocks to the worldwide hum of the internet, Code reveals the essence of the digital revolution. This new expanded edition explores more deeply the bit-by-bit, gate-by-gate construction of the heart of every smart device the central processing unit that combines the simplest of basic operations to perform the most complex of feats.
Computer Architecture and Organization: Fundamentals and Architecture Security
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This book addresses not only how to secure computer components (CPU, Memory, I/O, and network) but also how to secure data and the computer system as a whole. It also incorporates experiences from the authors recent award-winning teaching and research. The book also introduces the latest technologies, such as trusted computing, RISC-V, QEMU, cache security, virtualization, cloud computing, IoT, and quantum computing, as well as other advanced computing topics into the classroom in order to close the gap in workforce development.
Data Analytics: Systems Engineering, Cybersecurity, Project Management
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Data analytics is creeping into the lexicon of our daily language. This book gives the reader a perspective as to the overall data analytics skill set, starting with a primer on statistics, and works toward the application of those methods. The main purpose of this text is to refresh the statistical knowledge necessary to build models for data analytics.
Engineering Intelligent Systems
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As artificial intelligence (AI) and machine learning technology continue to develop and find new applications, advances in this field have generally been focused on the development of isolated software data analysis systems or of control systems for robots and other devices. While most recent research on the topic has focused on adapting and improving algorithms and devices, this book puts forth the innovative idea of transforming the systems in our lives, our societies, and our businesses into intelligent systems. At its heart, this book is about how to combine systems engineering and systems thinking with the newest technologies to design increasingly intelligent systems.
Essentials of Computer Organization and Architecture
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Essentials of Computer Organization and Architecture focuses on the function and design of the various components necessary to process information digitally. This title presents computing systems as a series of layers, taking a bottom–up approach by starting with low-level hardware and progressing to higher-level software. Its focus on real-world examples and practical applications encourages students to develop a “big-picture” understanding of how essential organization and architecture concepts are applied in the computing world.
Exploring Computer Hardware
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This course takes you on a journey through the intricate world of computer hardware, beginning with a solid foundation in the fundamentals of computing. Starting with an overview of computers and microcomputers, you’ll explore the core components that make up these machines, including embedded systems, software, and peripherals. Each chapter is designed to build your understanding of how these elements work together to create the technology we rely on daily.
Hardware Architectures for Deep Learning
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This book discusses innovative ideas in the design, modelling, implementation, and optimization of hardware platforms for neural networks. The book provides an overview of this emerging field, from principles to applications, for researchers, postgraduate students and engineers who work on learning-based services and hardware platforms
INCOSE Systems Engineering Handbook
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The International Council on Systems Engineering (INCOSE) Systems Engineering Handbook describes the state-of-the-good-practice of systems engineering. The result is a comprehensive guide to systems engineering activities across any number of possible projects. From automotive to defense to healthcare to infrastructure, systems engineering practitioners are at the heart of any project built on complex systems.
Modern Computer Architecture and Organization: Learn x86, ARM, and RISC-V Architectures and the Design of Smartphones, PCs, and Cloud Servers
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Are you a software developer, systems designer, or computer architecture student looking for a methodical introduction to digital device architectures, but are overwhelmed by the complexity of modern systems? This step-by-step guide will teach you how modern computer systems work with the help of practical examples and exercises. This edition has been updated to cover the architecture and design principles underlying the important domains of cybersecurity, blockchain and bitcoin mining, and self-driving vehicles.
Parallel Algorithms in Computational Science and Engineering
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This contributed volume highlights two areas of fundamental interest in high-performance computing: core algorithms for important kernels and computationally demanding applications. The first few chapters explore algorithms, numerical techniques, and their parallel formulations for a variety of kernels that arise in applications. The rest of the volume focuses on state-of-the-art applications from diverse domains. Readers will learn how to choose the most suitable parallel algorithms for any given application, ensuring that theory and practicality are clearly connected.
Recent Trends and Advances in Model Based Systems Engineering
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This volume comprises papers from the 18th Conference on Systems Engineering Research (CSER). The theme of this volume, Recent Trends and Advances in Model-Based Systems Engineering, reflects the fact that systems engineering is undergoing a transformation motivated by mission and system complexity and enabled by technological advances such as model-based systems engineering, digital engineering, and the convergence of systems engineering with other disciplines.
System Design Interview Guide For Software Professionals
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This guide covers the basics of system design, including the principles and techniques of distributed systems, and delves into core building blocks such as distributed system theorems, attributes, and the design and implementation of system components. The book offers expert advice and strategies for preparing and acing system design interviews, along with a mind map/cheat sheet summarizing the key takeaways.
Systems Engineering and Artificial Intelligence
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This book provides a broad overview of the benefits from a Systems Engineering design philosophy in architecting complex systems composed of artificial intelligence (AI), machine learning (ML) and humans situated in chaotic environments. The major topics include emergence, verification and validation of systems using AI/ML and human systems integration to develop robust and effective human-machine teams' here the machines may have varying degrees of autonomy due to the sophistication of their embedded AI/ML. The chapters not only describe what has been learned, but also raise questions that must be answered to further advance the general Science of Autonomy.
Systems Engineering Demystified, 2nd Edition
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This book is for aspiring systems engineers, engineering managers, or anyone looking to apply systems engineering practices to their systems and projects. While a well-structured, model-based approach to systems engineering is an essential skill for engineers of all disciplines, many companies are finding that new graduates have little understanding of MBSE. This book helps you acquire this skill with the help of a simple and practical approach to developing successful systems. No prior knowledge of systems engineering or modeling is required to get started with this book.
Systems Engineering for the Digital Age
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Systems Engineering in the Digital Age: Practitioner Perspectives covers methods and tools that are made possible by the latest developments in computational modeling, descriptive modeling languages, and semantic web technologies and describes how they can be integrated into existing systems engineering practice, how best to manage their use, and how to help train and educate systems engineers of today and the future.
Systems Engineering in the Fourth Industrial Revolution
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This book addresses the changes in systems engineering (SE) prompted by the current industrial environment. In addition, the book addresses the issues in a system in which the system involves data in its operation, contrasting with earlier approaches in which data and algorithm implementation were less involved in the function of the system. These issues are a significant contrast with typical applications of SE to date, in which systems have been conceived as relatively static and long time lines have been acceptable
Systems Engineering Principles and Practice
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Systems Engineering Principles and Practice continues to be a national standard textbook for the study of traditional systems engineering for advanced undergraduate and graduate students. It addresses the need for an introductory overview, first-text for the development and acquisition of complex technical systems. The material is organized in a way that teaches the reader how to think like a systems engineer and carry out best practices in the field.