Principles of Computer Hardware

A comprehensive guide to the AP Computer Science Principles Exam, with detailed content review and 3 full-length practice tests.AP Computer Science Principles Prep, 2023 gives students everything they need for this exam, including thorough subject reviews of all relevant topics, techniques to help them strategically prepare, and plenty of drills and practice questions to hone their skills. This is a brand new book for an exam that is growing in popularity. More than 96,000 students took this test in 2019.

A textbook that uses a hands-on approach to teach principles of programming languages, with Java as the implementation language.This introductory textbook teaches the principles of programming languages by using an experiential learning style, in which students learn about language features by realizing those features in a pedagogical compiler. Students use Java―the most commonly used programming language in the first two years of the computer science curriculum―as the implementation language throughout. The book also discusses a range of emerging topics in programming languages missing from existing textbooks, including concurrency, Big Data, and event-driven programming. The goal is to prepare students to design, implement, analyze, and understand both domain-specific and general-purpose programming languages. The book first develops basic concepts in languages, including means of computation using primitive values, means of combination such as variable definition and functions, an

The dramatic increase in computer performance has been extraordinary, but not for all computations: it has key limits and structure. Software architects, developers, and even data scientists need to understand how exploit the fundamental structure of computer performance to harness it for future applications. Ideal for upper level undergraduates, Computer Architecture for Scientists covers four key pillars of computer performance and imparts a high-level basis for reasoning with and understanding these concepts: Small is fast – how size scaling drives performance; Implicit parallelism – how a sequential program can be executed faster with parallelism; Dynamic locality – skirting physical limits, by arranging data in a smaller space; Parallelism – increasing performance with teams of workers. These principles and models provide approachable high-level insights and quantitative modelling without distracting low-level detail. Finally, the text covers the GPU and machine-learning accelerat

This hands-on tutorial is a broad examination of how a modern computer works. Classroom tested for over a decade, it gives readers a firm understanding of how computers do what they do, covering essentials like data storage, logic gates and transistors, data types, the CPU, assembly, and machine code.Introduction to Computer Organization gives programmers a practical understanding of what happens in a computer when you execute your code. You may never have to write x86-64 assembly language or design hardware yourself, but knowing how the hardware and software works will give you greater control and confidence over your coding decisions. We start with high level fundamental concepts like memory organization, binary logic, and data types and then explore how they are implemented at the assembly language level.The goal isn’t to make you an assembly programmer, but to help you comprehend what happens behind the scenes between running your program and seeing “Hello World” displayed on the s

本書序言Principles of Physics 12th edition includes several new areas of research intrigue and new text discussions, including:The first image of a black hole, and the detection of gravitational waves.Several sample problems on autonomous cars, in which computer systems calculate safe driving.Cancer radiation therapy, including the use of Augur-Meitner electrons.New ways to look inside the human body without major invasive surgery, including robotic surgery using single-port incisions and optical fibers and magnetoencephalography (MEG) to monitor a person’s brain.More than 50% of the homework problems are new or revised.本書特色Halliday and Resnick's Principles of Physics, 12th edition, is an industry-leading resource in Physics teaching with expansive, insightful, and accessible treatments of a wide variety of subjects. Focusing on several contemporary areas of research and a wide array of tools that support students' active learning, this book guides students through the process of learning

Finance students and practitioners may ask: can machines learn everything? Could AI help me? Computing students or practitioners may ask: which of my skills could contribute to finance? Where in finance should I pay attention? This book aims to answer these questions. No prior knowledge is expected in AI or finance.Including original research, the book explains the impact of ignoring computation in classical economics; examines the relationship between computing and finance and points out potential misunderstandings between economists and computer scientists; and introduces Directional Change and explains how this can be used.To finance students and practitioners, this book will explain the promise of AI, as well as its limitations. It will cover knowledge representation, modelling, simulation and machine learning, explaining the principles of how they work. To computing students and practitioners, this book will introduce the financial applications in which AI has made an impact. This

A comprehensive introduction to the field of autonomous robotics aimed at upper-level undergraduates and offering additional online resources.Textbooks that provide a broad algorithmic perspective on the mechanics and dynamics of robots almost unfailingly serve students at the graduate level. Introduction to Autonomous Robots offers a much-needed resource for teaching third- and fourth-year undergraduates the computational fundamentals behind the design and control of autonomous robots. The authors use a class-tested and accessible approach to present progressive, step-by-step development concepts, alongside a wide range of real-world examples and fundamental concepts in mechanisms, sensing and actuation, computation, and uncertainty. Throughout, the authors balance the impact of hardware (mechanism, sensor, actuator) and software (algorithms) in teaching robot autonomy. Features:Rigorous and tested in the classroomWritten for engineering and computer science undergraduates with a soph

Design and Manufacturing of Structural Composites provides an overview of the most common manufacturing routes for fiber reinforced composites, including the influence of the manufacturing route on mechanical properties. It discusses the intermediate steps to convert common fiber/matrix combinations into finished products and provides an insight into some of the most common research challenges for each of the chosen manufacturing processes, covering experimental, analytical and numerical analysis. Particular emphasis is placed on the various types of manufacturing routes for fiber reinforced composites, including the influence of the manufacturing route on mechanical properties, automation, additive manufacturing and recyclability, and material properties and design principles. Chapters cover introduction to composite materials, material preforming and conversion, moulding, enabling technologies, computer aided engineering, reduce, reuse and recycling, and much more.

Towards 4D Printing presents the current state of three-dimensional (3D) bioprinting and its recent offspring, 4D bioprinting. These are attractive approaches to tissue engineering because they hold the promise of building bulky tissue constructs with incorporated vasculature. Starting with the discussion of 3D and 4D printing of inanimate objects, the book presents several 3D bioprinting techniques and points out the challenges imposed by living cells on the bioprinting process. It argues that, in order to fine-tune the bioprinter, one needs a quantitative analysis of the conditions experienced by cells during printing. Once the printing is over, the construct evolves according to mechanisms known from developmental biology. These are described in the book along with computer simulations that aim to predict the outcome of 3D bioprinting. In addition, the book provides the latest information on the principles and applications of 4D bioprinting, such as for medical devices and assistive

An introduction to neurorobotics that presents approaches and design principles for developing intelligent autonomous systems grounded in biology and neuroscience.Neurorobotics is an interdisciplinary field that draws on artificial intelligence, cognitive sciences, computer science, engineering, psychology, neuroscience, and robotics. Because the brain is closely coupled to the body and situated in the environment, neurorobots―autonomous systems modeled after some aspect of the brain―offer a powerful tool for studying neural function and may also be a means for developing autonomous systems with intelligence that rivals that of biological organisms. This textbook introduces approaches and design principles for developing intelligent autonomous systems grounded in biology and neuroscience. It is written for anyone interested in learning about this topic and can be used in cognitive robotics courses for students in psychology, cognitive science, and computer science.Neurorobotics covers

Computer scientists often need to learn new programming languages quickly. The best way to prepare for this is to understand the foundational principles that underlie even the most complicated industrial languages. This text for an undergraduate programming languages course distills great languages and their design principles down to easy-to-learn 'bridge' languages implemented by interpreters whose key parts are explained in the text. The book goes deep into the roots of both functional and object-oriented programming, and it shows how types and modules, including generics/polymorphism, contribute to effective programming. The book is not just about programming languages; it is also about programming. Through concepts, examples, and more than 300 practice exercises that exploit the interpreter, students learn not only what programming-language features are but also how to do things with them. Substantial implementation projects include Milner's type inference, both copying and mark-an

Due to the rapid development of gaming technologies in recent years, there has been a surge of interest in the role that digital games can play in foreign and second language learning. Bringing together innovative research from an international team of contributors, this book provides a comprehensive overview of the use of digital games in computer-assisted language learning (CALL).The book firstly lays the theoretical foundations and outlines various rationales for using digital games, incorporating contemporary theories of second language acquisition. It also explores the development and impact of digital games designed specifically for language learning, giving due consideration to design principles, pedagogical requirements and student health. Chapters then draw on case studies from Europe and Japan to analyse in-game interaction, attitudes and participation in both institutional and out-of-classroom settings. Seamlessly combining theory with practical application, this book outlin

An offbeat guide to math from award-winning author and illustrator David Macaulay. David Macaulay's troupe of curious mammoths lead you through the basics of numbers, geometry, measurement, and much more in this unconventional and highly original guide to math. From computer games to bridges, shopping malls to game shows, math is all around you if you look closely enough. In Mammoth Math, not only will you learn the essential principles of math, you'll enjoy learning about them. From start to finish, let the mammoths be your guide as they seek to understand the math! These intrepid demonstrators will go to incredible lengths to educate and entertain, as they wrestle with adding or subtracting large numbers, measuring angles, reading 24-hour time, creating a pie chart, solving equations, and much more. Following on from Mammoth Science is best-selling illustrator David Macaulay, whose How Machines Work won the Royal Society Young People's Book Prize in 2016. Renowned for his ability to