Blender(TM) is a free Open Source 3D Computer Modeling and Animation Suite incorporating Character Rigging, Particles, Real World Physics Simulation, Sculpting, Video Editing with Motion Tracking and 2D Animation within the 3D Environment. Blender is FREE to download and use by anyone for anything. The Complete Guide to Blender Graphics: Computer Modeling and Animation, Seventh Edition is a unified manual describing the operation of the program with reference to the Graphical User Interface for Blender Version 3.0.0, including nearly 100 pages of completely new content. The book introduces the program's Graphical User Interface and shows how to implement tools for modeling and animating characters and created scenes with the application of color, texture and special lighting effects. Blender 2D Animation: The Complete Guide to the Grease Pencil describes how to access the Grease Pencil component in Blender and create 2D Animation within the Blender 3D environment. It is assumed that the reader has no previous knowledge of the Blender program and treats 2D Animation using the Grease Pencil as a standalone application. Grease Pencil is a component of the 3D modeling and animation program, Blender. Blender is a free open-source 3D Computer Graphics software toolset used for creating animated films, visual effects, art, 3D printed models, motion graphics, interactive 3D applications, virtual reality and computer games.

Discusses all the major tools and techniques for Decision Support System supported by examples Techniques are explained considering their deterministic and stochastic aspects Covers network tools including GERT and Q-GERT Explains application of both probability and fuzzy orientation in the pertinent techniques Includes a number of relevant case studies along with a dedicated chapter on software

Gain a thorough understanding of today's sometimes daunting, ever-changing world of technology as you learn how to apply the latest technology to your academic, professional and personal life with TECHNOLOGY FOR SUCCESS: COMPUTER CONCEPTS. Written by a team of best-selling technology authors and based on extensive research and feedback from students like you, this edition breaks each topic into brief, inviting lessons that address the "what, why and how" behind digital advancements to ensure deep understanding and application to today's real world. Optional online MindTap and SAM (Skills Assessment Manager) learning tools offer hands-on and step-by-step training, videos that cover the more difficult concepts and simulations that challenge you to solve problems in the actual world. You leave this course able to read the latest technology news and understand its impact on your daily life, the economy and society.

This book argues that the Internet revolution should exert a far more significant influence on economic thinking and on the perception of law. The authors acknowledge that the economic analysis of law provides a potentially powerful framework for evaluating regulatory approaches to the Internet. However, they question the capacity of traditional law and economics models to define the scope of legal intervention, both in cyberspace and in other more traditional markets which have also been influenced by the recent technological revolution. The book examines the conventional application of law and economics, and contends that the new reality of cyberspace transforms the basic theoretical tenets of this approach and requires fresh conceptual thinking. It challenges fundamental concepts such as the notion of work as linked to the workplace, the notion of community as linked to geographical space, the sources of law and their traditional connection with the state, the belief that proxies and representatives are indispensable for collective action and public decision-making processes, and the role of technology and its relationship with the law. It covers the analysis of both economic and non-economic markets, and includes a thorough examination of legislation, case law and the academic literature relating to cyberspace. The authors conclude that there is pressing need for re-evaluating the analytical tools used to study the information environment, and propose an innovative approach for the role of technology within the law and economics framework. This book represents a groundbreaking attempt to critically analyze the suitability of traditional law and economics for the new digital environment. Scholars and students working in the field of law and economics, and lawyers interested in technology, intellectual property, cyberlaw and governance will find this a stimulating and thought-provoking volume.

This up-to-date Mike Meyers exam guide delivers complete coverage of every topic on the N10-008 version of the CompTIA Network+ Certification exam Take the latest version of the CompTIA Network+ Certification exam with complete confidence using the hands-on information contained in this fully updated self-study system. You will get clear instruction and real-world examples from training expert and bestselling author Mike Meyers along with hundreds of accurate practice questions. CompTIA Network+ Certification All-in-One Exam Guide, Eighth Edition (Exam N10-008) features a sample of interactive hands-on labs and simulations and video training from Mike Meyers. A valuable pre-assessment test enables you to gauge your familiarity with the test's objectives and tailor an effective course for study. Fulfilling the promise of the All-in-One series, this comprehensive reference serves both as a study tool and a valuable on-the-job reference that will serve you well beyond the exam. * 100% coverage of every objective for the CompTIA Network+ Certification exam * Written by CompTIA training and certification guru Mike Meyers * Online content includes 100 practice questions in the Total Tester exam engine, 22 interactive labs and simulations, more than an hour of training videos selected from Mike's full video training course, and a collection of Mike's favorite freeware and shareware utilities

This book identifies and discusses critical issues of ICT innovation at both the macroeconomic and organisational levels, bringing together two hitherto independent fields of study: economics and information systems. The book takes stock of these two fields, highlighting their complementarity in contemporary issues such as business competitiveness and e-commerce, organisational change and industrial restructuring, information systems implementation and technology infrastructure building. The contributions cover a broad range of issues, from analysing policy approaches for fostering ICT innovation at a regional level, to examining the way in which ICT-based information systems and organisational practice are simultaneously shaped. The book elaborates an understanding of innovation as shaped largely in context, rather than 'diffused' from the place of its conception into the place of its implementation. The theoretical perspectives offered by the authors include institutional economics, evolutionary economics, social constructivism, and structuration theory. Collectively, the chapters of this book present ICT innovation as a dynamic process involving multiple actors in multiple locations, codified and tacit knowledge, and instrumental and situated behaviour. This pathbreaking book will be of enormous interest to students, researchers and academics specialising in economics, information systems and ICT innovation, as well as policy and management consultants involved in information systems and development.

This is a timely, self-contained introduction to the rapidly expanding field of quantum information and computation that avoids detailed mathematical proofs wherever possible. The author uses a mixed exposition between a popular and technical approach, connecting the standard results of the field with more recent developments.
A complete but not highly technical textbook for students of physics, mathematics, and computer science.

"My absolute favorite for this kind of interview preparation is Steven Skiena's The Algorithm Design Manual. More than any other book it helped me understand just how astonishingly commonplace ... graph problems are -- they should be part of every working programmer's toolkit. The book also covers basic data structures and sorting algorithms, which is a nice bonus. ... every 1 - pager has a simple picture, making it easy to remember. This is a great way to learn how to identify hundreds of problem types." (Steve Yegge, Get that Job at Google) "Steven Skiena's Algorithm Design Manual retains its title as the best and most comprehensive practical algorithm guide to help identify and solve problems. ... Every programmer should read this book, and anyone working in the field should keep it close to hand. ... This is the best investment ... a programmer or aspiring programmer can make." (Harold Thimbleby, Times Higher Education) "It is wonderful to open to a random spot and discover an interesting algorithm. This is the only textbook I felt compelled to bring with me out of my student days.... The color really adds a lot of energy to the new edition of the book!" (Cory Bart, University of Delaware) "The is the most approachable book on algorithms I have." (Megan Squire, Elon University) --- This newly expanded and updated third edition of the best-selling classic continues to take the "mystery" out of designing algorithms, and analyzing their efficiency. It serves as the primary textbook of choice for algorithm design courses and interview self-study, while maintaining its status as the premier practical reference guide to algorithms for programmers, researchers, and students. The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis. The first part, Practical Algorithm Design, provides accessible instruction on methods for designing and analyzing computer algorithms. The second part, the Hitchhiker's Guide to Algorithms, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations, and an extensive bibliography. NEW to the third edition: -- New and expanded coverage of randomized algorithms, hashing, divide and conquer, approximation algorithms, and quantum computing -- Provides full online support for lecturers, including an improved website component with lecture slides and videos -- Full color illustrations and code instantly clarify difficult concepts -- Includes several new "war stories" relating experiences from real-world applications -- Over 100 new problems, including programming-challenge problems from LeetCode and Hackerrank. -- Provides up-to-date links leading to the best implementations available in C, C++, and Java Additional Learning Tools: -- Contains a unique catalog identifying the 75 algorithmic problems that arise most often in practice, leading the reader down the right path to solve them -- Exercises include "job interview problems" from major software companies -- Highlighted "take home lessons" emphasize essential concepts -- The "no theorem-proof" style provides a uniquely accessible and intuitive approach to a challenging subject -- Many algorithms are presented with actual code (written in C) -- Provides comprehensive references to both survey articles and the primary literature Written by a well-known algorithms researcher who received the IEEE Computer Science and Engineering Teaching Award, this substantially enhanced third edition of The Algorithm Design Manual is an essential learning tool for students and professionals needed a solid grounding in algorithms. Professor Skiena is also the author of the popular Springer texts, The Data Science Design Manual and Programming Challenges: The Programming Contest Training Manual.

provides systematic solutions from formal test theory to automated test description methods, automated simulation test environment construction verifies the effectiveness of the theories, technologies and methods

INVITATION TO COMPUTER SCIENCE, 6E, International Edition is a well-respected text that provides an overview of the computer science field. Using a flexible, non-language specific model, INVITATION TO COMPUTER SCIENCE, 6E, International Edition offers a solid foundation for the first course in a Computer Science curriculum. INVITATION TO COMPUTER SCIENCE, 6E, International Edition maintains its bestselling, algorithm-driven approach and includes expanded chapter exercises and practice problems, as well as new boxes dedicated to mobile applications and current issues throughout. Online language modules are available in C++, Java, Python, C#, and Ada, allowing the option of incorporating a programming language to expand concepts from the text. INVITATION TO COMPUTER SCIENCE, 6E, International Edition offers an optional CourseMate with study tools such as flashcards, quizzing, and games. CourseMate Activities speak to and engage students while developing abstract thinking and problem solving skills. Also available with INVITATION TO COMPUTER SCIENCE, 6E, International Edition, an optional Lab Manual containing 20 laboratory projects that map directly to the main text. The Lab Manual and accompanying software provide both visual and hands-on activities, allowing students to experience the fundamentals of computer science.

DISCOVERING COMPUTERS: DIGITAL TECHNOLOGY, DATA, AND DEVICES, 17th edition, teaches you not only the basics of technology, but also how you will use it -- and the responsibilities that go along with being a digital citizen. Focusing on current technology, the content addresses convergence of devices and platforms. Each module integrates practical how-to tips, ethics issues and security topics, while Consider This boxes woven throughout help you sharpen your critical-thinking skills. A variety of end-of-module activities -- checkpoint questions, small group activities and problem-solving exercises -- enable you to put what you learn into practice. MindTap digital learning solution is also available. Using an inviting approach that ensures understanding, DISCOVERING COMPUTERS equips you with the information you need for success at home, school and work.

Learn to analyze and measure risk by exploring the nature of trust and its application to cybersecurity Trust in Computer Systems and the Cloud delivers an insightful and practical new take on what it means to trust in the context of computer and network security and the impact on the emerging field of Confidential Computing. Author Mike Bursell's experience, ranging from Chief Security Architect at Red Hat to CEO at a Confidential Computing start-up grounds the reader in fundamental concepts of trust and related ideas before discussing the more sophisticated applications of these concepts to various areas in computing. The book demonstrates in the importance of understanding and quantifying risk and draws on the social and computer sciences to explain hardware and software security, complex systems, and open source communities. It takes a detailed look at the impact of Confidential Computing on security, trust and risk and also describes the emerging concept of trust domains, which provide an alternative to standard layered security. Foundational definitions of trust from sociology and other social sciences, how they evolved, and what modern concepts of trust mean to computer professionals A comprehensive examination of the importance of systems, from open-source communities to HSMs, TPMs, and Confidential Computing with TEEs. A thorough exploration of trust domains, including explorations of communities of practice, the centralization of control and policies, and monitoring Perfect for security architects at the CISSP level or higher, Trust in Computer Systems and the Cloud is also an indispensable addition to the libraries of system architects, security system engineers, and master's students in software architecture and security.

For introductory courses in computer concepts, digital literacy, or computer literacy, often including instruction in Microsoft (R) Office. Best-selling Technology in Action Complete uses practical content and hands- on projects to engage students in computing tasks and skills they can apply at work, in class, or at home. Designed for today's technically savvy students, the text introduces difficult concepts at a basic level early on, then expands upon these skills as students build mastery. The 16th edition brings innovative content updates, including new coverage of ethics, artificial intelligence, and managing a digital lifestyle, as well as several new features encouraging critical thinking.

Uses a creative approach to teach the basic skills and concepts of programming quickly. This edition offers excellent insights into problem solving and program design processes. It will also improve comprehension of such computer science considerations as loop invariants and recursion. Includes 60 color line drawings.

- The first comprehensive beginner's guide to the Grease Pencil component of Blender - Facets of operation are explained in short concise chapters with cross references - Written instruction is accompanied by diagram illustrations, in reference to the program's Graphical User Interface

Information Technology for Management provides students with a comprehensive understanding of the latest technological developments in IT and the critical drivers of business performance, growth, and sustainability. Integrating feedback from IT managers and practitioners from top-level organizations worldwide, the International Adaptation of this well-regarded textbook features thoroughly revised content throughout to present students with a realistic, up-to-date view of IT management in the current business environment. This text covers the latest developments in the real world of IT management with the addition of new case studies that are contemporary and more relevant to the global scenario. It offers a flexible, student-friendly presentation of the material through a pedagogy that is designed to help students easily comprehend and retain information. There is new and expanded coverage of Artificial Intelligence, Robotics, Quantum Computing, Blockchain Technology, IP Intelligence, Big Data Analytics, IT Service Management, DevOps, etc. It helps readers learn how IT is leveraged to reshape enterprises, engage and retain customers, optimize systems and processes, manage business relationships and projects, and more.

Every engineer must eventually face their first daunting design project. Scheduling, organization, budgeting, prototyping: all can be overwhelming in the short time given to complete the project. While there are resources available on project management and the design process, many are focused too narrowly on specific topics or areas of engineering. Practical Engineering Design presents a complete overview of the design project and beyond for any engineering discipline, including sections on how to protect intellectual property rights and suggestions for turning the project into a business. An outgrowth of the editors' broad experience teaching the capstone Engineering Design course, Practical Engineering Design reflects the most pressing and often-repeated questions with a set of guidelines for the entire process. The editors present two sample project reports and presentations in the appendix and refer to them throughout the book, using examples and critiques to demonstrate specific suggestions for improving the quality of writing and presentation. Real-world examples demonstrate how to formulate schedules and budgets, and generous references in each chapter offer direction to more in-depth information. Whether for a co-op assignment or your first project on the job, this is the most comprehensive guide available for deciding where to begin, organizing the team, budgeting time and resources, and, most importantly, completing the project successfully.

Provides comprehensive research ideas about Edge-AI technology that can assist doctors in making better data-driven decisions and will provide insights to researchers about healthcare industry, trends and future perspective. Examines how healthcare systems of the future will operate, by augmenting clinical resources and ensuring optimal patient outcomes. Provides insight about how Edge-AI is revolutionizing decision making, early warnings for conditions, and visual inspection in healthcare. Highlight trends, challenges, opportunities and future areas where Healthcare informatics deal with accessing vast data sets of potentially life-saving information.

This book investigates in detail the emerging deep learning (DL) technique in computational physics, assessing its promising potential to substitute conventional numerical solvers for calculating the fields in real-time. After good training, the proposed architecture can resolve both the forward computing and the inverse retrieve problems. Pursuing a holistic perspective, the book includes the following areas. The first chapter discusses the basic DL frameworks. Then, the steady heat conduction problem is solved by the classical U-net in Chapter 2, involving both the passive and active cases. Afterwards, the sophisticated heat flux on a curved surface is reconstructed by the presented Conv-LSTM, exhibiting high accuracy and efficiency. Besides, the electromagnetic parameters of complex medium such as the permittivity and conductivity are retrieved by a cascaded framework in Chapter 4. Additionally, a physics-informed DL structure along with a nonlinear mapping module are employed to obtain the space/temperature/time-related thermal conductivity via the transient temperature in Chapter 5. Finally, in Chapter 6, a series of the latest advanced frameworks and the corresponding physics applications are introduced. As deep learning techniques are experiencing vigorous development in computational physics, more people desire related reading materials. This book is intended for graduate students, professional practitioners, and researchers who are interested in DL for computational physics.

Everyone talks innovation and we can all point to random examples of innovation inside of healthcare information technology, but few repeatable processes exist that make innovation more routine than happenstance. How do you create and sustain a culture of innovation? What are the best practices you can refine and embed as part of your organization’s DNA? What are the potential outcomes for robust healthcare transformation when we get this innovation mystery solved? Through timely essays from leading experts, the first edition showcased the widely adopted healthcare innovation model from HIMSS and how providers could leverage to increase their velocity of digital transformation. Regardless of its promise, innovation has been slow in healthcare. The second edition takes the critical lessons learned from the first edition, expands and refreshes the content as a result of changes in the industry and the world. For example, the pandemic really shifted things. Now providers are more ready and interested to innovate. In the past year alone, significant disruptors (such as access to digital health) have entered the provider space threatening the existence of many hospitals and practices. This has served as a giant wake-up call that healthcare has shifted. And finally, there is more emphasis today than before on the concept of patient and clinician experience. Perhaps hastened by the pandemic, the race is on for innovations that will help address clinician burnout while better engaging patients and families. Loaded with numerous case studies and stories of successful innovation projects, this book helps the reader understand how to leverage innovation to help fulfill the promise of healthcare information technology in enabling superior business and clinical outcomes.

Sind Maschinen bald schlauer als wir? Haben dann die Roboter das Sagen? Um diese Fragen realistisch beantworten zu kAnnen, musst du erst einmal herausfinden, was KA1/4nstliche Intelligenz eigentlich ist. Dieses Buch hilft dir dabei. Kapitel fA1/4r Kapitel beantwortet es folgende Fragen: Wie denken Computer? Wie lernen Computer? Wie spielen Computer? Wie kannst du mit Computern sprechen? KAnnen Computer fA1/4hlen? Wenn du schon ein bisschen programmieren kannst, wird das alles noch spannender durch die Beispielprogramme in Python, die das Buch enthAlt und mit denen du eigene Experimente zu KA1/4nstlicher Intelligenz machen kannst. Ran an die Tasten! Bestens geeignet fA1/4r Kinder und Jugendliche ab 12 Jahre.

How can matter behave both like a particle and a wave? Does a particle exist before we look at it or does the very act of looking bring it into reality? Is there a place where the quantum world ends and our perceivable world begins? Many of science's greatest minds including Thomas Young, Albert Einstein and Richard Feynman have grappled with the questions embodied in the simple yet elusive 'double-slit' experiment in order to understand the fabric of our universe. With his extraordinary gift for making the complicated comprehensible, Anil Ananthaswamy travels around the world and through history, down to the smallest scales of physical reality we have yet fathomed, to reveal the answers.

The book equips students with the end-to-end skills needed to do data science. That means gathering, cleaning, preparing, and sharing data, then using statistical models to analyse data, writing about the results of those models, drawing conclusions from them, and finally, using the cloud to put a model into production, all done in a reproducible way. At the moment, there are a lot of books that teach data science, but most of them assume that you already have the data. This book fills that gap by detailing how to go about gathering datasets, cleaning and preparing them, before analysing them. There are also a lot of books that teach statistical modelling, but few of them teach how to communicate the results of the models and how they help us learn about the world. Very few data science textbooks cover ethics, and most of those that do, have a token ethics chapter. Finally, reproducibility is not often emphasised in data science books. This book is based around a straight-forward workflow conducted in an ethical and reproducible way: gather data, prepare data, analyse data, and communicate those findings. This book will achieve the goals by working through extensive case studies in terms of gathering and preparing data, and integrating ethics throughout. It is specifically designed around teaching how to write about the data and models, so aspects such as writing are explicitly covered. And finally, the use of GitHub and the open-source statistical language R are built in throughout the book. Key Features: Extensive code examples. Ethics integrated throughout. Reproducibility integrated throughout. Focus on data gathering, messy data, and cleaning data. Extensive formative assessment throughout.

* Draws on work across multiple disciplines, from astrobiology and physics to linguistics and the social sciences, making it appealing to graduates from a wide variety of fields. * The first accessible introduction into the important work of philosopher Howard Pattee. * Aims to equip readers with new approaches to simple and complex systems theory to take into any respective discipline.