The third edition of Database Principles maintains its engaging writing style and brevity; its unique balance between theory and practice; and its wealth of examples throughout the text. It provides a solid and practical foundation for the design, implementation and management of database systems. The new edition has been updated with all the latest developments and technologies and incorporates a generous number of localised and motivating business vignettes that tie the concepts to real-life situations. The coverage of SQL provides numerous examples and simpler explanations that focus on areas most important for a database career. This edition is suitable for a first course in databases at undergraduate level and will also provide essential material for conversion postgraduate courses. Providing comprehensive and practical coverage of core database concepts, it is an ideal text not only for those studying database management systems in the context of computer science, but also those on courses in the areas of information systems and business information technology.

Based on the Association for Computing Imagery model curriculum guidelines, Foundations of Computer Science gives students a bird’s eye view of Computer Science.

This easy-to-read and highly navigable text will help students quickly learn all the fundamentals of computer science they need on their course and to improve their employability prospects. Updated to cover all the latest technologies and changes to course requirements, this fifth edition features new chapters on the efficiency of algorithms, computer graphics, a complete revision on computer networks and the internet, and data security.

Material on ethical issues, including intellectual property, has also been expanded.

Did you know that AI helped to win the 2023 Rugby World Cup for South Africa? That Africa led the way in small language models? That AI has been supporting farmers in Kenya for the last decade? After reading, you will understand the present and future of AI, and The Hitchhiker’s Guide to AI: The African Edge particularly the distinct advantages presented by and for AI on the African ccontinent.

The book draws on the author’s many years of direct access to global and regional leaders in using AI, from Africa to the Middle East to North America to Europe and Asia, and it provides unique perspectives on generative AI, as well as practical advice for using it.

The Hitchhiker’s Guide to AI is useful for consumers, academics, professionals and anyone in business who wants to get up to speed quickly and practically. It also entertains and inspires anyone who is curious about AI or already engaged in its possibilities.

What can business learn from the use of AI in sports? How can educators embrace AI as a tool rather than a threat? When will AI truly transform health, travel, agriculture, entertainment, shopping and personal services? This book has the answers.

Artificial intelligence (AI) is upending life, work, and play as we know it … and it’s only just getting started. The rise of AI is a milestone on par with the discovery of fire, the invention of the wheel, and the creation of the internet. In short, AI is going to change everything. For some, that’s an exciting prospect. For others, it’s terrifying. However you feel about AI, there’s no escaping it, whether you’re in a global metropolis or a farmer in rural KwaZulu-Natal.

Dr Mark Nasila has been watching AI’s ascent for over a decade, studying its effects on everything from agriculture and aviation to healthcare, education, entertainment, crime prevention, energy management, policy creation, finance, and anything in between, and applying them to his role at one of South Africa’s most successful financial institutions, First National Bank, a division of FirstRand Group.

African Artificial Intelligence is a comprehensive and fascinating journey, tracing the rise of AI and its evolution into the emerging technology underpinning all others – from connected devices and smart chatbots to the metaverse. Mark combines unexpected use cases and tales of cutting-edge innovation with a unique and potent argument: harnessing AI to solve Africa’s problems requires embracing it from an African perspective.

African nations can’t afford to simply import AI solutions from afar. Instead, Mark contends, they need to rework, remix, and refine AI so it’s able to meet uniquely African challenges in uniquely African ways, and to take advantage of the once-in-a-generation opportunity AI represents for every industry, sector, and person, everywhere.

The renowned social scientist, professor, and bestselling author of Predictably Irrational delivers his most urgent and compelling book: an eye-opening exploration of the human side of the misinformation crisis, examining what drives otherwise rational people to adopt deeply irrational beliefs.

Misinformation affects us daily, from social media to politics and even personal relationships. Policing social media alone cannot solve the complex problem shaped by partisan politics and subjective interpretations of truth.

In Misbelief social scientist Dan Ariely explores the behaviour of 'misbelief' that leads people to distrust accepted truths and embrace conspiracy theories. Misinformation taps into something innate in all of us, regardless of political affiliation. By understanding this psychology, we can mitigate its effects. Grounded in research and Ariely's personal experience as a target of disinformation, the book analyses the psychological drivers behind adopting irrational beliefs. Ariely reveals the emotional, cognitive, personality, and social elements that drive people towards false information and mistrust.

Despite advanced AI generating convincing fake news, Ariely offers hope. Awareness of the forces fuelling misbelief makes individuals and society more resilient. Combating misbelief requires empathy, not conflict. Recognising misbelief as a human problem allows us to be part of the solution.

In a world captivated yet bewildered by artificial intelligence, spiritual icon Deepak Chopra explores AI's untapped potential to unlock the mystery of consciousness, positioning AI not as a threat, but as a powerful catalyst for personal and spiritual growth.

Digital Dharma shows how the most popular, freely available chatbots can serve as guides through every level of human potential – survival and safety, emotional connection, self-worth, abundance, creativity, wisdom and the infinite possibilities of cosmic consciousness.

Featuring personal assessments and practical exercises, Deepak Chopra invites you to explore a relationship with AI not merely as a technological tool, but as a partner in shaping a future where human potential solves pressing global issues and empowers individual growth.

This text strikes a good balance between rigor and an intuitive approach to computer theory. Covers all the topics needed by computer scientists with a sometimes humorous approach that reviewers found "refreshing". It is easy to read and the coverage of mathematics is fairly simple so readers do not have to worry about proving theorems.

Teach students to maximize their use of mobile devices, make the most of online tools for collaboration and communication, and fully utilize today’s Internet capabilities with the latest edition of Discovering Computers 2018.

Introductory computing students see how technology skills assist in employment and advancing their careers. This edition highlights today’s most current technology trends and developments. Timely coverage now emphasizes web development, how to create a strong web presence, and take full advantage of latest Windows 10. The authors provide helpful suggestions for hands-on exercises, small group activities, and discussion topics that allow students to apply and demonstrate their understanding of each module. Self-assessments open each module and enable learners to focus their study and learn more in less time.

Discovering Computers 2018 presents the key content that students need for success, using an inviting approach that ensures understanding.

Providing an end-to-end view of how modern web applications are built, Dynamic Web Application Development takes a cohesive approach to building a software architecture from core components. It tells a development story by taking you right through from analysis and design, learning the core technologies, and tying them together using standard tools patterns and frameworks without straying into detail or trying to cover too many alternatives. Using PHP scripting and the MySQL database management system, this is a contemporary and well targeted coverage of important areas of web application development including Ajax, , adaptive markup, web application frameworks, standards and conformance, accessibility and security issues. It shows you how to build functionality into a website using a variety of technologies. These will work as a basic framework from which you will be able to explore more challenging developments such as porting applications to mobile devices and including more Web 2.0 features. An ideal text for web programming courses, this book will help you whether you are a student or need to reskill and want a dependable and accessible self-study package.

The ever-increasing dependence of our lives and livelihoods on the correct functioning of computer software means that logic and program correctness are core elements of all good computer science degrees. This book presents both these topics in one self-contained text.

The focus of the book is on "correct-by-construction" program design -- the discipline of calculating programs from their specifications. Modern, calculational logic is introduced in combination with key program construction principles, such as the assignment axiom, loop invariants and bound functions. This material is intertwined with motivational discussion, programming examples and challenging problem-solving exercises, bringing the book alive for its intended audience, undergraduates in computer science and mathematics, as well as professional programmers wishing to further develop their programming skills.

The book covers the elements of logic and program correctness that form the foundations of further study --- the logical connectives and their algebraic properties, induction, quantifiers and program construction rules. Substantial examples of program construction are included. Many exercises are provided, all with detailed solutions.

Equip your students with a management-focused overview of information security as well as the tools to effectively administer it with Whitman/Mattord's MANAGEMENT OF INFORMATION SECURITY, Sixth Edition.

More than ever, we need to prepare information security management students to build and staff security programs capable of securing systems and networks to meet the challenges in a world where continuously emerging threats, ever-present attacks and the success of criminals illustrate weaknesses in current information technologies. This text offers an exceptional blend of skills and experiences to administer and manage the more secure computing environments that organizations need.

Reflecting the latest developments from the field, it includes updated coverage of NIST, ISO and security governance along with emerging concerns like Ransomware, Cloud Computing and the Internet of Things.

Gain a clear understanding of even the most complex, highly theoretical computational theory topics in the approachable presentation found only in the market-leading INTRODUCTION TO THE THEORY OF COMPUTATION, 3E. The number one choice for today's computational theory course, this revision continues the book's well-know, approachable style with timely revisions, additional practice, and more memorable examples in key areas. A new first-of-its-kind theoretical treatment of deterministic context-free languages is ideal for a better understanding of parsing and LR(k) grammars. You gain a solid understanding of the fundamental mathematical properties of computer hardware, software, and applications with a blend of practical and philosophical coverage and mathematical treatments, including advanced theorems and proofs. INTRODUCTION TO THE THEORY OF COMPUTATION, 3E's comprehensive coverage makes this a valuable reference for your continued studies in theoretical computing.

Learn to maximize the use of mobile devices, make the most of online tools for collaboration and communication, and fully utilize the web and cloud with the latest edition of DISCOVERING COMPUTERS 2018. Clearly see how technology skills can assist you both in gaining employment and advancing your career. This edition highlights web development, how to create a strong web presence, and take full advantage of the latest Windows 10. To keep your instruction as current as possible, online coverage of contemporary technology developments builds on the book's timely discussions. The authors provide helpful suggestions within a proven learning structure and emphasize meaningful practice to reinforce your skills. Self-assessments open each module and enable you to focus your study and learn more in less time. DISCOVERING COMPUTERS presents the key content you need to succeed, using an approach that ensures understanding.

Artificial Intelligence for Neurological Disorders provides a comprehensive resource of state-of-the-art approaches for AI, big data analytics and machine learning-based neurological research. The book discusses many machine learning techniques to detect neurological diseases at the cellular level, as well as other applications such as image segmentation, classification and image indexing, neural networks and image processing methods. Chapters include AI techniques for the early detection of neurological disease and deep learning applications using brain imaging methods like EEG, MEG, fMRI, fNIRS and PET for seizure prediction or neuromuscular rehabilitation. The goal of this book is to provide readers with broad coverage of these methods to encourage an even wider adoption of AI, Machine Learning and Big Data Analytics for problem-solving and stimulating neurological research and therapy advances.

Classification Made Relevant: How Scientists Build and Use Classifications and Ontologies explains how classifications and ontologies are designed and used to analyze scientific information. The book presents the fundamentals of classification, leading up to a description of how computer scientists use object-oriented programming languages to model classifications and ontologies. Numerous examples are chosen from the Classification of Life, the Periodic Table of the Elements, and the symmetry relationships contained within the Classification Theorem of Finite Simple Groups. When these three classifications are tied together, they provide a relational hierarchy connecting all of the natural sciences. The book's chapters introduce and describe general concepts that can be understood by any intelligent reader. With each new concept, they follow practical examples selected from various scientific disciplines. In these cases, technical points and specialized vocabulary are linked to glossary items where the item is clarified and expanded.

Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Volume 122 delves into arti?cial Intelligence and the growth it has seen with the advent of Deep Neural Networks (DNNs) and Machine Learning. Updates in this release include chapters on Hardware accelerator systems for artificial intelligence and machine learning, Introduction to Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Deep Learning with GPUs, Edge Computing Optimization of Deep Learning Models for Specialized Tensor Processing Architectures, Architecture of NPU for DNN, Hardware Architecture for Convolutional Neural Network for Image Processing, FPGA based Neural Network Accelerators, and much more.

Advances in Imaging and Electron Physics, Volume 208, merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. The series features extended articles on the physics of electron devices (especially semiconductor devices), particle optics at high and low energies, microlithography, image science, digital image processing, electromagnetic wave propagation, electron microscopy and the computing methods used in all these domains.

Advances in Imaging and Electron Physics, Volume 207, merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. The series features extended articles on the physics of electron devices (especially semiconductor devices), particle optics at high and low energies, microlithography, image science, digital image processing, electromagnetic wave propagation, electron microscopy and the computing methods used in all these domains.

Advances in Imaging and Electron Physics, Volume 205 is the latest release in this series that merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. The series features extended articles on the physics of electron devices (especially semiconductor devices), particle optics at high and low energies, microlithography, image science, and digital image processing, electromagnetic wave propagation, electron microscopy, and the computing methods used in all these domains.

Safety of Web Applications: Risks, Encryption and Handling Vulnerabilities with PHP explores many areas that can help computer science students and developers integrate security into their applications. The Internet is not secure, but it's very friendly as a tool for storing and manipulating data. Customer confidence in Internet software is based on it's ability to prevent damage and attacks, but secure software is complicated, depending on several factors, including good risk estimation, good code architecture, cyphering, web server configuration, coding to prevent the most common attacks, and identification and rights allocation.

Temporal Data Mining via Unsupervised Ensemble Learning provides the principle knowledge of temporal data mining in association with unsupervised ensemble learning and the fundamental problems of temporal data clustering from different perspectives. By providing three proposed ensemble approaches of temporal data clustering, this book presents a practical focus of fundamental knowledge and techniques, along with a rich blend of theory and practice. Furthermore, the book includes illustrations of the proposed approaches based on data and simulation experiments to demonstrate all methodologies, and is a guide to the proper usage of these methods. As there is nothing universal that can solve all problems, it is important to understand the characteristics of both clustering algorithms and the target temporal data so the correct approach can be selected for a given clustering problem. Scientists, researchers, and data analysts working with machine learning and data mining will benefit from this innovative book, as will undergraduate and graduate students following courses in computer science, engineering, and statistics.

Big Data and Smart Service Systems presents the theories and applications regarding Big Data and smart service systems, data acquisition, smart cities, business decision-making support, and smart service design. The rapid development of computer and Internet technologies has led the world to the era of Big Data. Big Data technologies are widely used, which has brought unprecedented impacts on traditional industries and lifestyle. More and more governments, business sectors, and institutions begin to realize data is becoming the most valuable asset and its analysis is becoming the core competitiveness.

Creativity in Computing and DataFlow Supercomputing, the latest release in the Advances in Computers series published since 1960, presents detailed coverage of innovations in computer hardware, software, theory, design, and applications. In addition, it provides contributors with a medium in which they can explore topics in greater depth and breadth than journal articles typically allow. As a result, many articles have become standard references that continue to be of significant, lasting value in this rapidly expanding field.

Inside Computer Music is an investigation of how new technological developments have influenced the creative possibilities of composers of computer music in the last 50 years. This book combines detailed research into the development of computer music techniques with nine case studies that analyze key works in the musical and technical development of computer music. The book's companion website offers demonstration videos of the techniques used and downloadable software. There, readers can view interviews and test emulations of the software used by the composers for themselves. The software also presents musical analyses of each of the nine case studies to enable readers to engage with the musical structure aurally and interactively.

Adaptive control has been one of the main problems studied in control theory. The subject is well understood, yet it has a very active research frontier. This book focuses on a specific subclass of adaptive control, namely, learning-based adaptive control. As systems evolve during time or are exposed to unstructured environments, it is expected that some of their characteristics may change. This book offers a new perspective about how to deal with these variations. By merging together Model-Free and Model-Based learning algorithms, the author demonstrates, using a number of mechatronic examples, how the learning process can be shortened and optimal control performance can be reached and maintained.