Data og IT

The aim of this text is to introduce discrete mathematics to beginning students of mathematics or computer science. It does this by bringing some coherency into the seemingly incongruent subjects that compose discrete math, such as logic, set theory, algebra, and combinatorics. It emphasizes their theoretical foundations and illustrates proofs along the way. The book prepares readers for the analysis of algorithms by discussing asymptotic analysis and a discrete calculus for sums. The book also deduces combinatorial methods from the foundations that are laid out. Unlike other texts on this subject, there is a greater emphasis on foundational material that leads to a better understanding. To further assist the reader in grasping and practicing concepts, roughly 690 exercises are provided at various levels of difficulty. Readers are encouraged to study the examples in the text and solve as many of the exercises as possible.The text is intended for freshman or sophomore undergraduate students in mathematics, computer science, or similar majors. The assumed background is precalculus. The chapter dependency chart included is designed to help students, independent readers, and instructors follow a systematic path for learning and teaching the material, with the option to explore material in later chapters.

As the convergence of AI and IoT reshapes industries, this book serves as an essential guide for understanding the technological foundations, security protocols, and wide-ranging applications that make AIoT a transformative force.

This book offers a comprehensive and in-depth exploration of key digital and AI technologies, providing readers with a thorough understanding of the concepts and advancements driving the digital and AI transformation. Readers will gain the foundational knowledge needed to engage and keep abreast with the subject matter effectively. The chapters are organized in a systematic and logical way, starting from foundation (ICT), technologies (digital platforms, digital technologies, AI technology), and applications in industry and in society.The book addresses the critical ethical and societal issues surrounding digital and AI technologies, discusses regulatory frameworks, and explores potential solutions to these challenges. This feature is especially valuable for policymakers and general readers who need to understand the broader implications of technological advancements and make informed decisions accordingly.By including the businesses and issues of the leading platform companies like Apple, Google, Amazon, and Meta, and also by including the case studies of successful digital transformations in various industries like ENGIE, John Deere, POSCO, and Hyundai Motors, the book provides practical insights and actionable strategies. This feature is particularly valuable for professionals and academics who can learn from real-world applications and apply these lessons to their own contexts.Although the content is most relevant to professionals in the technology, business, and industry sectors who are involved in digital and AI transformation initiatives, the book is designed to be accessible to readers at any level, especially to those who want to keep abreast with the advancement of digital and AI technologies.

This book provides a concise yet comprehensive introduction to generative artificial intelligence.The first part explains the foundational technologies and architectures that support the realization of generative models. It covers evolved and deepened elements, word embeddings as a representative example of representation learning, and the Transformer as a network foundation, along with its underlying attention mechanism. Reinforcement learning, which became essential for elevating large-scale language models to language generation models, is also discussed in detail, focusing on essential aspects.The second part deals with language generation. It starts by elucidating language modelsand introduces large-scale language models with broad applications as the foundational architecture of language processing, further discussing language generation models as their evolution. Though not common terminology, in this book, models such as ChatGPT and Llama 2, which are large-scale language models fine-tuned using reinforcement learning, are referred to as generative language models.The third part addresses image generation, discussing variational autoencoders and the remarkable diffusion models. Additionally, it explains Generative Adversarial Networks(GAN). Although GAN poses challenges due to unstable learning, their conceptual framework is widely applicable, especially Wasserstein GAN seems suitable for introducing optimal trans- port distance, which is utilized in various scenarios.This book primarily serves as a companion for researchers or graduate students in machine learning, aiming to help them understand the essence of generative AI and lay the groundwork for advancing their own research.

How does the most important technology of our time - the Internet and WWW - work? The authors explain in simple language and in short the individual technical building blocks and organizational structures, behind the greatest innovation of our time. Only those who know how the technologies that determine our everyday lives can deal with them confidently and in souvereignity. Although digitalization is shaping our daily lives, the technologies behind the Internet and WWW remain obscure to most people. This book provides the key to understanding the huge developments of our time.About The AuthorsChristoph Meinel is the Founding President of the German University of Digital Sciences and previously has been Director and CEO of the Hasso Plattner Institute. He heads the Internet Technologies and Systems department and is author of numerous scientific publications, developer of large digital systems, such as openHPI.de and HPI Schul-Cloud, and a sought-after consultant for politics and business.Maxim Asjoma is Head of Public Partnerships at Hasso Plattner Institute and holds a doctorate in philosophy with a specialization in economics and digitalization. The focus of his work interest is how digital technologies are transforming societies.

Machine learning and artificial intelligence are ubiquitous terms for improving technical processes. However, practical implementation in real-world problems is often difficult and complex.This textbook explains learning methods based on analytical concepts in conjunction with complete programming examples in Python, always referring to real technical application scenarios. It demonstrates the use of physics-informed learning strategies, the incorporation of uncertainty into modeling, and the development of explainable, trustworthy artificial intelligence with the help of specialized databases.Therefore, this textbook is aimed at students of engineering, natural science, medicine, and business administration as well as practitioners from industry (especially data scientists), developers of expert databases, and software developers.

Discusses various solutions for the diagnosis of patients with the help of automated processes using artificial intelligence techniques and technology. Highlights the possibilities of artificial intelligence, machine learning, and deep learning techniques and various tools to correctly diagnose various medical problems.

Discusses issues, solutions, and adaptation techniques for safe autonomous navigating vehicles using advanced technologies. Discusses autonomous navigation as a major issue in robotics and artificial intelligence. It covers a range of topics including, the architecture of autonomous navigation, algorithms for robot positioning etc.

Details the basic concepts of blockchain in relation to healthcare sector and offers solutions for enhanced healthcare services, management, and administration. Deals with the use of blockchain in remotely monitoring patients, in creating medical contracts, in enhancing data transmission security and more.

This book provides basic knowledge of the programming and interfacing of devices with IoT modem and programming. The aim is to explain the basic steps to understand the IoT and its application in agriculture field.

This book presents the advances in AI techniques under the umbrella of Intelligent Computing. The book provides theoretical, algorithmic, simulation, and implementation-based recent research advancements related to the Intelligent Computing.

Reliability and maintenance modeling with optimization is the most fundamental and interdisciplinary research area and it can be applied to every technical and management field. This monograph provides the most recent advances and achievements in reliability and maintenance.

This book is about the role that social media plays in the lives of individuals, societies, economies and polities. It therefore takes in a wide view of the emergent and changing impacts of social media platforms, and social media practices. As a consequence, it examines social media use through various intellectual and scholarly traditions --psychology, sociology, cultural studies, economics, and (national and global) politics ¿ but it is primarily situated in the field of media and communications studies. As such, it frames its analysis of social media impacts using media studies concepts and terminology, and places media texts, forms, industries and agents (producers, audiences and other users) at the centre of each thematic chapter.

This text lays the foundation for understanding the beauty and power of discrete-time models. It covers rich mathematical modeling landscapes, each offering deep insights into the dynamics of biological systems. A harmonious balance is achieved between theoretical principles, mathematical rigor, and practical applications. Illustrative examples, numerical simulations, and empirical case studies are provided to enhance mastery of the subject and facilitate the translation of discrete-time mathematical biology into real-world challenges. Mainly geared to upper undergraduates, the text may also be used in graduate courses focusing on discrete-time modeling. Chapters 1-4 constitute the core of the text. Instructors will find the dependence chart quite useful when designing their particular course. This invaluable resource begins with an exploration of single-species models where frameworks for discrete-time modeling are established. Competition models and Predator-prey interactions are examined next followed by evolutionary models, structured population models, and models of infectious diseases. The consequences of periodic variations, seasonal changes, and cyclic environmental factors on population dynamics and ecological interactions are investigated within the realm of periodically forced biological models.This indispensable resource is structured to support educational settings: A first course in biomathematics, introducing students to the fundamental mathematical techniques essential for biological research. A modeling course with a concentration on developing and analyzing mathematical models that encapsulate biological phenomena. An advanced mathematical biology course that offers an in-depth exploration of complex models and sophisticated mathematical frameworks designed to tackle advanced problems in biology.With its clear exposition and methodical approach, this text educates and inspires students and professionals to apply mathematical biology to real-world situations. While minimal knowledge of calculus is required, the reader should have a solid mathematical background in linear algebra.

Embark on a journey through the rapidly evolving landscape of Marketing Technology (MarTech) with this comprehensive guide. From understanding the strategic imperatives driving MarTech adoption to navigating the intricacies of data-driven customer interaction, this book provides invaluable insights and practical strategies. Explore topics ranging from budget allocation and market potential to data readiness and GDPR compliance, gaining a deep understanding of key concepts and best practices. Whether you're grappling with the complexities of AI integration or seeking to optimize measurement and KPIs, this book equips you with the knowledge and tools needed to thrive in today's digital marketing environment. With decades of industry experience, Ralf Strauss offers in this book a roadmap for success, empowering marketers to navigate the challenges and seize the opportunities presented by MarTech innovation.

This book introduces the applications of Industry 4.0 in machine tools through an overview of the latest available digital technologies. It focuses on digital twinning, communication between industrial controls, motion, and input/output devices, along with sustainability in SMEs.

This two volume set of Radiation Detection Systems presents the state-of-the-art in the design of detectors and integrated circuit design, in the context of medical imaging using ionizing radiation.

This book discusses the role of digital technologies in the growth and development of cultural organizations and the creative sector. It includes contributions by authoritative scholars who address this topic through different perspectives, methodologies and approaches.

This introductory textbook covers all the mathematical concepts necessary for a computing degree, limiting coverage only to the material needed for the fundamentals of computing rather than delving into the higher mathematical concepts.Key features include: Gears content toward students who are less confident in mathematics Provides exercises, with solutions, at the end of each chapter Teaches topics using everyday language Includes numerous worked examples in every chapter Uses familiar scenarios to introduce mathematical concepts Discusses the relevance of each chapter topic to the world of computingCore topics covered include: Set and groups Matrices Relations and functions Logic and proofs Combinatorics Probability Graph theoryThe book is written for students embarking on an undergraduate or foundation degree course in computer science (or related discipline) and aims to provide the basic skills and knowledge of discrete mathematics required for such a course. Whereas many textbooks tend to teach this subject in a way that is more suitable for mathematicians, this text specifically targets first-year students on computing courses and aims to teach only the basic material that they will need for their computing degree.Dr Quentin Charatan is a former Principal Lecturer and now visiting lecturer at the University of East London, UK. Dr Aaron Kans is the Head of the Computer Science and Digital Technologies Department in the School of Architecture, Computing & Engineering at the same institution.