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Cyber Security and Operations Management for Industry 4.0
by Ahmed A ElngarThis book seamlessly connects the topics of Industry 4.0 and cyber security. It discusses the risks and solutions of using cyber security techniques for Industry 4.0.Cyber Security and Operations Management for Industry 4.0 covers the cyber security risks involved in the integration of Industry 4.0 into businesses and highlights the issues and solutions. The book offers the latest theoretical and practical research in the management of cyber security issues common in Industry 4.0 and also discusses the ethical and legal perspectives of incorporating cyber security techniques and applications into the day-to-day functions of an organization. Industrial management topics related to smart factories, operations research, and value chains are also discussed.This book is ideal for industry professionals, researchers, and those in academia who are interested in learning more about how cyber security and Industry 4.0 are related and can work together.
Spaceborne Synthetic Aperture Radar Remote Sensing: Techniques and Applications
by Shashi Kumar Paul Siqueira Himanshu Govil Shefali AgrawalThis book provides basic and advanced concepts of synthetic aperture radar (SAR), PolSAR, InSAR, PolInSAR, and all necessary information about various applications and analysis of data of multiple sensors. It includes information on SAR remote sensing, data processing, and separate applications of SAR technology, compiled in one place. It will help readers to use active microwave imaging sensor-based information in geospatial technology and applications.This book: Covers basic and advanced concepts of synthetic aperture radar (SAR) remote sensing Introduces spaceborne SAR sensors Discusses applications of SAR remote sensing in earth observation Explores utilization of SAR data for solid earth, ecosystem, and cryosphere, including imaging of extra-terrestrial bodies Includes PolSAR and PolInSAR for aboveground forest biomass retrieval, as well as InSAR and PolSAR for snow parameters retrieval This book is aimed at researchers and graduate students in remote sensing, photogrammetry, geoscience, image processing, agriculture, environment, forestry, and image processing.
Managing Security Services in Heterogenous Networks: Confidentiality, Integrity, Availability, Authentication, and Access Control
by R. Thandeeswaran Thinagaran Perumal Kun Ma N. JeyanthiA heterogeneous network is a network which connects computers and other devices with different operating systems, protocols, or access technologies. By definition, managing heterogenous networks is more difficult that homogenous networks. Confidentiality, integrity, availability (CIA) remain the foundation of security. This book sheds light upon security threats, defenses, and remediation on various networking and data processing domains, including wired networks, wireless networks, mobile ad-hoc networks, wireless sensor networks, and social networks through the prisms of confidentiality, integrity, availability, authentication, and access control.The book is broken into different chapters that explore central subjects and themes in the development of the heterogenous networks we see today. The chapters look at: Access control methods in cloud-enabled Internet of Things Secure routing algorithms for mobile ad-hoc networks Building security trust in mobile ad-hoc networks using soft computing methods The use and development of Blockchain technology, with a particular focus on the nonce-free hash generation in Blockchain Password authentication and keystroke biometrics Health care data analytics over Big Data Bluetooth: and its open issues for managing security services in heterogenous networks Managing Security Services in Heterogenous Networks will be a valuable resource for a whole host of undergraduate and postgraduate students studying related topics, as well as career professionals who have to effectively manage heterogenous networks in the workplace.
Toward Solving Complex Human Problems: Techniques for Increasing Our Understanding of What Matters in Doing So (Complex and Enterprise Systems Engineering)
by Brian E. WhiteThis book serves three basic purposes: (1) a tutorial-type reference for complex systems engineering (CSE) concepts and associated terminology, (2) a recommendation of a proposed methodology showing how the evolving practice of CSE can lead to a more unified theory, and (3) a complex systems (CSs) initiative for organizations to invest some of their resources toward helping to make the world a better place.A wide variety of technical practitioners—e.g., developers of new or improved systems (particularly systems engineers), program and project managers, associated staff/workers, funders and overseers, government executives, military officers, systems acquisition personnel, contract specialists, owners of large and small businesses, professional society members, and CS researchers—may be interested in further exploring these topics.Readers will learn more about CS characteristics and behaviors and CSE principles and will therefore be able to focus on techniques that will better serve them in their everyday work environments in dealing with complexity. The fundamental observation is that many systems inherently involve a deeper complexity because stakeholders are engaged in the enterprise. This means that such CSs are more difficult to invent, create, or improve upon because no one can be in total control since people cannot be completely controlled. Therefore, one needs to concentrate on trying to influence progress, then wait a suitable amount of time to see what happens, iterating as necessary. With just three chapters in this book, it seems to make sense to provide a tutorial introduction that readers can peruse only as necessary, considering their background and understanding, then a chapter laying out the suggested artifacts and methodology, followed by a chapter emphasizing worthwhile areas of application.
Metaheuristic Algorithms: Theory and Practice
by Gai-Ge Wang Xiaoqi Zhao Keqin LiThis book introduces the theory and applications of metaheuristic algorithms. It also provides methods for solving practical problems in such fields as software engineering, image recognition, video networks, and in the oceans.In the theoretical section, the book introduces the information feedback model, learning-based intelligent optimization, dynamic multi-objective optimization, and multi-model optimization. In the applications section, the book presents applications of optimization algorithms to neural architecture search, fuzz testing, oceans, and image processing. The neural architecture search chapter introduces the latest NAS method. The fuzz testing chapter uses multi-objective optimization and ant colony optimization to solve the seed selection and energy allocation problems in fuzz testing. In the ocean chapter, deep learning methods such as CNN, transformer, and attention-based methods are used to describe ENSO prediction and image processing for marine fish identification, and to provide an overview of traditional classification methods and deep learning methods.Rich in examples, this book will be a great resource for students, scholars, and those interested in metaheuristic algorithms, as well as professional practitioners and researchers working on related topics.
Metaheuristic Algorithms: Theory and Practice
by Gai-Ge Wang Xiaoqi Zhao Keqin LiThis book introduces the theory and applications of metaheuristic algorithms. It also provides methods for solving practical problems in such fields as software engineering, image recognition, video networks, and in the oceans.In the theoretical section, the book introduces the information feedback model, learning-based intelligent optimization, dynamic multi-objective optimization, and multi-model optimization. In the applications section, the book presents applications of optimization algorithms to neural architecture search, fuzz testing, oceans, and image processing. The neural architecture search chapter introduces the latest NAS method. The fuzz testing chapter uses multi-objective optimization and ant colony optimization to solve the seed selection and energy allocation problems in fuzz testing. In the ocean chapter, deep learning methods such as CNN, transformer, and attention-based methods are used to describe ENSO prediction and image processing for marine fish identification, and to provide an overview of traditional classification methods and deep learning methods.Rich in examples, this book will be a great resource for students, scholars, and those interested in metaheuristic algorithms, as well as professional practitioners and researchers working on related topics.
High Performance Computing in Science and Engineering '22: Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2022
by Wolfgang E. Nagel Dietmar H. Kröner Michael M. ReschThis book presents the state-of-the-art in supercomputer simulation. It includes the latest findings from leading researchers using systems from the High Performance Computing Center Stuttgart (HLRS) in 2022. The reports cover all fields of computational science and engineering ranging from CFD to computational physics and from chemistry to computer science with a special emphasis on industrially relevant applications. Presenting findings of one of Europe’s leading systems, this volume covers a wide variety of applications that deliver a high level of sustained performance.The book covers the main methods in high-performance computing. Its outstanding results in achieving the best performance for production codes are of particular interest for both scientists and engineers. The book comes with a wealth of color illustrations and tables of results.
Artificial Intelligence and Machine Learning: First International Artificial Intelligence Conference, IAIC 2023, Nanjing, China, November 25–27, 2023, Revised Selected Papers, Part I (Communications in Computer and Information Science #2058)
by Hai Jin Yi Pan Jianfeng LuThis 3-volume set, CCIS 2058-2060 constitutes the First International Conference, on Artificial Intelligence, IAIC 2023, held in Nanjing, China, in November 2023. The 85 full papers presented were carefully reviewed and selected from 428 submissions. The papers are clustered in parts on: Artificial Intelligence and Machine Learning; Data Security and information Security; Computer Networks and IoT. The papers present recent research and developments in artificial intelligence and its applications in machine learning, natural language processing, computer vision, robotics, and ethical considerations.
Data Science and Information Security: First International Artificial Intelligence Conference, IAIC 2023, Nanjing, China, November 25–27, 2023, Revised Selected Papers, Part II (Communications in Computer and Information Science #2059)
by Hai Jin Yi Pan Jianfeng LuThis 3-volume set, CCIS 2058-2060 constitutes the First International Conference, on Artificial Intelligence, IAIC 2023, held in Nanjing, China, in November 2023. The 85 full papers presented were carefully reviewed and selected from 428 submissions. The papers are clustered in parts on: Artificial Intelligence and Machine Learning; Data Security and information Security; Computer Networks and IoT. The papers present recent research and developments in artificial intelligence and its applications in machine learning, natural language processing, computer vision, robotics, and ethical considerations.
Psychologie von Risiko und Vertrauen: Wahrnehmung, Verhalten und Kommunikation
by Jörn Basel Philipp HenriziPsychologie von Risiko und Vertrauen Unsicherheit und Unplanbarkeit nehmen zu, globale Krisen, Fake News und Skepsis erodieren bestehendes Vertrauen. Zusätzlich wird diese Dynamik durch technologische Entwicklungen befeuert, deren Akzeptanz maßgeblich von einer subjektiven Bewertung der Chancen und Risiken abhängt. Risikokompetenz, Risikomündigkeit oder auch Vertrauensaufbau sind hierbei zentrale Schlagwörter, welche exemplarisch für einen fundierten Umgang mit Risiko und Vertrauen stehen. Dieses Buch bietet Ihnen in 11 Kapiteln eine praxisorientierte Einführung in die Psychologie von Risiko und Vertrauen. Sie vertiefen Ihre Kenntnisse über Risikokommunikation im Krisenfall, den Umgang mit Misstrauen und auch wie es gelingt Vertrauen als entscheidendes Bindeglied zu etablieren, um Innovation und Fortschritt zu ermöglichen. Die didaktisch eingängig strukturierten Inhalte mit Lernzielen und Kontrollfragen stützen sich auf bewährte psychologische und aktuelle wissenschaftliche Erkenntnisse. Vielfältige Praxisbeispiele, wie z.B. von einer Extremsportlerin, einem Flight Safety Officer und einem katholischen Missbrauchsaufklärer, vermitteln einen persönlichen Bezug und zeigen Ihnen, wie vielschichtig sich der Umgang mit Risiko und Vertrauen gestalten kann. Dazu erhalten Sie hilfreiche Zusatzmaterialien über die Begleitwebseite. Kapitel 4 ist unter einer Creative Commons Attribution 4.0 International License über link.springer.com frei verfügbar (Open Access). Zielgruppen Studierende der Wirtschaftspsychologie und anderer Studiengänge im Bereich Wirtschaft, Entscheidungsträger, Führungskräfte und alle, die sich für den Umgang mit Risiko und Vertrauen interessieren. Zu den Herausgebern Prof. Dr. Jörn Basel – Professor für Wirtschaftspsychologie an der Hochschule Luzern (HSLU). Mitglied des First International Network on Trust (FINT). Seine Forschung beschäftigt sich unter anderem damit, wie Organisationen verlorenes Vertrauen wiederaufbauen können. Prof. Dr. Philipp Henrizi – Professor und Programmleiter Governance, Risk and Compliance der Hochschule Luzern (HSLU). Diverse Forschungsprojekte und Publikationen im Bereich Risk Management und Compliance Management. Mitglied im European Risk Research Network (ERRN). Chapter “Ansätze zur Messung von Risikowahrnehmung und Risikoeinstellung: das Beispiel touristische Reiseabsicht während einer Pandemie” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Erfolgreiche Transformation zum digitalen Champion: Wettbewerbsvorteile durch Digitalisierung und Künstliche Intelligenz
by Marc HelmoldDie digitale Transformation und der Einsatz von menschenähnlichen oder menschengleichen (humanoiden) Maschinen gehören zu den wichtigsten gesellschaftlichen und wirtschaftlichen Entwicklungen unserer Zeit. Dieses Buch beschreibt neben Anwendungen und Konzepten der Digitalisierung und Künstlicher Intelligenz, wie Unternehmen eine erfolgreiche Transformation zum digitalen Champion umsetzen können. Außerdem werden zahlreiche Praxisbeispiele in den Bereichen Supply Chain Management, Produktion, Nachhaltigkeit oder dem Bildungswesen dargestellt.
Digital Forensics and Cyber Crime: 14th EAI International Conference, ICDF2C 2023, New York City, NY, USA, November 30, 2023, Proceedings, Part I (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #570)
by Sanjay Goel Paulo Roberto Nunes de SouzaThe two-volume set LNICST 570 and 571 constitutes the refereed post-conference proceedings of the 14th EAI International Conference on Digital Forensics and Cyber Crime, ICDF2C 2023, held in New York City, NY, USA, during November 30, 2023.The 41 revised full papers presented in these proceedings were carefully reviewed and selected from 105 submissions. The papers are organized in the following topical sections:Volume I:Crime profile analysis and Fact checking, Information hiding and Machine learning.Volume II: Password, Authentication and Cryptography, Vulnerabilities and Cybersecurity and forensics.
Computer Networks and IoT: First International Artificial Intelligence Conference, IAIC 2023, Nanjing, China, November 25–27, 2023, Revised Selected Papers, Part III (Communications in Computer and Information Science #2060)
by Hai Jin Yi Pan Jianfeng LuThis 3-volume set, CCIS 2058-2060 constitutes the First International Conference, on Artificial Intelligence, IAIC 2023, held in Nanjing, China, in November 2023. The 85 full papers presented were carefully reviewed and selected from 428 submissions. The papers are clustered in parts on: Artificial Intelligence and Machine Learning; Data Security and information Security; Computer Networks and IoT. The papers present recent research and developments in artificial intelligence and its applications in machine learning, natural language processing, computer vision, robotics, and ethical considerations.
Digital Forensics and Cyber Crime: 14th EAI International Conference, ICDF2C 2023, New York City, NY, USA, November 30, 2023, Proceedings, Part II (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #571)
by Sanjay Goel Paulo Roberto Nunes de SouzaThe two-volume set LNICST 570 and 571 constitutes the refereed post-conference proceedings of the 14th EAI International Conference on Digital Forensics and Cyber Crime, ICDF2C 2023, held in New York City, NY, USA, during November 30, 2023.The 41 revised full papers presented in these proceedings were carefully reviewed and selected from 105 submissions. The papers are organized in the following topical sections:Volume I:Crime profile analysis and Fact checking, Information hiding and Machine learning.Volume II: Password, Authentication and Cryptography, Vulnerabilities and Cybersecurity and forensics.
Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications (Tech Today)
by Shreyas SubramanianLearn to build cost-effective apps using Large Language Models In Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications, Principal Data Scientist at Amazon Web Services, Shreyas Subramanian, delivers a practical guide for developers and data scientists who wish to build and deploy cost-effective large language model (LLM)-based solutions. In the book, you'll find coverage of a wide range of key topics, including how to select a model, pre- and post-processing of data, prompt engineering, and instruction fine tuning. The author sheds light on techniques for optimizing inference, like model quantization and pruning, as well as different and affordable architectures for typical generative AI (GenAI) applications, including search systems, agent assists, and autonomous agents. You'll also find: Effective strategies to address the challenge of the high computational cost associated with LLMs Assistance with the complexities of building and deploying affordable generative AI apps, including tuning and inference techniques Selection criteria for choosing a model, with particular consideration given to compact, nimble, and domain-specific models Perfect for developers and data scientists interested in deploying foundational models, or business leaders planning to scale out their use of GenAI, Large Language Model-Based Solutions will also benefit project leaders and managers, technical support staff, and administrators with an interest or stake in the subject.
Wirkungsvolle Videos fürs Web für Dummies (Für Dummies)
by Oliver Langewitz Kurt Schlegel Elke SchloteMithilfe von Videos das Netz begeistern Videos bieten Ihnen die Möglichkeit, eigene Ideen zu vermitteln oder Ihre Marke zu präsentieren. Wie Sie wirkungsvolle Videos fürs Web erstellen und was Sie bei der videobasierten Kommunikation beachten müssen, erfahren Sie in diesem Buch. Oliver Langewitz, Kurt Schlegel und Elke Schlote erklären Ihnen in praktischen Schritten, wie Ihnen die Planung, Erstellung und Verbreitung von Videos fürs Web optimal gelingt. Dabei lernen Sie auch die Besonderheiten der verschiedenen Internetplattformen kennen und wie Sie Ihre Zielgruppe mit Ihren Inhalten abholen. Sie erfahren Wie Sie professionelle Webvideos produzieren Wie Sie in Ihren Videos wirksame Geschichten erzählen Welche Online-Kanäle für Ihre Videos wichtig sind Wie es Ihnen gelingt, mit Ihren Videos eine breite Community zu erreichen
Getting Great Results with Excel Pivot Tables, PowerQuery and PowerPivot (Tech Today)
by Thomas FragaleGet more out of your data with step-by-step tutorials for the Excel features you need to know Excel is still the most popular tool for organizing and analyzing data, and today's professionals are expected to have a high degree of fluency with it. Complex Excel tools like Pivot Tables, PowerQuery, and PowerPivot can help you manage and report on data the way you need to. Getting Great Results with Excel Pivot Tables, PowerQuery and PowerPivot offers a fresh look at how these tools can help you. Author and Microsoft Certified Trainer Thomas Fragale breaks down the topics into easy-to-use steps and screenshots, so you'll be able to put your advanced Excel skills into practice right away. Using Pivot Tables, PowerQuery, and PowerPivot, you can import, sort, transform, summarize, and present your data, all without having to be a programmer. This book takes the technical jargon out of using these features, so you can do your job more efficiently, bring value to your teams, and advance your career. The plain-English instructions inside will help anyone learn to get quick, meaningful results from your data, without having a degree in computing. Get easy-to-understand walkthroughs for analyzing data and creating dashboards in Microsoft Excel Learn how to organize data in Excel and use advanced features to find patterns and insights Summarize any kind of data faster and easier, leaving you more time for other tasks Turn raw numbers into new knowledge, reports, and charts that tell coworkers and customers what they need to know This book is great for anybody who has tons of raw data and needs to make sense of it. Managers, salespeople, finance professionals, marketers—along with anyone else who works with large amounts of data—will love this quick and easy guide to Pivot Tables, PowerQuery, and PowerPivot.
Shopify für Dummies (Für Dummies)
by Adrian PiegsaIn kürzester Zeit erfolgreich auf Shopify Mit Shopify bauen Sie Ihren eigenen Online-Shop, der perfekt zu Ihren Bedürfnissen passt. Adrian Piegsa gibt Ihnen einen Überblick über die Shop-Plattform, zeigt Ihnen, wie Sie sich zurechtfinden und worauf Sie achten müssen. Sie lernen Schritt für Schritt, wie Sie Ihren Webshop mit Kategorien und Produkten anlegen, Bestellungen abwickeln und Ihren Erfolg optimieren. Darüber hinaus erfahren Sie alles über Vertriebs- und Werbemöglichkeiten von Shopify und erhalten Tipps und Tricks im Umgang mit der Software ? speziell für den deutschsprachigen Raum. Sie erfahren Wie Sie sich auf Shopify zurechtfinden Was eine gute Shop-Struktur ausmacht Wie Sie Shopify-Apps sinnvoll nutzen Wie Sie Ihre Statistiken einsehen und auswerten
Salesforce For Dummies
by Liz Kao Jon PazYour easy-to-follow guide to the world’s leading cloud-based CRM software Salesforce gives your business an edge in tracking relationships and managing sales, marketing, customer service, and support operations. Salesforce For Dummies help you take advantage of key platform functionality and focus on making the most of its many features. Learn best practices to determine the right configuration to suit your business needs, and how to use apps, build widgets, and configure features to personalize your system for your business. Explore prospecting for leads, managing accounts, maintaining contacts, tracking products, calculating forecasts, and monitoring each customer’s service and support interactions with your business. Collaborate with colleagues by sharing information across a 360-degree view of all customer interactions, enhance your online marketing, gain real-time visibility into sales, and close deals faster. Get started with configuring Salesforce and set up the apps that your business needs Discover the latest updates to Salesforce, including Flow Builder, Lightning, and Einstein Improve business performance with reporting insights, collaborative communication features, and integrated sales and marketing processes Find new ways to improve productivity and reduce administration timeSalesforce For Dummies is the fully updated, best-selling guide that helps new and existing users get up to speed with the world’s top CRM.
Writing AI Prompts For Dummies
by Stephanie Diamond Jeffrey AllanLearn the art of writing effective AI prompts and break into an exciting new career field Unlock the full power of generative AI with Writing AI Prompts For Dummies, a comprehensive guide that will teach you how to confidentially write effective AI prompts. Whether it's text, images, or even videos and music you're aiming to create, this book provides the foundational knowledge and practical strategies needed to produce impressive results. Embark on a journey of discovery with Writing AI Prompts For Dummies and learn how to: Craft AI prompts that produce the most powerful results. Navigate the complexities of different AI platforms with ease. Generate a diverse range of content, from compelling narratives to stunning visuals. Refine AI-generated output to perfection and integrate that output effectively into your business or project. This resource is brimming with expert guidance and will help you write AI prompts that achieve your objectives. Whether you're a marketer, educator, artist, or entrepreneur, Writing AI Prompts For Dummies is your indispensable guide for leveraging AI to its fullest potential. Get ready to harness the power of artificial intelligence and spark a revolution in your creative and professional efforts.
Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications (Tech Today)
by Shreyas SubramanianLearn to build cost-effective apps using Large Language Models In Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications, Principal Data Scientist at Amazon Web Services, Shreyas Subramanian, delivers a practical guide for developers and data scientists who wish to build and deploy cost-effective large language model (LLM)-based solutions. In the book, you'll find coverage of a wide range of key topics, including how to select a model, pre- and post-processing of data, prompt engineering, and instruction fine tuning. The author sheds light on techniques for optimizing inference, like model quantization and pruning, as well as different and affordable architectures for typical generative AI (GenAI) applications, including search systems, agent assists, and autonomous agents. You'll also find: Effective strategies to address the challenge of the high computational cost associated with LLMs Assistance with the complexities of building and deploying affordable generative AI apps, including tuning and inference techniques Selection criteria for choosing a model, with particular consideration given to compact, nimble, and domain-specific models Perfect for developers and data scientists interested in deploying foundational models, or business leaders planning to scale out their use of GenAI, Large Language Model-Based Solutions will also benefit project leaders and managers, technical support staff, and administrators with an interest or stake in the subject.
Softwaretesten nach ISTQB CTFL 4.0 für Dummies (Für Dummies)
by Maud SchlichNeue Hauptversion 4.0: Neuer Lehrplan, geänderter Prüfungsumfang! Soll in Ihrem Unternehmen neue Software eingeführt werden und Sie müssen sie testen? Oder wollen Sie als Entwickler über den Tellerrand schauen und sich auch mit dem Softwaretesten beschäftigen? Leicht verständlich erläutert Ihnen Maud Schlich alle vom ISTQB® Certified Tester Foundation Level geforderten Lerninhalte sowohl für Programmierer als auch mit Blick auf Fachanwender, die die Software später einsetzen. Zahlreiche praxisorientierte Beispiele und übungen sorgen für eine optimale Prüfungsvorbereitung. Darüber hinaus erfahren Sie für alle Testaktivitäten, wie sie jeweils im klassischen oder im agilen Kontext geplant und durchgeführt werden. Sie erfahren Aus welchen Aktivitäten der Testprozess besteht Wie Sie unterschiedliche Testverfahren nutzen Wie Entwickler und Tester optimal zusammenarbeiten Wie Sie prüfen, ob Sie noch im Plan sind
The Impact of ChatGPT on Higher Education: Exploring the AI Revolution
by Caroline Fell Kurban Muhammed ŞahinIn an ever-evolving educational landscape, traditional methods face unprecedented challenges. The Impact of ChatGPT on Higher Education takes you on a trailblazing journey into ChatGPT's transformative potential and the ethical considerations in higher education. Authored by experts at the forefront of educational transformation and technology's impact on learning, this book offers invaluable insights for educators, leaders, policymakers, and AI enthusiasts. Dive deep with the authors as they navigate from theory to practice, unravelling power dynamics, social structures, and ChatGPT's profound influence. Real-world examples and a captivating case study from MEF University provide tangible evidence of ChatGPT's impact on education. Explore how ChatGPT raises critical questions about course planning, assessments, teaching, and AI's role in education. The authors illuminate issues related to academic honesty, ethics, bias, misinformation, cost, equity, and data privacy. As AI technologies continue to evolve and impact education, The Impact of ChatGPT on Higher Education provides valuable guidance and insights for educators and researchers seeking to harness the power of ChatGPT in their work.
The Impact of ChatGPT on Higher Education: Exploring the AI Revolution
by Caroline Fell Kurban Muhammed ŞahinIn an ever-evolving educational landscape, traditional methods face unprecedented challenges. The Impact of ChatGPT on Higher Education takes you on a trailblazing journey into ChatGPT's transformative potential and the ethical considerations in higher education. Authored by experts at the forefront of educational transformation and technology's impact on learning, this book offers invaluable insights for educators, leaders, policymakers, and AI enthusiasts. Dive deep with the authors as they navigate from theory to practice, unravelling power dynamics, social structures, and ChatGPT's profound influence. Real-world examples and a captivating case study from MEF University provide tangible evidence of ChatGPT's impact on education. Explore how ChatGPT raises critical questions about course planning, assessments, teaching, and AI's role in education. The authors illuminate issues related to academic honesty, ethics, bias, misinformation, cost, equity, and data privacy. As AI technologies continue to evolve and impact education, The Impact of ChatGPT on Higher Education provides valuable guidance and insights for educators and researchers seeking to harness the power of ChatGPT in their work.
Data Science Fundamentals with R, Python, and Open Data
by Marco CremoniniData Science Fundamentals with R, Python, and Open Data Introduction to essential concepts and techniques of the fundamentals of R and Python needed to start data science projects Organized with a strong focus on open data, Data Science Fundamentals with R, Python, and Open Data discusses concepts, techniques, tools, and first steps to carry out data science projects, with a focus on Python and RStudio, reflecting a clear industry trend emerging towards the integration of the two. The text examines intricacies and inconsistencies often found in real data, explaining how to recognize them and guiding readers through possible solutions, and enables readers to handle real data confidently and apply transformations to reorganize, indexing, aggregate, and elaborate. This book is full of reader interactivity, with a companion website hosting supplementary material including datasets used in the examples and complete running code (R scripts and Jupyter notebooks) of all examples. Exam-style questions are implemented and multiple choice questions to support the readers’ active learning. Each chapter presents one or more case studies. Written by a highly qualified academic, Data Science Fundamentals with R, Python, and Open Data discuss sample topics such as: Data organization and operations on data frames, covering reading CSV dataset and common errors, and slicing, creating, and deleting columns in R Logical conditions and row selection, covering selection of rows with logical condition and operations on dates, strings, and missing values Pivoting operations and wide form-long form transformations, indexing by groups with multiple variables, and indexing by group and aggregations Conditional statements and iterations, multicolumn functions and operations, data frame joins, and handling data in list/dictionary format Data Science Fundamentals with R, Python, and Open Data is a highly accessible learning resource for students from heterogeneous disciplines where Data Science and quantitative, computational methods are gaining popularity, along with hard sciences not closely related to computer science, and medical fields using stochastic and quantitative models.