Datamodellering og simulering

Videregående kvantitative metoder behandler avancerede emner inden for statistisk modellering af samfundsvidenskabelige fænomener primært med udgangspunkt i data på individniveau. Emnerne i de enkelte kapitler er udvalgte, så de er dækkende for de typer af data, som man oftest vil støde på i samfundsvidenskaberne.De teoretiske overvejelser i kapitlerne illustreres af grundige empiriske illustrationer fra det sociologiske, politologiske, økonomiske eller socialmedicinske område. Vægten er således lagt på anvendelsen af teorien og vil sætte læseren i stand til trinvist at løse et givet modelleringsproblem. Videregående kvantitative metoder henvender sig særligt til samfundsvidenskabelige forskere, master- og ph.d.-studerende, som med baggrund i en viden om elementær statistik har brug for at opruste sig på avancerede emner inden for området, men kan også anvendes af bachelorstuderende, som følger kvantitative fag, der ligger ud over basal kvantitativ metode.

Unleash the power of Python for your data analysis projects with For Dummies! Python is the preferred programming language for data scientists and combines the best features of Matlab, Mathematica, and R into libraries specific to data analysis and visualization.

Between major privacy regulations like the GDPR and CCPA and expensive and notorious data breaches, there has never been so much pressure to ensure data privacy. Unfortunately, integrating privacy into data systems is still complicated. This essential guide will give you a fundamental understanding of modern privacy building blocks, like differential privacy, federated learning, and encrypted computation. Based on hard-won lessons, this book provides solid advice and best practices for integrating breakthrough privacy-enhancing technologies into production systems. Practical Data Privacy answers important questions such as: What do privacy regulations like GDPR and CCPA mean for my data workflows and data science use cases? What does "anonymized data" really mean? How do I actually anonymize data? How does federated learning and analysis work? Homomorphic encryption sounds great, but is it ready for use? How do I compare and choose the best privacy-preserving technologies and methods? Are there open-source libraries that can help? How do I ensure that my data science projects are secure by default and private by design? How do I work with governance and infosec teams to implement internal policies appropriately?

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible.Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. Youll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what youve learned along the way.Youll learn how to:Wrangletransform your datasets into a form convenient for analysisProgramlearn powerful R tools for solving data problems with greater clarity and easeExploreexamine your data, generate hypotheses, and quickly test themModelprovide a low-dimensional summary that captures true "e;signals"e; in your datasetCommunicatelearn R Markdown for integrating prose, code, and results

New to programming and seeking an open-source electronic interface? Look no further than Arduino!With various Arduino models available and a plethora of online and offline projects utilizing Arduino technology, its versatility and user-friendliness have drawn both beginners and experts alike.Introducing "Arduino Programming: A Comprehensive Beginner's Tutorial to Master Arduino Programming Sequentially" your gateway to mastering this remarkable tool. Explore chapters covering:- Arduino's evolution- Six advantages of Arduino- Arduino's anatomy and terminology- Navigating Arduino options- Setting up Arduino- Understanding data types- Inputs, outputs, and sensors- Plus much more!This comprehensive guide equips you with the essential knowledge to kickstart your Arduino journey. Overcome initial hurdles swiftly, empowering you to dive into programming faster than ever before.

Attackers have to be only right once, but just one mistake will permanently undo them.Book DescriptionThe "Ultimate Cyberwarfare for Evasive Cyber Tactic" is an all-encompassing guide, meticulously unfolding across pivotal cybersecurity domains, providing a thorough overview of cyber warfare. The book begins by unraveling the tapestry of today's cyber landscape, exploring current threats, implementation strategies, and notable trends. From operational security triumphs to poignant case studies of failures, readers gain valuable insights through real-world case studies.The book delves into the force-multiplying potential of the Information Warfare component, exploring its role in offensive cyber operations. From deciphering programming languages, tools, and frameworks to practical insights on setting up your own malware lab, this book equips readers with hands-on knowledge. The subsequent chapters will immerse you in the world of proof-of-concept evasive malware and master the art of evasive adversarial tradecraft. Concluding with a forward-looking perspective, the book explores emerging threats and trends, making it an essential read for anyone passionate about understanding and navigating the complex terrain of cyber conflicts.Table of Contents1. History of Cyber Conflicts2. Notable Threats and Trends3. Operational Security Successes and Failures4. The Information Warfare Component5. Programming Languages, Tools, and Frameworks6. Setting Up Your Malware Lab7. Proof-of-Concept Evasive Malware8. Evasive Adversarial Tradecraft9. Emerging Threats and Trends Index

This is the first book that sums up test-related modeling of digital circuits and systems by a new structural-decision-diagrams model. The model represents structural and functional information jointly and opens a new area of research.The book introduces and discusses applications of two types of structural decision diagrams (DDs): low-level, structurally synthesized binary DDs (SSBDDs) and high-level DDs (HLDDs) that enable diagnostic modeling of complex digital circuits and systems.Topics and features:Provides the definition, properties and techniques for synthesis, compression and optimization of SSBDDs and HLDDsProvides numerous working examples that illustrate the key points of the textDescribes applications of SSBDDs and HLDDs for various electronic design automation (EDA) tasks, such as logic-level fault modeling and simulation, multi-valued simulation, timing-critical path identification, and test generationDiscusses the advantages of the proposed model to traditional binary decision diagrams and other traditional design representationsCombines SSBDDs with HLDDs for multi-level representation of digital systems for enabling hierarchical and cross-level solving of complex test-related tasksThis unique book is aimed at researchers working in the fields of computer science and computer engineering, focusing on test, diagnosis and dependability of digital systems. It can also serve as a reference for graduate- and advanced undergraduate-level computer engineering and electronics courses.Three authors are affiliated with the Dept. of Computer Systems at the Tallinn University of Technology, Estonia: Raimund Ubar is a retired Professor, Jaan Raik and Maksim Jenihhin are tenured Professors. Artur Jutman, PhD, is a researcher at the same university and the CEO of Testonica Lab Ltd., Estonia.

Commissioned by the Society for Modeling and Simulation International (SCS), this needed, useful new ¿Body of Knowledge¿ (BoK) collects and organizes the common understanding of a wide collection of professionals and professional associations.Modeling and simulation (M&S) is a ubiquitous discipline that lays the computational foundation for real and virtual experimentation, clearly stating boundaries¿and interactions¿of systems, data, and representations. The field is well known, too, for its training support via simulations and simulators. Indeed, with computers increasingly influencing the activities of today¿s world, M&S is the third pillar of scientific understanding, taking its place along with theory building and empirical observation.This valuable new handbook provides intellectual support for all disciplines in analysis, design and optimization. It contributes increasingly to the growing number of computational disciplines, addressing the broad variety of contributing as well as supported disciplines and application domains. Further, each of its sections provide numerous references for further information. Highly comprehensive, the BoK represents many viewpoints and facets, captured under such topics as:Mathematical and Systems Theory FoundationsSimulation Formalisms and ParadigmsSynergies with Systems Engineering and Artificial IntelligenceMultidisciplinary ChallengesEthics and PhilosophyHistorical PerspectivesExamining theoretical as well as practical challenges, this unique volume addresses the many facets of M&S for scholars, students, and practitioners. As such, it affords readers from all science, engineering, and arts disciplines a comprehensive and concise representation of concepts, terms, and activities needed to explain the M&S discipline.Tuncer Ören is Professor Emeritus at the University of Ottawa. Bernard Zeigler is Professor Emeritus at the University of Arizona. Andreas Tolk is Chief Scientist at The MITRE Corporation. All three editors are long-time members and Fellows of the Society for Modeling and Simulation International. Under the leadership of three SCS Fellows, Dr. Ören, University of Ottawa, Dr. Zeigler, The University of Arizona, and Dr. Tolk, The MITRE Corporation, more than 50 international scholars from 15 countries provided insights and experience to compile this initial M&S Body of Knowledge.

"This concise textbook introduces an innovative computational approach to quantum mechanics. Emphasizing learning through implementation and simulation of quantum phenomena, it's packed with exercises and examples. Source code and data files are provided, along with solutions. Extra problems with locked solutions are provided online for instructors"--

* Contains computer algebra worksheets or "recipes" designed using MAPLE (System 10); no prior knowledge of MAPLE is assumed* Effective computational science text for first- and second-year undergraduates in mathematics, physics, engineering, chemistry, economics, biology, and pre-medicine* Examples and problems provide basis for both self-study and on-line course

The book focuses on modeling real-world crisis management in digital product development. This includes models and methods for forecasting, responding, and agile engineering/managing for sustainable product development. This book suggests an approach that contains principles, formal models, and semi-formal practice-oriented methods, patterns and techniques to efficiently manage these crises and provide sustainable development. The book also introduces a set of principles, models, and methods for sustainable management as a blend, the components of which have been carefully selected from a few domains adjacent to digital production such as IT-intensive operation, human resource management, and knowledge engineering, to name a few. The key ingredients of this crisis management framework include smart data modeling, trade-off optimizing, agile product controlling, and knowledge transferring.

Data modeling is the single most overlooked feature in the Power BI Desktop, yet it's what sets Power BI apart from other tools on the market. This practical book serves as your fast-forward button for data modeling with Power BI, Analysis Services tabular, and SQL databases. It serves as a starting point for data modeling, as well as a handy refresher. Author Markus Ehrenmueller-Jensen, founder of Savory Data, shows you the basic concepts of Power BI's data model with hands-on examples in DAX, Power Query, and T-SQL. If you're looking to build a data warehouse layer, chapters with T-SQL examples will get you started. You'll begin with simple steps and gradually solve more complex problems. This book shows you how to: Normalize and denormalize with DAX, Power Query, and T-SQL Apply best practices for calculations, flags and indicators, time and date, and role-playing dimensions with DAX, Power Query, and T-SQL Solve challenges such as binning, budget, localized models, composite models, and key value with DAX, Power Query, and T-SQL Discover and tackle performance issues by applying solutions in DAX, Power Query, and T-SQL Work with tables, relations, set operations, normal forms, dimensional modeling, and ETL

"Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they're also surrounded by a lot of hyperbole and confusion. This practical book provides a guided tour of these architectures to help data professionals understand the pros and cons of each. James Serra, big data and data warehousing solution architect at Microsoft, examines common data architecture concepts, including how data warehouses have had to evolve to work with data lake features. You'll learn what data lakehouses can help you achieve, and how to distinguish data mesh hype from reality. Best of all, you'll be able to determine the most appropriate data architecture for your needs. With this book, you'll: gain a working understanding of several data architectures; learn the strengths and weakness of each approach; distinguish data architecture theory from the reality; pick the best architecture for your use case; understand the differences between data warehouses and data lakes; learn common data architecture concepts to help you build better solutions; explore the historical evolution and characteristics of data architectures; learn essentials of running an architecture design session, team organization, and project success factors."--

Welcome to "Step into Deep Learning," a comprehensive journey into the fascinating world of artificial intelligence and deep learning. In an era where data-driven decision-making and automation have become pivotal in various domains, understanding the principles and techniques of deep learning is more critical than ever. This book serves as your trusty guide, designed to demystify the complex concepts and empower you to embark on your own deep learning adventures.In the pages that follow, we'll embark on a captivating exploration of deep learning, starting with the fundamentals and gradually progressing to more advanced topics. Whether you're a novice eager to grasp the basics or an experienced practitioner seeking to deepen your knowledge, this book offers something for everyone. Along the way, you'll gain hands-on experience through practical examples and exercises, building a solid foundation that enables you to create and deploy cutting-edge AI models. So, let's dive in together, embrace the power of deep learning, and pave the way for a future shaped by intelligent algorithms and innovative solutions.

This textbook addresses the most recent advances and main digital technologies used in farming. The reader will be able to understand the main concepts and techniques currently used to efficiently manage agricultural production systems. The book covers topics in a general and intuitive way, with examples and good illustrations.

Enterprise risk management has always been important. However, the events of the 21st Century have made it even more critical. The top level of business management became suspect after scandals at ENRON, WorldCom, and other business entities. Financially, many firms experienced difficulties from bubbles. The problems of interacting cultures demonstrated risk from terrorism as well, with numerous terrorist attacks, to include 9/11 in the U.S. Risks can arise in many facets of business. Businesses in fact exist to cope with risk in their area of specialization. Financial risk management has focused on banking, accounting, and finance. We have discussed several aspects of risk, to include information systems, disaster management, and supply chain perspectives. The bulk of this book is devoted to presenting a number of operations research models that have been (or could be) applied to enterprise supply risk management, especially from the supply chain perspective.

"This book introduces the computational tool, Computational Grains, used in micromechanical modeling of heterogeneous materials. Presenting the theory step-by-step and with MATLAB codes, the material is accessible and practical for readers. Ideal for graduate students and researchers in mechanical and aerospace engineering and applied mechanics"--

This book presents the design of modular architecture flight simulators. Safe transportation of people and goods is one of the main directions for the development of the world economy. At the same time, in conditions of constantly increasing intensity of air traffic, the actions of people, responsible for piloting aircraft and air traffic control are of particular importance. In this regard, special attention should be paid to the process of training such specialists. This book describes various flight simulators of an aircraft, as well as to assess the impact of various characteristics of aviation simulators on the quality of skills of aviation specialists. The book discusses the following issues:1) method of setting dynamic parameters;2) methods of correction of simulator parameters, according to expert opinions of operating organizations;3) modules of simulators of operation of various aircraft units and flight conditions;4) prospects for the development of aviation simulators;5) collection and evaluation of information in the process of training on aviation simulators.

**AS SEEN ON BBC BREAKFAST**Will we ever truly understand our cosmic home? This is the story of the technologies that allow us to look up, to learn and to discover our place in the cosmos.'An electrifying new history of the universe' HANNAH FRY, author of Rutherford and Fry's Complete Guide to Absolutely EverythingWe are part of an incredible chain of events stretching 13.8 billion years into the past and even further into the future. But what does that future hold? And how do scientists study the entire universe?The Universe in a Box is Andrew Pontzen's tribute to simulations - the remarkable computer codes that, over the last century, have allowed us to grasp the distant past and far future of the universe. It reveals the stories of pioneering scientists who unlocked the mysteries of the cosmos, and reframes our understanding of galaxies, black holes and space itself.'I was enlightened, amazed, and profoundly impressed' SIR PHILIP PULLMAN, author of His Dark Materials'Compelling...a veritable treasure chest filled with captivating stories'SCIENCE

The book is the first volume of the Proceedings of the 41st ecAADe Conference, 18-23 September 2023 in Graz, Austria. eCAADe was founded to promote ¿good practice and sharing information in relation to the use of computers in research and education in architecture and related professions¿. There are thematic sections on Digital Design Education, on Digital Fabrication, on Virtual Reality, on Virtual Heritage, on Generative Design and Machine Learning, on Digital Cities, on Simulation and Digital Twins, on BIM, on Collaboration and Inclusion, on Sustainability and Circular Design, on Design Theory and on Digital Design Experimentations.

This book constitutes the proceedings of the 16th International Symposium on Algorithmic Game Theory, SAGT 2023, which took place in Egham, UK, in September 2023. The 26 full papers included in this book were carefully reviewed and selected from 59 submissions. They were organized in topical sections as follows: ¿computational aspects and efficiency in games; computational social choice; fair division; matching and mechanism design.