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Haine P: HTML Mastery

HTML Mastery

Semantics, Standards, and Styling

Introduction.- Terms, Phrases, and Meanings.- XHTML Versus HTML.- Recognizing Semantics: Planning Your Markup Structure.- Using The Right Tag for the Right Job.- Table Mastery.- Form Mastery.- Microformats.- Appendix A: Looking Ahead to XHTML 2.0 and Web Applications 1.0.- Appendix B: Serving XHTML Documents with the Application/XML+XHTML MIME Type.

Fuzzy Management Methods

Fuzzy Sets and Systems.- Approximative Measurements.- Reputation Management.- Knowledge Carriers.- Data Warehouse.- Phenotropic Interaction.- Responsible Actions.

An Introduction with Cases from Business Informatics, Computer Science and Engineering

Fuzzy Sets and Systems I

Graduate to the next level of your software development career, learning the tools you need to successfully manage the complexity of modern software systems.&nbsp;Whether you are a developer at a small software company or one of many developers at a large enterprise, your success directly correlates to the ability of your development team to rapidly respond to change. In today’s world, developers face increasingly complex challenges when it comes to requirements, technology, solution hosting, support, and pace of change.&nbsp;This book will help you put on the lens of a software engineer. You will come away with an understanding of how to view the entire spectrum of the software development process, learn valuable concepts, and apply these principles through meaningful examples.
What You Will Learn

Move beyond being a programmer to being a professional software engineer
Spend more time developing software; minimize time spent dealing with ineffective or inadequate processes
Reduce errors in judgment and provide predictable outcomes while maintaining agility and responsiveness using Lean and Agile practices
Identify and effectively manage the various types of complexity present in modern software development
Know the steps you can take to ensure a shared understanding among stakeholders
Discover tools to validate user experience early and often to minimize costly re-work
Develop software designs and architectures that enable long-term business agility
Implement patterns and processes that result in “falling into the pit of success” instead of into the “pit of failure”
Adopt processes and patterns that will result in pervasive “institutionalized” quality
Think differently about the responsibilities and accountabilities of essential technical leadership roles that will ensure team maturity and growth
Understand what it means to be a professional engineer and how to take steps towards achieving true professionalism

&nbsp;
New to This Edition
In this second edition, two seasoned veterans Doug Durham and Chad Michel have added new material that dives deeper into the challenges that prevent teams&nbsp;from maintaining velocity over the lifetime of their projects. Packed with plenty of useful examples based on real-world project development experience, the authors will explore&nbsp;the process of systems decomposition and detailed design as well as expanded discussions on topics covering the entire development lifecycle. The book includes a detailed discussion of the core quality metrics teams should adopt and why these are important to enabling positive change in outcomes. Readers will learn from individual case studies to help put the concepts of this book into practice for the improvement and maturation of developers. Finally, they introduce the notion of establishing a standard of care for software development that can move software engineering closer to being recognized as a professional engineering discipline.

Achieving Predictable Outcomes Through a System for Software Development

Lean Software Systems Engineering for Developers

ARM Assembly Language: Fundamentals and Techniques, Third Edition explains in clear terms how Arm processors are programmed at the most fundamental level. It moves entirely into the Cortex-M space, using the Arm v8-M instruction set to illustrate how assembly code for the most modern Arm processors is written.

Fundamentals and Techniques

ARM Assembly Language

From First Script to Full Website—Fast! Tired of cobbling together PHP solutions from scattered online tutorials? Frustrated by outdated PHP practices that leave your code vulnerable and hard to maintain? Whether you’re building your first dynamic website or modernizing legacy systems, PHP Crash Course gives you a complete, practical foundation for writing professional web applications. In this comprehensive, example-driven guide, you’ll learn how to: <ul><li>Write clean, maintainable PHP code using modern language features and best practices</li><li>Build secure web applications that protect against common vulnerabilities</li><li>Master database integration using PDO and object-relational mappings (ORMs)</li><li>Implement professional features like shopping carts and user authentication</li><li>Structure applications using object-oriented programming and model-view-controller (MVC) patterns</li><li>Leverage powerful tools like Composer and Twig to accelerate development </li></ul> Starting with PHP fundamentals, you’ll progress through six carefully crafted sections covering essential patterns, security best practices, database integration, and advanced concepts like object-oriented programming. Each chapter builds on real-world examples, giving you the skills to solve common development challenges. Whether you’re a complete beginner or an experienced developer looking to modernize your PHP skills, PHP Crash Course gives you everything you need to build professional, dynamic websites with confidence. Includes setup instructions for Windows, macOS, and Linux, and configuration details for Replit, the free online development environment.

The Complete, Modern, Hands-On Guide

PHP Crash Course

Unlock the power of Oracle Database 23AI and Autonomous Database Serverless (ADB-S) with this comprehensive guide to the latest innovations in performance, security, automation, and AI-driven optimization. As enterprises embrace intelligent and autonomous data platforms, understanding these capabilities is essential for data architects, developers, and DBAs.

Explore cutting-edge features such as vector data types and AI-powered vector search, revolutionizing data retrieval in modern AI applications. Learn how schema privileges and the DB_DEVELOPER_ROLE simplify access control in multi-tenant environments. Dive into advanced auditing, SQL Firewall, and data integrity constraints to strengthen security and compliance.

Discover AI-driven advancements like machine learning-based query execution, customer retention prediction, and AI-powered query tuning. Additional chapters cover innovations in JSON, XML, JSON-Relational Duality Views, new indexing techniques, SQL property graphs, materialized views, partitioning, lock-free transactions, JavaScript stored procedures, blockchain tables, and automated bigfile tablespace shrinking.

What sets this book apart is its practical focus—each chapter includes real-world case studies and executable scripts, enabling professionals to implement these features effectively in enterprise environments. Whether you're optimizing performance or aligning IT with business goals, this guide is your key to building scalable, secure, and AI-powered solutions with Oracle 23AI and ADB-S.

What You Will Learn

Explore Oracle 23AI's latest features through real-world use cases

Implement AI/ML-driven optimizations for smarter, autonomous database performance

Gain hands-on experience with executable scripts and practical coding examples

Strengthen security and compliance using advanced auditing, SQL Firewall, and blockchain tables

Master high-performance techniques for query tuning, in-memory processing, and scalability

Revolutionize data access with AI-powered vector search in modern AI workloads

Simplify user access in multi-tenant environments using schema privileges and DB_DEVELOPER_ROLE

Model and query complex data using JSON-Relational Duality Views and SQL property graphs




Who this Book is For

Database architects, data engineers, Oracle developers, and IT professionals seeking to leverage Oracle 23AI’s latest features for real-world applications

Exploring New Features with Hands-On Case Studies

Oracle 23ai & ADBS in Action

In a world shaped by interconnected systems and global challenges, this third and final volume of the trilogy explores how digital technologies can foster ethical engagement at the societal level. Grounded in design science and fuzzy logic, it investigates how scalable, sustainable frameworks can support democratic participation, environmental responsibility, and public trust. The book offers a vision for how information systems can mediate complex societal interactions while preserving human values.
Volume III addresses the societal dimension of the honorable merchant, applying ethical principles to broader systems involving politics, the public, and the environment. Drawing from interdisciplinary applications in business informatics, computer science, and engineering, it explores fuzzy approaches to conversational agents, smart logistics, participatory governance, voting advice systems, privacy calculus, and spatial modeling. A concluding framework for responsible action emphasizes ethical engagement in technologically mediated societal interactions.
This textbook trilogy is primarily intended for students of computer science, business information systems, and innovation management who aspire to make a meaningful impact. It will also appeal to managers who value balanced perspectives and data-driven analysis.
&nbsp;

Fuzzy Sets and Systems III

Legal Risks in the Software Development Lifecycle addresses the growing complexity of software development as both a technical and legal discipline. As the digital economy expands, software has become a core infrastructure asset whose lifecycle demands rigorous and enforceable contractual governance. This book analyses how legal risks arise and evolve across the Software Development Lifecycle (SDLC), providing a systematic account of the planning, delivery, and long-term maintenance of software projects.The book takes readers through the entire SDLC, explaining each phase's technical purpose, the role and obligations of the parties involved, and the contractual documentation required to secure compliance and accountability. At every stage, it identifies the principal legal risks and demonstrates how they can be prevented through careful planning, well-defined deliverables, and tailored contractual provisions. Rather than focusing on litigation outcomes, the book emphasizes preventive strategies, providing readers with a structured roadmap to anticipate disputes before they arise. Sample clauses and checklists are included to highlight practical solutions, but the core value lies in its systematic explanation of processes, responsibilities, and risk-management mechanisms. Covering major contractual models such as Fixed-Price, Time &amp; Material, Agile, Hybrid, and Milestone-based agreements, it highlights their advantages, limitations, and common points of dispute, while offering strategies to structure payments, allocate intellectual property rights, and manage scope changes effectively.The book's approach is multidisciplinary. It is written for lawyers and legal advisors seeking to understand technical processes and draft precise, enforceable agreements; for project managers and clients who need to anticipate and manage contractual obligations; for software developers and vendors who want to align deliverables with contract terms and regulatory requirements; for judges, arbitrators, and mediators resolving IT-related disputes; and for students and researchers in law, technology and business, seeking a bridge between theory and practice.

Legal Risks in the Software Development Lifecycle

A one-stop-shop for all the math you should have learned for your programming career. Every great programming challenge has mathematical principles at its heart. Whether you’re optimizing search algorithms, building physics engines for games, or training neural networks, success depends on your grasp of core mathematical concepts.&nbsp; In Math for Programming, you’ll master the essential mathematics that will take you from basic coding to serious software development. You’ll discover how vectors and matrices give you the power to handle complex data, how calculus drives optimization and machine learning, and how graph theory leads to advanced search algorithms. Through clear explanations and practical examples, you’ll learn to: <ul><li>Harness linear algebra to manipulate data with unprecedented efficiency</li><li>Apply calculus concepts to optimize algorithms and drive simulations</li><li>Use probability and statistics to model uncertainty and analyze data</li><li>Master the discrete mathematics that powers&nbsp;modern data structures</li><li>Solve dynamic problems through differential equations</li></ul> Whether you’re seeking to fill gaps in your mathematical foundation or looking to refresh your understanding of core concepts, Math for Programming will turn complex math into a practical tool you’ll use every day.

Math for Programming

The knowledge and skills of data analytics enable business professionals to make evidence-based decisions rather than just by intuition. To appreciate the knowledge and skills, one needs to understand the theory, hands-on statistical operations using computer software, business application case studies and the analytics project maturity roadmap.Hands-on Data Analytics for Business is a concise all-in-one analytics textbook for business professionals and university students who want to:<ul> <li>Understand the essential theories and concepts of data analytics</li> <li>Grasp hands-on practical statistical and analytics skills step-by-step using SPSS and Excel</li> <li>Appreciate real-world well-known case studies in human resources, marketing and supply chain on how data analytics is applied in business.</li> </ul>This book is for business professionals or university students seeking to master data analytics knowledge and technical skills to a level allowing them to practice data analytics hands-on and manage data analytics projects at scale. For business professionals, the book is written in a way to help learn statistical skills in a concise way with practical real-world examples to inspire business applications. For students, this book is organized in a sequence readily deliverable for a university course, with classes combining theory or concepts, hands-on practice and case studies. For all readers, the book is an essential guide on using data analytics to tackle modern complex activities for companies to gain a competitive edge.

Hands-on Data Analytics for Business

This textbook provides a comprehensive and well-structured introduction to the fundamentals, principles, and techniques of requirements engineering (RE). It presents approved techniques for eliciting, negotiating, and documenting as well as validating, and managing requirements for software systems. The various aspects of RE are illustrated using numerous examples based on extensive teaching experience and industrial collaborations.&nbsp;The book is structured in five parts. Part I “Fundamentals and Framework” provides a comprehensive introduction to the fundamentals of RE, illustrates why RE is a critical success factor for any software development project, and describes different ways of implementing RE in organisations and its role in different software engineering process models. Part II “Requirements Engineering Context” explains the essential role and influence of the RE context on system requirements, defines basic terms, and introduces eight context perspectives to support context consideration during RE. Part III “Core Activities” describes the requirements elicitation, documentation, and negotiation activities. Part IV “Requirements Artefacts” introduces goals, scenarios, and solution-oriented requirements as key requirements artefacts. Eventually, Part V “Cross-Sectional Activities” details three validation and three management activities. This second edition of Pohl’s widely used and trusted textbook provides a considerable number of updates, places a stronger focus on the consideration of the context, puts a stronger emphasis on conflict resolution, and includes new, expanded and revised techniques.The presentation aims at professionals, students, and lecturers in systems and software engineering or business applications development. Professionals such as requirements engineers, project managers, software architects, systems analysts, and software engineers will benefit in their daily work from the didactically well-presented combination of validated procedures and industrial experience. Students and lecturers will appreciate the comprehensive description of sound fundamentals, principles, and techniques, which is completed by a huge, commented list of references for further reading. Lecturers will find additional teaching material on the book’s website, www.requirements-book.com.

Fundamentals, Principles, and Techniques

Requirements Engineering

Learn how to integrate model-based systems engineering (MBSE) with mission-driven requirements to create a connected framework that delivers reliable solutions designed with key objectives. This book uses real-world examples to demonstrate how clear requirements and smart modeling lead to systems that work better, cost less to fix, and meet their goals the first time.
Author, Air Force veteran, and Chief Systems Engineer Dennis Hansen draws on 60 years of experience managing full system lifecycles across military, government, and private sectors. This foundation drives a practical approach to understanding how design and operations drive engineering success. First, learn the end-user definition of the system function (i.e., the mission), before identifying capabilities needed to perform this function. The book then explains the transition from capabilities to activities and functional model views, and the associated requirement definitions. From there, you will learn how modeling can shift from architecture to SysML design views, continuing with both model and requirement definitions. Finally, you’ll discover how models can be used to aid generation and refinement of test plans and procedures as the system evolves, and how these models support ongoing system sustainment and improvement.
Throughout, you’ll encounter practical examples and diagrams to illustrate how to connect key concepts. This book fills a gap left by other books that treat requirements and models separately, showing how tying them to mission goals leads to better results. Practical guidance covers incorporating security early, using proven standards like NIST 800-53, and applying frameworks such as DoDAF or SysML. Additionally, each chapter includes a guide and Agile planning tips to help you apply these concepts step by step.
What You Will Learn: 

Define the mission to establish a clear system purpose.

Identify the capabilities needed to achieve the mission.

Develop architecture and requirements that deliver these capabilities through detailed activities

Apply Agile scheduling to organize development activities.



Who This Book is for:
Intermediate-level system engineers, software engineers and management, particularly in, but not limited to, government agencies.

Achieving a Uniform Management and Engineering System View

Model-Based Systems Engineering and Requirements Definition

HTML Mastery

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