Computer Concepts and Management Information Systems. A Comprehensive Guide to Modern Computing and Information Management

Mercury Learning and Information, C. P. Gupta, K. K. Goyal

This book provides a self-teaching introduction to computer fundamentals and management information systems (MIS). It covers hardware components, software applications, Microsoft Office, information systems, ERP, CRM, security, business ethics, and cybercrime. The goal is to make these complex subjects accessible and easy to understand.The course begins with basic computer concepts, followed by an introduction to software. It then offers detailed information on Microsoft Office, covering Excel, Word, PowerPoint, and Access. The journey continues with a deep dive into MIS, exploring its applications, ERP systems, security measures, business ethics, and the challenges of cybercrime.Understanding these concepts is crucial for navigating the digital world and leveraging technology in business. This book transitions readers from beginners to knowledgeable users, blending theoretical insights with practical skills. Companion files with source code examples and figures enhance the learning experience, making this book an invaluable resource for mastering computers and MIS.

Artificial Intelligence and Expert Systems. Techniques and Applications for Problem Solving

Mercury Learning and Information, I. Gupta, G. Nagpal

This book covers current AI applications and techniques for solving problems and accomplishing tasks. It introduces branches of AI such as formal logic, reasoning, knowledge engineering, expert systems, neural networks, and fuzzy logic. It emphasizes expert systems, with sections on state space search, knowledge engineering, neural networks, fuzzy logic, and Prolog.It begins with an introduction to AI and its applications, setting the stage for foundational concepts. Readers are guided through state space search and heuristic search strategies, crucial for problem-solving in AI. The focus shifts to expert systems, covering their development life cycle, knowledge acquisition, and representation, providing a deep dive into emulating human decision-making.Later chapters cover neural networks and the learning process, essential for creating adaptive systems. Sections on fuzzy logic and fuzzy systems introduce methods for handling uncertainty in AI. Final chapters on programming in logic and advanced Prolog offer practical techniques for AI solutions. This approach equips readers with the skills to apply AI in various domains, enhancing their problem-solving abilities and understanding of intelligent systems.

Game Testing. Mastering the Art of Quality Assurance in Game Development

Mercury Learning and Information, Robert Denton Bryant

This updated fourth edition is your comprehensive guide to video game testing. Whether you're a student aspiring to join the industry or a professional honing your skills, this book covers essential aspects of game testing. It explains how testers fit into development and provides practical knowledge of tools, roles, responsibilities, and metrics for game quality.The book guides you through test design and QA methods using real game scenarios and interviews with veteran developers. You'll learn the basics of game testing, writing bug reports, and defect tracking. The chapters cover exploratory testing, gameplay testing, combinatorial testing, and regression testing.Each chapter includes questions and exercises, suitable for classroom or personal study. Companion files with templates and tutorials for creating combinatorial tables and test flow diagrams are included, forming the basis of a robust QA plan. This edition equips you with the skills to succeed in game testing and contribute effectively to any development team.

Python. An Introduction to Python Programming

Mercury Learning and Information, James R. Parker

This book introduces programming concepts using Python 3, designed for beginners and hobbyists with no prior programming experience. It covers loops, strings, functions, files, graphics, multimedia, algorithms, classes, and more. Many examples are based on video game development, making learning engaging and practical. The book uses a just-in-time presentation style, providing material when it's needed, and includes companion files with source code, exercises, projects, and figures.The course starts with an overview of modern computers and basic programming concepts. It progresses through topics like repetition, sequences, functions, file input/output, classes, graphics, data manipulation, and multimedia. The latter chapters focus on basic algorithms, programming for the sciences, writing good programs, parsing, and communicating using graphics and Pygame.By the end of the course, students will have a solid understanding of programming fundamentals, enhanced by practical applications in video game development. This approach not only makes learning enjoyable but also equips students with the skills needed for further studies in computer science and programming.

Using AI in Marketing. Harness AI technologies to transform marketing strategies and results

Mercury Learning and Information, Greg Kihlström

Artificial Intelligence is reshaping the marketing landscape. This book begins with a foundational overview of AI and its history, establishing the importance of AI in modern marketing practices. Readers will gain insights into the integration of AI with marketing fundamentals, paving the way for strategic advancements.Delving deeper, the book explores current applications of AI, from data analytics to campaign automation, and personalized customer experiences. With chapters dedicated to generative AI, prompt optimization, and team augmentation, the book provides actionable insights and case studies to guide readers through real-world usage.As the journey concludes, readers are equipped with an understanding of AI's transformative impact, ethical considerations, and strategies for adoption. This book ensures that marketers are ready to embrace AI, optimize their workflows, and make informed investment decisions for future growth.

Mathematics for Business Analysis. Comprehensive Mathematical Techniques and Applications for Business

Mercury Learning and Information, Paul Turner, Justine Wood

This book is designed for students, faculty, and professionals, describing the role of mathematics in economics and business. Starting with the basics of numbers and advancing into complex topics like hyperreal numbers and set theory, the book builds a strong foundation of mathematical concepts. Python code is used throughout to illustrate problems numerically, making the material accessible and practical.Readers will learn about linear simultaneous equations for market equilibrium analysis and the mechanics of matrices for solving larger systems. The book covers calculus, with applications in economics, including profit maximization and factor optimization, and introduces infinitesimal methods. Chapters on differential and difference equations reveal their importance in analyzing dynamic systems, all illuminated through practical examples and images from economics and business.The course begins with fundamental mathematical concepts, advancing to complex applications in economics and business. By integrating computational understanding with Python code, the book ensures learners can tackle real-world problems. This structured approach provides the tools needed for economic analysis and business decision-making, making it an invaluable resource for anyone in these fields.

Market Research and Analysis. Mastering Market Research: Advanced Methods, Design, and Data Analysis

Mercury Learning and Information, Marcus Goncalves

This book offers an in-depth exploration of market research and analysis, guiding readers through the entire process from defining research objectives to communicating results. Begin by understanding the purpose and ethics of market research, laying a strong groundwork for your studies. Progress to defining precise research objectives and exploring secondary research methods to gather existing information.Next, engage with primary research methods, focusing on both quantitative and qualitative approaches. Learn how to develop and distribute surveys, choose the right sampling techniques, and utilize tools for data mining and web scraping. Gain insights into focus groups and observation studies, understanding how these qualitative methods can provide depth to your research.Finally, master the art of data analysis and result communication. Explore descriptive statistics, hypothesis testing, and inferential statistics to make sense of your data. Learn to effectively present your findings to stakeholders, ensuring your research translates into actionable insights. By the end of the course, you will be well-equipped to conduct thorough market research and communicate your results effectively.

Big Data Using Hadoop and Hive. Master Big Data Solutions with Hadoop and Hive

Mercury Learning and Information, Nitin Kumar

This book is a guide for developers and engineers to use Hadoop and Hive for scalable big data applications. It covers reading, writing, and managing large datasets with Hive and provides a concise introduction to Apache Hadoop and Hive, detailing their collaboration to simplify development. Through clear examples, the book explains the logic, code, and configurations needed for building successful distributed applications.The course starts with an introduction to big data and Apache Hadoop fundamentals. It then covers the Hadoop Distributed Filesystem and how to get started with Hadoop. The journey continues with interfaces to access HDFS files, resource management with Yet Another Resource Negotiator, and MapReduce for data processing. The book also explores Hive architecture, storage types, and the Hive query language.Mastering these concepts is vital for creating scalable big data solutions. This book ensures a smooth transition from novice to proficient Hadoop and Hive user, providing practical skills and comprehensive knowledge. By the end, readers will be able to set up, configure, and optimize Hadoop, utilize Hive for data management, and effectively solve big data challenges.

Data Literacy With Python. A Comprehensive Guide to Understanding and Analyzing Data with Python

Mercury Learning and Information, Oswald Campesato

This book ushers readers into the world of data, emphasizing its importance in modern industries and how its management leads to insightful decision-making. Using Python 3, the book introduces foundational data tasks and progresses to advanced model training concepts. Detailed, step-by-step Python examples help readers master training models, starting with the kNN algorithm and moving to other classifiers with minimal code adjustments. Tools like Sweetviz, Skimpy, Matplotlib, and Seaborn are introduced for hands-on chart and graph rendering.The course begins with working with data, detecting outliers and anomalies, and cleaning datasets. It then introduces statistics and progresses to using Matplotlib and Seaborn for data visualization. Each chapter builds on the previous one, ensuring a comprehensive understanding of data management and analysis.These concepts are crucial for making data-driven decisions. This book transitions readers from basic data handling to advanced model training, blending theoretical knowledge with practical skills. Companion files with source code and data sets enhance the learning experience, making this book an invaluable resource for mastering data science with Python.

Optimization Using Linear Programming. A Practical Guide to Mastering Linear Programming Techniques

Mercury Learning and Information, A. J. Metei, Veena Jain

This book is designed for engineers, mathematicians, computer scientists, financial analysts, and anyone interested in using numerical linear algebra, matrix theory, and game theory to solve applied problems efficiently. It emphasizes solving linear programming problems with software like MS-Excel, Mathematica, MATLAB, WinQSB, and LINDO, while providing the necessary definitions and theorems for mastering theoretical aspects.The journey begins with basics of linear algebra using MS-Excel, followed by an introduction to linear programming problems and the graphical method. It then delves into the simplex method, duality, and sensitivity analysis. The course covers transportation, transshipment, assignment problems, and concludes with game theory. Each chapter builds on the previous one, ensuring a comprehensive understanding of the topics.Understanding these concepts is crucial for solving complex applied problems. This book transitions readers from basic to advanced techniques in numerical linear algebra and linear programming, combining theoretical knowledge with practical applications. It is an essential resource for mastering these topics and maximizing efficiency in problem-solving.

Artificial Intelligence Basics. A Self-Teaching Introduction

Mercury Learning and Information, N. Gupta, R. Mangla

This book is designed as a self-teaching introduction to the fundamental concepts of artificial intelligence (AI). It begins with the history of AI, the Turing test, and early applications, providing a strong foundation. Later chapters cover the basics of searching, game playing, and knowledge representation. The journey continues with detailed explorations of expert systems and machine learning, equipping readers with essential AI techniques.As the course progresses, you will delve into separate programming chapters on Prolog and Python, learning how to implement AI concepts in these languages. These chapters offer practical coding experience, enhancing your understanding of AI programming. The book culminates with a comprehensive chapter on AI machines and robotics, showcasing numerous modern applications and providing a glimpse into the future of AI technology.Understanding these AI concepts is crucial as they form the basis of many modern technologies and applications. This book ensures a smooth transition from a beginner to a proficient AI practitioner, equipped with both theoretical knowledge and practical skills. By the end of the book, you will have a thorough understanding of AI's history, core principles, and practical implementations, ready to apply this knowledge to real-world problems and projects.

Fintech Fundamentals. Understanding Emerging Technologies and Their Impact on Modern Industries

Mercury Learning and Information, Len Mei

This book explores the digital technologies essential for building the new digital economy. It delves into concepts such as cloud and edge computing, 5G telecommunication, blockchain, big data, and AI, explaining how these technologies enable the digital economy. It also examines the impact of financial technology on both traditional and emerging industries, providing a comprehensive introduction for those interested in further research on these subjects.The course begins with an introduction to the digital economy, followed by detailed discussions on various foundational technologies. Topics such as cloud and edge computing, 5G, blockchain, and AI are covered, highlighting their roles in the digital economy. The book also addresses the transformation of financial services and the impact of fintech on various industries, offering a broad understanding of the current and future landscape.Designed for professionals and researchers, this book equips readers with the knowledge to understand and engage with the digital economy. It provides a solid foundation for further exploration, making it an essential resource for those looking to navigate and contribute to the evolving digital world.

Computer Graphics Programming in OpenGL with Java. A Comprehensive Guide to Modern 3D Graphics Programming

Mercury Learning and Information, V. Scott Gordon, John L. Clevenger

This book is designed for computer science undergraduates and professionals interested in mastering 3D graphics using OpenGL in Java with JOGL. It follows a “teach-yourself” format with numerous examples that can be run as presented. Unique in its approach, it covers OpenGL 4.0+ shader programming using Java, providing all the necessary materials to install JOGL and execute every example. The course starts with an introduction to OpenGL and the graphics pipeline, followed by mathematical foundations essential for 3D graphics. It then delves into managing 3D graphics data, texture mapping, and creating 3D models. Lighting, shadows, and enhancing surface detail are covered, along with advanced techniques like parametric surfaces, tessellation, and geometry shaders. The final chapters explore simulating water, ray tracing, and stereoscopy for 3D glasses and VR headsets. This book equips readers with comprehensive skills in OpenGL programming and 3D graphics, making it an invaluable resource for developing sophisticated graphics applications. The practical approach ensures thorough learning, bridging the gap between theory and application.

AI in Digital Marketing. Harnessing AI tools to revolutionize digital marketing strategies

Mercury Learning and Information, Maria Johnsen

Artificial Intelligence is transforming the digital marketing landscape, offering innovative solutions for personalization, automation, and efficiency. This comprehensive guide explores AI's impact on digital marketing, focusing on data-driven insights, predictive analytics, and customer engagement strategies. It empowers marketers to understand and leverage AI's potential in crafting targeted campaigns and optimizing workflows.Readers will explore essential topics like machine learning, natural language processing, and sentiment analysis, all tailored for marketing applications. Practical insights on SEO, content creation, and social media listening are combined with advanced concepts such as programmatic advertising, AI-powered customer support, and marketing automation. The book ensures a balance between foundational knowledge and actionable strategies.This resource equips digital marketers, strategists, and analysts to adopt emerging trends, drive measurable results, and maintain a competitive edge in the AI-driven marketing ecosystem. It is the perfect companion for professionals seeking to enhance their skills and harness the power of AI in their digital marketing efforts.

Enterprise Transformation to Artificial Intelligence and the Metaverse. Strategies for the Technology Revolution: Navigating Future Technologies with Agility and Innovation

Mercury Learning and Information, William Kimmerly

This book guides organizations in effectively responding to the metaverse, a rapidly converging collection of advanced technologies, methods, and models. The metaverse is poised to be as disruptive as the personal computer, Internet, and smartphone, impacting personal, social, professional, and business lives. The book covers essential metaverse technologies and concepts, helping organizational leaders plan their transformation strategies.The journey begins with an introduction and key definitions, followed by the evolution of IT governance and responses to disruptive technologies. It delves into AI, machine learning, blockchain, platforms, algorithms, edge computing, quantum computing, and immersive technologies like VR, AR, MR, and XR. Further chapters explore holographic technologies, deep tech, and other metaverse-related technologies, along with organizational structures and governance frameworks for the metaverse era.Understanding these concepts is crucial for navigating the metaverse transformation. The book concludes with a detailed hypothetical case study, illustrating how such a transformation can be achieved. This resource helps executives and professionals chart an effective course to the metaverse, blending theoretical insights with practical applications.

Access 2021 / Microsoft 365 Programming by Example. Mastering VBA for Data Management and Automation

Mercury Learning and Information, Julitta Korol

Updated for Access 2021 and based on bestselling editions, this book is a practical guide on Access programming, perfect for users proficient with the Access UI. It introduces programming concepts through illustrated hands-on exercises and custom projects. You will learn to write and test code with the Visual Basic Editor, use VBA structures like conditions, loops, arrays, collections, and dictionaries, and reprogram database characteristics.The book covers building database solutions with Data Access Objects (DAO) and ActiveX Data Objects (ADO), defining database objects, and managing database security with SQL. It explores enhancing user interaction with Ribbon customizations and event programming in forms and reports. Additionally, you'll learn to use Access with XML and REST API.From getting started with Access VBA to advanced event programming and macros, this book ensures a comprehensive understanding of Access programming. It transitions readers from basic to advanced topics, equipping them with the knowledge and tools to automate Access routine tasks effectively.