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Introduction to Stochastic Processes Using R
by Shailaja Deshmukh Sivaprasad MadhiraThis textbook presents some basic stochastic processes, mainly Markov processes. It begins with a brief introduction to the framework of stochastic processes followed by the thorough discussion on Markov chains, which is the simplest and the most important class of stochastic processes. The book then elaborates the theory of Markov chains in detail including classification of states, the first passage distribution, the concept of periodicity and the limiting behaviour of a Markov chain in terms of associated stationary and long run distributions. The book first illustrates the theory for some typical Markov chains, such as random walk, gambler's ruin problem, Ehrenfest model and Bienayme-Galton-Watson branching process; and then extends the discussion when time parameter is continuous. It presents some important examples of a continuous time Markov chain, which include Poisson process, birth process, death process, birth and death processes and their variations. These processes play a fundamental role in the theory and applications in queuing and inventory models, population growth, epidemiology and engineering systems. The book studies in detail the Poisson process, which is the most frequently applied stochastic process in a variety of fields, with its extension to a renewal process. The book also presents important basic concepts on Brownian motion process, a stochastic process of historic importance. It covers its few extensions and variations, such as Brownian bridge, geometric Brownian motion process, which have applications in finance, stock markets, inventory etc. The book is designed primarily to serve as a textbook for a one semester introductory course in stochastic processes, in a post-graduate program, such as Statistics, Mathematics, Data Science and Finance. It can also be used for relevant courses in other disciplines. Additionally, it provides sufficient background material for studying inference in stochastic processes. The book thus fulfils the need of a concise but clear and student-friendly introduction to various types of stochastic processes.
Introduction to Stochastic Processes and Simulation
by Gerard-Michel CochardMastering chance has, for a long time, been a preoccupation of mathematical research. Today, we possess a predictive approach to the evolution of systems based on the theory of probabilities. Even so, uncovering this subject is sometimes complex, because it necessitates a good knowledge of the underlying mathematics. This book offers an introduction to the processes linked to the fluctuations in chance and the use of numerical methods to approach solutions that are difficult to obtain through an analytical approach. It takes classic examples of inventory and queueing management, and addresses more diverse subjects such as equipment reliability, genetics, population dynamics, physics and even market finance. It is addressed to those at Master's level, at university, engineering school or management school, but also to an audience of those in continuing education, in order that they may discover the vast field of decision support.
Introduction to Supply Chain Analytics: With Examples in AnyLogic and anyLogistix Software (Classroom Companion: Business)
by Dmitry IvanovThe book offers a concise yet comprehensive introduction to supply chain analytics covering management, modeling, and technology perspectives. Designed to accompany the textbook “Global Supply Chain and Operations Management”, it addresses the topics of supply chain analytics in more depth. The book describes descriptive, predictive, and prescriptive supply chain analytics explaining methodologies, illustrating method applications with the use of training exercises, and providing numerous examples in AnyLogic and anyLogistix software. Throughout the book, numerous practical examples and short case studies are given to illustrate theoretical concepts. Along with AnyLogic and anyLogistix model development guidelines and examples, the book has two other distinct features. First, it reviews and explains novel frameworks and concepts related to data-driven decision-making and digital twins. Second, it shows how to use analytics to improve supply chain resilience.Without relying heavily on mathematical derivations, the book offers a structured presentation and explanation of major supply chain analytics techniques and principles in a simple, predictable format to make it easy to understand for students and professionals with both management and engineering backgrounds. Graduate/Ph.D. students and supply chain professionals alike would benefit from a structured and didactically-oriented concise presentation of the concepts, principles, and methods of supply chain analytics. Providing graduate students and supply chain managers with working knowledge of basic and advanced supply chain analytics, this book contributes to improving knowledge-awareness of decision-making in increasingly data-driven and digital environments. The book is supplemented by a companion website offering interactive exercises with the use of AnyLogic and anyLogistix software as well as Spreadsheet Modeling.
Introduction to Supply Chain Management Technologies (Resource Management)
by David Frederick Ross Frederick S. Weston Stephen W.It is almost impossible to conceive of the concept and practical application of supply chain management (SCM) without linking it to the enabling power of today‘s information technologies. Building upon the foundations of the first edition, Introduction to Supply Chain Management Technologies, Second Edition details the software toolsets and suites
Introduction to Surgical Trials
by Norimasa Nakamura Olufemi R. Ayeni Jón Karlsson Jason L. Koh Stephen LymanFilling a gap in literature, this book examines surgical trials with a special focus on the underlying principles, challenges, and best practices to successfully conduct rigorous surgical research.While randomized controlled trials (RCTs) remain the gold standard for evaluation of the safety and efficacy of most medical interventions, they are particularly difficult to implement successfully in the context of surgery. As a result, recruitment rates are often extremely low, crossover from non-operative to operative is common, and patients randomly allocated to surgery often simply decline to have the procedure. All of these challenges call into question the recent generalizability and fundamental quality of traditional surgical RCTs. As such, this book explores advanced alternative trial design methods and describes the current regulatory environment around the world. Designed as a practical guide, it is a valuable tool for surgeons, epidemiologist and biostatisticians involved in this challenging field.
Introduction to SystemVerilog
by Ashok B. MehtaThis book provides a hands-on, application-oriented guide to the entire IEEE standard 1800 SystemVerilog language. Readers will benefit from the step-by-step approach to learning the language and methodology nuances, which will enable them to design and verify complex ASIC/SoC and CPU chips. The author covers the entire spectrum of the language, including random constraints, SystemVerilog Assertions, Functional Coverage, Class, checkers, interfaces, and Data Types, among other features of the language. Written by an experienced, professional end-user of ASIC/SoC/CPU and FPGA designs, this book explains each concept with easy to understand examples, simulation logs and applications derived from real projects. Readers will be empowered to tackle the complex task of multi-million gate ASIC designs.Provides comprehensive coverage of the entire IEEE standard SystemVerilog language;Covers important topics such as constrained random verification, SystemVerilog Class, Assertions, Functional coverage, data types, checkers, interfaces, processes and procedures, among other language features;Uses easy to understand examples and simulation logs; examples are simulatable and will be provided online;Written by an experienced, professional end-user of ASIC/SoC/CPU and FPGA designs.This is quite a comprehensive work. It must have taken a long time to write it. I really like that the author has taken apart each of the SystemVerilog constructs and talks about them in great detail, including example code and simulation logs. For example, there is a chapter dedicated to arrays, and another dedicated to queues - that is great to have! The Language Reference Manual (LRM) is quite dense and difficult to use as a text for learning the language. This book explains semantics at a level of detail that is not possible in an LRM. This is the strength of the book. This will be an excellent book for novice users and as a handy reference for experienced programmers. Mark GlasserCerebras Systems
Introduction to Systems Thinking and Interdisciplinary Engineering (Synthesis Lectures on Engineering, Science, and Technology)
by Horst CzichosThis concise textbook introduces a systems approach to technology, describing tribological, mechatronic, cyber-physical systems, and the technologic concept of Industry 4.0 to students in a range of engineering domains. “Technology” in this book refers to the totality of human-made, benefit-oriented products, based on engineered combinations of material, energy and information. Dr. Czichos examines technology in this volume in the context of systems thinking with regard to the following main technology areasTechnical systems with “interacting surfaces in relative motion” especially in mechanical engineering, production, and transport; including the analysis of friction-induced energy losses and wear-induced materials dissipation. Technical systems that require a combination of mechanics, electronics, controls, and computer engineering for needs of industry and society. Technical systems with a combination of mechatronics and internet communication. Cyber-physical Systems for the digitalization of Industry in the development project Industry 4.0.Considers technology as combination of the physical world and the digital virtual world of information and communication.Describes the product cycle of technical systems and the corner stones of technology: material, energy and information.Presents a holistic view of technology and engineering.
Introduction to Teaching with Webex
by M. JaneLearn to take your classroom curriculum digital using Cisco Webex&’s unique video conferencing features to create engaging lessons, collaborative activities, and more. Introduction to Teaching with Webex will help teachers of all grade levels master the basics of communication and education using the Cisco Webex video conferencing service. Learn how to connect with students, record your Webex meetings, control access to lessons, contribute to live chat streams, and conduct webinars. Webex newbie? No worries! Experienced educator and author M. Jane takes readers step-by-step through the most common Webex features and terminology. Packed with tips, tricks, troubleshooting, helpful screenshots, and activity ideas to keep students of all ages engaged, this book is indispensable as the future of teaching continues to evolve.
Introduction to Teaching with Zoom
by Madison SaltersA guide to using Zoom&’s unique video conferencing features to connect with students—and make learning more limitless. Introduction to Teaching with Zoom helps teachers of all grade levels master the basics of communication and education using the Zoom video conferencing service. With step-by-step instructions paired with helpful screenshots, you can learn how to connect with students, record your Zoom meetings, control access to lessons, contribute to live chat streams, and conduct webinars. Zoom newbie? No worries! Madison Salters takes you through the most common Zoom features and terminology. Whether public grade schools have been temporarily closed, or colleges and universities are looking to invest in distance learning, teachers need to be armed and ready to do what they do best no matter the platform. Packed with tips, tricks, troubleshooting, and lesson plans to keep students of all ages engaged, this book is indispensable as the future of teaching continues to evolve.
Introduction to Theory of Control in Organizations (Systems Evaluation, Prediction, and Decision-Making)
by Vladimir N. Burkov Mikhail Goubko Nikolay Korgin Dmitry NovikovIntroduction to Theory of Control in Organizations explains how methodologies from systems analysis and control theory, including game and graph theory, can be applied to improve organizational management. The theory presented extends the traditional approach to management science by introducing the optimization and game-theoretical tools required
Introduction to Time Series Modeling with Applications in R (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
by Genshiro KitagawaPraise for the first edition: [This book] reflects the extensive experience and significant contributions of the author to non-linear and non-Gaussian modeling. … [It] is a valuable book, especially with its broad and accessible introduction of models in the state-space framework. –Statistics in Medicine What distinguishes this book from comparable introductory texts is the use of state-space modeling. Along with this come a number of valuable tools for recursive filtering and smoothing, including the Kalman filter, as well as non-Gaussian and sequential Monte Carlo filters. –MAA Reviews Introduction to Time Series Modeling with Applications in R, Second Edition covers numerous stationary and nonstationary time series models and tools for estimating and utilizing them. The goal of this book is to enable readers to build their own models to understand, predict and master time series. The second edition makes it possible for readers to reproduce examples in this book by using the freely available R package TSSS to perform computations for their own real-world time series problems. This book employs the state-space model as a generic tool for time series modeling and presents the Kalman filter, the non-Gaussian filter and the particle filter as convenient tools for recursive estimation for state-space models. Further, it also takes a unified approach based on the entropy maximization principle and employs various methods of parameter estimation and model selection, including the least squares method, the maximum likelihood method, recursive estimation for state-space models and model selection by AIC. Along with the standard stationary time series models, such as the AR and ARMA models, the book also introduces nonstationary time series models such as the locally stationary AR model, the trend model, the seasonal adjustment model, the time-varying coefficient AR model and nonlinear non-Gaussian state-space models. About the Author: Genshiro Kitagawa is a project professor at the University of Tokyo, the former Director-General of the Institute of Statistical Mathematics, and the former President of the Research Organization of Information and Systems.
Introduction to Topological Quantum Computation
by Jiannis K. PachosCombining physics, mathematics and computer science, topological quantum computation is a rapidly expanding research area focused on the exploration of quantum evolutions that are immune to errors. In this book, the author presents a variety of different topics developed together for the first time, forming an excellent introduction to topological quantum computation. The makings of anyonic systems, their properties and their computational power are presented in a pedagogical way. Relevant calculations are fully explained, and numerous worked examples and exercises support and aid understanding. Special emphasis is given to the motivation and physical intuition behind every mathematical concept. Demystifying difficult topics by using accessible language, this book has broad appeal and is ideal for graduate students and researchers from various disciplines who want to get into this new and exciting research field.
Introduction to Topological Quantum Matter & Quantum Computation
by Tudor D. StanescuWhat is "topological" about topological quantum states? How many types of topological quantum phases are there? What is a zero-energy Majorana mode, how can it be realized in a solid-state system, and how can it be used as a platform for topological quantum computation? What is quantum computation and what makes it different from classical computation?Addressing these and other related questions, Introduction to Topological Quantum Matter & Quantum Computation provides an introduction to and a synthesis of a fascinating and rapidly expanding research field emerging at the crossroads of condensed matter physics, mathematics, and computer science. Providing the big picture and emphasizing two major new paradigms in condensed matter physics – quantum topology and quantum information – this book is ideal for graduate students and researchers entering this field, as it allows for the fruitful transfer of ideas amongst different areas, and includes many specific examples to help the reader understand abstract and sometimes challenging concepts. It explores the topological quantum world beyond the well-known topological insulators and superconductors and unveils the deep connections with quantum computation. It addresses key principles behind the classification of topological quantum phases and relevant mathematical concepts and discusses models of interacting and noninteracting topological systems, such as the toric code and the p-wave superconductor. The book also covers the basic properties of anyons, and aspects concerning the realization of topological states in solid state structures and cold atom systems.Topological quantum computation is also presented using a broad perspective, which includes elements of classical and quantum information theory, basic concepts in the theory of computation, such as computational models and computational complexity, examples of quantum algorithms, and key ideas underlying quantum computation with anyons. This new edition has been updated throughout, with exciting new discussions on crystalline topological phases, including higher-order topological insulators; gapless topological phases, including Weyl semimetals; periodically-driven topological insulators; and a discussion of axion electrodynamics in topological materials.Key Features:· Provides an accessible introduction to this exciting, cross-disciplinary area of research.· Fully updated throughout with new content on the latest result from the field.· Authored by an authority on the subject.Tudor Stanescu is a professor of Condensed Matter Theory at West Virginia University, USA. He received a B.S. in Physics from the University of Bucharest, Romania, in 1994 and a Ph.D. in Theoretical Physics from the University of Illinois at Urbana Champaign in 2002. He was a Postdoctoral Fellow at Rutgers University and at the University of Maryland from 2003 to 2009. He joined the Department of Physics and Astronomy at West Virginia University in Fall 2009. Prof. Stanescu’s research interests encompass a variety of topics in theoretical condensed matter physics including topological insulators and superconductors, topological quantum computation, ultra-cold atom systems in optical lattices, and strongly correlated materials, such as, for example, cuprate high-temperature superconductors. His research uses a combination of analytical and numerical tools and focuses on understanding the emergence of exotic states of matter in solid state and cold atom structures, for example, topological superconducting phases that host Majorana zero modes, and on investigating the possibilities of exploiting these states as physical platforms for quantum computation.
Introduction to Tornado: Modern Web Applications with Python
by Michael Dory Brendan Berg Allison ParrishWalk through the basics of Tornado, the high-performance web server known for its speed, simplicity, and scalability on projects large and small. With this hands-on guide, you’ll learn how to use Tornado’s acclaimed features by working with several example applications. You also get best practices for using Tornado in the real world.Are you interested in creating a scalable social application, real-time analytics engine, or RESTful API—all with the power and simplicity of Python? This book shows you why Tornado is fantastic choice for writing powerful applications that are simple to create, extend, and deploy.Learn how to use Tornado’s lightweight and flexible templating languageExtend templates to repurpose headers, footers, layout grids, and other contentUse persistent storage like MongoDB to store, serve, and edit dynamic contentExplore Tornado’s ability to make asynchronous web requestsSecure your application against cookie and request vulnerabilitiesAuthenticate with external services, using Tornado’s auth moduleAdopt deployment strategies that help harden your application and increase request throughput
Introduction to Transfer Learning: Algorithms and Practice (Machine Learning: Foundations, Methodologies, and Applications)
by Jindong Wang Yiqiang ChenTransfer learning is one of the most important technologies in the era of artificial intelligence and deep learning. It seeks to leverage existing knowledge by transferring it to another, new domain. Over the years, a number of relevant topics have attracted the interest of the research and application community: transfer learning, pre-training and fine-tuning, domain adaptation, domain generalization, and meta-learning. This book offers a comprehensive tutorial on an overview of transfer learning, introducing new researchers in this area to both classic and more recent algorithms. Most importantly, it takes a “student’s” perspective to introduce all the concepts, theories, algorithms, and applications, allowing readers to quickly and easily enter this area. Accompanying the book, detailed code implementations are provided to better illustrate the core ideas of several important algorithms, presenting good examples for practice.
Introduction to Transformers for NLP: With the Hugging Face Library and Models to Solve Problems
by Shashank Mohan JainGet a hands-on introduction to Transformer architecture using the Hugging Face library. This book explains how Transformers are changing the AI domain, particularly in the area of natural language processing. This book covers Transformer architecture and its relevance in natural language processing (NLP). It starts with an introduction to NLP and a progression of language models from n-grams to a Transformer-based architecture. Next, it offers some basic Transformers examples using the Google colab engine. Then, it introduces the Hugging Face ecosystem and the different libraries and models provided by it. Moving forward, it explains language models such as Google BERT with some examples before providing a deep dive into Hugging Face API using different language models to address tasks such as sentence classification, sentiment analysis, summarization, and text generation. After completing Introduction to Transformers for NLP, you will understand Transformer concepts and be able to solve problems using the Hugging Face library.What You Will LearnUnderstand language models and their importance in NLP and NLU (Natural Language Understanding)Master Transformer architecture through practical examplesUse the Hugging Face library in Transformer-based language modelsCreate a simple code generator in Python based on Transformer architectureWho This Book Is ForData Scientists and software developers interested in developing their skills in NLP and NLU (Natural Language Understanding)
Introduction to Ultra-Wideband Radar Systems
by James D. TaylorThis introductory reference covers the technology and concepts of ultra-wideband (UWB) radar systems. It provides up-to-date information for those who design, evaluate, analyze, or use UWB technology for any application. Since UWB technology is a developing field, the authors have stressed theory and hardware and have presented basic principles and concepts to help guide the design of UWB systems. Introduction to Ultra-Wideband Radar Systems is a comprehensive guide to the general features of UWB technology as well as a source for more detailed information.
Introduction to Video Game Engine Development: Learn to Design, Implement, and Use a Cross-Platform 2D Game Engine
by Victor G BruscaStart your video game development journey by learning how to build a 2D game engine from scratch. Using Java (with NetBeans as your IDE and using Java’s graphics framework) or by following along in C# (with Visual Studio as your IDE and using the MonoGame framework), you’ll cover the design and implementation of a 2D game engine in detail. Each class will be reviewed with demonstration code. You’ll gain experience using the engine by building a game from the ground up. Introduction to Video Game Engine Development reviews the design and implementation of a 2D game engine in three parts. Part 1 covers the low-level API class by class. You’ll see how to abstract lower-level functionality and design a set of classes that interact seamlessly with each other. You’ll learn how to draw objects, play sounds, render text, and more. In Part 2, you’ll review the mid-level API that is responsible for drawing the game, loading resources, and managing user input. Lastly, in Part 3, you’ll build a game from the ground up following a step-by-step process using the 2D game engine you just reviewed. On completing this book, you’ll have a solid foundation in video game engine design and implementation. You’ll also get exposure to building games from scratch, creating the solid foundation you’ll need to work with more advanced game engines, and industry tools, that require learning complex software, APIs, and IDEs. What You Will Learn Gain experience with lower-level game engine APIs and abstracting framework functionalityWrite application-level APIs: launching the game, loading resources, settings, processing input, and more Discover cross-platform APIs in the game engine projects written in both Java and C#/MonoGame Develop games with an SDK-based game engine and simplified tool chain focused on direct control of the game through codeMaster creating games by using the game engine to build a game from the ground up with only code and an IDE Who This Book Is For Those of you out there with some programming experience, moderate to advanced, who want to learn how to write video games using modern game engine designs.
Introduction to Video and Image Processing
by Thomas B. MoeslundThis textbook presents the fundamental concepts and methods for understanding and working with images and video in an unique, easy-to-read style which ensures the material is accessible to a wide audience. Exploring more than just the basics of image processing, the text provides a specific focus on the practical design and implementation of real systems for processing video data. Features: includes more than 100 exercises, as well as C-code snippets of the key algorithms; covers topics on image acquisition, color images, point processing, neighborhood processing, morphology, BLOB analysis, segmentation in video, tracking, geometric transformation, and visual effects; requires only a minimal understanding of mathematics; presents two chapters dedicated to applications; provides a guide to defining suitable values for parameters in video and image processing systems, and to conversion between the RGB color representation and the HIS, HSV and YUV/YCbCr color representations.
Introduction to Visual Computing: Core Concepts in Computer Vision, Graphics, and Image Processing
by Aditi Majumder M. GopiIntroduction to Visual Computing: Core Concepts in Computer Vision, Graphics, and Image Processing covers the fundamental concepts of visual computing. Whereas past books have treated these concepts within the context of specific fields such as computer graphics, computer vision or image processing, this book offers a unified view of these core concepts, thereby providing a unified treatment of computational and mathematical methods for creating, capturing, analyzing and manipulating visual data (e.g. 2D images, 3D models). Fundamentals covered in the book include convolution, Fourier transform, filters, geometric transformations, epipolar geometry, 3D reconstruction, color and the image synthesis pipeline. The book is organized in four parts. The first part provides an exposure to different kinds of visual data (e.g. 2D images, videos and 3D geometry) and the core mathematical techniques that are required for their processing (e.g. interpolation and linear regression.) The second part of the book on Image Based Visual Computing deals with several fundamental techniques to process 2D images (e.g. convolution, spectral analysis and feature detection) and corresponds to the low level retinal image processing that happens in the eye in the human visual system pathway. The next part of the book on Geometric Visual Computing deals with the fundamental techniques used to combine the geometric information from multiple eyes creating a 3D interpretation of the object and world around us (e.g. transformations, projective and epipolar geometry, and 3D reconstruction). This corresponds to the higher level processing that happens in the brain combining information from both the eyes thereby helping us to navigate through the 3D world around us. The last two parts of the book cover Radiometric Visual Computing and Visual Content Synthesis. These parts focus on the fundamental techniques for processing information arising from the interaction of light with objects around us, as well as the fundamentals of creating virtual computer generated worlds that mimic all the processing presented in the prior sections. The book is written for a 16 week long semester course and can be used for both undergraduate and graduate teaching, as well as a reference for professionals.
Introduction to Visual Effects: A Computational Approach
by Luiz Velho Bruno MadeiraIntroduction to Visual Effects: A Computational Approach is the first single introduction to the computational and mathematical aspects of visual effects, incorporating both computer vision and graphics. The book also provides the readers with the source code to a library, enabling them to follow the chapters directly and build up a complete visual effects platform. The book covers the basic approaches to camera pose estimation, global illumination, and image-based lighting, and includes chapters on the virtual camera, optimization and computer vision, path tracing and many more. Key features include: Introduction to projective geometry, image-based lighting (IBL), global illumination solved by the Monte Carlo method (Pathtracing), an explanation of a set of optimization methods, and the techniques used for calibrating one, two, and many cameras, including how to use the RANSAC algorithm in order to make the process robust, and providing code to be implemented using the Gnu Scientific Library. C/C++ code using the OpenCV library, to be used in the process of tracking points on a movie (an important step for the matchmove process), and in the construction of modeling tools for visual effects. A simple model of the Bidirectional Reflectance Distribution Function (BRDF) of surfaces and the differential rendering method, allowing the reader to generate consistent shadows, supported by a code that can be used in combination with a software like Luminance HDR.
Introduction to Visual SLAM: From Theory to Practice
by Tao Zhang Xiang GaoThis book offers a systematic and comprehensive introduction to the visual simultaneous localization and mapping (vSLAM) technology, which is a fundamental and essential component for many applications in robotics, wearable devices, and autonomous driving vehicles. The book starts from very basic mathematic background knowledge such as 3D rigid body geometry, the pinhole camera projection model, and nonlinear optimization techniques, before introducing readers to traditional computer vision topics like feature matching, optical flow, and bundle adjustment. The book employs a light writing style, instead of the rigorous yet dry approach that is common in academic literature. In addition, it includes a wealth of executable source code with increasing difficulty to help readers understand and use the practical techniques. The book can be used as a textbook for senior undergraduate or graduate students, or as reference material for researchers and engineers in related areas.
Introduction to Wavelet Transforms
by Nirdosh BhatnagarThe textbook, Introduction to Wavelet Transforms provides basics of wavelet transforms in a self-contained manner. Applications of wavelet transform theory permeate our daily lives. Therefore it is imperative to have a strong foundation for this subject. Features No prior knowledge of the subject is assumed. Sufficient mathematical background is provided to complete the discussion of different topics. Different topics have been properly segmented for easy learning. This makes the textbook pedagogical and unique. Notation is generally introduced in the definitions. Relatively easy consequences of the definitions are listed as observations, and important results are stated as theorems. Examples are provided for clarity and to enhance reader's understanding of the subject. Each chapter also has a problem section. A majority of the problems are provided with sufficient hints. The textbook can be used either in an upper-level undergraduate or first-year graduate class in electrical engineering, or computer science, or applied mathematics. It can also be used by professionals and researchers in the field who would like a quick review of the basics of the subject. About the Author: Nirdosh Bhatnagar works in both academia and industry in Silicon Valley, California. He is also the author of a comprehensive two-volume work: Mathematical Principles of the Internet, published by the CRC Press in the year 2019. Nirdosh earned M.S. in Operations Research, and M.S. and Ph.D. in electrical engineering, all from Stanford University, Stanford, California..
Introduction to Web Design Using Dreamweaver
by Mark A. Evans Michael HammThis book intends to help the reader develop skills needed to become a Web designer and other useful skills like critical thinking and teamwork skills.
Introduction to Web Interaction Design: With HTML and CSS
by Michael MacaulayThis book introduces standard and new HTML5 elements and attributes and CSS3 properties commonly used in Web design as well as design guidelines for their effective use. Its approach of explaining every line of code in the examples it uses to show the usage of the HTML elements and CSS properties introduced makes it an invaluable Web design resource for beginners as well as intermediates looking to fill in gaps in their knowledge. In addition, the inclusion of user-centered design process stages and how they are best managed in website development makes the book unique in its area. Also, the book's approach of including challenges after each topic to help refresh readers' knowledge, as well as make them think, ensures that there are ample activities to keep learners motivated and engaged. Michael Macaulay is a freelance educator, developer, and user-experience designer and evaluator. Formerly, he was a senior lecturer and course director for multimedia courses at London South Bank University, United Kingdom. He earned his PhD in 2000 in the effects of human–computer interaction and multimedia in learning from Loughborough University, United Kingdom. In the past, he had also been a computer systems administrator, computer systems programmer and analyst, and desktop publisher. ????