Prepare for PMP certification exam success with this fully updated and comprehensive study guide This study guide serves as a comprehensive resource for those who plan on taking the Project Management Professional (PMP) certification exam administered by PMI. The book helps you prepare for the exam, and it will continue to serve project managers as an on-the-job reference book. The PMP Project Management Professional Exam Study Guide, Tenth Edition is fully updated to include recent changes to the exam. New content covers the integral role that Agile and other iterative practices have in project management. Updates also address the pivotal responsibilities of the project manager and the skill sets required for this position. The study guide was written to reflect the Project Management Process and Procedures found in the revised A Guide to the Project Management Body of Knowledge -- PMBOK(R) Guide, 6th Edition. Well-known author and expert Kim Heldman, PMP, helps to prepare you for the exam with in-depth coverage of topics, concepts, and key terms. Learn more about the three main domain areas of people, process, and business environment, plus the predictive, agile, and hybrid approaches to project management.This guide is an effective learning aid that will take your understanding to the next level. Provides comprehensive material, covering the complete exam outline Lists chapter objectives and offers detailed discussions of these objectives Reflects differences in project management environments and approaches Effectively presents real world scenarios, project application sidebars, and chapter review questions You'll also connect to a beneficial, on-the-go resource: an interactive online learning environment and test bank. This environment includes an assessment test, chapter tests, practice exams, electronic flashcards, and a glossary of key terms. A thorough review is the best prep for a challenging certification exam. So, get ready with this essential PMP study guide.

This reference text presents the usage of artificial intelligence in healthcare and discusses the challenges and solutions of using advanced techniques like wearable technologies and image processing in the sector. Features: Focuses on the use of artificial intelligence (AI) in healthcare with issues, applications, and prospects Presents the application of artificial intelligence in medical imaging, fractionalization of early lung tumour detection using a low intricacy approach, etc Discusses an artificial intelligence perspective on wearable technology Analyses cardiac dynamics and assessment of arrhythmia by classifying heartbeat using electrocardiogram (ECG) Elaborates machine learning models for early diagnosis of depressive mental affliction This book serves as a reference for students and researchers analyzing healthcare data. It can also be used by graduate and post graduate students as an elective course.

Packed with projects and inspirational ideas you can do any time, any place, become an accomplished photographer while feeding your creativity with this guide that reveals what just what your smartphone camera is capable of. A camera phone is something we always have on us and creativity is something we all have in us but often we struggle to use them properly, feeling like we don't have the time, space or inclination to dedicate to it. Here, photography expert and bestselling author Jo Bradford supplies a collection of practical exercises that allow you to master the features on your smartphone camera to take incredible images and also help you to easily reconnect with your creative side. By encouraging you to try something different with your camera and seek out creative opportunities - from light painting to collage, image stacking to time-lapse landscapes - soon you will once again feel the satisfaction of thinking and acting creatively, with the added benefit of taking you from a snapper to an accomplished photographer with visual literacy. Smartphone photography is addictive with a tangible feel-good factor; it's time to embrace it and capture the moments that matter to you in all their glory.

Constraint Satisfaction Problems (CSPs) are natural computational problems that appear in many areas of theoretical computer science. Exploring which CSPs are solvable in polynomial time and which are NP-hard reveals a surprising link with central questions in universal algebra. This monograph presents a self-contained introduction to the universal-algebraic approach to complexity classification, treating both finite and infinite-domain CSPs. It includes the required background from logic and combinatorics, particularly model theory and Ramsey theory, and explains the recently discovered link between Ramsey theory and topological dynamics and its implications for CSPs. The book will be of interest to graduate students and researchers in theoretical computer science and to mathematicians in logic, combinatorics, and dynamics who wish to learn about the applications of their work in complexity theory.

Algorithmic graph theory has been expanding at an extremely rapid rate since the middle of the twentieth century, in parallel with the growth of computer science and the accompanying utilization of computers, where efficient algorithms have been a prime goal. This book presents material on developments on graph algorithms and related concepts that will be of value to both mathematicians and computer scientists, at a level suitable for graduate students, researchers and instructors. The fifteen expository chapters, written by acknowledged international experts on their subjects, focus on the application of algorithms to solve particular problems. All chapters were carefully edited to enhance readability and standardize the chapter structure as well as the terminology and notation. The editors provide basic background material in graph theory, and a chapter written by the book's Academic Consultant, Martin Charles Golumbic (University of Haifa, Israel), provides background material on algorithms as connected with graph theory.

The internet could have been purpose-built for fostering the growth of the social movements and citizen initiatives which have had such a significant impact on the political landscape since the 1990s. In "Cyberprotest" the contributors explore the effects of this synergy between ICTs (Information Communication Technologies) and people power, analysing the implications for politics and social policy at both a national and a global level. Through a number of different international examples answers are sought to questions such as: to what extent and in what forms do social movements use ICTs?; how do new ICTs facilitate new patterns and forms of citizen mobilization?; how does this use affect the relationship between social movements and their members?; how do ICTs change the way social movement organizations communicate with each other?; and how do they affect the way these movements mobilize and intervene in public debates and political conflicts?

Used alongside the students' text, Higher National Computing 2nd edition, this pack offers a complete suite of lecturer resource material and photocopiable handouts for the compulsory core units of the new BTEC Higher Nationals in Computing and IT, including the four core units for HNC, the two additional core units required at HND, and the Core Specialist Unit 'Quality Systems', common to both certificate and diploma level.
The authors provide all the resources needed by a busy lecturer, as well as a bank of student-centred practical work and revision material, which will enable students to gain the skills, knowledge and understanding they require.
Also available as a web download for adopters, this pack will save a course team many hours' work preparing handouts and assignments, and is freely photocopiable within the purchasing institution. The pack includes:
* Exercises to support and develop work in the accompanying student text
* Planned projects which will enable students to display a wide range of skills and use their own initiative
* Assessment materials
* Reference material for use as hand-outs
* Background on running the new HNC / HND courses
* Tutor's notes supporting activities in the students' book and resource pack
* All the essential material for running a course in the 2003 Higher National Computing qualification from Edexcel
* Full coverage of the compulsory core units for both the HNC and HND
* Freely photocopiable within the purchasing institution with electronic files available to download from the web, this pack will save a course team many hours' work preparing handouts and assignments

The complementary nature of physically-based and data-driven models in their demand for physical insight and historical data, leads to the notion that the predictions of a physically-based model can be improved and the associated uncertainty can be systematically reduced through the conjunctive use of a data-driven model of the residuals. The objective of this thesis is to minimise the inevitable mismatch between physically-based models and the actual processes as described by the mismatch between predictions and observations. Principles based on information theory are used to detect the presence and nature of residual information in model errors that might help to develop a data-driven model of the residuals by treating the gap between the process and its (physically-based) model as a separate process. The complementary modelling approach is applied to various hydrodynamic and hydrological models to forecast the expected errors and accuracy, using neural network and fuzzy rule-based models. Complementary modelling offers the opportunity of incorporating processes and data that are not considered by the model, without affecting the routine operation of physically-based models. The possibility that information may be obtained which will help to improve the physically-based model is also demonstrated.

Features Connected to a Github repository with the codes in the book. The repository can be accessed at https://bit.ly/3bllnuf Suitable for undergraduate students, as well as anyone who wants a gentle introduction to the principles of quantitative finance No pre-requisites required for programming or advanced mathematics beyond basic calculus.

Formal methods is a field of computer science that emphasizes the use of rigorous mathematical techniques for verification and design of hardware and software systems. Analysis and design of nonlinear control design plays an important role across many disciplines of engineering and applied sciences, ranging from the control of an aircraft engine to the design of genetic circuits in synthetic biology. While linear control is a well-established subject, analysis and design of nonlinear control systems remains a challenging topic due to some of the fundamental difficulties caused by nonlinearity. Formal Methods for Control of Nonlinear Systems provides a unified computational approach to analysis and design of nonlinear systems. Features Constructive approach to nonlinear control. Rigorous specifications and validated computation. Suitable for graduate students and researchers who are interested in learning how formal methods and validated computation can be combined together to tackle nonlinear control problems with complex specifications from an algorithmic perspective. Combines mathematical rigor with practical applications.

This text provides novel smart network systems, wireless telecommunications infrastructures, and computing capabilities to help healthcare systems using computing techniques like IoT, cloud computing, machine and deep learning Big Data along with smart wireless networks. It discusses important topics, including robotics manipulation and analysis in smart healthcare industries, smart telemedicine framework using machine learning and deep learning, role of UAV and drones in smart hospitals, virtual reality based on 5G/6G and augmented reality in healthcare systems, data privacy and security, nanomedicine, and cloud-based artificial intelligence in healthcare systems. The book: * Discusses intelligent computing through IoT and Big Data in secure and smart healthcare systems. * Covers algorithms, including deterministic algorithms, randomized algorithms, iterative algorithms, and recursive algorithms. * Discusses remote sensing devices in hospitals and local health facilities for patient evaluation and care. * Covers wearable technology applications such as weight control and physical activity tracking for disease prevention and smart healthcare. This book will be useful for senior undergraduate, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering, computer science, and information technology. Discussing concepts of smart networks, advanced wireless communication, and technologies in setting up smart healthcare services, this text will be useful for senior undergraduate, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering, computer science, and information technology. It covers internet of things (IoT) implementation and challenges in healthcare industries, wireless network, and communication-based optimization algorithms for smart healthcare devices.

The best Business Web sites at your fingertips24/7! The Core Business Web: A Guide to Key Information Resources is an essential resource that saves you from spending hours searching through thousands of Web sites for the business information you need. A distinguished panel of authors, all active in business librarianship, explores Web sites in their subject areas, selecting the very best from 25 functional areas of business. Each site was chosen based on the timeliness, relevance and reliability of its content, the site's ease of navigation and use, and the authority of the site's author or publisher. The rapid growth of the Internet has resulted in an ever-increasing number of Web sites offering potentially useful business information. The Core Business Web identifies, evaluates, and summarizes the most significant sites, including gateways or portals, directories, and meta-sites, to organize online resources into easy-to-follow links that allow you to access information quickly. Sites are categorized and listed for 25 areas of business, including: bankingcommercial banking, regulators, trade associations, international links business lawstatutes, regulations, decisions, antitrust, corporations, international transactions, labor and employment, tax and taxation, uniform commercial code career information and salary surveyslabor statistics, job hunters, career planning e-commercee-business news, statistics, how-to sites, technology sites, business-to-business sites finance and investmentsmarket analysis and commentary, market news, stock screeners, brokers hospitality and tourismlodging and gaming, restaurant and foodservice small business and entrepreneurshipstartup information, counseling, funding and venture capital, and sites for women and minority-owned businesses, and much more! The Core Business Web is an invaluable resource for saving valuable time that's intended for information professionals but can be used by anyone seeking business information online.

The Science of Deep Learning emerged from courses taught by the author that have provided thousands of students with training and experience for their academic studies, and prepared them for careers in deep learning, machine learning, and artificial intelligence in top companies in industry and academia. The book begins by covering the foundations of deep learning, followed by key deep learning architectures. Subsequent parts on generative models and reinforcement learning may be used as part of a deep learning course or as part of a course on each topic. The book includes state-of-the-art topics such as Transformers, graph neural networks, variational autoencoders, and deep reinforcement learning, with a broad range of applications. The appendices provide equations for computing gradients in backpropagation and optimization, and best practices in scientific writing and reviewing. The text presents an up-to-date guide to the field built upon clear visualizations using a unified notation and equations, lowering the barrier to entry for the reader. The accompanying website provides complementary code and hundreds of exercises with solutions.

In the beginning was the Word. Now there's PowerPoint. It's used for weddings, warfare and webinars, for literature, lessons and law. And, of course, to tell everyone that Q4 is going to be a lot more challenging than Q3. PowerPoint is probably the most successful piece of software in history - but do you know who invented it? Or why it's banned in American courtrooms? Or which Pulitzer Prize-winning novel has a chapter entirely in PowerPoint? At its heart, PowerPoint is about presentation, theatre and culture. About how to think, create and persuade. And it's hated and loved in equal measure for reasons that tell us a lot about power and who gets to say what where. All of life is somewhere in a PowerPoint slide. Come inside to find out why.

The 29th European Symposium on Computer Aided Process Engineering, contains the papers presented at the 29th European Symposium of Computer Aided Process Engineering (ESCAPE) event held in Eindhoven, The Netherlands, from June 16-19, 2019. It is a valuable resource for chemical engineers, chemical process engineers, researchers in industry and academia, students, and consultants for chemical industries.

Explanatory Model Analysis Explore, Explain and Examine Predictive Models is a set of methods and tools designed to build better predictive models and to monitor their behaviour in a changing environment. Today, the true bottleneck in predictive modelling is neither the lack of data, nor the lack of computational power, nor inadequate algorithms, nor the lack of flexible models. It is the lack of tools for model exploration (extraction of relationships learned by the model), model explanation (understanding the key factors influencing model decisions) and model examination (identification of model weaknesses and evaluation of model's performance). This book presents a collection of model agnostic methods that may be used for any black-box model together with real-world applications to classification and regression problems.

Networking and Kubernetes is an essential guide for anyone who wants to deploy, manage, or troubleshoot a production scale Kubernetes network. Understanding Kubernetes clusters is not enough to operate Kubernetes at scale. Every layer of the stack--the network, operating system, and Kubernetes--depends on the layer below. Successful administrators need to understand each layer and how it works across deployments on-prim, in the cloud, and with managed services. Networking and Kubernetes clearly guides administrators through the layers of complexity and abstraction that come with running a Kubernetes network. It covers: The Kubernetes networking model The CNCF Container Network Interface Project and how to choose the best interface for your clusters The networking and Linux primitives that power Kubernetes How to quickly troubleshoot networking issues and prevent downtime Cloud networking and Kubernetes with the three major providers: AWS, GCP, and Azure The pros and cons of various network tools--and how to select the best ones for your stack

Are Amazon Alexa and Google Home limited to our bedrooms, or can they be used in hospitals? Do you envision a future where physicians work hand-in-hand with voice AI to revolutionize healthcare delivery? In the near future, clinical smart assistants will be able to automate many manual hospital tasks-and this will be only the beginning of the changes to come. Voice AI is the future of physician-machine interaction and this Focus book provides invaluable insight on its next frontier. It begins with a brief history and current implementations of voice-activated assistants and illustrates why clinical voice AI is at its inflection point. Next, it describes how the authors built the world's first smart surgical assistant using an off-the-shelf smart home device, outlining the implementation process in the operating room. From quantitative metrics to surgeons' feedback, the authors discuss the feasibility of this technology in the surgical setting. The book then provides an in-depth development guideline for engineers and clinicians desiring to develop their own smart surgical assistants. Lastly, the authors delve into their experiences in translating voice AI into the clinical setting and reflect on the challenges and merits of this pursuit. The world's first smart surgical assistant has not only reduced surgical time but eliminated major touch points in the operating room, resulting in positive, significant implications for patient outcomes and surgery costs. From clinicians eager for insight on the next digital health revolution to developers interested in building the next clinical voice AI, this book offers a guide for both audiences.

This foundational text examines the intersection of AI, psychology, and ethics, laying the groundwork for the importance of ethical considerations in the design and implementation of technologically supported education, decision support, and leadership training. AI already affects our lives profoundly, in ways both mundane and sensational, obvious and opaque. Much academic and industrial effort has considered the implications of this AI revolution from technical and economic perspectives, but the more personal, humanistic impact of these changes has often been relegated to anecdotal evidence in service to a broader frame of reference. Offering a unique perspective on the emerging social relationships between people and AI agents and systems, Hampton and DeFalco present cutting-edge research from leading academics, professionals, and policy standards advocates on the psychological impact of the AI revolution. Structured into three parts, the book explores the history of data science, technology in education, and combatting machine learning bias, as well as future directions for the emerging field, bringing the research into the active consideration of those in positions of authority. Exploring how AI can support expert, creative, and ethical decision making in both people and virtual human agents, this is essential reading for students, researchers, and professionals in AI, psychology, ethics, engineering education, and leadership, particularly military leadership.

Showcasing the most influential developments, experiments, and architectures impacting the digital, surveillance, automotive, industrial, and medical sciences, Image Processing Technologies tracks the evolution and advancement of computer vision and image processing (CVIP) technologies, examining methods and algorithms for image analysis, optimization, segmentation, and restoration. It focuses on recent approaches and techniques in CVIP applications development and explores various coding methods for individual types of 3-D images. This text/reference brings researchers and specialists up-to-date on the latest innovations affecting multiple image processing environments.

Author Biography:
Dr. Hassan A. Karimi is Assistant Professor and Director of Geoinformatics Program in the Department of Information Science and Telecommunications at the University of Pittsburgh. His main research interests include geospatial information systems (GISs), Global Positioning System (GPS), remote sensing, location-based computing and services, mobile computing, spatial databases, spatial algorithms, computational geometry, parallel/distributed computing, and spatial uncertainty measurement and modelling.

Dr. Amin Hammad is a Visiting Scholar at Carnegie Mellon University and University of Pittsburgh. Prior to his current position, he was Assistant Professor in the Department of Civil Engineering of Nagoya University, Japan, for six years. His main research interest is the application of geomatics and mobile computing in civil engineering and urban planning.

Both editors have strong background in the theme of the proposed book. They have been actively engaged in research and teaching related to the subjects in the book.