Managing Business Projects: The Essentials differs from many other project management textbooks. Foremost, it is about business projects as opposed to construction or engineering projects. Although many techniques, like schedule management, apply to both, they are usually applied differently. As its title conveys, the book explains the essential techniques and perspectives needed for business projects to be successful. The focus is on small- and medium-sized projects, up to $20 million, but often below $1 million. Some literature favors large and mega-projects, but for every mega-project, there are many thousands of smaller projects that are vital to the organization and could involve considerable complexity and risk. Nevertheless, the techniques outlined here also apply to mega-projects and their many subprojects; they even apply to some aspects of construction or engineering projects.

This book does not aim to cover all project management techniques. In real life there is simply no time for sophisticated ‘should-dos.' Rather, it covers the essentials that apply to almost all business projects; these are unlikely to change in the future even as technology and methodologies advance. The driving idea, which is stated repeatedly, is to do the essentials and to do them consistently and well.

Strong emphasis is placed on things that happen before, around, and after the project itself. So, while the basic disciplines like engaging with stakeholders, managing scope, schedules, costs, risks, issues, changes, and communication, are thoroughly explained, other important aspects are covered. These include: governance of a project and of a portfolio of projects, project selection with its financial and non-financial aspects, effective use of the business case through to benefits realization, procurement, outsourcing and partnership, and also the agile mindset that is valuable beyond Agile projects.

Besides project managers and sponsors, this book is intended for people who are working in business or government, at any level, or for MBA students. It offers perspectives that enable them to learn more from their everyday experience. It is not aimed at undergraduate students, although many would benefit from the contents.

The concentration of private power over media has been the subject of intense public debate around the world. Critics have long feared waves of mergers creating a handful of large media firms that would hold sway over public opinion and endanger democracy and innovation. But others believe with equal fervor that the Internet and deregulation have opened the media landscape significantly. How concentrated has the American information sector really become? What are the facts about American media ownership? In this contentious environment, Eli Noam provides a comprehensive and balanced survey of media concentration with a methodical, scientific approach. He assembles a wealth of data from the last 25 years about mass media such as radio, television, film, music, and print publishing, as well as the Internet, telecommunications, and media-related information technology. After examining 100 separate media and network industries in detail, Noam provides a powerful summary and analysis of concentration trends across industries and major media sectors. He also looks at local media power, vertical concentration, and the changing nature of media ownership through financial institutions and private equity. The results reveal a reality much more complex than the one painted by advocates on either side of the debate. They show a dynamic system that fluctuates around long-term concentration trends driven by changing economics and technology. Media Ownership and Concentration in America will be essential reading and a trove of information for scholars and students in media, telecommunications, IT, economics, and the history of business, as well as media industry professionals, business researchers, and policy makers around the world. Critics and defenders of media trends alike will find much that confirms and refutes their world view. But the next round of their debate will be shaped by the facts presented in this book.

Intelligent IT Outsourcing enables practitioners to focus in on the essential issues that need to be addressed so that the fundamental structure of their sourcing strategy and its implementation is sound. The authors provide insight into the challenges likely to be faced and give detailed advice on how to pre-empt and manage these.

IT and outsourcing continue to be problematic, not least because fundamental learning about this subject fails to be applied systematically, and because IT is inherently difficult to manage. The economics are not obvious and emerging technologies have to be addressed, therefore IT goes to the heart of many enterprises and interfaces with multiple business units and processes, and there are continuous skills shortages.
Unfortunately complexities are not removed in outsourced situations where additional problems come into play, for example the supplier's capabilities, whether the IT is right for an outsourcing solution, and whether the contract is robust but flexible enough to allow for outsourcing to take place. Objectives need to be realistic, and factors such as whether the internal management is mature and capable enough in this field, and the impact of prohibitive switching costs on behaviour once an outsourcing deal has been signed all have to be taken into account.
The authors have built up over two decades of research, advisory and practitioner experience that enables them to distil the fundamental challenges in IT and outsourcing and demonstrate how these can be addressed.
* Focuses on the fundamentals of what should be done and what should be avoided, based on actual experience applied in major IT outsourcing deals
* Researchfindings and case examples included throughout to support recommended practices
* Written by highly experienced, internationally acknowledged experts in the field

You ve just purchased a TI-83 Plus calculator to assist in performing different types of mathematical equations now, how can you get the most out of it? You ll find the answer to this question with our comprehensive, 3-panel guide that shows in great detail what exactly the TI-83 Plus can do. Function key and mode descriptions, as well as problem-solving examples, are included within a color-coded format for easy reference.

"

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Bestselling CompTIA A+ author Mike Meyers provides hands-on, step-by-step labs-updated for the 2012 release of Exam 220-802-so you can practice the IT skills essential for your successMike Meyers' CompTIA A+ Guide to Managing and Troubleshooting Operating Systems Lab Manual, Fourth Edition contains more than 80 labs that challenge you to solve real-world problems with key concepts. Clear, measurable lab objectives map to certification exam objectives, ensuring direct correspondence to Mike Meyers' CompTIA A+ Guide to Managing and Troubleshooting Operating Systems, Fourth Edition. Lab solutions are only available to instructors and are not printed inside the book. The Lab Manual also includes materials lists and lab set-up instructions. Step-by-step, not click-by click, lab scenarios require you to think critically, and Hint and Warning icons guide you through potentially tricky situations. Post-lab observation questions measure your understanding of lab results and the key term quiz helps to build your vocabulary.

This bestselling on-the-job reference and test preparation guide has been fully revised for new 2022 exam objectives This fully revised and updated resource offers complete coverage of the latest release of CompTIA A+ exams 220-1101 & 220-1102. You'll find learning objectives at the beginning of each chapter, exam tips, practice exam questions, and in-depth explanations. Designed to help you pass the CompTIA A+ exams with ease, this definitive guide also serves as an essential on-the-job IT reference. Covers all exam topics, including how to: Work with CPUs, RAM, BIOS, motherboards, power supplies, and other personal computer components Install, configure, and maintain hard drives Manage input devices and removable media Set up, upgrade, and maintain Microsoft Windows Troubleshoot and fix computer problems Install printers and other peripherals Configure and secure mobile devices >Connect to the Internet Set up wired and wireless networks Protect your personal computer and your network Implement virtualization and cloud-based technologies Online content includes: Practice exams for 1101 & 1102 with hundreds of questions One hour of video training from Mike Meyers TotalSim simulations of performance-based questions A collection of Mike Meyers' favorite shareware and freeware PC tools and utilities

Edsger Wybe Dijkstra (1930-2002) was one of the most influential researchers in the history of computer science, making fundamental contributions to both the theory and practice of computing. Early in his career, he proposed the single-source shortest path algorithm, now commonly referred to as Dijkstra's algorithm. He wrote (with Jaap Zonneveld) the first ALGOL 60 compiler, and designed and implemented with his colleagues the influential THE operating system. Dijkstra invented the field of concurrent algorithms, with concepts such as mutual exclusion, deadlock detection, and synchronization. A prolific writer and forceful proponent of the concept of structured programming, he convincingly argued against the use of the Go To statement. In 1972 he was awarded the ACM Turing Award for "fundamental contributions to programming as a high, intellectual challenge; for eloquent insistence and practical demonstration that programs should be composed correctly, not just debugged into correctness; for illuminating perception of problems at the foundations of program design." Subsequently he invented the concept of self-stabilization relevant to fault-tolerant computing. He also devised an elegant language for nondeterministic programming and its weakest precondition semantics, featured in his influential 1976 book A Discipline of Programming in which he advocated the development of programs in concert with their correctness proofs. In the later stages of his life, he devoted much attention to the development and presentation of mathematical proofs, providing further support to his long-held view that the programming process should be viewed as a mathematical activity. In this unique new book, 31 computer scientists, including five recipients of the Turing Award, present and discuss Dijkstra's numerous contributions to computing science and assess their impact. Several authors knew Dijkstra as a friend, teacher, lecturer, or colleague. Their biographical essays and tributes provide a fascinating multi-author picture of Dijkstra, from the early days of his career up to the end of his life.

In recent years, most applications deal with constraint decision-making systems as problems are based on imprecise information and parameters. It is difficult to understand the nature of data based on applications and it requires a specific model for understanding the nature of the system. Further research on constraint decision-making systems in engineering is required. Constraint Decision-Making Systems in Engineering derives and explores several types of constraint decisions in engineering and focuses on new and innovative conclusions based on problems, robust and efficient systems, and linear and non-linear applications. Covering topics such as fault detection, data mining techniques, and knowledge-based management, this premier reference source is an essential resource for engineers, managers, computer scientists, students and educators of higher education, librarians, researchers, and academicians.

The key parameter that needs to be considered when planning the management of resources in futuristic wireless networks is a balanced approach to resource distribution. A balanced approach is necessary to provide an unbiased working environment for the distribution, sharing, allocation, and supply of resources among the devices of the wireless network. Equal resource distribution also maintains balance and stability between the operations of communication systems and thus improves the performance of wireless networks. Managing Resources for Futuristic Wireless Networks is a pivotal reference source that presents research related to the control and management of key parameters of bandwidth, spectrum sensing, channel selection, resource sharing, and task scheduling, which is necessary to ensure the efficient operation of wireless networks. Featuring topics that include vehicular ad-hoc networks, resource management, and the internet of things, this publication is ideal for professionals and researchers working in the field of networking, information and knowledge management, and communication sciences. Moreover, the book will provide insights and support executives concerned with the management of expertise, knowledge, information, and organizational development in different types of work communities and environments.

Shape grammar and space syntax have been separately developed but rarely combined in any significant way. The first of these is typically used to investigate or generate the formal or geometric properties of architecture, while the second is used to analyze the spatial, topological, or social properties of architecture. Despite the reciprocal relationship between form and space in architecture-it is difficult to conceptualize a completed building without a sense of both of these properties-the two major computational theories have been largely developed and applied in isolation from each another. Grammatical and Syntactical Approaches in Architecture: Emerging Research and Opportunities is a critical scholarly resource that explores the relationship between shape grammar and space syntax for urban planning and architecture and enables the creative discovery of both the formal and spatial features of an architectural style or type. This book, furthermore, presents a new method to selectively capture aspects of both the grammar and syntax of architecture. Featuring a range of topics such as mathematical analysis, spatial configuration, and domestic architecture, this book is essential for architects, policymakers, urban planners, researchers, academicians, and students.

Emerging scientific and industrial applications in today's world require significant computing power. Modern software tools are available for such platforms but are relatively complex and require the use of innovative programming models. One promising area in modern software design is the development, analysis, and implementation of algorithms and adaptive methods. These advancements in programming are promising but lack relevant research and understanding. Formal and Adaptive Methods for Automation of Parallel Programs Construction: Emerging Research and Opportunities is an essential reference source that solves the problem of the development of efficient models, methods, and tools for parallel programming automation based on the algebra of algorithms, term rewriting, and auto-tuning paradigms. The results of this book will help to further develop and improve existing research on design, synthesis, and optimization of sequential and parallel algorithms and programs. Featuring research on topics such as auto-tuning methods, graphics processing, and algorithmic language, this book is ideally designed for mathematicians, software engineers, data scientists, researchers, academicians, and students seeking coverage on developing tools for automated design and parallel programs.

If you look around you will find that all computer systems, from your portable devices to the strongest supercomputers, are heterogeneous in nature. The most obvious heterogeneity is the existence of computing nodes of different capabilities (e.g. multicore, GPUs, FPGAs, ...). But there are also other heterogeneity factors that exist in computing systems, like the memory system components, interconnection, etc. The main reason for these different types of heterogeneity is to have good performance with power efficiency. Heterogeneous computing results in both challenges and opportunities. This book discusses both. It shows that we need to deal with these challenges at all levels of the computing stack: from algorithms all the way to process technology. We discuss the topic of heterogeneous computing from different angles: hardware challenges, current hardware state-of-the-art, software issues, how to make the best use of the current heterogeneous systems, and what lies ahead. The aim of this book is to introduce the big picture of heterogeneous computing. Whether you are a hardware designer or a software developer, you need to know how the pieces of the puzzle fit together. The main goal is to bring researchers and engineers to the forefront of the research frontier in the new era that started a few years ago and is expected to continue for decades. We believe that academics, researchers, practitioners, and students will benefit from this book and will be prepared to tackle the big wave of heterogeneous computing that is here to stay.