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CompTIA Project+ Practice Tests: Exam PK0-005
by Brett J. FeddersenAn indispensable study aid for an in-demand project management certification In the newly updated second edition of CompTIA Project+ Practice Tests: Exam PK0-005, veteran tech educator and project manager Brett J. Feddersen delivers an indispensable study aid for anyone preparing for the CompTIA Project+ certification exam or a new career in project management. This new edition is fully revised to reflect recent changes to the Project+ PK0-005 exam, and offers new questions that emphasize the importance of agile and other iterative project management methodologies commonly used in IT environments. You&’ll explore every objective covered by the Project+ exam, including project management concepts, project life cycle phases, project tools and documentation, and the basics of information technology and governance. You&’ll also find: Hands-on and practical information you can use immediately to prepare for a new career in project management, or for expanding your existing skillset Hundreds of domain-by-domain questions that pinpoint exactly where you excel and where you need more training A true-to-life testing format that prepares you for the real-world exam and reduces test anxiety so you can focus on succeeding your first time taking the testA can&’t-miss resource for aspiring and veteran project managers, CompTIA Project+ Practice Tests: Exam PK0-005, Second Edition, belongs in the hands of anyone hoping to master the latest version of the Project+ exam or distinguish themselves on their first day of a new project management job.
CompTIA Project+ Study Guide: Exam PK0-005
by Kim HeldmanPrepare for the Project+ exam and a new career in project management quickly and efficiently with a newly updated guide In the newly revised Third Edition of the CompTIA Project+ Study Guide: Exam PK0-005, veteran project manager and tech educator Kim Heldman delivers a fully updated and comprehensive guide to the foundational CompTIA Project+ exam. This all-in-one study aid focuses on the job-critical skills demanded by employers and will help you hit the ground running on your first day in a new project management role. In this Study Guide, you&’ll learn to manage the project lifecycle, coordinate small- and medium-sized projects, establish communication plans, manage resources and stakeholders, maintain project documentation and artifacts, and support the completion of larger projects within an information technology environment. It also offers: Hands-on, concrete guidance designed to banish test anxiety and prepare you for the entry-level CompTIA Project+ exam Detailed advice on project management concepts, lifecycle phases, project tools and documentation, and IT and governance basics required by on-the-job project managers Complimentary access to Sybex&’s interactive, online learning environment and test bank, complete with an assessment test, hundreds of practice questions, practice exams, electronic flashcards, and a searchable glossary of key termsFull of practical examples and insights drawn from the author&’s extensive, real-world experience, the newest edition of CompTIA Project+ Study Guide: Exam PK0-005, Third Edition, is a must-read for anyone considering a new career in project management or preparing for the CompTIA Project+ exam.
Compton Financial: Using Time-Driven ABC to Accomplish a Profit Turnaround
by Robert S. Kaplan Steven R. AndersonThis chapter illustrates the enterprise-wide scalability of Time-Driven ABC in the financial services industry through the case of Compton Financial (disguised), a leading firm offering low-cost stock trading, online trading, no-load mutual funds, insurance, and financial advisory services.
Compulsory Licensing: Practical Experiences and Ways Forward (MPI Studies on Intellectual Property and Competition Law #22)
by Reto M. Hilty Kung-Chung LiuUnder the auspices of the Max Planck Institute for Intellectual Property and Competition Law (now the Max Planck Institute for Innovation and Competition). And Institutum Iurisprudentiae, Academia Sinica, a group of twenty scholars from around the world gathered to study the experiences made with regards to compulsory licensing. The results are demonstrated in this book. Different articles analyze how the international conventions on intellectual property may be interpreted and explore the related doctrinal groundwork surrounding compulsory patent licensing and beyond. It is shown how the compulsory licensing regime could be transformed into a truly workable mechanism facilitating the speedy use and dissemination of innovation and other subject matters of protection.
Compulsory Purchase and Compensation
by Barry Denyer-GreenCompulsory Purchase and Compensation is the essential guide to this complex and increasingly relevant area of the law. Now in its eleventh edition, no other book presents the same level of information on the law relating to compulsory purchase and compensation in England and Wales in such an accessible way. The best-selling book on the subject, previous editions have been used by professionals and students alike in order to gain a full understanding of a key subject for any surveyor or lawyer. The book is also especially suited to those coming to this complex subject without a specific background in the law and ideal reading for those students taking planning and built environment law modules. Surveyors in particular will find this book invaluable. This new edition has been extensively revised and reflects the changes to the law in the Housing and Planning Act 2016 and the Neighbourhood Planning Act 2017, and also recent decisions of the courts and the Upper Tribunal, all of which will be of particular interest to those working on cases related to HS2, the proposed high-speed railway line from London to Birmingham, Leeds and Manchester.
Compulsory Purchase and Compensation
by Barry Denyer-GreenCompulsory Purchase and Compensation remains the essential guide to this complex and increasingly relevant area of the law. Now in its 12th edition, no other book presents the same level of information on the law relating to compulsory purchase and compensation in England and Wales in such an accessible way.The book is also especially suited to those coming to this complex subject without a specific background in the law and is ideal reading for those students taking planning and built environment modules. Surveyors in particular will find this book invaluable.Whilst this new edition picks up the very many decisions of the Upper Tribunal and the higher courts since the 11th edition, the principal piece of new legislation is the Levelling-up and Regeneration Act 2023. One of the controversial provisions in the 2023 Act is the power to include in a compulsory purchase order a direction, the effect of which is that in relation to certain limited purposes, compensation shall be assessed on the basis that no planning permission would be granted for development on the relevant land; in effect, no hope value and only existing use values would be paid.
CompUSA: The Computer Superstore
by Ananth Raman Anna McclellandExamines the CompUSA organization, focusing especially on the operations and the company culture. Highlights the economics of PC retailing and the importance of a responsive supply chain for their product category. The description of company culture emphasizes the role of people-management and incentives in achieving responsiveness.
Computable, Constructive & Behavioural Economic Dynamics: Essays in Honour of Kumaraswamy (Vela) Velupillai (Routledge Frontiers Of Political Economy Ser.)
by Stefano ZambelliThe book contains thirty original articles dealing with important aspects of theoretical as well as applied economic theory. While the principal focus is on: the computational and algorithmic nature of economic dynamics; individual as well as collective decision process and rational behavior, some contributions emphasize also the importance of classical recursion theory and constructive mathematics for dynamical systems, business cycles theories, growth theories, and others are in the area of history of thought, methodology and behavioural economics. The contributors range from Nobel Laureates to the promising new generation of innovative thinkers. This volume is also a Festschrift in honour of Professor Kumaraswamy Vela Velupillai, the founder of Computable Economics, a growing field of research where important results stemming from classical recursion theory and constructive mathematics are applied to economic theory. The aim and hope is to provide new tools for economic modelling. This book will be of particular appeal to postgraduate students and scholars in one or more of the following fields: computable economics, business cycles, macroeconomics, growth theories, methodology, behavioural economics, financial economics, experimental and agent based economics. It might be also of importance to those interested on the general theme of algorithmic foundations for social sciences.
Computable Foundations for Economics (Routledge Advances in Experimental and Computable Economics)
by K. Vela VelupillaiComputable Foundations for Economics is a unified collection of essays, some of which are published here for the first time and all of which have been updated for this book, on an approach to economic theory from the point of view of algorithmic mathematics. By algorithmic mathematics the author means computability theory and constructive mathematics. This is in contrast to orthodox mathematical economics and game theory, which are formalised with the mathematics of real analysis, underpinned by what is called the ZFC formalism, i.e., set theory with the axiom of choice. This reliance on ordinary real analysis and the ZFC system makes economic theory in its current mathematical mode completely non-algorithmic, which means it is numerically meaningless. The book provides a systematic attempt to dissect and expose the non-algorithmic content of orthodox mathematical economics and game theory and suggests a reformalization on the basis of a strictly rigorous algorithmic mathematics. This removes the current schizophrenia in mathematical economics and game theory, where theory is entirely divorced from algorithmic applicability – for experimental and computational exercises. The chapters demonstrate the uncomputability and non-constructivity of core areas of general equilibrium theory, game theory and recursive macroeconomics. The book also provides a fresh look at the kind of behavioural economics that lies behind Herbert Simon’s work, and resurrects a role for the noble classical traditions of induction and verification, viewed and formalised, now, algorithmically. It will therefore be of particular interest to postgraduate students and researchers in algorithmic economics, game theory and classical behavioural economics.
Computable General Equilibrium Modeling: Theory and Applications
by Kenneth Castellanos Andrew Feltenstein Gohar SedrakyanMany books have been written on computable general equilibrium (CGE) modeling. However, there are certain important areas for economic policy that have been largely overlooked. This intermediate/advanced text presents the topic as a methodology for the analysis of macro and fiscal policies in modern economies while introducing levels of disaggregation that are beyond the scope of standard macro models. The book begins by presenting the historical and intuitive background of general equilibrium analysis. Moving on, computer software is introduced to derive numerical solutions for economic models. The authors provide examples of code, bringing in data sources that have become the foundations of CGE applications. The methodology presented here, which differs from other CGE books, includes financial assets, government budget deficits, and debt financing of private investment. These topics are analyzed in the context of dynamic optimization, generating endogenous variables such as inflation, interest, and growth rates. The book also devotes significant attention to the applications of CGE models to developing economies. This textbook comes with a range of downloadable supplements and will be a valuable resource for students taking a CGE course as part of a program in advanced microeconomics, macroeconomics, development economics, or international trade economics.
Computation and Modelling in Insurance and Finance
by Erik BølvikenFocusing on what actuaries need in practice, this introductory account provides readers with essential tools for handling complex problems and explains how simulation models can be created, used and re-used (with modifications) in related situations. The book begins by outlining the basic tools of modelling and simulation, including a discussion of the Monte Carlo method and its use. Part II deals with general insurance and Part III with life insurance and financial risk. Algorithms that can be implemented on any programming platform are spread throughout and a program library written in R is included. Numerous figures and experiments with R-code illustrate the text. The author's non-technical approach is ideal for graduate students, the only prerequisites being introductory courses in calculus and linear algebra, probability and statistics. The book will also be of value to actuaries and other analysts in the industry looking to update their skills.
Computation of Greeks Using the Discrete Malliavin Calculus and Binomial Tree (SpringerBriefs in Statistics)
by Yoshifumi MuroiThis book presents new computation schemes for the sensitivity of options using the binomial tree and introduces readers to the discrete Malliavin calculus. It also shows that applications of the discrete Malliavin calculus approach to the binomial tree model offer fundamental tools for computing Greeks.The binomial tree approach is one of the most popular methods in option pricing. Although it is a fairly traditional model for option pricing, it is still widely used in financial institutions since it is tractable and easy to understand. However, the book shows that the tree approach also offers a powerful tool for deriving the Greeks for options. Greeks are quantities that represent the sensitivities of the price of derivative securities with respect to changes in the underlying asset price or parameters. The Malliavin calculus, the stochastic methods of variations, is one of the most popular tools used to derive Greeks. However, it is also very difficult to understand for most students and practitioners because it is based on complex mathematics. To help readers more easily understand the Malliavin calculus, the book introduces the discrete Malliavin calculus, a theory of the functional for the Bernoulli random walk. The discrete Malliavin calculus is significantly easier to understand, because the functional space of the Bernoulli random walk is realized in a finite dimensional space. As such, it makes this valuable tool far more accessible for a broad readership.
Computational Actuarial Science with R (Chapman And Hall/crc The R Ser. #17)
by Arthur CharpentierA Hands-On Approach to Understanding and Using Actuarial ModelsComputational Actuarial Science with R provides an introduction to the computational aspects of actuarial science. Using simple R code, the book helps you understand the algorithms involved in actuarial computations. It also covers more advanced topics, such as parallel computing and C/
Computational Analysis of Firms' Organization and Strategic Behaviour (Routledge Research in Strategic Management)
by Edoardo MollonaThis book addresses possible applications of computer simulation to theory building in management and organizational theory. The key hypothesis is that modelling and computer simulation provide an environment to develop, test and articulate theoretical propositions. In general, computer simulation provides an experimental environment where researchers are able to play with symbolic representations of phenomena by modifying the model’s structure and activating or deactivating model’s parameters. This environment allows to both generating hypotheses to ex post explain observed phenomena or to ex ante generate distributions of unrealized events thereby envisioning areas for further empirical investigations. Under a methodological perspective, the volume investigates logics and techniques to design a research strategy grounded on computer simulation. In particular, the articles in the book concentrate on two different techniques, and philosophies, to set up a simulation study: System Dynamics, which is grounded on differential equations and feedback theory, and agent-based modeling. The book describes how computer simulation helps to look into research issues typical to strategic management and organizational theory. In this respect, such themes as firms’ diversification strategies, competitive strategy, rivalry and the impact of role dynamics on organizational performances are explored through the lenses of computer simulation models.
Computational and Decision Methods in Economics and Business: Proceedings of the International Workshop “Innovation, Complexity and Uncertainty in Economics and Business” (Lecture Notes in Networks and Systems #388)
by Anna Maria Gil-Lafuente Janusz Kacprzyk José M. Merigó Josefa Boria Agustín TorresThis book presents different topics related to innovation, complexity, uncertainty, modeling and simulation, fuzzy logic, decision-making, aggregation operators, business and economic applications, among others. The chapters are the results of research presented at the International Workshop "Innovation, Complexity and Uncertainty in Economics and Business", held in Barcelona, in November 2019, by The Ibero-American Network for Competitiveness, Innovation and Development (REDCID in Spanish) and the Royal Academy of Economic and Financial Sciences (RACEF in Spanish). These papers are useful for junior and senior researchers in the area of economics and business.
Computational and Methodological Statistics and Biostatistics: Contemporary Essays in Advancement (Emerging Topics in Statistics and Biostatistics)
by Din Ding-Geng Chen Andriëtte Bekker Johannes T. FerreiraIn the statistical domain, certain topics have received considerable attention during the last decade or so, necessitated by the growth and evolution of data and theoretical challenges. This growth has invariably been accompanied by computational advancement, which has presented end users as well as researchers with the necessary opportunities to handle data and implement modelling solutions for statistical purposes.Showcasing the interplay among a variety of disciplines, this book offers pioneering theoretical and applied solutions to practice-oriented problems. As a carefully curated collection of prominent international thought leaders, it fosters collaboration between statisticians and biostatisticians and provides an array of thought processes and tools to its readers. The book thereby creates an understanding and appreciation of recent developments as well as an implementation of these contributions within the broader framework of both academia and industry.Computational and Methodological Statistics and Biostatistics is composed of three main themes:• Recent developments in theory and applications of statistical distributions;• Recent developments in supervised and unsupervised modelling;• Recent developments in biostatistics;and also features programming code and accompanying algorithms to enable readers to replicate and implement methodologies. Therefore, this monograph provides a concise point of reference for a variety of current trends and topics within the statistical domain. With interdisciplinary appeal, it will be useful to researchers, graduate students, and practitioners in statistics, biostatistics, clinical methodology, geology, data science, and actuarial science, amongst others.
Computational and Strategic Business Modelling: IC-BIM 2021, Athens, Greece (Springer Proceedings in Business and Economics)
by Damianos P. Sakas Dimitrios K. Nasiopoulos Yulia TaratuhinaThis book presents advanced methods in business intelligence models that are applicable in research areas of business and enterprise research such as business informatics, e-business, customer behavior and agricultural business. Featuring selected contributions presented at the 2021 International Conference on Business Intelligence and Modelling (IC-BIM) held in Athens, Greece, this book analyses a series of issues and tools for business intelligence in everyday business operations. The International Conference on Business Intelligence and Modelling (IC-BIM) started in 2011 and is an international interdisciplinary conference focusing on the theoretical approach of the contemporary issues evolved in business intelligence and modelling and the integration of theory and practice.
Computational Aspects and Applications in Large-Scale Networks: NET 2017, Nizhny Novgorod, Russia, June 2017 (Springer Proceedings in Mathematics & Statistics #247)
by Valery A. Kalyagin Panos M. Pardalos Oleg Prokopyev Irina UtkinaContributions in this volume focus on computationally efficient algorithms and rigorous mathematical theories for analyzing large-scale networks. Researchers and students in mathematics, economics, statistics, computer science and engineering will find this collection a valuable resource filled with the latest research in network analysis. Computational aspects and applications of large-scale networks in market models, neural networks, social networks, power transmission grids, maximum clique problem, telecommunication networks, and complexity graphs are included with new tools for efficient network analysis of large-scale networks. This proceeding is a result of the 7th International Conference in Network Analysis, held at the Higher School of Economics, Nizhny Novgorod in June 2017. The conference brought together scientists, engineers, and researchers from academia, industry, and government.
Computational Business Analytics (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series #34)
by Subrata DasThis book presents tools and techniques for descriptive, predictive, and prescriptive analytics applicable across multiple domains. The author first covers core descriptive and inferential statistics for analytics and then enhances numerical statistical techniques with symbolic artificial intelligence and machine learning techniques for richer predictive and prescriptive analytics. Through many examples and challenging case studies from a variety of fields, practitioners easily see the connections to their own problems and can then formulate their own solution strategies.
Computational Design for Landscape Architects
by Brendan HarmonThis book is a guide to computational design for landscape architects replete with extensive tutorials. It introduces algorithmic approaches for modeling and designing landscapes. The aim of this book is to use algorithms to understand and design landscape as a generative system, i.e. to harness the processes that shape landscape to generate new forms. An algorithmic approach to design is gently introduced through visual programming with Grasshopper, before more advanced methods are taught in Python, a high-level programming language. Topics covered include parametric design, randomness and noise, waves and attractors, lidar, drone photogrammetry, point cloud modeling, terrain modeling, earthworks, digital fabrication, and more. The chapters include sections on theory, methods, and either visual programming or scripting. Online resources for the book include code and datasets so that readers can easily follow along and try out the methods presented. This book is a much-needed guide, both theoretical and practical, on computational design for students, educators, and practitioners of landscape architecture.
Computational Economic Analysis for Engineering and Industry (Systems Innovation Book Series)
by Adedeji B. Badiru Olufemi A. OmitaomuRecent global anxiety indicates that more focus needs to be directed at economic issues related to industry. Conventional techniques often do not adequately embrace the integrated global factors that affect unique industries and industry focused computational tools have not been readily available. Until now. Computational Economic Analysis for Engi
Computational Economics: A concise introduction
by Oscar Afonso Paulo B. VasconcelosComputational Economics: A concise introduction is a comprehensive textbook designed to help students move from the traditional and comparative static analysis of economic models, to a modern and dynamic computational study. The ability to equate an economic problem, to formulate it into a mathematical model and to solve it computationally is becoming a crucial and distinctive competence for most economists. This vital textbook is organized around static and dynamic models, covering both macro and microeconomic topics, exploring the numerical techniques required to solve those models. A key aim of the book is to enable students to develop the ability to modify the models themselves so that, using the MATLAB/Octave codes provided on the book and on the website, students can demonstrate a complete understanding of computational methods. This textbook is innovative, easy to read and highly focused, providing students of economics with the skills needed to understand the essentials of using numerical methods to solve economic problems. It also provides more technical readers with an easy way to cope with economics through modelling and simulation. Later in the book, more elaborate economic models and advanced numerical methods are introduced which will prove valuable to those in more advanced study. This book is ideal for all students of economics, mathematics, computer science and engineering taking classes on Computational or Numerical Economics.
Computational Economics
by David A. Kendrick P. Ruben Mercado Hans M. AmmanThe ability to conceptualize an economic problem verbally, to formulate it as a mathematical model, and then represent the mathematics in software so that the model can be solved on a computer is a crucial skill for economists. Computational Economics contains well-known models--and some brand-new ones--designed to help students move from verbal to mathematical to computational representations in economic modeling. The authors' focus, however, is not just on solving the models, but also on developing the ability to modify them to reflect one's interest and point of view. The result is a book that enables students to be creative in developing models that are relevant to the economic problems of their times. Unlike other computational economics textbooks, this book is organized around economic topics, among them macroeconomics, microeconomics, and finance. The authors employ various software systems--including MATLAB, Mathematica, GAMS, the nonlinear programming solver in Excel, and the database systems in Access--to enable students to use the most advantageous system. The book progresses from relatively simple models to more complex ones, and includes appendices on the ins and outs of running each program. The book is intended for use by advanced undergraduates and professional economists and even, as a first exposure to computational economics, by graduate students. Organized by economic topics Progresses from simple to more complex models Includes instructions on numerous software systems Encourages customization and creativity
Computational Finance: An Introductory Course with R (Atlantis Studies in Computational Finance and Financial Engineering #1)
by Argimiro ArratiaThe book covers a wide range of topics, yet essential, in Computational Finance (CF), understood as a mix of Finance, Computational Statistics, and Mathematics of Finance. In that regard it is unique in its kind, for it touches upon the basic principles of all three main components of CF, with hands-on examples for programming models in R. Thus, the first chapter gives an introduction to the Principles of Corporate Finance: the markets of stock and options, valuation and economic theory, framed within Computation and Information Theory (e. g. the famous Efficient Market Hypothesis is stated in terms of computational complexity, a new perspective). Chapters 2 and 3 give the necessary tools of Statistics for analyzing financial time series, it also goes in depth into the concepts of correlation, causality and clustering. Chapters 4 and 5 review the most important discrete and continuous models for financial time series. Each model is provided with an example program in R. Chapter 6 covers the essentials of Technical Analysis (TA) and Fundamental Analysis. This chapter is suitable for people outside academics and into the world of financial investments, as a primer in the methods of charting and analysis of value for stocks, as it is done in the financial industry. Moreover, a mathematical foundation to the seemly ad-hoc methods of TA is given, and this is new in a presentation of TA. Chapter 7 reviews the most important heuristics for optimization: simulated annealing, genetic programming, and ant colonies (swarm intelligence) which is material to feed the computer savvy readers. Chapter 8 gives the basic principles of portfolio management, through the mean-variance model, and optimization under different constraints which is a topic of current research in computation, due to its complexity. One important aspect of this chapter is that it teaches how to use the powerful tools for portfolio analysis from the RMetrics R-package. Chapter 9 is a natural continuation of chapter 8 into the new area of research of online portfolio selection. The basic model of the universal portfolio of Cover and approximate methods to compute are also described.
Computational Finance: MATLAB® Oriented Modeling (Routledge-Giappichelli Studies in Business and Management)
by Francesco CesaroneComputational finance is increasingly important in the financial industry, as a necessary instrument for applying theoretical models to real-world challenges. Indeed, many models used in practice involve complex mathematical problems, for which an exact or a closed-form solution is not available. Consequently, we need to rely on computational techniques and specific numerical algorithms. This book combines theoretical concepts with practical implementation. Furthermore, the numerical solution of models is exploited, both to enhance the understanding of some mathematical and statistical notions, and to acquire sound programming skills in MATLAB®, which is useful for several other programming languages also. The material assumes the reader has a relatively limited knowledge of mathematics, probability, and statistics. Hence, the book contains a short description of the fundamental tools needed to address the two main fields of quantitative finance: portfolio selection and derivatives pricing. Both fields are developed here, with a particular emphasis on portfolio selection, where the author includes an overview of recent approaches. The book gradually takes the reader from a basic to medium level of expertise by using examples and exercises to simplify the understanding of complex models in finance, giving them the ability to place financial models in a computational setting. The book is ideal for courses focusing on quantitative finance, asset management, mathematical methods for economics and finance, investment banking, and corporate finance.