- Table View
- List View
An Introduction To Project Management, Seventh Edition: Predictive, Agile, And Hybrid Approaches
by Kathy SchwalbeThe seventh edition of An Introduction to Project Management has been updated to include information from the Project Management Institute's PMBOK® Guide – Seventh Edition (2021) as well as information from the Sixth Edition (2017). It includes coverage of predictive/waterfall, agile/adaptive, and hybrid approaches to managing projects. A second running case (in addition to the predictive Just-In-Time Training project) focusing on an agile/hybrid approach has been added (call Global Construction Human Capital project), including samples of a product vision statement, product roadmap, release plan, product backlog, user stories, burndown charts, etc. A brand new Chapter 10 now covers the PMP® and Other Certifications. New research, statistics, and real-world examples are included throughout the book. It also incorporates updated information and screenshots from several software tools. Each chapter includes several real-world examples and references, including opening cases and case wrap-ups, examples of what went right, what went wrong, media snapshots, best practices, and video highlights in each chapter. End of chapter materials include chapter summaries, quick quizzes, discussion questions, and exercises with case studies and other resources provided in an appendix. The free student website includes template files, online quizzes, links to Video Highlights, and much more. A comprehensive, secure instructor site is available with lecture slides, solution files, test banks, etc.
An Introduction To Public History: Interpreting The Past, Engaging Audiences
by Cherstin Lyon Elizabeth Nix Rebecca ShrumIntroduction to Public History: Interpreting the Past, Engaging Audiences is a brief foundational textbook for public history. It is organized around the questions and ethical dilemmas that drive public history in a variety of settings, from local community-based projects to international case studies. <p><p> This book is designed for use in undergraduate and graduate classrooms with future public historians, teachers, and consumers of history in mind. The authors are practicing public historians who teach history and public history to a mix of undergraduate and graduate students at universities across the United States and in international contexts. <p><p> This book is based on original research and the authors' first-hand experiences, offering a fresh perspective on the dynamic field of public history based on a decade of consultation with public history educators about what they needed in an introductory textbook. Each chapter introduces a concept or common practice to students, highlighting key terms for student review and for instructor assessment of student learning. The body of each chapter introduces theories, and basic conceptual building blocks intermixed with case studies to illustrate these points. Footnotes credit sources but also serve as breadcrumbs for instructors who might like to assign more in-depth reading for more advanced students or for the purposes of lecture development. Each chapter ends with suggestions for activities that the authors have tried with their own students and suggested readings, books, and websites that can deepen student exposure to the topic.
An Introduction To Quantum Field Theory
by Michael E. Peskin Daniel V. SchroederAn Introduction to Quantum Field Theoryis a textbook intended for the graduate physics course covering relativistic quantum mechanics, quantum electrodynamics, and Feynman diagrams. The authors make these subjects accessible through carefully worked examples illustrating the technical aspects of the subject, and intuitive explanations of what is going on behind the mathematics. After presenting the basics of quantum electrodynamics, the authors discuss the theory of renormalization and its relation to statistical mechanics, and introduce the renormalization group. This discussion sets the stage for a discussion of the physical principles that underlie the fundamental interactions of elementary particle physics and their description by gauge field theories.
An Introduction To Quantum Field Theory
by Michael E. Peskin Daniel V. SchroederAn Introduction to Quantum Field Theory is a textbook intended for the graduate physics course covering relativistic quantum mechanics, quantum electrodynamics, and Feynman diagrams. The authors make these subjects accessible through carefully worked examples illustrating the technical aspects of the subject, and intuitive explanations of what is going on behind the mathematics. After presenting the basics of quantum electrodynamics, the authors discuss the theory of renormalization and its relation to statistical mechanics, and introduce the renormalization group. This discussion sets the stage for a discussion of the physical principles that underlie the fundamental interactions of elementary particle physics and their description by gauge field theories.
An Introduction To Quantum Field Theory
by Michael E. Peskin Daniel V. SchroederAn Introduction to Quantum Field Theory is a textbook intended for the graduate physics course covering relativistic quantum mechanics, quantum electrodynamics, and Feynman diagrams. The authors make these subjects accessible through carefully worked examples illustrating the technical aspects of the subject, and intuitive explanations of what is going on behind the mathematics. After presenting the basics of quantum electrodynamics, the authors discuss the theory of renormalization and its relation to statistical mechanics, and introduce the renormalization group. This discussion sets the stage for a discussion of the physical principles that underlie the fundamental interactions of elementary particle physics and their description by gauge field theories.
An Introduction To Quantum Field Theory
by Michael E. Peskin Daniel V. SchroederAn Introduction to Quantum Field Theory is a textbook intended for the graduate physics course covering relativistic quantum mechanics, quantum electrodynamics, and Feynman diagrams. The authors make these subjects accessible through carefully worked examples illustrating the technical aspects of the subject, and intuitive explanations of what is going on behind the mathematics. After presenting the basics of quantum electrodynamics, the authors discuss the theory of renormalization and its relation to statistical mechanics, and introduce the renormalization group. This discussion sets the stage for a discussion of the physical principles that underlie the fundamental interactions of elementary particle physics and their description by gauge field theories.
An Introduction To Quantum Field Theory, Student Economy Edition (Frontiers in Physics)
by Michael Peskin"An Introduction to Quantum Field Theory" is a textbook intended for the graduate physics course covering relativistic quantum mechanics, quantum electrodynamics, and Feynman diagrams. The authors make these subjects accessible through carefully worked examples illustrating the technical aspects of the subject, and intuitive explanations of what is going on behind the mathematics. After presenting the basics of quantum electrodynamics, the authors discuss the theory of renormalization and its relation to statistical mechanics, and introduce the renormalization group. This discussion sets the stage for a discussion of the physical principles that underlie the fundamental interactions of elementary particle physics and their description by gauge field theories.
An Introduction To Staff Development In Academic Libraries
by Elizabeth ConnorAn indispensable resource for librarians of all roles, the case studies in An Introduction to Staff Development in Academic Libraries demonstrate the necessity and value of integrating the library's mission statement and strategic plan with bold approaches to staff orientation, training, mentoring, and development.
An Introduction To Stata Programming
by Christopher BaumChristopher F. Baum's An Introduction to Stata Programming, Second Edition, is a great reference for anyone that wants to learn Stata programming. For those learning, Baum assumes familiarity with Stata and gradually introduces more advanced programming tools. For the more advanced Stata programmer, the book introduces Stata's Mata programming language and optimization routines. <P><P>This new edition of the book reflects some of the most important statistical tools added since Stata 10, when the book was introduced. Of note are factor variables and operators, the computation of marginal effects, marginal means, and predictive margins using margins, the use of gmm to implement generalized method of moments estimation, and the use of suest for seemingly unrelated estimation. As in the previous edition of the book, Baum steps the reader through the three levels of Stata programming. He starts with do-files. Do-files are powerful batch files that support loops and conditional statements and are ideal to automate your workflow as well as to guarantee reproducibility of your work. <P><P>While giving examples of do-file programming, Baum introduces useful programming tips and advice. He then delves into ado-files, which are used to extend Stata by creating new commands that share the syntax and behavior of official commands. Baum gives an example of how to write a simple additional command for Stata, complete with documentation and certification. After writing the simple command, users can then learn how to write their own custom estimation commands by using both Stata's built-in numerical maximum-likelihood estimation routine, ml, its built-in nonlinear least-squares routines, nl and nlsur, and its built-in generalized method of moments estimation routine. <P><P>Finally, he introduces Mata, Stata's matrix programming language. Mata programs are integrated into ado-files to build a custom estimation routine that is optimized for speed and numerical stability. While discussing Mata, Baum presents useful topics for advanced programming such as structures and pointers and likelihood-function evaluators using Mata. Baum introduces concepts by providing the background and importance for the topic, presents common uses and examples, and then concludes with larger, more applied examples he refers to as "cookbook recipes". <P><P>Many of the examples in the book are of particular interest because they arose from frequently asked questions from Stata users. If you want to understand basic Stata programming or want to write your own routines and commands using advanced Stata tools, Baum's book is a great reference.
An Introduction To Statistical Learning: With Applications In R (Springer Texts In Statistics Ser.)
by Trevor Hastie Gareth James Robert Tibshirani Daniela WittenAn Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra. This Second Edition features new chapters on deep learning, survival analysis, and multiple testing, as well as expanded treatments of naïve Bayes, generalized linear models, Bayesian additive regression trees, and matrix completion. R code has been updated throughout to ensure compatibility.
An Introduction To The Atomic And Radiation Physics Of Plasmas
by G. J. TallentsPlasmas comprise more than 99% of the observable universe. They are important in many technologies and are key potential sources for fusion power. Atomic and radiation physics is critical for the diagnosis, observation and simulation of astrophysical and laboratory plasmas, and plasma physicists working in a range of areas from astrophysics, magnetic fusion, and inertial fusion utilise atomic and radiation physics to interpret measurements. This text develops the physics of emission, absorption and interaction of light in astrophysics and in laboratory plasmas from first principles using the physics of various fields of study including quantum mechanics, electricity and magnetism, and statistical physics. Linking undergraduate level atomic and radiation physics with the advanced material required for postgraduate study and research, this text adopts a highly pedagogical approach and includes numerous exercises within each chapter for students to reinforce their understanding of the key concepts.
An Introduction To The Event-related Potential Technique
by Steven J. LuckAn essential guide to designing, conducting, and analyzing event-related potential (ERP) experiments, completely updated for this edition. The event-related potential (ERP) technique, in which neural responses to specific events are extracted from the EEG, provides a powerful noninvasive tool for exploring the human brain. This volume describes practical methods for ERP research along with the underlying theoretical rationale. It offers researchers and students an essential guide to designing, conducting, and analyzing ERP experiments. This second edition has been completely updated, with additional material, new chapters, and more accessible explanations. Freely available supplementary material, including several online-only chapters, offer expanded or advanced treatment of selected topics. The first half of the book presents essential background information, describing the origins of ERPs, the nature of ERP components, and the design of ERP experiments. The second half of the book offers a detailed treatment of the main steps involved in conducting ERP experiments, covering such topics as recording the EEG, filtering the EEG and ERP waveforms, and quantifying amplitudes and latencies. Throughout, the emphasis is on rigorous experimental design and relatively simple analyses. New material in the second edition includes entire chapters devoted to components, artifacts, measuring amplitudes and latencies, and statistical analysis; updated coverage of recording technologies; concrete examples of experimental design; and many more figures. Online chapters cover such topics as overlap, localization, writing and reviewing ERP papers, and setting up and running an ERP lab.
An Introduction To The New Testament
by D. A. Carson Douglas J. MooAn updated and expanded edition of a standard textbook on the New Testament for first- and second-year seminary students.
An Introduction To The Philosophy Of Social Research (Social Research Today Ser. #Vol. 9)
by Malcolm Williams Tim MayThis is an accessible introduction to the philosophy of social research which relates philosophical ideas to actual research practice. The book makes effective use of illustrations from the UK, US and Europe to examine specific problems and broader issues. The book is intended for undergraduate and postgraduate courses in social research methods within sociology, social policy, politics, social psychology, human geography; philosophy of social science and social theory courses; and as a personal reference for professional researchers.
An Introduction To The Psychology Of Dreaming, 2nd Edition
by Kelly BulkeleyWhy do people dream, and what do dreams mean? What do the most recent neuroscientific research and studies of patterns in dream content reveal about the functionality of dreams? How do the ideas of earlier generations of dream psychologists continue to influence the research of psychologists today? An Introduction to the Psychology of Dreaming covers all major theories in dream psychology from 1900 to the present day. It provides readers with a unique resource that focuses specifically on this lineage of research in dream psychology and is concise and accessibly written. Each chapter of the book analyzes a particular theory of dream psychology in terms of three basic questions: How are dreams formed? What functions do dreams serve? How can dreams be interpreted? By examining each theorist's answers to these questions, readers can clearly see how dream psychology theorists have both incorporated concepts from previous researchers and developed new ideas of their own. A breadth of psychological approaches is considered, from Freud and Jung to contemporary brain studies, giving readers an appreciation of the wide range of theories regarding this fascinating area of study.
An Introduction To The Stock Market And Investments: Study Guide And Workbook
by Rod Davis<P>This is a Study Guide and Workbook designed to help readers learn and remember the information in An Introduction to the Stock Market and Investments. <P>For each chapter in the book this Study Guide offers a summary that does more than simply restate the content of the book.<P> The summaries are designed to focus the reader's attention on subtleties and implications of the material to help them understand the relevance of the information to real-world investing situations. T<P>his is followed by several sample questions specifically meant to generate discussion on topics in the chapter.<P> Next, there is a 10-question True/False quiz and a word matching exercise.<P>The vocabulary exercise will help readers learn to understand the language of investing.<P> Answers to all questions are given at the end of each chapter.
An Introduction To The Stock Market And Investments: What You Need To Know Before You Invest
by Rod Davis<P>The stock market has changed more in the last few years than it had previously over its entire history.<P> Investing today is driven by technology, which can be both a blessing and a curse.<P> It is as if faster computing speeds compel people to faster trading. But that is a mistake.<P> The market has always favored long-term investors over speedy speculators, and it has never favored those who have not learned the basics.<P> What is the stock market?<P> What is a stock?<P> How does the economy affect your investments? <P>What types of accounts can you set up? <P>What are your rights as an investor?<P> There are many books that teach trading strategies, but few that encourage you to lay a foundation before you put money into building on it. <P>This book will teach you what you need to know before you invest.
An Introduction To The Study Of Literature
by William Henry HudsonThe aim of this book is to set forth, in the simplest possible way, some of the questions to be considered and the principles to be kept in view in the systematic study of literature.
An Introduction To The Theory Of Superfluidity (Advanced Books Classics Ser.)
by Isaac M. KhalatnikovA classic from 1965, this book covers the main aspects of the theory of quantum liquids, including the elementary excitation spectrum, hydrodynamics, and kinetic phenomena. The book requires no special training and assumes only general knowledge of the fundamentals of theoretical physics. It was developed from studies at the Institute of Physical Problems of the U.S.S.R. Academy of Sciences and can be used as a guide for professors teaching quantum liquid theory or as a text for graduate students.
An Introduction To Theories Of Personality
by B. R. Hergenhahn Matthew H. OlsonAn Introduction to Theories of Personality, , 8/e -- is just the standalone book For Sophomore/Junior level courses in Theories of Personality, Personality, or Personality Psychology. Using a theorist-by-theorist approach, this comprehensive introduction to personality theory gives students the history of psychology with practical information to help them understand their own lives and their relationships with others. Primary sources, abundant biographical information and supporting research are used to descibe and detail each theorist, presenting the theories of personality in an accessible and unbiased way.
An Introduction To Usability
by Patrick W. JordanThis work gives a broad introductory overview of the topic of usability. Firstly, usability is defined and a framework for identifying different aspects of usability is given. The main principles for creating usable designs are expounded, followed by practical advice as to how to design usable products. The book then tackles the issue of usability evaluation - a series of evaluation methods are described, followed by practical advice as to how to conduct the evaluation. The book draws on examples from software design and product design generally. This means whilst human-computer interaction HCI is a central issue in the book, other usability issues are also covered.
An Introduction To Viscosity Solutions for Fully Nonlinear PDE with Applications to Calculus of Variations in L (SpringerBriefs in Mathematics)
by Nikos KatzourakisThe purpose of this book is to give a quick and elementary, yet rigorous, presentation of the rudiments of the so-called theory of Viscosity Solutions which applies to fully nonlinear 1st and 2nd order Partial Differential Equations (PDE). For such equations, particularly for 2nd order ones, solutions generally are non-smooth and standard approaches in order to define a "weak solution" do not apply: classical, strong almost everywhere, weak, measure-valued and distributional solutions either do not exist or may not even be defined. The main reason for the latter failure is that, the standard idea of using "integration-by-parts" in order to pass derivatives to smooth test functions by duality, is not available for non-divergence structure PDE.
An Introduction To the Logic of Psychological Measurement
by Joel MichellThis book declines to take for granted the widespread assumption that existing psychometric procedures provide scientific measurement. The currently fashionable concepts of measurement within psychology -- operationalism and representationalism -- are critically examined, and the classical view, that measurement is the assessment of quantity, is defended. Within this framework, it is shown how conjoint measurement can be used to test the hypothesis that variables are quantitative. This theme is developed in detail using familiar psychological examples, such as Thurstone's law of comparative judgment, multidimensional scaling, and Coombs' theory of unfolding.
An Introduction to 3D Computer Vision Techniques and Algorithms
by Boguslaw Cyganek J. Paul SiebertComputer vision encompasses the construction of integrated vision systems and the application of vision to problems of real-world importance. The process of creating 3D models is still rather difficult, requiring mechanical measurement of the camera positions or manual alignment of partial 3D views of a scene. However using algorithms, it is possible to take a collection of stereo-pair images of a scene and then automatically produce a photo-realistic, geometrically accurate digital 3D model.This book provides a comprehensive introduction to the methods, theories and algorithms of 3D computer vision. Almost every theoretical issue is underpinned with practical implementation or a working algorithm using pseudo-code and complete code written in C++ and MatLab®. There is the additional clarification of an accompanying website with downloadable software, case studies and exercises. Organised in three parts, Cyganek and Siebert give a brief history of vision research, and subsequently: present basic low-level image processing operations for image matching, including a separate chapter on image matching algorithms;explain scale-space vision, as well as space reconstruction and multiview integration;demonstrate a variety of practical applications for 3D surface imaging and analysis;provide concise appendices on topics such as the basics of projective geometry and tensor calculus for image processing, distortion and noise in images plus image warping procedures.An Introduction to 3D Computer Vision Algorithms and Techniques is a valuable reference for practitioners and programmers working in 3D computer vision, image processing and analysis as well as computer visualisation. It would also be of interest to advanced students and researchers in the fields of engineering, computer science, clinical photography, robotics, graphics and mathematics.
An Introduction to 5G: The New Radio, 5G Network and Beyond
by Christopher CoxA comprehensive and approachable introduction to 5G Written by a noted expert on the subject, An Introduction to 5G: The New Radio, 5G Network and Beyond offers an introductory system-level guide to 5G. The material covered includes: The use cases and requirements of the 5G system The architecture of the next generation radio access network and the 5G core The principles of radio transmission, millimetre waves and MIMO antennas The architecture and detailed design of the 5G new radio The implementation of HTTP/2 on the service-based interfaces of the 5G core The signalling procedures that govern the end-to-end-operation of the system The new features that are introduced in Releases 16 and 17 An Introduction to 5G is written for engineering professionals in mobile telecommunications, for those in non-technical roles such as management, marketing and intellectual property, and for students. It requires no more than a basic understanding of mobile communications, and includes detailed references to the underlying 3GPP specifications for 5G. The book's approach provides a comprehensive, end-to-end overview of the 5G standard, which enables readers to move on with confidence to the more specialized texts and to the specifications themselves.