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Written for use in teaching and for self-study, this book provides a comprehensive and pedagogical introduction to groups, algebras, geometry, and topology. It assimilates modern applications of these concepts, assuming only an advanced undergraduate preparation in physics. It provides a balanced view of group theory, Lie algebras, and topological concepts, while emphasizing a broad range of modern applications such as Lorentz and Poincaré invariance, coherent states, quantum phase transitions, the quantum Hall effect, topological matter, and Chern numbers, among many others. An example based approach is adopted from the outset, and the book includes worked examples and informational boxes to illustrate and expand on key concepts. 344 homework problems are included, with full solutions available to instructors, and a subset of 172 of these problems have full solutions available to students.
Written for use in teaching and for self-study, this book provides a comprehensive and pedagogical introduction to groups, algebras, geometry, and topology. It assimilates modern applications of these concepts, assuming only an advanced undergraduate preparation in physics. It provides a balanced view of group theory, Lie algebras, and topological concepts, while emphasizing a broad range of modern applications such as Lorentz and Poincaré invariance, coherent states, quantum phase transitions, the quantum Hall effect, topological matter, and Chern numbers, among many others. An example based approach is adopted from the outset, and the book includes worked examples and informational boxes to illustrate and expand on key concepts. 344 homework problems are included, with full solutions available to instructors, and a subset of 172 of these problems have full solutions available to students.
Connecting theory with practice, this systematic and rigorous introduction covers the fundamental principles, algorithms and applications of key mathematical models for high-dimensional data analysis. Comprehensive in its approach, it provides unified coverage of many different low-dimensional models and analytical techniques, including sparse and low-rank models, and both convex and non-convex formulations. Readers will learn how to develop efficient and scalable algorithms for solving real-world problems, supported by numerous examples and exercises throughout, and how to use the computational tools learnt in several application contexts. Applications presented include scientific imaging, communication, face recognition, 3D vision, and deep networks for classification. With code available online, this is an ideal textbook for senior and graduate students in computer science, data science, and electrical engineering, as well as for those taking courses on sparsity, low-dimensional structures, and high-dimensional data. Foreword by Emmanuel Candès.
Connecting theory with practice, this systematic and rigorous introduction covers the fundamental principles, algorithms and applications of key mathematical models for high-dimensional data analysis. Comprehensive in its approach, it provides unified coverage of many different low-dimensional models and analytical techniques, including sparse and low-rank models, and both convex and non-convex formulations. Readers will learn how to develop efficient and scalable algorithms for solving real-world problems, supported by numerous examples and exercises throughout, and how to use the computational tools learnt in several application contexts. Applications presented include scientific imaging, communication, face recognition, 3D vision, and deep networks for classification. With code available online, this is an ideal textbook for senior and graduate students in computer science, data science, and electrical engineering, as well as for those taking courses on sparsity, low-dimensional structures, and high-dimensional data. Foreword by Emmanuel Candès.
Being literate in the twenty-first century means being an empowered receiver, user and creator of diverse text types communicated across multiple and rapidly changing modalities. English and Literacies: Learning to make meaning in primary classrooms is an accessible resource that introduces pre-service teachers to the many facets of literacies and English education for primary students. Addressing the requirements of the Australian Curriculum and the Early Years Learning Framework, English and Literacies explores how students develop oracy and literacy. Reading, viewing and writing are discussed alongside the importance of children's literature. Taking an inclusive and positive approach to teaching and learning for all students, it explores the creation of texts using spelling, grammar in context and handwriting/keyboarding skills, as well as the need for authentic assessment and reporting. Finally, the text explores the importance of literacy partnerships and how teachers can address literacy challenges across the curriculum.
Being literate in the twenty-first century means being an empowered receiver, user and creator of diverse text types communicated across multiple and rapidly changing modalities. English and Literacies: Learning to make meaning in primary classrooms is an accessible resource that introduces pre-service teachers to the many facets of literacies and English education for primary students. Addressing the requirements of the Australian Curriculum and the Early Years Learning Framework, English and Literacies explores how students develop oracy and literacy. Reading, viewing and writing are discussed alongside the importance of children's literature. Taking an inclusive and positive approach to teaching and learning for all students, it explores the creation of texts using spelling, grammar in context and handwriting/keyboarding skills, as well as the need for authentic assessment and reporting. Finally, the text explores the importance of literacy partnerships and how teachers can address literacy challenges across the curriculum.
This unique textbook equips students with the theoretical and practical tools needed to model, design, and build efficient and clean low-carbon energy systems. Students are introduced to thermodynamics principles including chemical and electrochemical thermodynamics, moving onto applications in real-world energy systems, demonstrating the connection between fundamental concepts and theoretical analysis, modelling, application, and design. Topics gradually increase in complexity, nurturing student confidence as they build towards the use of advanced concepts and models for low to zero carbon energy conversion systems. The textbook covers conventional and emerging renewable energy conversion systems, including efficient fuel cells, carbon capture cycles, biomass utilisation, geothermal and solar thermal systems, hydrogen and low-carbon fuels. Featuring numerous worked examples, over 100 multi-component homework problems, and online instructor resources including lecture slides, solutions, and sample term projects, this textbook is the perfect teaching resource for an advanced undergraduate and graduate-level course in energy conversion engineering.
This unique textbook equips students with the theoretical and practical tools needed to model, design, and build efficient and clean low-carbon energy systems. Students are introduced to thermodynamics principles including chemical and electrochemical thermodynamics, moving onto applications in real-world energy systems, demonstrating the connection between fundamental concepts and theoretical analysis, modelling, application, and design. Topics gradually increase in complexity, nurturing student confidence as they build towards the use of advanced concepts and models for low to zero carbon energy conversion systems. The textbook covers conventional and emerging renewable energy conversion systems, including efficient fuel cells, carbon capture cycles, biomass utilisation, geothermal and solar thermal systems, hydrogen and low-carbon fuels. Featuring numerous worked examples, over 100 multi-component homework problems, and online instructor resources including lecture slides, solutions, and sample term projects, this textbook is the perfect teaching resource for an advanced undergraduate and graduate-level course in energy conversion engineering.
The Laplace transform is a useful mathematical tool encountered by students of physics, engineering, and applied mathematics, within a wide variety of important applications in mechanics, electronics, thermodynamics and more. However, students often struggle with the rationale behind these transforms, and the physical meaning of the transform results. Using the same approach that has proven highly popular in his other Student's Guides, Professor Fleisch addresses the topics that his students have found most troublesome; providing a detailed and accessible description of Laplace transforms and how they relate to Fourier and Z-transforms. Written in plain language and including numerous, fully worked examples. The book is accompanied by a website containing a rich set of freely available supporting materials, including interactive solutions for every problem in the text, and a series of podcasts in which the author explains the important concepts, equations, and graphs of every section of the book.
The Laplace transform is a useful mathematical tool encountered by students of physics, engineering, and applied mathematics, within a wide variety of important applications in mechanics, electronics, thermodynamics and more. However, students often struggle with the rationale behind these transforms, and the physical meaning of the transform results. Using the same approach that has proven highly popular in his other Student's Guides, Professor Fleisch addresses the topics that his students have found most troublesome; providing a detailed and accessible description of Laplace transforms and how they relate to Fourier and Z-transforms. Written in plain language and including numerous, fully worked examples. The book is accompanied by a website containing a rich set of freely available supporting materials, including interactive solutions for every problem in the text, and a series of podcasts in which the author explains the important concepts, equations, and graphs of every section of the book.
At the heart of this book is a belief that poetry matters, and that it enables us to enjoy and understand life. In this accessible guide, Andrew Hodgson equips the reader for the challenging and rewarding experience of unlocking poetry, considering the key questions about language, technique, feeling and subject matter which illuminate what a poem has to say. In a lucid and sympathetic manner, he considers a diverse range of poets writing in English to demonstrate how their work enlarges our perception of ourselves and our world. The process of independent research is modeled step-by-step, as the guide shows where to start, how to develop ideas, and how to draw conclusions. Providing guidance on how to plan, organise and write essays, close readings and commentaries, from initial annotation to final editing, this book will provide you with the confidence to discover and express your own personal response to poetry.
At the heart of this book is a belief that poetry matters, and that it enables us to enjoy and understand life. In this accessible guide, Andrew Hodgson equips the reader for the challenging and rewarding experience of unlocking poetry, considering the key questions about language, technique, feeling and subject matter which illuminate what a poem has to say. In a lucid and sympathetic manner, he considers a diverse range of poets writing in English to demonstrate how their work enlarges our perception of ourselves and our world. The process of independent research is modeled step-by-step, as the guide shows where to start, how to develop ideas, and how to draw conclusions. Providing guidance on how to plan, organise and write essays, close readings and commentaries, from initial annotation to final editing, this book will provide you with the confidence to discover and express your own personal response to poetry.
The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. 'Data science' and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? How does it all fit together? Now in paperback and fortified with exercises, this book delivers a concentrated course in modern statistical thinking. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov Chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. Each chapter ends with class-tested exercises, and the book concludes with speculation on the future direction of statistics and data science.
The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. 'Data science' and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? How does it all fit together? Now in paperback and fortified with exercises, this book delivers a concentrated course in modern statistical thinking. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov Chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. Each chapter ends with class-tested exercises, and the book concludes with speculation on the future direction of statistics and data science.
Dispute management processes are becoming the norm as a precursor, or an alternative, to traditional court-based litigation. Dispute Management is a clear and concise introduction to an expansive range of dispute processes. Beginning with communication theory and practice, and the historical, philosophical and cultural considerations of dispute management, the book then addresses the traditional topics of negotiation, mediation and litigation, as well as interviewing, collaborative law and arbitration. Each topic is well-researched, offering the necessary depth, socio-legal considerations and balanced coverage of theory and practice. Chapters address relevant ethical and cultural issues and is supported by array of interesting examples that promote discussion. Case studies at the end of each chapter link theory to practice and present disputes between neighbours, conflict in the workplace and cases that make it to trial. Offering a combination of theoretical insights and practical information Dispute Management is a vital resource for students, lawyers and dispute practitioners.
Dispute management processes are becoming the norm as a precursor, or an alternative, to traditional court-based litigation. Dispute Management is a clear and concise introduction to an expansive range of dispute processes. Beginning with communication theory and practice, and the historical, philosophical and cultural considerations of dispute management, the book then addresses the traditional topics of negotiation, mediation and litigation, as well as interviewing, collaborative law and arbitration. Each topic is well-researched, offering the necessary depth, socio-legal considerations and balanced coverage of theory and practice. Chapters address relevant ethical and cultural issues and is supported by array of interesting examples that promote discussion. Case studies at the end of each chapter link theory to practice and present disputes between neighbours, conflict in the workplace and cases that make it to trial. Offering a combination of theoretical insights and practical information Dispute Management is a vital resource for students, lawyers and dispute practitioners.
This student friendly and self-explanatory textbook attempts to help readers, engineering students in India, grasp the basic concepts of engineering drawing clearly and easily. Care has been taken to include topics that mesh well with the syllabi of most universities, colleges and polytechnic institutes in India. Important topics, such as projection of solids, auxiliary projections, section of solids, isometric projections, orthographic projections and projection of planes, have been discussed comprehensively. Heavy emphasis has also been put on the actual figures described in the text, both from the first angle and third angle projection methods. A chapter on computer graphics further integrates these concepts with modern manual computer aided design. Finally, hundreds of solved examples, practice problems and objective-type questions with answers have been added to ensure the learning objectives of each chapter have been achieved.
This student friendly and self-explanatory textbook attempts to help readers, engineering students in India, grasp the basic concepts of engineering drawing clearly and easily. Care has been taken to include topics that mesh well with the syllabi of most universities, colleges and polytechnic institutes in India. Important topics, such as projection of solids, auxiliary projections, section of solids, isometric projections, orthographic projections and projection of planes, have been discussed comprehensively. Heavy emphasis has also been put on the actual figures described in the text, both from the first angle and third angle projection methods. A chapter on computer graphics further integrates these concepts with modern manual computer aided design. Finally, hundreds of solved examples, practice problems and objective-type questions with answers have been added to ensure the learning objectives of each chapter have been achieved.
An R Companion for the Third Edition of The Fundamentals of Political Science Research offers students a chance to delve into the world of R using real political data sets and statistical analysis techniques directly from Paul M. Kellstedt and Guy D. Whitten's best-selling textbook. Built in parallel with the main text, this workbook teaches students to apply the techniques they learn in each chapter by reproducing the analyses and results from each lesson using R. Students will also learn to create all of the tables and figures found in the textbook, leading to an even greater mastery of the core material. This accessible, informative, and engaging companion walks through the use of R step-by-step, using command lines and screenshots to demonstrate proper use of the software. With the help of these guides, students will become comfortable creating, editing, and using data sets in R to produce original statistical analyses for evaluating causal claims. End-of-chapter exercises encourage this innovation by asking students to formulate and evaluate their own hypotheses.
An R Companion for the Third Edition of The Fundamentals of Political Science Research offers students a chance to delve into the world of R using real political data sets and statistical analysis techniques directly from Paul M. Kellstedt and Guy D. Whitten's best-selling textbook. Built in parallel with the main text, this workbook teaches students to apply the techniques they learn in each chapter by reproducing the analyses and results from each lesson using R. Students will also learn to create all of the tables and figures found in the textbook, leading to an even greater mastery of the core material. This accessible, informative, and engaging companion walks through the use of R step-by-step, using command lines and screenshots to demonstrate proper use of the software. With the help of these guides, students will become comfortable creating, editing, and using data sets in R to produce original statistical analyses for evaluating causal claims. End-of-chapter exercises encourage this innovation by asking students to formulate and evaluate their own hypotheses.
Based on the author's forty years of teaching experience, this unique textbook covers both basic and advanced concepts of optimization theory and methods for process systems engineers. Topics covered include continuous, discrete and logic optimization (linear, nonlinear, mixed-integer and generalized disjunctive programming), optimization under uncertainty (stochastic programming and flexibility analysis), and decomposition techniques (Lagrangean and Benders decomposition). Assuming only a basic background in calculus and linear algebra, it enables easy understanding of mathematical reasoning, and numerous examples throughout illustrate key concepts and algorithms. End-of-chapter exercises involving theoretical derivations and small numerical problems, as well as in modeling systems like GAMS, enhance understanding and help put knowledge into practice. Accompanied by two appendices containing web links to modeling systems and models related to applications in PSE, this is an essential text for single-semester, graduate courses in process systems engineering in departments of chemical engineering.
Based on the author's forty years of teaching experience, this unique textbook covers both basic and advanced concepts of optimization theory and methods for process systems engineers. Topics covered include continuous, discrete and logic optimization (linear, nonlinear, mixed-integer and generalized disjunctive programming), optimization under uncertainty (stochastic programming and flexibility analysis), and decomposition techniques (Lagrangean and Benders decomposition). Assuming only a basic background in calculus and linear algebra, it enables easy understanding of mathematical reasoning, and numerous examples throughout illustrate key concepts and algorithms. End-of-chapter exercises involving theoretical derivations and small numerical problems, as well as in modeling systems like GAMS, enhance understanding and help put knowledge into practice. Accompanied by two appendices containing web links to modeling systems and models related to applications in PSE, this is an essential text for single-semester, graduate courses in process systems engineering in departments of chemical engineering.
This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to carry out data analysis; and to visualize and interpret results to support better decisions in business, economics, and public policy. Data wrangling and exploration, regression analysis, machine learning, and causal analysis are comprehensively covered, as well as when, why, and how the methods work, and how they relate to each other. As the most effective way to communicate data analysis, running case studies play a central role in this textbook. Each case starts with an industry-relevant question and answers it by using real-world data and applying the tools and methods covered in the textbook. Learning is then consolidated by 360 practice questions and 120 data exercises. Extensive online resources, including raw and cleaned data and codes for all analysis in Stata, R, and Python, can be found at www.gabors-data-analysis.com.
This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to carry out data analysis; and to visualize and interpret results to support better decisions in business, economics, and public policy. Data wrangling and exploration, regression analysis, machine learning, and causal analysis are comprehensively covered, as well as when, why, and how the methods work, and how they relate to each other. As the most effective way to communicate data analysis, running case studies play a central role in this textbook. Each case starts with an industry-relevant question and answers it by using real-world data and applying the tools and methods covered in the textbook. Learning is then consolidated by 360 practice questions and 120 data exercises. Extensive online resources, including raw and cleaned data and codes for all analysis in Stata, R, and Python, can be found at www.gabors-data-analysis.com.
How can we use visual and material culture to shed light on the past? Ludmilla Jordanova offers a fascinating and thoughtful introduction to the role of images, objects and buildings in the study of past times. Through a combination of thematic chapters and essays on specific artefacts – a building, a piece of sculpture, a photographic exhibition and a painted portrait – she shows how to analyse the agency and visual intelligence of artists, makers and craftsmen and make sense of changes in visual experience over time. Generously illustrated and drawing on numerous examples of images and objects from 1600 to the present, this is an essential guide to the skills that students need in order to describe, analyse and contextualise visual evidence. The Look of the Past will encourage readers to think afresh about how they, like people in the past, see and interpret the world around them.
How can we use visual and material culture to shed light on the past? Ludmilla Jordanova offers a fascinating and thoughtful introduction to the role of images, objects and buildings in the study of past times. Through a combination of thematic chapters and essays on specific artefacts – a building, a piece of sculpture, a photographic exhibition and a painted portrait – she shows how to analyse the agency and visual intelligence of artists, makers and craftsmen and make sense of changes in visual experience over time. Generously illustrated and drawing on numerous examples of images and objects from 1600 to the present, this is an essential guide to the skills that students need in order to describe, analyse and contextualise visual evidence. The Look of the Past will encourage readers to think afresh about how they, like people in the past, see and interpret the world around them.
Assuming no prior linguistics background, this introductory textbook summarises key topics and issues from workplace discourse research in a clear and accessible manner. The topics covered include how people issue directives, use humour and social talk, and how they manage conflict and disagreement. The role of language in the enactment of identity is also explored, in particular leadership, gender, and cultural identity, along with the implications and applications of workplace research for training and communications skills development. Over 160 international examples are provided as illustration, which come from a wide range of workplace settings, countries and languages. The examples focus on authentic spoken discourse, to demonstrate how theory captures the patterns found in everyday interaction. Introducing Language in the Workplace provides an excellent up-to-date resource for linguistics courses as well as other courses that cover workplace discourse, such as business communication or management studies.
Assuming no prior linguistics background, this introductory textbook summarises key topics and issues from workplace discourse research in a clear and accessible manner. The topics covered include how people issue directives, use humour and social talk, and how they manage conflict and disagreement. The role of language in the enactment of identity is also explored, in particular leadership, gender, and cultural identity, along with the implications and applications of workplace research for training and communications skills development. Over 160 international examples are provided as illustration, which come from a wide range of workplace settings, countries and languages. The examples focus on authentic spoken discourse, to demonstrate how theory captures the patterns found in everyday interaction. Introducing Language in the Workplace provides an excellent up-to-date resource for linguistics courses as well as other courses that cover workplace discourse, such as business communication or management studies.
With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models for NLP under a unified framework. NLP problems are systematically organised by their machine learning nature, including classification, sequence labelling, and sequence-to-sequence problems. Topics covered include statistical machine learning and deep learning models, text classification and structured prediction models, generative and discriminative models, supervised and unsupervised learning with latent variables, neural networks, and transition-based methods. Rich connections are drawn between concepts throughout the book, equipping students with the tools needed to establish a deep understanding of NLP solutions, adapt existing models, and confidently develop innovative models of their own. Featuring a host of examples, intuition, and end of chapter exercises, plus sample code available as an online resource, this textbook is an invaluable tool for the upper undergraduate and graduate student.
With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models for NLP under a unified framework. NLP problems are systematically organised by their machine learning nature, including classification, sequence labelling, and sequence-to-sequence problems. Topics covered include statistical machine learning and deep learning models, text classification and structured prediction models, generative and discriminative models, supervised and unsupervised learning with latent variables, neural networks, and transition-based methods. Rich connections are drawn between concepts throughout the book, equipping students with the tools needed to establish a deep understanding of NLP solutions, adapt existing models, and confidently develop innovative models of their own. Featuring a host of examples, intuition, and end of chapter exercises, plus sample code available as an online resource, this textbook is an invaluable tool for the upper undergraduate and graduate student.
This textbook introduces fundamental concepts, major models, and popular applications of pattern recognition for a one-semester undergraduate course. To ensure student understanding, the text focuses on a relatively small number of core concepts with an abundance of illustrations and examples. Concepts are reinforced with hands-on exercises to nurture the student's skill in problem solving. New concepts and algorithms are framed by real-world context and established as part of the big picture introduced in an early chapter. A problem-solving strategy is employed in several chapters to equip students with an approach for new problems in pattern recognition. This text also points out common errors that a new player in pattern recognition may encounter, and fosters the ability for readers to find useful resources and independently solve a new pattern recognition task through various working examples. Students with an undergraduate understanding of mathematical analysis, linear algebra, and probability will be well prepared to master the concepts and mathematical analysis presented here.
This textbook introduces fundamental concepts, major models, and popular applications of pattern recognition for a one-semester undergraduate course. To ensure student understanding, the text focuses on a relatively small number of core concepts with an abundance of illustrations and examples. Concepts are reinforced with hands-on exercises to nurture the student's skill in problem solving. New concepts and algorithms are framed by real-world context and established as part of the big picture introduced in an early chapter. A problem-solving strategy is employed in several chapters to equip students with an approach for new problems in pattern recognition. This text also points out common errors that a new player in pattern recognition may encounter, and fosters the ability for readers to find useful resources and independently solve a new pattern recognition task through various working examples. Students with an undergraduate understanding of mathematical analysis, linear algebra, and probability will be well prepared to master the concepts and mathematical analysis presented here.
Coinage played a central role in the history of the Athenian naval empire of the fifth century BC. It made possible the rise of the empire itself, which was financed through tribute in coinage collected annually from the empire's approximately 200 cities. The empire's downfall was brought about by the wealth in Persian coinage that financed its enemies. This book surveys and illustrates, with nearly 200 examples, the extraordinary variety of silver and gold coinages that were employed in the history of the period, minted by cities within the empire and by those cities and rulers that came into contact with it. It also examines how coins supplement the literary sources and even attest to developments in the monetary history of the period that would otherwise be unknown. This is an accessible introduction to both the history of the Athenian empire and to the use of coins as evidence.
Coinage played a central role in the history of the Athenian naval empire of the fifth century BC. It made possible the rise of the empire itself, which was financed through tribute in coinage collected annually from the empire's approximately 200 cities. The empire's downfall was brought about by the wealth in Persian coinage that financed its enemies. This book surveys and illustrates, with nearly 200 examples, the extraordinary variety of silver and gold coinages that were employed in the history of the period, minted by cities within the empire and by those cities and rulers that came into contact with it. It also examines how coins supplement the literary sources and even attest to developments in the monetary history of the period that would otherwise be unknown. This is an accessible introduction to both the history of the Athenian empire and to the use of coins as evidence.
The finite element method (FEM) is indispensable in modeling and simulation in various engineering and physical systems, including structural analysis, stress, strain, fluid mechanics, heat transfer, dynamics, eigenproblems, design optimization, sound propagation, electromagnetics, and coupled field problems. This textbook integrates basic theory with real-life, design-oriented problems using ANSYS, the most commonly used computational software in the field. For students as well as practicing engineers and designers, each chapter is highly illustrated and presented in a step-by-step manner. Fundamental concepts are presented in detail with reference to easy to understand worked examples that clearly introduce the method before progressing to more advanced content. Included are step-by-step solutions for project type problems using modelling software, special chapters for modelling and the use of ANSYS and Workbench programs, and extensive sets of problems and projects round out each chapter.
The finite element method (FEM) is indispensable in modeling and simulation in various engineering and physical systems, including structural analysis, stress, strain, fluid mechanics, heat transfer, dynamics, eigenproblems, design optimization, sound propagation, electromagnetics, and coupled field problems. This textbook integrates basic theory with real-life, design-oriented problems using ANSYS, the most commonly used computational software in the field. For students as well as practicing engineers and designers, each chapter is highly illustrated and presented in a step-by-step manner. Fundamental concepts are presented in detail with reference to easy to understand worked examples that clearly introduce the method before progressing to more advanced content. Included are step-by-step solutions for project type problems using modelling software, special chapters for modelling and the use of ANSYS and Workbench programs, and extensive sets of problems and projects round out each chapter.
This modern introduction to particle physics equips students with the skills needed to develop a deep and intuitive understanding of the physical theory underpinning contemporary experimental results. The fundamental tools of particle physics are introduced and accompanied by historical profiles charting the development of the field. Theory and experiment are closely linked, with descriptions of experimental techniques used at CERN accompanied by detail on the physics of the Large Hadron Collider and the strong and weak forces that dominate proton collisions. Recent experimental results are featured, including the discovery of the Higgs boson. Equations are supported by physical interpretations, and end-of-chapter problems are based on datasets from a range of particle physics experiments including dark matter, neutrino, and collider experiments. A solutions manual for instructors is available online. Additional features include worked examples throughout, a detailed glossary of key terms, appendices covering essential background material, and extensive references and further reading to aid self-study, making this an invaluable resource for advanced undergraduates in physics.
This modern introduction to particle physics equips students with the skills needed to develop a deep and intuitive understanding of the physical theory underpinning contemporary experimental results. The fundamental tools of particle physics are introduced and accompanied by historical profiles charting the development of the field. Theory and experiment are closely linked, with descriptions of experimental techniques used at CERN accompanied by detail on the physics of the Large Hadron Collider and the strong and weak forces that dominate proton collisions. Recent experimental results are featured, including the discovery of the Higgs boson. Equations are supported by physical interpretations, and end-of-chapter problems are based on datasets from a range of particle physics experiments including dark matter, neutrino, and collider experiments. A solutions manual for instructors is available online. Additional features include worked examples throughout, a detailed glossary of key terms, appendices covering essential background material, and extensive references and further reading to aid self-study, making this an invaluable resource for advanced undergraduates in physics.
Numerous laws – including the Green New Deal – have been proposed or passed in cities, states, and countries to transition from fossil fuels to 100% clean, renewable energy in order to address climate change, air pollution, and energy insecurity. This textbook lays out the science, technology, economics, policy, and social aspects of such transitions. It discusses the renewable electricity and heat generating technologies needed; the electricity, heat, cold, and hydrogen storage technologies required; how to keep the electric power grid stable; and how to address non-energy sources of emissions. It discusses the history of the 100% Movement, which evolved from a collaboration among scientists, cultural leaders, business people, and community leaders. Finally, it discusses current progress in transitioning to 100% renewables, and the new policies needed to complete the transition. Online course supplements include lecture slides, answers to the end-of-chapter student exercises, and a list of extra resources.
Numerous laws – including the Green New Deal – have been proposed or passed in cities, states, and countries to transition from fossil fuels to 100% clean, renewable energy in order to address climate change, air pollution, and energy insecurity. This textbook lays out the science, technology, economics, policy, and social aspects of such transitions. It discusses the renewable electricity and heat generating technologies needed; the electricity, heat, cold, and hydrogen storage technologies required; how to keep the electric power grid stable; and how to address non-energy sources of emissions. It discusses the history of the 100% Movement, which evolved from a collaboration among scientists, cultural leaders, business people, and community leaders. Finally, it discusses current progress in transitioning to 100% renewables, and the new policies needed to complete the transition. Online course supplements include lecture slides, answers to the end-of-chapter student exercises, and a list of extra resources.