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Learn by doing with this user-friendly introduction to time series data analysis in R. This book explores the intricacies of managing and cleaning time series data of different sizes, scales and granularity, data preparation for analysis and visualization, and different approaches to classical and machine learning time series modeling and forecasting. A range of pedagogical features support students, including end-of-chapter exercises, problems, quizzes and case studies. The case studies are designed to stretch the learner, introducing larger data sets, enhanced data management skills, and R packages and functions appropriate for real-world data analysis. On top of providing commented R programs and data sets, the book's companion website offers extra case studies, lecture slides, videos and exercise solutions. Accessible to those with a basic background in statistics and probability, this is an ideal hands-on text for undergraduate and graduate students, as well as researchers in data-rich disciplines
Learn by doing with this user-friendly introduction to time series data analysis in R. This book explores the intricacies of managing and cleaning time series data of different sizes, scales and granularity, data preparation for analysis and visualization, and different approaches to classical and machine learning time series modeling and forecasting. A range of pedagogical features support students, including end-of-chapter exercises, problems, quizzes and case studies. The case studies are designed to stretch the learner, introducing larger data sets, enhanced data management skills, and R packages and functions appropriate for real-world data analysis. On top of providing commented R programs and data sets, the book's companion website offers extra case studies, lecture slides, videos and exercise solutions. Accessible to those with a basic background in statistics and probability, this is an ideal hands-on text for undergraduate and graduate students, as well as researchers in data-rich disciplines
Kreuzer offers guidance to scholars looking to comparative historical analysis (CHA) for the tools to analyze macro-historical questions. Like history, CHA uses the past to formulate research questions, describe social transformations, and generate inductive insights. Like social science, CHA compares those patterns to explicate generalizable and testable theories. It operates in two different worlds—one constantly changing and full of cultural particularities and another static and full of orderly uniformities. CHA draws attention to the ontological constructions of these worlds; how scholars background historical and geographic particularities to create a social reality orderly enough for theorizing, while others foreground those particularities to re-complexify it to generate new inductive insights. CHA engages in ontological triage, dialogue between exploration and confirmation, and conversation in how to translate test results into genuine answers. This book is supplemented by online materials including introductory videos, diagnostic quizzes, advanced exercises, and annotated bibliographies.
Kreuzer offers guidance to scholars looking to comparative historical analysis (CHA) for the tools to analyze macro-historical questions. Like history, CHA uses the past to formulate research questions, describe social transformations, and generate inductive insights. Like social science, CHA compares those patterns to explicate generalizable and testable theories. It operates in two different worlds—one constantly changing and full of cultural particularities and another static and full of orderly uniformities. CHA draws attention to the ontological constructions of these worlds; how scholars background historical and geographic particularities to create a social reality orderly enough for theorizing, while others foreground those particularities to re-complexify it to generate new inductive insights. CHA engages in ontological triage, dialogue between exploration and confirmation, and conversation in how to translate test results into genuine answers. This book is supplemented by online materials including introductory videos, diagnostic quizzes, advanced exercises, and annotated bibliographies.
This extraordinary three-volume work, written in an engaging and rigorous style by a world authority in the field, provides an accessible, comprehensive introduction to the full spectrum of mathematical and statistical techniques underpinning contemporary methods in data-driven learning and inference. This second volume, Inference, builds on the foundational topics established in volume I to introduce students to techniques for inferring unknown variables and quantities, including Bayesian inference, Monte Carlo Markov Chain methods, maximum-likelihood estimation, hidden Markov models, Bayesian networks, and reinforcement learning. A consistent structure and pedagogy is employed throughout this volume to reinforce student understanding, with over 350 end-of-chapter problems (including solutions for instructors), 180 solved examples, almost 200 figures, datasets and downloadable Matlab code. Supported by sister volumes Foundations and Learning, and unique in its scale and depth, this textbook sequence is ideal for early-career researchers and graduate students across many courses in signal processing, machine learning, statistical analysis, data science and inference.
This extraordinary three-volume work, written in an engaging and rigorous style by a world authority in the field, provides an accessible, comprehensive introduction to the full spectrum of mathematical and statistical techniques underpinning contemporary methods in data-driven learning and inference. This second volume, Inference, builds on the foundational topics established in volume I to introduce students to techniques for inferring unknown variables and quantities, including Bayesian inference, Monte Carlo Markov Chain methods, maximum-likelihood estimation, hidden Markov models, Bayesian networks, and reinforcement learning. A consistent structure and pedagogy is employed throughout this volume to reinforce student understanding, with over 350 end-of-chapter problems (including solutions for instructors), 180 solved examples, almost 200 figures, datasets and downloadable Matlab code. Supported by sister volumes Foundations and Learning, and unique in its scale and depth, this textbook sequence is ideal for early-career researchers and graduate students across many courses in signal processing, machine learning, statistical analysis, data science and inference.
This extraordinary three-volume work, written in an engaging and rigorous style by a world authority in the field, provides an accessible, comprehensive introduction to the full spectrum of mathematical and statistical techniques underpinning contemporary methods in data-driven learning and inference. This final volume, Learning, builds on the foundational topics established in volume I to provide a thorough introduction to learning methods, addressing techniques such as least-squares methods, regularization, online learning, kernel methods, feedforward and recurrent neural networks, meta-learning, and adversarial attacks. A consistent structure and pedagogy is employed throughout this volume to reinforce student understanding, with over 350 end-of-chapter problems (including complete solutions for instructors), 280 figures, 100 solved examples, datasets and downloadable Matlab code. Supported by sister volumes Foundations and Inference, and unique in its scale and depth, this textbook sequence is ideal for early-career researchers and graduate students across many courses in signal processing, machine learning, data and inference.
This extraordinary three-volume work, written in an engaging and rigorous style by a world authority in the field, provides an accessible, comprehensive introduction to the full spectrum of mathematical and statistical techniques underpinning contemporary methods in data-driven learning and inference. This final volume, Learning, builds on the foundational topics established in volume I to provide a thorough introduction to learning methods, addressing techniques such as least-squares methods, regularization, online learning, kernel methods, feedforward and recurrent neural networks, meta-learning, and adversarial attacks. A consistent structure and pedagogy is employed throughout this volume to reinforce student understanding, with over 350 end-of-chapter problems (including complete solutions for instructors), 280 figures, 100 solved examples, datasets and downloadable Matlab code. Supported by sister volumes Foundations and Inference, and unique in its scale and depth, this textbook sequence is ideal for early-career researchers and graduate students across many courses in signal processing, machine learning, data and inference.
Partnerships with Families and Communities: Building Dynamic Relationships is a comprehensive and accessible resource that provides pre-service teachers with the tools required to build effective, sustainable and proactive partnerships in both early childhood and primary educational settings. This text introduces models of home-school-community partnerships in educational contexts and presents a comprehensive partnerships approach for best practice in applying and leading effective relationships with key stakeholders. It explores essential underpinning policies, legislation and research theories that position strong, positive and proactive partnerships as a systemic solution to children's learning development. Key topics covered include diversity in partnership work, reflective practice and tools for evaluating working partnerships. Each chapter includes focused pedagogy, key terms and definitions, scenarios and review questions, which enable readers to deeply engage with new concepts. 'Proactive Partners' boxes explore real-world scenarios and encourage readers to link theory with practice.
Partnerships with Families and Communities: Building Dynamic Relationships is a comprehensive and accessible resource that provides pre-service teachers with the tools required to build effective, sustainable and proactive partnerships in both early childhood and primary educational settings. This text introduces models of home-school-community partnerships in educational contexts and presents a comprehensive partnerships approach for best practice in applying and leading effective relationships with key stakeholders. It explores essential underpinning policies, legislation and research theories that position strong, positive and proactive partnerships as a systemic solution to children's learning development. Key topics covered include diversity in partnership work, reflective practice and tools for evaluating working partnerships. Each chapter includes focused pedagogy, key terms and definitions, scenarios and review questions, which enable readers to deeply engage with new concepts. 'Proactive Partners' boxes explore real-world scenarios and encourage readers to link theory with practice.
Uniquely interdisciplinary and accessible, The Cambridge Introduction to Intercultural Communication is the ideal text for undergraduate introductory courses in Intercultural Communication, International Communication and Cross-cultural Communication. Suitable for students and practitioners alike, it encompasses the breadth of intercultural communication as an academic field and a day-to-day experience in work and private life, including international business, public services, schools and universities. This textbook touches on a range of themes in intercultural communication, such as evolutionary and positive psychology, key concepts from critical intercultural communication, postcolonial studies and transculturality, intercultural encounters in contemporary literature and film, and the application of contemporary intercultural communication research for the development of health services and military services. The concise, up-to-date overviews of key topics are accompanied by a wide variety of tasks and eighteen case studies for in-depth discussions, homework, and assessments.
Uniquely interdisciplinary and accessible, The Cambridge Introduction to Intercultural Communication is the ideal text for undergraduate introductory courses in Intercultural Communication, International Communication and Cross-cultural Communication. Suitable for students and practitioners alike, it encompasses the breadth of intercultural communication as an academic field and a day-to-day experience in work and private life, including international business, public services, schools and universities. This textbook touches on a range of themes in intercultural communication, such as evolutionary and positive psychology, key concepts from critical intercultural communication, postcolonial studies and transculturality, intercultural encounters in contemporary literature and film, and the application of contemporary intercultural communication research for the development of health services and military services. The concise, up-to-date overviews of key topics are accompanied by a wide variety of tasks and eighteen case studies for in-depth discussions, homework, and assessments.
Statutory interpretation is both a distinct body of law governing the determination of the meaning of legislation and a task that requires a set of skills. It is thus an essential area of legal practice, education and research. Modern Statutory Interpretation: Framework, Principles and Practice is an original, clear, coherent and research-based account of contemporary Australian statutory interpretation. Written by experts in the field, the book provides a comprehensive coverage of statutory interpretation law as well as examining related areas such as legislative drafting, the parliamentary process, the modern history of interpretation, sources of doubt, and interpretation techniques. The content is structured in eight parts. Parts I-III introduce foundational matters, Parts IV-VII deal with the general principles of interpretation, and Part VIII examines special interpretative issues. Modern Statutory Interpretation is an essential resource for legal professionals, legal researchers, and students undertaking advanced courses in statutory interpretation in Australia.
Statutory interpretation is both a distinct body of law governing the determination of the meaning of legislation and a task that requires a set of skills. It is thus an essential area of legal practice, education and research. Modern Statutory Interpretation: Framework, Principles and Practice is an original, clear, coherent and research-based account of contemporary Australian statutory interpretation. Written by experts in the field, the book provides a comprehensive coverage of statutory interpretation law as well as examining related areas such as legislative drafting, the parliamentary process, the modern history of interpretation, sources of doubt, and interpretation techniques. The content is structured in eight parts. Parts I-III introduce foundational matters, Parts IV-VII deal with the general principles of interpretation, and Part VIII examines special interpretative issues. Modern Statutory Interpretation is an essential resource for legal professionals, legal researchers, and students undertaking advanced courses in statutory interpretation in Australia.
Language enables us to represent our world, rendering salient the identities, groups, and categories that constitute social life. Michael Silverstein (1945–2020) was at the forefront of the study of language in culture, and this book unifies a lifetime of his conceptual innovations in a set of seminal lectures. Focusing not just on what people say but how we say it, Silverstein shows how discourse unfolds in interaction. At the same time, he reveals that discourse far exceeds discrete events, stabilizing and transforming societies, politics, and markets through chains of activity. Presenting his magisterial theoretical vision in engaging prose, Silverstein unpacks technical terms through myriad examples – from brilliant readings of Marcel Marceau's pantomime, the class-laced banter of graduate students, and the poetics/politics of wine-tasting, to Fijian gossip and US courtroom talk. He draws on forebears in linguistics and anthropology while offering his distinctive semiotic approach, redefining how we think about language and culture.
Language enables us to represent our world, rendering salient the identities, groups, and categories that constitute social life. Michael Silverstein (1945–2020) was at the forefront of the study of language in culture, and this book unifies a lifetime of his conceptual innovations in a set of seminal lectures. Focusing not just on what people say but how we say it, Silverstein shows how discourse unfolds in interaction. At the same time, he reveals that discourse far exceeds discrete events, stabilizing and transforming societies, politics, and markets through chains of activity. Presenting his magisterial theoretical vision in engaging prose, Silverstein unpacks technical terms through myriad examples – from brilliant readings of Marcel Marceau's pantomime, the class-laced banter of graduate students, and the poetics/politics of wine-tasting, to Fijian gossip and US courtroom talk. He draws on forebears in linguistics and anthropology while offering his distinctive semiotic approach, redefining how we think about language and culture.
In modern computer science, there exists no truly sequential computing system; and most advanced programming is parallel programming. This is particularly evident in modern application domains like scientific computation, data science, machine intelligence, etc. This lucid introductory textbook will be invaluable to students of computer science and technology, acting as a self-contained primer to parallel programming. It takes the reader from introduction to expertise, addressing a broad gamut of issues. It covers different parallel programming styles, describes parallel architecture, includes parallel programming frameworks and techniques, presents algorithmic and analysis techniques and discusses parallel design and performance issues. With its broad coverage, the book can be useful in a wide range of courses; and can also prove useful as a ready reckoner for professionals in the field.
In modern computer science, there exists no truly sequential computing system; and most advanced programming is parallel programming. This is particularly evident in modern application domains like scientific computation, data science, machine intelligence, etc. This lucid introductory textbook will be invaluable to students of computer science and technology, acting as a self-contained primer to parallel programming. It takes the reader from introduction to expertise, addressing a broad gamut of issues. It covers different parallel programming styles, describes parallel architecture, includes parallel programming frameworks and techniques, presents algorithmic and analysis techniques and discusses parallel design and performance issues. With its broad coverage, the book can be useful in a wide range of courses; and can also prove useful as a ready reckoner for professionals in the field.
The Science of Deep Learning emerged from courses taught by the author that have provided thousands of students with training and experience for their academic studies, and prepared them for careers in deep learning, machine learning, and artificial intelligence in top companies in industry and academia. The book begins by covering the foundations of deep learning, followed by key deep learning architectures. Subsequent parts on generative models and reinforcement learning may be used as part of a deep learning course or as part of a course on each topic. The book includes state-of-the-art topics such as Transformers, graph neural networks, variational autoencoders, and deep reinforcement learning, with a broad range of applications. The appendices provide equations for computing gradients in backpropagation and optimization, and best practices in scientific writing and reviewing. The text presents an up-to-date guide to the field built upon clear visualizations using a unified notation and equations, lowering the barrier to entry for the reader. The accompanying website provides complementary code and hundreds of exercises with solutions.
The Science of Deep Learning emerged from courses taught by the author that have provided thousands of students with training and experience for their academic studies, and prepared them for careers in deep learning, machine learning, and artificial intelligence in top companies in industry and academia. The book begins by covering the foundations of deep learning, followed by key deep learning architectures. Subsequent parts on generative models and reinforcement learning may be used as part of a deep learning course or as part of a course on each topic. The book includes state-of-the-art topics such as Transformers, graph neural networks, variational autoencoders, and deep reinforcement learning, with a broad range of applications. The appendices provide equations for computing gradients in backpropagation and optimization, and best practices in scientific writing and reviewing. The text presents an up-to-date guide to the field built upon clear visualizations using a unified notation and equations, lowering the barrier to entry for the reader. The accompanying website provides complementary code and hundreds of exercises with solutions.
Written for a two-semester Master's or graduate course, this comprehensive treatise intertwines theory and experiment in an original approach that covers all aspects of modern particle physics. The author uses rigorous step-by-step derivations and provides more than 100 end-of-chapter problems for additional practice to ensure that students will not only understand the material but also be able to apply their knowledge. Featuring up-to-date experimental material, including the discovery of the Higgs boson at CERN and of neutrino oscillations, this monumental volume also serves as a one-stop reference for particle physics researchers of all levels and specialties. Richly illustrated with more than 450 figures, the text guides students through all the intricacies of quantum mechanics and quantum field theory in an intuitive manner that few books achieve.
Written for a two-semester Master's or graduate course, this comprehensive treatise intertwines theory and experiment in an original approach that covers all aspects of modern particle physics. The author uses rigorous step-by-step derivations and provides more than 100 end-of-chapter problems for additional practice to ensure that students will not only understand the material but also be able to apply their knowledge. Featuring up-to-date experimental material, including the discovery of the Higgs boson at CERN and of neutrino oscillations, this monumental volume also serves as a one-stop reference for particle physics researchers of all levels and specialties. Richly illustrated with more than 450 figures, the text guides students through all the intricacies of quantum mechanics and quantum field theory in an intuitive manner that few books achieve.
All teachers need to know how children and adolescents learn and develop. Traditionally, this knowledge had been informed by a mix of speculative and scientific theory. However, in the past three decades there has been substantial growth in new scientific knowledge about how we learn. The Science of Learning and Development in Education provides an exciting and comprehensive introduction to this field. This innovative text introduces readers to brain science and the science of complex systems as it applies to human development. Section 1 examines the science of learning and development in the 21st century; Section 2 explores the emotional, cultural, moral and empathetic brain; and Section 3 focuses on learning, wellbeing and the ecology of learning environments. Written in an engaging style by leading experts and generously illustrated with colour photographs and diagrams, The Science of Learning and Development in Education is an essential resource for pre-service teachers.
All teachers need to know how children and adolescents learn and develop. Traditionally, this knowledge had been informed by a mix of speculative and scientific theory. However, in the past three decades there has been substantial growth in new scientific knowledge about how we learn. The Science of Learning and Development in Education provides an exciting and comprehensive introduction to this field. This innovative text introduces readers to brain science and the science of complex systems as it applies to human development. Section 1 examines the science of learning and development in the 21st century; Section 2 explores the emotional, cultural, moral and empathetic brain; and Section 3 focuses on learning, wellbeing and the ecology of learning environments. Written in an engaging style by leading experts and generously illustrated with colour photographs and diagrams, The Science of Learning and Development in Education is an essential resource for pre-service teachers.
This accessible and entertaining textbook introduces students to both traditional and more contemporary approaches to sociolinguistics in a real-world context, addressing current social problems that students are likely to care about, such as racism, inequality, political conflict, belonging, and issues around gender and sexuality. Each chapter includes exercises, case studies and ideas for small-scale research projects, encouraging students to think critically about the different theories and approaches to language and society, and to interrogate their own beliefs about language and communication. The book gives students a grounding in the traditional concepts and techniques upon which sociolinguistics is built, while also introducing new developments from the last decade, such as translanguaging, multimodality, superdiversity, linguistic landscapes and language and digital media. Students will also have online access to more detailed examples, links to video and audio files, and more challenging exercises to strengthen their skills and confidence as sociolinguists.
This accessible and entertaining textbook introduces students to both traditional and more contemporary approaches to sociolinguistics in a real-world context, addressing current social problems that students are likely to care about, such as racism, inequality, political conflict, belonging, and issues around gender and sexuality. Each chapter includes exercises, case studies and ideas for small-scale research projects, encouraging students to think critically about the different theories and approaches to language and society, and to interrogate their own beliefs about language and communication. The book gives students a grounding in the traditional concepts and techniques upon which sociolinguistics is built, while also introducing new developments from the last decade, such as translanguaging, multimodality, superdiversity, linguistic landscapes and language and digital media. Students will also have online access to more detailed examples, links to video and audio files, and more challenging exercises to strengthen their skills and confidence as sociolinguists.
This introduction to the mathematics of incompressible fluid mechanics and its applications keeps prerequisites to a minimum – only a background knowledge in multivariable calculus and differential equations is required. Part One covers inviscid fluid mechanics, guiding readers from the very basics of how to represent fluid flows through to the incompressible Euler equations and many real-world applications. Part Two covers viscous fluid mechanics, from the stress/rate of strain relation to deriving the incompressible Navier-Stokes equations, through to Beltrami flows, the Reynolds number, Stokes flows, lubrication theory and boundary layers. Also included is a self-contained guide on the global existence of solutions to the incompressible Navier-Stokes equations. Students can test their understanding on 100 progressively structured exercises and look beyond the scope of the text with carefully selected mini-projects. Based on the authors' extensive teaching experience, this is a valuable resource for undergraduate and graduate students across mathematics, science, and engineering.
This introduction to the mathematics of incompressible fluid mechanics and its applications keeps prerequisites to a minimum – only a background knowledge in multivariable calculus and differential equations is required. Part One covers inviscid fluid mechanics, guiding readers from the very basics of how to represent fluid flows through to the incompressible Euler equations and many real-world applications. Part Two covers viscous fluid mechanics, from the stress/rate of strain relation to deriving the incompressible Navier-Stokes equations, through to Beltrami flows, the Reynolds number, Stokes flows, lubrication theory and boundary layers. Also included is a self-contained guide on the global existence of solutions to the incompressible Navier-Stokes equations. Students can test their understanding on 100 progressively structured exercises and look beyond the scope of the text with carefully selected mini-projects. Based on the authors' extensive teaching experience, this is a valuable resource for undergraduate and graduate students across mathematics, science, and engineering.
Designed for a two-semester advanced undergraduate or graduate level course, this distinctive and modern textbook provides students with the physical intuition and mathematical skills to tackle even complex problems in quantum mechanics with ease and fluency. Beginning with a detailed introduction to quantum states and Dirac notation, the book then develops the overarching theoretical framework of quantum mechanics, before explaining physical quantum mechanical properties such as angular momentum and spin. Symmetries and groups in quantum mechanics, important components of current research, are covered at length. The second part of the text focuses on applications, and includes a detailed chapter on quantum entanglement, one of the most exciting modern applications of quantum mechanics, and of key importance in quantum information and computation. Numerous exercises are interspersed throughout the text, expanding upon key concepts and further developing students' understanding. A fully worked solutions manual and lecture slides are available for instructors.
Designed for a two-semester advanced undergraduate or graduate level course, this distinctive and modern textbook provides students with the physical intuition and mathematical skills to tackle even complex problems in quantum mechanics with ease and fluency. Beginning with a detailed introduction to quantum states and Dirac notation, the book then develops the overarching theoretical framework of quantum mechanics, before explaining physical quantum mechanical properties such as angular momentum and spin. Symmetries and groups in quantum mechanics, important components of current research, are covered at length. The second part of the text focuses on applications, and includes a detailed chapter on quantum entanglement, one of the most exciting modern applications of quantum mechanics, and of key importance in quantum information and computation. Numerous exercises are interspersed throughout the text, expanding upon key concepts and further developing students' understanding. A fully worked solutions manual and lecture slides are available for instructors.
Condensing 40 years of teaching experience, this unique textbook will provide students with an unrivalled understanding of the fundamentals of fluid mechanics, and enable them to place that understanding firmly within a biological context. Each chapter introduces, explains, and expands a core concept in biofluid mechanics, establishing a firm theoretical framework for students to build upon in further study. Practical biofluid applications, clinical correlations, and worked examples throughout the book provide real-world scenarios to help students quickly master key theoretical topics. Examples are drawn from biology, medicine, and biotechnology with applications to normal function, disease, and devices, accompanied by over 500 figures to reinforce student understanding. Featuring over 120 multicomponent end-of-chapter problems, flexible teaching pathways to enable tailor-made course structures, and extensive Matlab and Maple code examples, this is the definitive textbook for advanced undergraduate and graduate students studying a biologically-grounded course in fluid mechanics.
Condensing 40 years of teaching experience, this unique textbook will provide students with an unrivalled understanding of the fundamentals of fluid mechanics, and enable them to place that understanding firmly within a biological context. Each chapter introduces, explains, and expands a core concept in biofluid mechanics, establishing a firm theoretical framework for students to build upon in further study. Practical biofluid applications, clinical correlations, and worked examples throughout the book provide real-world scenarios to help students quickly master key theoretical topics. Examples are drawn from biology, medicine, and biotechnology with applications to normal function, disease, and devices, accompanied by over 500 figures to reinforce student understanding. Featuring over 120 multicomponent end-of-chapter problems, flexible teaching pathways to enable tailor-made course structures, and extensive Matlab and Maple code examples, this is the definitive textbook for advanced undergraduate and graduate students studying a biologically-grounded course in fluid mechanics.
Positive psychology tackles the big questions: What does it mean to live a 'good life'? What helps people to flourish and access their optimal potential? And how can we increase our capacities for joy, meaning, and hope? This engaging textbook emphasizes the science of positive psychology - students don't simply learn about positive psychology in the abstract, but instead are exposed to the fascinating research that supports its conclusions.Bridging theory and practice, this textbook connects up-to-date research with real-world examples and guides students to apply evidence-based practices in their own lives. Its comprehensive coverage includes major new topics, such as spirituality, therapeutic interventions, mindfulness, and positive relationships. Featured pedagogy includes 'Are You Sure about That?' boxes presenting methodological and statistical principles in context, and 'Practice Positive Psychology' activities to extend student learning, while online resources include lecture slides, a test bank, and an instructor manual.
Positive psychology tackles the big questions: What does it mean to live a 'good life'? What helps people to flourish and access their optimal potential? And how can we increase our capacities for joy, meaning, and hope? This engaging textbook emphasizes the science of positive psychology - students don't simply learn about positive psychology in the abstract, but instead are exposed to the fascinating research that supports its conclusions.Bridging theory and practice, this textbook connects up-to-date research with real-world examples and guides students to apply evidence-based practices in their own lives. Its comprehensive coverage includes major new topics, such as spirituality, therapeutic interventions, mindfulness, and positive relationships. Featured pedagogy includes 'Are You Sure about That?' boxes presenting methodological and statistical principles in context, and 'Practice Positive Psychology' activities to extend student learning, while online resources include lecture slides, a test bank, and an instructor manual.
Quantum mechanics is a hugely important topic in science and engineering, but many students struggle to understand the abstract mathematical techniques used to solve the Schrödinger equation and to analyze the resulting wave functions. Retaining the popular approach used in Fleisch's other Student's Guides, this friendly resource uses plain language to provide detailed explanations of the fundamental concepts and mathematical techniques underlying the Schrödinger equation in quantum mechanics. It addresses in a clear and intuitive way the problems students find most troublesome. Each chapter includes several homework problems with fully worked solutions. A companion website hosts additional resources, including a helpful glossary, Matlab code for creating key simulations, revision quizzes and a series of videos in which the author explains the most important concepts from each section of the book.
Quantum mechanics is a hugely important topic in science and engineering, but many students struggle to understand the abstract mathematical techniques used to solve the Schrödinger equation and to analyze the resulting wave functions. Retaining the popular approach used in Fleisch's other Student's Guides, this friendly resource uses plain language to provide detailed explanations of the fundamental concepts and mathematical techniques underlying the Schrödinger equation in quantum mechanics. It addresses in a clear and intuitive way the problems students find most troublesome. Each chapter includes several homework problems with fully worked solutions. A companion website hosts additional resources, including a helpful glossary, Matlab code for creating key simulations, revision quizzes and a series of videos in which the author explains the most important concepts from each section of the book.
This comprehensive textbook highlights the fundamental concepts and design principles related to water and wastewater engineering. Problems and issues arising from the lack of sustainable conventional treatment practices and potential methods for resolving problems are discussed in detail. The book starts with an introduction to water resources and the need for water and wastewater treatment, followed by evaluation of water demand in terms of quantity and quality. Mass transfer and transformation processes that are necessary for understanding the complexity of water pollution issues and treatment processes are discussed in detail. Pedagogical features include learning objectives, chapter-wise study outlines, detailed solutions to important problems and self-evaluation exercises with answers. Case studies for specific water treatment requirements are provided to enable the students to choose and apply only relevant treatment processes in their design.
This comprehensive textbook highlights the fundamental concepts and design principles related to water and wastewater engineering. Problems and issues arising from the lack of sustainable conventional treatment practices and potential methods for resolving problems are discussed in detail. The book starts with an introduction to water resources and the need for water and wastewater treatment, followed by evaluation of water demand in terms of quantity and quality. Mass transfer and transformation processes that are necessary for understanding the complexity of water pollution issues and treatment processes are discussed in detail. Pedagogical features include learning objectives, chapter-wise study outlines, detailed solutions to important problems and self-evaluation exercises with answers. Case studies for specific water treatment requirements are provided to enable the students to choose and apply only relevant treatment processes in their design.
The Cambridge Greek Lexicon is based upon principles differing from those of existing Greek lexica. Entries are organised according to meaning, with a view to showing the developing senses of words and the relationships between those senses. Other contextual and explanatory information, all expressed in contemporary English, is included, such as the typical circumstances in which a word may be used, thus giving fresh insights into aspects of Greek language and culture. The editors have systematically re-examined the source material (including that which has been discovered since the end of the nineteenth century) and have made use of the most recent textual and philological scholarship. The Lexicon, which has been twenty years in the making, is written by an editorial team based in the Faculty of Classics in Cambridge, consisting of Professor James Diggle (Editor-in-Chief), Dr Bruce Fraser, Dr Patrick James, Dr Oliver Simkin, Dr Anne Thompson, and Mr Simon Westripp.
The Cambridge Greek Lexicon is based upon principles differing from those of existing Greek lexica. Entries are organised according to meaning, with a view to showing the developing senses of words and the relationships between those senses. Other contextual and explanatory information, all expressed in contemporary English, is included, such as the typical circumstances in which a word may be used, thus giving fresh insights into aspects of Greek language and culture. The editors have systematically re-examined the source material (including that which has been discovered since the end of the nineteenth century) and have made use of the most recent textual and philological scholarship. The Lexicon, which has been twenty years in the making, is written by an editorial team based in the Faculty of Classics in Cambridge, consisting of Professor James Diggle (Editor-in-Chief), Dr Bruce Fraser, Dr Patrick James, Dr Oliver Simkin, Dr Anne Thompson, and Mr Simon Westripp.