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Focusing on practical application, this textbook provides clear and concise explanations of statistical tests and techniques that students can apply in real-world situations. It has a dual emphasis: firstly, on doing statistics, and secondly, on understanding statistics, to do away with the mindset that statistics is difficult. Procedural explanations are provided so students know how to apply particular statistical tests and techniques in practical research situations. Conceptual understanding is encouraged to ensure students know not only when and how to apply appropriate techniques, but also why they are using them. Ancillary resources are available including sample answers to exercises, PowerPoint teaching slides, instructor manual, and a test bank. Illustrative figures, real-world data, practice exercises, and software instruction make this an essential resource for mastering statistics for undergraduate and graduate students in the social and behavioral sciences.
Focusing on practical application, this textbook provides clear and concise explanations of statistical tests and techniques that students can apply in real-world situations. It has a dual emphasis: firstly, on doing statistics, and secondly, on understanding statistics, to do away with the mindset that statistics is difficult. Procedural explanations are provided so students know how to apply particular statistical tests and techniques in practical research situations. Conceptual understanding is encouraged to ensure students know not only when and how to apply appropriate techniques, but also why they are using them. Ancillary resources are available including sample answers to exercises, PowerPoint teaching slides, instructor manual, and a test bank. Illustrative figures, real-world data, practice exercises, and software instruction make this an essential resource for mastering statistics for undergraduate and graduate students in the social and behavioral sciences.
Understanding the globalized world economy is more important than ever before. This book provides a clear, concise, and up-to-date look at the economic foundations of international trade. The authors explain the principal concepts in an engaging and accessible manner open to students from any discipline, incorporating contemporary trade data through full-colour diagrams and graphs. Throughout, economic models are discussed in the context of recent and current international trade issues, to ensure students gain a concrete understanding and see how the field impacts the real world. Written for upper undergraduate courses, the book includes feature boxes that marry theory and economics in practice to show models applied, a featured real-world application for every chapter, and over 100 end-of-chapter questions help students fully engage with and consolidate their learning. Online resources for instructors include a solutions manual, lecture slides and the book figures as JPEGs.
Understanding the globalized world economy is more important than ever before. This book provides a clear, concise, and up-to-date look at the economic foundations of international trade. The authors explain the principal concepts in an engaging and accessible manner open to students from any discipline, incorporating contemporary trade data through full-colour diagrams and graphs. Throughout, economic models are discussed in the context of recent and current international trade issues, to ensure students gain a concrete understanding and see how the field impacts the real world. Written for upper undergraduate courses, the book includes feature boxes that marry theory and economics in practice to show models applied, a featured real-world application for every chapter, and over 100 end-of-chapter questions help students fully engage with and consolidate their learning. Online resources for instructors include a solutions manual, lecture slides and the book figures as JPEGs.
The globalized world economy is more important than ever before. This book provides a clear and up-to-date look at the economic foundations of international economics. Through accessible language and attractive presentation with abundant full-colour diagrams and graphs incorporating contemporary trade data, the authors explain the principal concepts in an engaging manner open to students from any discipline. Throughout, economic models are discussed in the context of recent and current international trade issues to ensure students gain a concrete understanding and see how the field impacts the real world. Written for upper undergraduate courses, the book includes feature boxes that marry theory and economics in practice to show models applied, a featured real-world application for every chapter, and over 240 end of chapter questions help students fully engage with and consolidate their learning. Online resources for instructors include a solutions manual, lecture slides and the book figures as jpgs.
The globalized world economy is more important than ever before. This book provides a clear and up-to-date look at the economic foundations of international economics. Through accessible language and attractive presentation with abundant full-colour diagrams and graphs incorporating contemporary trade data, the authors explain the principal concepts in an engaging manner open to students from any discipline. Throughout, economic models are discussed in the context of recent and current international trade issues to ensure students gain a concrete understanding and see how the field impacts the real world. Written for upper undergraduate courses, the book includes feature boxes that marry theory and economics in practice to show models applied, a featured real-world application for every chapter, and over 240 end of chapter questions help students fully engage with and consolidate their learning. Online resources for instructors include a solutions manual, lecture slides and the book figures as jpgs.
This succinct introduction to the fundamental physical principles of turbulence provides a modern perspective through statistical theory, experiments, and high-fidelity numerical simulations. It describes classical concepts of turbulence and offers new computational perspectives on their interpretation based on numerical simulation databases, introducing students to phenomena at a wide range of scales. Unique, practical, multi-part physics-based exercises use realistic data of canonical turbulent flows developed by the Stanford Center for Turbulence Research to equip students with hands-on experience with practical and predictive analysis tools. Over 20 case studies spanning real-world settings such as wind farms and airplanes, color illustrations, and color-coded pedagogy support student learning. Accompanied by downloadable datasets, and solutions for instructors, this is the ideal introduction for students in aerospace, civil, environmental, and mechanical engineering and the physical sciences studying a graduate-level one-semester course on turbulence, advanced fluid mechanics, and turbulence simulation.
This succinct introduction to the fundamental physical principles of turbulence provides a modern perspective through statistical theory, experiments, and high-fidelity numerical simulations. It describes classical concepts of turbulence and offers new computational perspectives on their interpretation based on numerical simulation databases, introducing students to phenomena at a wide range of scales. Unique, practical, multi-part physics-based exercises use realistic data of canonical turbulent flows developed by the Stanford Center for Turbulence Research to equip students with hands-on experience with practical and predictive analysis tools. Over 20 case studies spanning real-world settings such as wind farms and airplanes, color illustrations, and color-coded pedagogy support student learning. Accompanied by downloadable datasets, and solutions for instructors, this is the ideal introduction for students in aerospace, civil, environmental, and mechanical engineering and the physical sciences studying a graduate-level one-semester course on turbulence, advanced fluid mechanics, and turbulence simulation.
This enthusiastic introduction to the fundamentals of information theory builds from classical Shannon theory through to modern applications in statistical learning, equipping students with a uniquely well-rounded and rigorous foundation for further study. Introduces core topics such as data compression, channel coding, and rate-distortion theory using a unique finite block-length approach. With over 210 end-of-part exercises and numerous examples, students are introduced to contemporary applications in statistics, machine learning and modern communication theory. This textbook presents information-theoretic methods with applications in statistical learning and computer science, such as f-divergences, PAC Bayes and variational principle, Kolmogorov's metric entropy, strong data processing inequalities, and entropic upper bounds for statistical estimation. Accompanied by a solutions manual for instructors, and additional standalone chapters on more specialized topics in information theory, this is the ideal introductory textbook for senior undergraduate and graduate students in electrical engineering, statistics, and computer science.
This enthusiastic introduction to the fundamentals of information theory builds from classical Shannon theory through to modern applications in statistical learning, equipping students with a uniquely well-rounded and rigorous foundation for further study. Introduces core topics such as data compression, channel coding, and rate-distortion theory using a unique finite block-length approach. With over 210 end-of-part exercises and numerous examples, students are introduced to contemporary applications in statistics, machine learning and modern communication theory. This textbook presents information-theoretic methods with applications in statistical learning and computer science, such as f-divergences, PAC Bayes and variational principle, Kolmogorov's metric entropy, strong data processing inequalities, and entropic upper bounds for statistical estimation. Accompanied by a solutions manual for instructors, and additional standalone chapters on more specialized topics in information theory, this is the ideal introductory textbook for senior undergraduate and graduate students in electrical engineering, statistics, and computer science.
Master the fundamentals of undergraduate electromagnetics with this concise and accessible textbook, linking theoretical principles to real-world engineering applications. Lightning, nuclear fusion, superconductors: over 80 real-world TechNote case studies throughout the book show how key electromagnetic principles work in a wide variety of natural effects and man-made devices. Learn in confidence: over 170 annotated step-by-step examples, with illustrated field patterns, aid student visualization of key physical principles, and help them build a solid foundation for future study. Dive deeper: sidenotes provide detailed proofs and context without distracting from core learning, and carefully designed appendices provide additional mathematical assistance when needed. Make progress: over 375 end-of-chapter homework problems to assess and extend student understanding. Flexible instructor support: start your students off with statics, or dive straight into dynamics, with this versatile full-color textbook for a one-or two-semester course, supported by lecture slides, instructor solutions, Matlab animations, and PowerPoint and JPEG figures.
Master the fundamentals of undergraduate electromagnetics with this concise and accessible textbook, linking theoretical principles to real-world engineering applications. Lightning, nuclear fusion, superconductors: over 80 real-world TechNote case studies throughout the book show how key electromagnetic principles work in a wide variety of natural effects and man-made devices. Learn in confidence: over 170 annotated step-by-step examples, with illustrated field patterns, aid student visualization of key physical principles, and help them build a solid foundation for future study. Dive deeper: sidenotes provide detailed proofs and context without distracting from core learning, and carefully designed appendices provide additional mathematical assistance when needed. Make progress: over 375 end-of-chapter homework problems to assess and extend student understanding. Flexible instructor support: start your students off with statics, or dive straight into dynamics, with this versatile full-color textbook for a one-or two-semester course, supported by lecture slides, instructor solutions, Matlab animations, and PowerPoint and JPEG figures.
Get up-to-speed with the fundamentals of how electricity markets are structured and operated with this comprehensive textbook, presenting coverage of key topics in electricity market design, including power system and power market operations, transmission, unit commitment, demand response, and risk management. It includes over 140 practical examples, inspired by real-industry applications, connecting key theoretical concepts to practical scenarios in electricity market design, and features over 100 coding-based examples and exercises, with selected solutions for readers. It further demonstrates how mathematical programming models are implemented in an industry setting. Requiring no experience in power systems or energy economics, this is the ideal introduction to electricity markets for senior undergraduate and graduate students in electrical engineering, economics, and operations research, and a robust introduction to the field for professionals in utilities, energy policy, and energy regulation. Accompanied online by datasets, AMPL code, supporting videos, and full solutions and lecture slides for instructors.
Get up-to-speed with the fundamentals of how electricity markets are structured and operated with this comprehensive textbook, presenting coverage of key topics in electricity market design, including power system and power market operations, transmission, unit commitment, demand response, and risk management. It includes over 140 practical examples, inspired by real-industry applications, connecting key theoretical concepts to practical scenarios in electricity market design, and features over 100 coding-based examples and exercises, with selected solutions for readers. It further demonstrates how mathematical programming models are implemented in an industry setting. Requiring no experience in power systems or energy economics, this is the ideal introduction to electricity markets for senior undergraduate and graduate students in electrical engineering, economics, and operations research, and a robust introduction to the field for professionals in utilities, energy policy, and energy regulation. Accompanied online by datasets, AMPL code, supporting videos, and full solutions and lecture slides for instructors.
Numerical methods are a cornerstone of modern engineering. This lucid textbook strikes a balance between theory and analysis of numerical methods and their practical applications in engineering. Each chapter starts with the formulation and graphical representation of the numerical method. This is followed by the algorithms required to create computer assisted solutions and simulations, which are then applied on real-world examples and case studies to show how exactly they are used. Finally, the strengths and weaknesses of the numerical method under discussion is explained, thus helping the reader choose the best method for a specific problem at hand. Using extensive mathematical problems, illustrative examples and industrially relevant case studies, the book gives the readers physical insights into the ground realities of engineering applications, particularly in areas like heat transfer, fluid mechanics, mass transfer, transport phenomena, and thermodynamics.
Numerical methods are a cornerstone of modern engineering. This lucid textbook strikes a balance between theory and analysis of numerical methods and their practical applications in engineering. Each chapter starts with the formulation and graphical representation of the numerical method. This is followed by the algorithms required to create computer assisted solutions and simulations, which are then applied on real-world examples and case studies to show how exactly they are used. Finally, the strengths and weaknesses of the numerical method under discussion is explained, thus helping the reader choose the best method for a specific problem at hand. Using extensive mathematical problems, illustrative examples and industrially relevant case studies, the book gives the readers physical insights into the ground realities of engineering applications, particularly in areas like heat transfer, fluid mechanics, mass transfer, transport phenomena, and thermodynamics.
Calculus is important for first-year undergraduate students pursuing mathematics, physics, economics, engineering, and other disciplines where mathematics plays a significant role. The book provides a thorough reintroduction to calculus with an emphasis on logical development arising out of geometric intuition. The author has restructured the subject matter in the book by using Tarski's version of the completeness axiom, introducing integration before differentiation and limits, and emphasizing benefits of monotonicity before continuity. The standard transcendental functions are developed early in a rigorous manner and the monotonicity theorem is proved before the mean value theorem. Each concept is supported by diverse exercises which will help the reader to understand applications and take them nearer to real and complex analysis.
Calculus is important for first-year undergraduate students pursuing mathematics, physics, economics, engineering, and other disciplines where mathematics plays a significant role. The book provides a thorough reintroduction to calculus with an emphasis on logical development arising out of geometric intuition. The author has restructured the subject matter in the book by using Tarski's version of the completeness axiom, introducing integration before differentiation and limits, and emphasizing benefits of monotonicity before continuity. The standard transcendental functions are developed early in a rigorous manner and the monotonicity theorem is proved before the mean value theorem. Each concept is supported by diverse exercises which will help the reader to understand applications and take them nearer to real and complex analysis.
Linguistic contact is a reality of everyday life, as speakers of different languages come into contact with one another, often causing language change. This undergraduate textbook provides a means by which these processes, both modern and historical, can be analysed, based on cutting-edge theoretical and methodological practices. Chapters cover language death, the development of pidgins and creoles, linguistic convergence and language contact, and new variety formation. Each chapter is subdivided into key themes, which are supported by diverse and real-world case studies. Student learning is bolstered by illustrative maps, exercises, research tasks, further reading suggestions, and a glossary. Ancillary resources are available including extra content not covered in the book, links to recordings of some of the language varieties covered, and additional discussion, presentation and essay topics. Primarily for undergraduate students of linguistics, it provides a balanced, historically grounded, and up-to-date introduction to linguistic contact and language change.
Linguistic contact is a reality of everyday life, as speakers of different languages come into contact with one another, often causing language change. This undergraduate textbook provides a means by which these processes, both modern and historical, can be analysed, based on cutting-edge theoretical and methodological practices. Chapters cover language death, the development of pidgins and creoles, linguistic convergence and language contact, and new variety formation. Each chapter is subdivided into key themes, which are supported by diverse and real-world case studies. Student learning is bolstered by illustrative maps, exercises, research tasks, further reading suggestions, and a glossary. Ancillary resources are available including extra content not covered in the book, links to recordings of some of the language varieties covered, and additional discussion, presentation and essay topics. Primarily for undergraduate students of linguistics, it provides a balanced, historically grounded, and up-to-date introduction to linguistic contact and language change.
Student Engagement: Promoting Positive Classroom Behaviour encourages pre-service teachers in Australian primary and secondary schools to make choices about how best to design and manage their classrooms and schools to maximise productive behaviour and learning. The text explores numerous dimensions of student engagement from within and outside school settings, including verbal and non-verbal communication; disengaged behaviours and corrective strategies; trauma-informed practice; working with students with emotional and behavioural disorders; and bullying prevention and intervention strategies. Linking to the Australian Professional Standards for Teachers (APSTs), each chapter includes 'Embedding the theory' and 'Story from the field' boxes that discuss the theoretical research behind different approaches to engagement and explore their practical applications. 'Making professional decisions' boxes at the end of each chapter also provide further guidance on how to approach different situations and build a repertoire of resources for practice.
Student Engagement: Promoting Positive Classroom Behaviour encourages pre-service teachers in Australian primary and secondary schools to make choices about how best to design and manage their classrooms and schools to maximise productive behaviour and learning. The text explores numerous dimensions of student engagement from within and outside school settings, including verbal and non-verbal communication; disengaged behaviours and corrective strategies; trauma-informed practice; working with students with emotional and behavioural disorders; and bullying prevention and intervention strategies. Linking to the Australian Professional Standards for Teachers (APSTs), each chapter includes 'Embedding the theory' and 'Story from the field' boxes that discuss the theoretical research behind different approaches to engagement and explore their practical applications. 'Making professional decisions' boxes at the end of each chapter also provide further guidance on how to approach different situations and build a repertoire of resources for practice.
Explore the fundamentals of biomedical engineering technologies with this thought-provoking introduction, framed around modern-day global cancer inequities. Connecting engineering principles to real-world global health scenarios, this textbook introduces major technological advances in cancer care through the lens of global health inequity, discusses how promising new technologies can address this inequity, and demonstrates how novel medical technologies are adopted for real-world clinical use. It includes modular chapters designed to enable a flexible pathway through material, for students from a wide range of backgrounds; boxed discussion of contemporary issues in engineering for global health, encouraging students to explore ethical questions related to science and society; supplementary lab modules for hands-on experience in translating engineering principles into healthcare solutions; and over 200 end-of-chapter problems, targeting multiple learning outcomes to solidify student understanding. This introduction is designed to equip students with all the critical, technical, and ethical knowledge they need to excel.
Explore the fundamentals of biomedical engineering technologies with this thought-provoking introduction, framed around modern-day global cancer inequities. Connecting engineering principles to real-world global health scenarios, this textbook introduces major technological advances in cancer care through the lens of global health inequity, discusses how promising new technologies can address this inequity, and demonstrates how novel medical technologies are adopted for real-world clinical use. It includes modular chapters designed to enable a flexible pathway through material, for students from a wide range of backgrounds; boxed discussion of contemporary issues in engineering for global health, encouraging students to explore ethical questions related to science and society; supplementary lab modules for hands-on experience in translating engineering principles into healthcare solutions; and over 200 end-of-chapter problems, targeting multiple learning outcomes to solidify student understanding. This introduction is designed to equip students with all the critical, technical, and ethical knowledge they need to excel.
This introduction to discourse analysis provides students with an accessible, yet comprehensive, overview of the subject and all the skills and knowledge needed to become capable discourse analysts. Through practical coverage and advice, this book introduces discourse analysis as a set of analytical tools and perspectives that can be applied to an assignment, project, or thesis. Across seven chapters the book is divided according to practical themes and topics allowing students to establish a deeper understanding of discourse analysis. Students will be taught how to identify and categorise established theories and methodologies, including conversation analysis, critical discourse analysis and more. Through figures, examples, chapter summaries, and over thirty learning activities, this volume teaches students the foundational skills to approach the analytical process with more confidence and background knowledge, suitable for undergraduate and graduate students studying discourse analysis.
This introduction to discourse analysis provides students with an accessible, yet comprehensive, overview of the subject and all the skills and knowledge needed to become capable discourse analysts. Through practical coverage and advice, this book introduces discourse analysis as a set of analytical tools and perspectives that can be applied to an assignment, project, or thesis. Across seven chapters the book is divided according to practical themes and topics allowing students to establish a deeper understanding of discourse analysis. Students will be taught how to identify and categorise established theories and methodologies, including conversation analysis, critical discourse analysis and more. Through figures, examples, chapter summaries, and over thirty learning activities, this volume teaches students the foundational skills to approach the analytical process with more confidence and background knowledge, suitable for undergraduate and graduate students studying discourse analysis.
Focusing on methods for data that are ordered in time, this textbook provides a comprehensive guide to analyzing time series data using modern techniques from data science. It is specifically tailored to economics and finance applications, aiming to provide students with rigorous training. Chapters cover Bayesian approaches, nonparametric smoothing methods, machine learning, and continuous time econometrics. Theoretical and empirical exercises, concise summaries, bolded key terms, and illustrative examples are included throughout to reinforce key concepts and bolster understanding. Ancillary materials include an instructor's manual with solutions and additional exercises, PowerPoint lecture slides, and datasets. With its clear and accessible style, this textbook is an essential tool for advanced undergraduate and graduate students in economics, finance, and statistics.
Focusing on methods for data that are ordered in time, this textbook provides a comprehensive guide to analyzing time series data using modern techniques from data science. It is specifically tailored to economics and finance applications, aiming to provide students with rigorous training. Chapters cover Bayesian approaches, nonparametric smoothing methods, machine learning, and continuous time econometrics. Theoretical and empirical exercises, concise summaries, bolded key terms, and illustrative examples are included throughout to reinforce key concepts and bolster understanding. Ancillary materials include an instructor's manual with solutions and additional exercises, PowerPoint lecture slides, and datasets. With its clear and accessible style, this textbook is an essential tool for advanced undergraduate and graduate students in economics, finance, and statistics.
Learn with confidence with this hands-on undergraduate textbook for CS2 courses. Active-learning and real-world projects underpin each chapter, briefly reviewing programming fundamentals then progressing to core data structures and algorithms topics including recursion, lists, stacks, trees, graphs, sorting, and complexity analysis. Creative projects and applications put theoretical concepts into practice, helping students master the fundamentals. Dedicated project chapters supply further programming practice using real-world, interdisciplinary problems which students can showcase in their own online portfolios. Example Interview Questions sections prepare students for job applications. The pedagogy supports self-directed and skills-based learning with over 250 'Try It Yourself' boxes, many with solutions provided, and over 500 progressively challenging end-of-chapter questions. Written in a clear and engaging style, this textbook is a complete resource for teaching the fundamental skills that today's students need. Instructor resources are available online, including a test bank, solutions manual, and sample code.
Learn with confidence with this hands-on undergraduate textbook for CS2 courses. Active-learning and real-world projects underpin each chapter, briefly reviewing programming fundamentals then progressing to core data structures and algorithms topics including recursion, lists, stacks, trees, graphs, sorting, and complexity analysis. Creative projects and applications put theoretical concepts into practice, helping students master the fundamentals. Dedicated project chapters supply further programming practice using real-world, interdisciplinary problems which students can showcase in their own online portfolios. Example Interview Questions sections prepare students for job applications. The pedagogy supports self-directed and skills-based learning with over 250 'Try It Yourself' boxes, many with solutions provided, and over 500 progressively challenging end-of-chapter questions. Written in a clear and engaging style, this textbook is a complete resource for teaching the fundamental skills that today's students need. Instructor resources are available online, including a test bank, solutions manual, and sample code.
Introduction to Probability and Statistics for Data Science provides a solid course in the fundamental concepts, methods and theory of statistics for students in statistics, data science, biostatistics, engineering, and physical science programs. It teaches students to understand, use, and build on modern statistical techniques for complex problems. The authors develop the methods from both an intuitive and mathematical angle, illustrating with simple examples how and why the methods work. More complicated examples, many of which incorporate data and code in R, show how the method is used in practice. Through this guidance, students get the big picture about how statistics works and can be applied. This text covers more modern topics such as regression trees, large scale hypothesis testing, bootstrapping, MCMC, time series, and fewer theoretical topics like the Cramer-Rao lower bound and the Rao-Blackwell theorem. It features more than 250 high-quality figures, 180 of which involve actual data. Data and R are code available on our website so that students can reproduce the examples and do hands-on exercises.
Introduction to Probability and Statistics for Data Science provides a solid course in the fundamental concepts, methods and theory of statistics for students in statistics, data science, biostatistics, engineering, and physical science programs. It teaches students to understand, use, and build on modern statistical techniques for complex problems. The authors develop the methods from both an intuitive and mathematical angle, illustrating with simple examples how and why the methods work. More complicated examples, many of which incorporate data and code in R, show how the method is used in practice. Through this guidance, students get the big picture about how statistics works and can be applied. This text covers more modern topics such as regression trees, large scale hypothesis testing, bootstrapping, MCMC, time series, and fewer theoretical topics like the Cramer-Rao lower bound and the Rao-Blackwell theorem. It features more than 250 high-quality figures, 180 of which involve actual data. Data and R are code available on our website so that students can reproduce the examples and do hands-on exercises.
The third edition of this award-winning textbook provides an accessible and engaging introduction to the field of LGBTIQ+ psychology. Comprehensive in scope and international in outlook, it offers an integrated overview of key topical areas, from history and context, identities and fluidity, families and relationships, to health and wellbeing. This third edition includes updates across all chapters that provide a greater focus on diversity and utilize new terminology throughout to reflect changes in the field. It addresses recent developments in the field of trans studies, and explicitly references emerging work around pansexuality and asexuality. An entirely new chapter focuses on a diversity of topics receiving increased attention including LGBTIQ+ people in foster care, LGBTIQ+ refugees, disabled people accessing services, and trans and intersex people in sport. The fallout of increasing far-right extremism in Europe and America is also discussed. This groundbreaking textbook is an essential resource for undergraduate courses on sex, gender and sexuality in psychology and related disciplines, such as sociology, health studies, social work, education and counselling.
The third edition of this award-winning textbook provides an accessible and engaging introduction to the field of LGBTIQ+ psychology. Comprehensive in scope and international in outlook, it offers an integrated overview of key topical areas, from history and context, identities and fluidity, families and relationships, to health and wellbeing. This third edition includes updates across all chapters that provide a greater focus on diversity and utilize new terminology throughout to reflect changes in the field. It addresses recent developments in the field of trans studies, and explicitly references emerging work around pansexuality and asexuality. An entirely new chapter focuses on a diversity of topics receiving increased attention including LGBTIQ+ people in foster care, LGBTIQ+ refugees, disabled people accessing services, and trans and intersex people in sport. The fallout of increasing far-right extremism in Europe and America is also discussed. This groundbreaking textbook is an essential resource for undergraduate courses on sex, gender and sexuality in psychology and related disciplines, such as sociology, health studies, social work, education and counselling.
Retaining the broad yet practical approach of previous editions, this popular textbook has been fully updated with research and theory from the last two decades to guide students through the concepts and principles of group dynamics. It now includes a brand-new introductory chapter, three new chapters on diversity and inclusion, creativity and design, and virtual groups, and dedicated chapters on communication and perception. Each chapter features in-class 'Try this!' activities that promote understanding of practical applications, new case examples from real-world organizations, and enhanced learning objectives to guide readers' learning experience. Hundreds of new studies have been added throughout, and examples consider the effects of the COVID-19 pandemic, remote working, the MeToo movement, social media, climate change, and political polarization. Suitable for both undergraduates and first-year graduates, this textbook is supported by an online test bank, PowerPoint lecture slides, activity worksheets, and suggested additional resources.
Retaining the broad yet practical approach of previous editions, this popular textbook has been fully updated with research and theory from the last two decades to guide students through the concepts and principles of group dynamics. It now includes a brand-new introductory chapter, three new chapters on diversity and inclusion, creativity and design, and virtual groups, and dedicated chapters on communication and perception. Each chapter features in-class 'Try this!' activities that promote understanding of practical applications, new case examples from real-world organizations, and enhanced learning objectives to guide readers' learning experience. Hundreds of new studies have been added throughout, and examples consider the effects of the COVID-19 pandemic, remote working, the MeToo movement, social media, climate change, and political polarization. Suitable for both undergraduates and first-year graduates, this textbook is supported by an online test bank, PowerPoint lecture slides, activity worksheets, and suggested additional resources.
The American war in Vietnam was so much more than the sum of its battles. To make sense of it, we must look beyond the conflict itself. We must understand its context and, above all, the formative experiences, worldview, and motivations of those who devised communist strategies and tactics. Vietnam's American War, now in its second edition, remains a story of how and why Hanoi won. However, this revised and expanded edition offers more extensive and nuanced insights into Southern Vietnamese history, politics, and society. It puts to rest the myth of Vietnamese national unity by documenting the myriad, profound local fractures exacerbated by US intervention. It also includes over thirty-five new images intended to highlight that the Vietnam War was, fundamentally, a Vietnamese civil war and tragedy. This new edition is as richly detailed as it is original, eye-opening, and absorbing.
The American war in Vietnam was so much more than the sum of its battles. To make sense of it, we must look beyond the conflict itself. We must understand its context and, above all, the formative experiences, worldview, and motivations of those who devised communist strategies and tactics. Vietnam's American War, now in its second edition, remains a story of how and why Hanoi won. However, this revised and expanded edition offers more extensive and nuanced insights into Southern Vietnamese history, politics, and society. It puts to rest the myth of Vietnamese national unity by documenting the myriad, profound local fractures exacerbated by US intervention. It also includes over thirty-five new images intended to highlight that the Vietnam War was, fundamentally, a Vietnamese civil war and tragedy. This new edition is as richly detailed as it is original, eye-opening, and absorbing.
The global race to build the world's first quantum computer has attracted enormous investment from government and industry, and it attracts a growing pool of talent. As with many cutting-edge technologies, the optimal implementation is not yet settled. This important textbook describes four of the most advanced platforms for quantum computing: nuclear magnetic resonance, quantum optics, trapped ions, and superconducting systems. The fundamental physical concepts underpinning the practical implementation of quantum computing are reviewed, followed by a balanced analysis of the strengths and weaknesses inherent to each type of hardware. The text includes more than 80 carefully designed exercises with worked solutions available to instructors, applied problems from key scenarios, and suggestions for further reading, facilitating a practical and expansive learning experience. Suitable for senior undergraduate and graduate students in physics, engineering, and computer science, Building Quantum Computers is an invaluable resource for this emerging field.
The global race to build the world's first quantum computer has attracted enormous investment from government and industry, and it attracts a growing pool of talent. As with many cutting-edge technologies, the optimal implementation is not yet settled. This important textbook describes four of the most advanced platforms for quantum computing: nuclear magnetic resonance, quantum optics, trapped ions, and superconducting systems. The fundamental physical concepts underpinning the practical implementation of quantum computing are reviewed, followed by a balanced analysis of the strengths and weaknesses inherent to each type of hardware. The text includes more than 80 carefully designed exercises with worked solutions available to instructors, applied problems from key scenarios, and suggestions for further reading, facilitating a practical and expansive learning experience. Suitable for senior undergraduate and graduate students in physics, engineering, and computer science, Building Quantum Computers is an invaluable resource for this emerging field.