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Play has a significant role in children's learning and development. Play in the Early Years examines the central questions about play from the perspectives of children, families and educators, providing a comprehensive introduction to the theory and practice of play for children from birth to eight years. In its fourth edition, Play in the Early Years has been thoroughly updated in line with the revised Early Years Learning Framework and the new version of the Australian Curriculum. It takes both a both a theoretical and a practical approach, and covers recent research into conceptual play and wellbeing. The text looks at social, cultural and institutional approaches to play, and explores a range of strategies for successfully integrating play into early years settings and primary classrooms. Each chapter features case studies and play examples, with questions and reflection activities incorporated throughout to enhance learners' understanding.
Play has a significant role in children's learning and development. Play in the Early Years examines the central questions about play from the perspectives of children, families and educators, providing a comprehensive introduction to the theory and practice of play for children from birth to eight years. In its fourth edition, Play in the Early Years has been thoroughly updated in line with the revised Early Years Learning Framework and the new version of the Australian Curriculum. It takes both a both a theoretical and a practical approach, and covers recent research into conceptual play and wellbeing. The text looks at social, cultural and institutional approaches to play, and explores a range of strategies for successfully integrating play into early years settings and primary classrooms. Each chapter features case studies and play examples, with questions and reflection activities incorporated throughout to enhance learners' understanding.
Students will develop a practical understanding of data science with this hands-on textbook for introductory courses. This new edition is fully revised and updated, with numerous exercises and examples in the popular data science tool R, a new chapter on using R for statistical analysis, and a new chapter that demonstrates how to use R within a range of cloud platforms. The many practice examples, drawn from real-life applications, range from small to big data and come to life in a new end-to-end project in Chapter 11. New 'Data Science in Practice' boxes highlight how concepts introduced work within an industry context and many chapters include new sections on AI and Generative AI. A suite of online material for instructors provides a strong supplement to the book, including lecture slides, solutions, additional assessment material and curriculum suggestions. Datasets and code are available for students online. This entry-level textbook is ideal for readers from a range of disciplines wishing to build a practical, working knowledge of data science.
Students will develop a practical understanding of data science with this hands-on textbook for introductory courses. This new edition is fully revised and updated, with numerous exercises and examples in the popular data science tool R, a new chapter on using R for statistical analysis, and a new chapter that demonstrates how to use R within a range of cloud platforms. The many practice examples, drawn from real-life applications, range from small to big data and come to life in a new end-to-end project in Chapter 11. New 'Data Science in Practice' boxes highlight how concepts introduced work within an industry context and many chapters include new sections on AI and Generative AI. A suite of online material for instructors provides a strong supplement to the book, including lecture slides, solutions, additional assessment material and curriculum suggestions. Datasets and code are available for students online. This entry-level textbook is ideal for readers from a range of disciplines wishing to build a practical, working knowledge of data science.
Revised and updated throughout, the second edition of this succinct textbook provides the perfect introduction to biomaterials, linking the fundamental properties of metals, polymers, ceramics and natural biomaterials to the unique advantages and limitations surrounding their biomedical applications. New chapters on protein chemistry and interactions, immunology and tissue response, and biocompatibility round out student understanding. Clinical concerns such as sterilization, surface modification, cell-biomaterial interactions, drug delivery systems and tissue engineering are discussed, giving students insight into real-world challenges associated with biomaterials engineering. Key concepts are summarized alongside the text, allowing students to identify the most vital information. The final chapter discusses clinical applications, challenging students to consider future industrial possibilities. Concise enough to be taught in one semester, requiring only a basic understanding of biology, accompanied by over 180 end-of-chapter problems, and featuring color figures throughout, this accessible textbook continues to be ideal for students of engineering, materials science and medicine.
Revised and updated throughout, the second edition of this succinct textbook provides the perfect introduction to biomaterials, linking the fundamental properties of metals, polymers, ceramics and natural biomaterials to the unique advantages and limitations surrounding their biomedical applications. New chapters on protein chemistry and interactions, immunology and tissue response, and biocompatibility round out student understanding. Clinical concerns such as sterilization, surface modification, cell-biomaterial interactions, drug delivery systems and tissue engineering are discussed, giving students insight into real-world challenges associated with biomaterials engineering. Key concepts are summarized alongside the text, allowing students to identify the most vital information. The final chapter discusses clinical applications, challenging students to consider future industrial possibilities. Concise enough to be taught in one semester, requiring only a basic understanding of biology, accompanied by over 180 end-of-chapter problems, and featuring color figures throughout, this accessible textbook continues to be ideal for students of engineering, materials science and medicine.
Accessible and engaging, The Politics of Human Rights offers a fresh, empirical approach to understanding human dignity and the global responsibility to protect it. Unlike traditional texts, this textbook moves beyond theory, using data-driven insights to explore why human rights violations occur and how they can be prevented. It emphasizes shared responsibility across borders to uphold human rights. Designed for students and educators, this fully updated edition enhances learning with discussion questions, recommended readings, and a unique collection of films, podcasts, and websites that bring human rights issues to life. It provides a well-rounded perspective, grounded in latest social scientific research, for anyone interested in human rights. Whether used for introductory courses or interdisciplinary studies, this book equips readers with the knowledge and tools to critically engage with human rights issues, making it an essential resource for understanding and advocating for human dignity in the twenty-first century.
Accessible and engaging, The Politics of Human Rights offers a fresh, empirical approach to understanding human dignity and the global responsibility to protect it. Unlike traditional texts, this textbook moves beyond theory, using data-driven insights to explore why human rights violations occur and how they can be prevented. It emphasizes shared responsibility across borders to uphold human rights. Designed for students and educators, this fully updated edition enhances learning with discussion questions, recommended readings, and a unique collection of films, podcasts, and websites that bring human rights issues to life. It provides a well-rounded perspective, grounded in latest social scientific research, for anyone interested in human rights. Whether used for introductory courses or interdisciplinary studies, this book equips readers with the knowledge and tools to critically engage with human rights issues, making it an essential resource for understanding and advocating for human dignity in the twenty-first century.
Essentials of Geomorphology is an introductory textbook covering the latest research on landforms, both on Earth as well as on planets and moons. This easy-to-read, non-quantitative textbook hones in on the knowledge of leading experts in the field, and presents the practicality, applications and necessity of geomorphology. Replete with beautiful color figures and photographs, it contains in-depth discussions on fluvial and glacial geomorphology while also covering topics such as planetary geomorphology, biogeomorphology, Earth history and climate change, and periglacial systems. Descriptive, but also process-driven, it is intended for readers interested in physical landscapes, regardless of their previous background or level of training in geography or geology. To this end, it only includes the basic mathematics needed to understand the concepts presented.
Essentials of Geomorphology is an introductory textbook covering the latest research on landforms, both on Earth as well as on planets and moons. This easy-to-read, non-quantitative textbook hones in on the knowledge of leading experts in the field, and presents the practicality, applications and necessity of geomorphology. Replete with beautiful color figures and photographs, it contains in-depth discussions on fluvial and glacial geomorphology while also covering topics such as planetary geomorphology, biogeomorphology, Earth history and climate change, and periglacial systems. Descriptive, but also process-driven, it is intended for readers interested in physical landscapes, regardless of their previous background or level of training in geography or geology. To this end, it only includes the basic mathematics needed to understand the concepts presented.
Knowing your end-customer, how they think, and how they make decisions is crucial for the effective design and management of marketing channels. In this comprehensive and engaging new textbook, Frazier demystifies strategic channel decision-making by emphasizing the basics and using real-world examples from a range of industries to demonstrate how channels of distribution are organized and coordinated. Taking a managerial decision-making approach, students are guided through the text via a range of pedagogical features, including learning objectives and key takeaways, and can test their understanding with end-of-chapter review and discussion questions. Instructors are supported by an extensive suite of online resources, including test bank cartridges, lecture slides, and figures from the book. Every chapter is accompanied by two online case studies, one B2B, one B2C, while the instructor manual brings together teaching tips, links to relevant videos, and sample exam papers, along with model answers to the chapter assessments to assist with class marking.
Knowing your end-customer, how they think, and how they make decisions is crucial for the effective design and management of marketing channels. In this comprehensive and engaging new textbook, Frazier demystifies strategic channel decision-making by emphasizing the basics and using real-world examples from a range of industries to demonstrate how channels of distribution are organized and coordinated. Taking a managerial decision-making approach, students are guided through the text via a range of pedagogical features, including learning objectives and key takeaways, and can test their understanding with end-of-chapter review and discussion questions. Instructors are supported by an extensive suite of online resources, including test bank cartridges, lecture slides, and figures from the book. Every chapter is accompanied by two online case studies, one B2B, one B2C, while the instructor manual brings together teaching tips, links to relevant videos, and sample exam papers, along with model answers to the chapter assessments to assist with class marking.
A comprehensive yet concise history of the English language, this accessible textbook helps those studying the subject to understand the formation of English. It tells the story of the language from its remote ancestry to the present day, especially the effects of globalisation and the spread of, and subsequent changes to, English. Now in its third edition, it has been substantially revised and updated in light of new research, with an extended chapter on World Englishes, and a completely updated final chapter, which concentrate on changes to English in the twenty-first century. It makes difficult concepts very easy to understand, and the chapters are set out to make the most of the wide range of topics covered, using dozens of familiar texts, including the English of King Alfred, Chaucer, Shakespeare, and Addison. It is accompanied by a website with exercises for each chapter, and a range of extra resources.
A comprehensive yet concise history of the English language, this accessible textbook helps those studying the subject to understand the formation of English. It tells the story of the language from its remote ancestry to the present day, especially the effects of globalisation and the spread of, and subsequent changes to, English. Now in its third edition, it has been substantially revised and updated in light of new research, with an extended chapter on World Englishes, and a completely updated final chapter, which concentrate on changes to English in the twenty-first century. It makes difficult concepts very easy to understand, and the chapters are set out to make the most of the wide range of topics covered, using dozens of familiar texts, including the English of King Alfred, Chaucer, Shakespeare, and Addison. It is accompanied by a website with exercises for each chapter, and a range of extra resources.
Students will develop a practical understanding of data science with this hands-on textbook for introductory courses. This new edition is fully revised and updated, with numerous exercises and examples in the popular data science tool Python, a new chapter on using Python for statistical analysis, and a new chapter that demonstrates how to use Python within a range of cloud platforms. The many practice examples, drawn from real-life applications, range from small to big data and come to life in a new end-to-end project in Chapter 11. New 'Data Science in Practice' boxes highlight how concepts introduced work within an industry context and many chapters include new sections on AI and Generative AI. A suite of online material for instructors provides a strong supplement to the book, including lecture slides, solutions, additional assessment material and curriculum suggestions. Datasets and code are available for students online. This entry-level textbook is ideal for readers from a range of disciplines wishing to build a practical, working knowledge of data science.
Students will develop a practical understanding of data science with this hands-on textbook for introductory courses. This new edition is fully revised and updated, with numerous exercises and examples in the popular data science tool Python, a new chapter on using Python for statistical analysis, and a new chapter that demonstrates how to use Python within a range of cloud platforms. The many practice examples, drawn from real-life applications, range from small to big data and come to life in a new end-to-end project in Chapter 11. New 'Data Science in Practice' boxes highlight how concepts introduced work within an industry context and many chapters include new sections on AI and Generative AI. A suite of online material for instructors provides a strong supplement to the book, including lecture slides, solutions, additional assessment material and curriculum suggestions. Datasets and code are available for students online. This entry-level textbook is ideal for readers from a range of disciplines wishing to build a practical, working knowledge of data science.
Labour Law, now in its third edition, is a well established text which offers a comprehensive and critical account of the subject by a team of prominent labour lawyers. It examines both collective labour relations and individual employment rights, including equality law, and does so while having full regard to the international labour standards as well as the implications of Brexit. Case studies and reports from government and other public agencies illuminate the text to show how the law works in practice, ensuring that students acquire not only a sophisticated knowledge of the law but also an appreciation of its purpose and the complexity of the issues which it addresses.
Labour Law, now in its third edition, is a well established text which offers a comprehensive and critical account of the subject by a team of prominent labour lawyers. It examines both collective labour relations and individual employment rights, including equality law, and does so while having full regard to the international labour standards as well as the implications of Brexit. Case studies and reports from government and other public agencies illuminate the text to show how the law works in practice, ensuring that students acquire not only a sophisticated knowledge of the law but also an appreciation of its purpose and the complexity of the issues which it addresses.
This innovative textbook has been designed with approachability and engagement at its forefront, using language reminiscent of a live lecture and interspersing the main text with useful advice and expansions. Striking a balance between theoretical- and experimental-led approaches, this book immediately immerses the reader in charge and neutral currents, which are at the core of the Standard Model, before presenting the gauge field, allowing the introduction of Feynman diagram calculations at an early stage. This novel and effective approach gives readers a head start in understanding the Model's predictions, stoking interest early on. With in-chapter problem sessions which help readers to build their mastery of the subject, clarifying notes on equations, end of chapter exercises to consolidate learning, and marginal comments to guide readers through the complexities of the Standard Model, this is the ideal book for graduate students studying high energy physics.
This innovative textbook has been designed with approachability and engagement at its forefront, using language reminiscent of a live lecture and interspersing the main text with useful advice and expansions. Striking a balance between theoretical- and experimental-led approaches, this book immediately immerses the reader in charge and neutral currents, which are at the core of the Standard Model, before presenting the gauge field, allowing the introduction of Feynman diagram calculations at an early stage. This novel and effective approach gives readers a head start in understanding the Model's predictions, stoking interest early on. With in-chapter problem sessions which help readers to build their mastery of the subject, clarifying notes on equations, end of chapter exercises to consolidate learning, and marginal comments to guide readers through the complexities of the Standard Model, this is the ideal book for graduate students studying high energy physics.
This textbook focuses on general topology. Meant for graduate and senior undergraduate mathematics students, it introduces topology thoroughly from scratch and assumes minimal basic knowledge of real analysis and metric spaces. It begins with thought-provoking questions to encourage students to learn about topology and how it is related to, yet different from, geometry. Using concepts from real analysis and metric spaces, the definition of topology is introduced along with its motivation and importance. The text covers all the topics of topology, including homeomorphism, subspace topology, weak topology, product topology, quotient topology, coproduct topology, order topology, metric topology, and topological properties such as countability axioms, separation axioms, compactness, and connectedness. It also helps to understand the significance of various topological properties in classifying topological spaces.
This textbook focuses on general topology. Meant for graduate and senior undergraduate mathematics students, it introduces topology thoroughly from scratch and assumes minimal basic knowledge of real analysis and metric spaces. It begins with thought-provoking questions to encourage students to learn about topology and how it is related to, yet different from, geometry. Using concepts from real analysis and metric spaces, the definition of topology is introduced along with its motivation and importance. The text covers all the topics of topology, including homeomorphism, subspace topology, weak topology, product topology, quotient topology, coproduct topology, order topology, metric topology, and topological properties such as countability axioms, separation axioms, compactness, and connectedness. It also helps to understand the significance of various topological properties in classifying topological spaces.
Emphasizing how and why machine learning algorithms work, this introductory textbook bridges the gap between the theoretical foundations of machine learning and its practical algorithmic and code-level implementation. Over 85 thorough worked examples, in both Matlab and Python, demonstrate how algorithms are implemented and applied whilst illustrating the end result. Over 75 end-of-chapter problems empower students to develop their own code to implement these algorithms, equipping them with hands-on experience. Matlab coding examples demonstrate how a mathematical idea is converted from equations to code, and provide a jumping off point for students, supported by in-depth coverage of essential mathematics including multivariable calculus, linear algebra, probability and statistics, numerical methods, and optimization. Accompanied online by instructor lecture slides, downloadable Python code and additional appendices, this is an excellent introduction to machine learning for senior undergraduate and graduate students in Engineering and Computer Science.
Emphasizing how and why machine learning algorithms work, this introductory textbook bridges the gap between the theoretical foundations of machine learning and its practical algorithmic and code-level implementation. Over 85 thorough worked examples, in both Matlab and Python, demonstrate how algorithms are implemented and applied whilst illustrating the end result. Over 75 end-of-chapter problems empower students to develop their own code to implement these algorithms, equipping them with hands-on experience. Matlab coding examples demonstrate how a mathematical idea is converted from equations to code, and provide a jumping off point for students, supported by in-depth coverage of essential mathematics including multivariable calculus, linear algebra, probability and statistics, numerical methods, and optimization. Accompanied online by instructor lecture slides, downloadable Python code and additional appendices, this is an excellent introduction to machine learning for senior undergraduate and graduate students in Engineering and Computer Science.
While an understanding of electronic principles is vitally important for scientists and engineers working across many disciplines, the breadth of the subject can make it daunting. This textbook offers a concise and practical introduction to electronics, suitable for a one-semester undergraduate course as well as self-guided students. Beginning with the basics of general circuit laws and resistor circuits to ease students into the subject, the textbook then covers a wide range of topics, from passive circuits to semiconductor-based analog circuits and basic digital circuits. Exercises are provided at the end of each chapter, and answers to select questions are included at the end of the book. The complete solutions manual is available for instructors to download, together with eight laboratory exercises that parallel the text. Now in its second edition, the text has been updated and expanded with additional topic coverage and exercises.
While an understanding of electronic principles is vitally important for scientists and engineers working across many disciplines, the breadth of the subject can make it daunting. This textbook offers a concise and practical introduction to electronics, suitable for a one-semester undergraduate course as well as self-guided students. Beginning with the basics of general circuit laws and resistor circuits to ease students into the subject, the textbook then covers a wide range of topics, from passive circuits to semiconductor-based analog circuits and basic digital circuits. Exercises are provided at the end of each chapter, and answers to select questions are included at the end of the book. The complete solutions manual is available for instructors to download, together with eight laboratory exercises that parallel the text. Now in its second edition, the text has been updated and expanded with additional topic coverage and exercises.
This book offers a rich analysis of many aspects of human rights law in the UK and the European legal framework while also including critiques of human rights and the varying conceptions of rights. This book has the advantage of engaging with both Strasbourg caselaw, domestic jurisprudence and the academic scholarship. The issues covered are the right to life, the prohibition of torture, inhuman and degrading treatment, abortion and assisted dying, modern slavery and human trafficking, terrorism, immigration, privacy, hate speech, protest, religion, equality and non-discrimination.
This book offers a rich analysis of many aspects of human rights law in the UK and the European legal framework while also including critiques of human rights and the varying conceptions of rights. This book has the advantage of engaging with both Strasbourg caselaw, domestic jurisprudence and the academic scholarship. The issues covered are the right to life, the prohibition of torture, inhuman and degrading treatment, abortion and assisted dying, modern slavery and human trafficking, terrorism, immigration, privacy, hate speech, protest, religion, equality and non-discrimination.
The fourth edition of Explaining the History of American Foreign Relations reconceptualizes this long-established classic to focus squarely on methods: not what we do, but how we do what we do. It presents revised, sharply focused essays on methods for researching national security, development, political economy, gender, religion, race, emotion, and nongovernmental organizations, alongside entirely new contributions on digital resources, spatial analysis, technology, materials, the natural world, the interaction of race and empire, US-Indigenous relations, ideology, and culture. The chapters are bracketed with an essay that assesses changes in the conception of US foreign relations history, and with an overview of how US foreign relations history is practiced in China. The essays, by scholars who have made a significant contribution in their areas of specialization, highlight conceptual approaches and methods that, taken together, offer an innovative and practical 'how-to' manual for both experienced scholars and newcomers to the field.
The fourth edition of Explaining the History of American Foreign Relations reconceptualizes this long-established classic to focus squarely on methods: not what we do, but how we do what we do. It presents revised, sharply focused essays on methods for researching national security, development, political economy, gender, religion, race, emotion, and nongovernmental organizations, alongside entirely new contributions on digital resources, spatial analysis, technology, materials, the natural world, the interaction of race and empire, US-Indigenous relations, ideology, and culture. The chapters are bracketed with an essay that assesses changes in the conception of US foreign relations history, and with an overview of how US foreign relations history is practiced in China. The essays, by scholars who have made a significant contribution in their areas of specialization, highlight conceptual approaches and methods that, taken together, offer an innovative and practical 'how-to' manual for both experienced scholars and newcomers to the field.
Presenting a concise overview of astrophysical concepts, the second edition of this textbook bridges the gap between introductory astronomy books and advanced astrophysics texts. Designed for one-semester astrophysics courses, the textbook is aimed at science and engineering students with college-level calculus-based physics. The new edition features both revisions and additions, with the extension of topics such as luminosity distance and the inclusion of notable developments such as the James Webb and Roman Space Telescopes. As before, the chapters are organized into five parts, covering: stellar properties; stellar structure and evolution; the interstellar medium and star/planet formation; our Milky Way and other galaxies; and cosmology. The exposition guides students toward a comprehensive fundamental understanding, using 'Quick Questions' to spur practice in basic computations, and multi-part exercises that offer a greater challenge. The solutions to the questions are freely accessible online, with exercise solutions and lecture slides available for instructors.
Presenting a concise overview of astrophysical concepts, the second edition of this textbook bridges the gap between introductory astronomy books and advanced astrophysics texts. Designed for one-semester astrophysics courses, the textbook is aimed at science and engineering students with college-level calculus-based physics. The new edition features both revisions and additions, with the extension of topics such as luminosity distance and the inclusion of notable developments such as the James Webb and Roman Space Telescopes. As before, the chapters are organized into five parts, covering: stellar properties; stellar structure and evolution; the interstellar medium and star/planet formation; our Milky Way and other galaxies; and cosmology. The exposition guides students toward a comprehensive fundamental understanding, using 'Quick Questions' to spur practice in basic computations, and multi-part exercises that offer a greater challenge. The solutions to the questions are freely accessible online, with exercise solutions and lecture slides available for instructors.
Designed specifically for class use, this text guides students through developing their own full, working constructed language. It introduces basic concepts and the decisions students need to make about their conlang's speakers and world, before walking them through the process of conlanging in incremental stages, from selecting a language's sounds to choices about its grammar. It includes hundreds of examples from natural and constructed languages, and over seventy end-of-chapter exercises that allow students to apply concepts to an in-progress conlang and guide them in developing their own conlang. Ideal for undergraduates, the text is also suitable for more advanced students through the inclusion of clearly highlighted sections containing advanced material and optional conlang challenges. Instructor resources include an interactive slideshow for selecting stress patterns, an exercise answer guide and a sample syllabus, and student resources include a 'select-a-feature' conlang adventure, a spreadsheet of conlang features, and supplementary documentation for the exercises.
Designed specifically for class use, this text guides students through developing their own full, working constructed language. It introduces basic concepts and the decisions students need to make about their conlang's speakers and world, before walking them through the process of conlanging in incremental stages, from selecting a language's sounds to choices about its grammar. It includes hundreds of examples from natural and constructed languages, and over seventy end-of-chapter exercises that allow students to apply concepts to an in-progress conlang and guide them in developing their own conlang. Ideal for undergraduates, the text is also suitable for more advanced students through the inclusion of clearly highlighted sections containing advanced material and optional conlang challenges. Instructor resources include an interactive slideshow for selecting stress patterns, an exercise answer guide and a sample syllabus, and student resources include a 'select-a-feature' conlang adventure, a spreadsheet of conlang features, and supplementary documentation for the exercises.
Cutting-edge computational tools like artificial intelligence, data scraping, and online experiments are leading to new discoveries about the human mind. However, these new methods can be intimidating. This textbook demonstrates how Big Data is transforming the field of psychology, in an approachable and engaging way that is geared toward undergraduate students without any computational training. Each chapter covers a hot topic, such as social networks, smart devices, mobile apps, and computational linguistics. Students are introduced to the types of Big Data one can collect, the methods for analyzing such data, and the psychological theories we can address. Each chapter also includes discussion of real-world applications and ethical issues. Supplementary resources include an instructor manual with assignment questions and sample answers, figures and tables, and varied resources for students such as interactive class exercises, experiment demos, articles, and tools.
Cutting-edge computational tools like artificial intelligence, data scraping, and online experiments are leading to new discoveries about the human mind. However, these new methods can be intimidating. This textbook demonstrates how Big Data is transforming the field of psychology, in an approachable and engaging way that is geared toward undergraduate students without any computational training. Each chapter covers a hot topic, such as social networks, smart devices, mobile apps, and computational linguistics. Students are introduced to the types of Big Data one can collect, the methods for analyzing such data, and the psychological theories we can address. Each chapter also includes discussion of real-world applications and ethical issues. Supplementary resources include an instructor manual with assignment questions and sample answers, figures and tables, and varied resources for students such as interactive class exercises, experiment demos, articles, and tools.
This textbook provides students with basic literacy on key issues related to Justice, Equity, Diversity, and Inclusion in the United States. Over twelve chapters, it employs critical race theory and intersectionality to promote critical thinking and civic engagement on issues such as American culture, gendered racism, and Black reparations. Each chapter employs interactive and engaging opportunities to learn, making it the ideal introductory resource for undergraduate students. The text is structured around real-world stories, which exemplify the humanity of each person and the complexity of these issues. Causadias presents questions for further discussion or to enhance comprehension, defines key concepts, debunks popular myths, summarizes evidence from trusted sources that challenge misinformation and disinformation, and proposes in-class exercises. Curated reading lists can be found at the end of every chapter for readers to expand their understanding of different topics. This book is also available as Open Access on Cambridge Core.
This textbook provides students with basic literacy on key issues related to Justice, Equity, Diversity, and Inclusion in the United States. Over twelve chapters, it employs critical race theory and intersectionality to promote critical thinking and civic engagement on issues such as American culture, gendered racism, and Black reparations. Each chapter employs interactive and engaging opportunities to learn, making it the ideal introductory resource for undergraduate students. The text is structured around real-world stories, which exemplify the humanity of each person and the complexity of these issues. Causadias presents questions for further discussion or to enhance comprehension, defines key concepts, debunks popular myths, summarizes evidence from trusted sources that challenge misinformation and disinformation, and proposes in-class exercises. Curated reading lists can be found at the end of every chapter for readers to expand their understanding of different topics. This book is also available as Open Access on Cambridge Core.
With an emphasis on timeless essential mathematical background for optimization, this textbook provides a comprehensive and accessible introduction to convex optimization for students in applied mathematics, computer science, and engineering. Authored by two influential researchers, the book covers both convex analysis basics and modern topics such as conic programming, conic representations of convex sets, and cone-constrained convex problems, providing readers with a solid, up-to-date understanding of the field. By excluding modeling and algorithms, the authors are able to discuss the theoretical aspects in greater depth. Over 170 in-depth exercises provide hands-on experience with the theory, while more than 30 'Facts' and their accompanying proofs enhance approachability. Instructors will appreciate the appendices that cover all necessary background and the instructors-only solutions manual provided online. By the end of the book, readers will be well equipped to engage with state-of-the-art developments in optimization and its applications in decision-making and engineering.
With an emphasis on timeless essential mathematical background for optimization, this textbook provides a comprehensive and accessible introduction to convex optimization for students in applied mathematics, computer science, and engineering. Authored by two influential researchers, the book covers both convex analysis basics and modern topics such as conic programming, conic representations of convex sets, and cone-constrained convex problems, providing readers with a solid, up-to-date understanding of the field. By excluding modeling and algorithms, the authors are able to discuss the theoretical aspects in greater depth. Over 170 in-depth exercises provide hands-on experience with the theory, while more than 30 'Facts' and their accompanying proofs enhance approachability. Instructors will appreciate the appendices that cover all necessary background and the instructors-only solutions manual provided online. By the end of the book, readers will be well equipped to engage with state-of-the-art developments in optimization and its applications in decision-making and engineering.