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The Art of Legal Problem Solving: A Criminal Law Approach is a sophisticated skills book designed to help students develop the problem-solving techniques necessary for their legal careers. This succinct yet comprehensive book provides the perfect mix of general instruction and specific examples to encourage students to think about problems both in depth and broadly. It follows a clear roadmap presented in a logical progression, beginning with the fundamentals, fact finding and statutory interpretation before turning to the advanced areas of analysing and writing answers to problem questions. While written primarily for criminal law students, the skills imparted are generic and can be applied equally in any area of the law and in any jurisdiction. The Art of Legal Problem Solving is an indispensable work for law students who want to not only improve their problem-solving skills but master them.
The Art of Legal Problem Solving: A Criminal Law Approach is a sophisticated skills book designed to help students develop the problem-solving techniques necessary for their legal careers. This succinct yet comprehensive book provides the perfect mix of general instruction and specific examples to encourage students to think about problems both in depth and broadly. It follows a clear roadmap presented in a logical progression, beginning with the fundamentals, fact finding and statutory interpretation before turning to the advanced areas of analysing and writing answers to problem questions. While written primarily for criminal law students, the skills imparted are generic and can be applied equally in any area of the law and in any jurisdiction. The Art of Legal Problem Solving is an indispensable work for law students who want to not only improve their problem-solving skills but master them.
Cognitive and Social Neuroscience of Aging is an introduction to how aging affects the brain, intended for audiences with some knowledge of psychology, aging, or neuroscience. The book includes figures illustrating brain regions so that extensive familiarity with neuroanatomy is not a pre-requisite. The depth of coverage also makes this book appropriate for those with considerable knowledge about aging. This book adopts an integrative perspective, including topics such as memory, cognition, cognitive training, emotion, and social processes. Topics include consideration of individual differences and the impact of disorders (e.g. Alzheimer's disease) on brain function with age. Although many declines occur with age, cognitive neuroscience research reveals plasticity and adaptation in the brain as a function of normal aging. This book is written with this perspective in mind, emphasizing the ways in which neuroscience methods have enriched and changed thinking about aging.
Cognitive and Social Neuroscience of Aging is an introduction to how aging affects the brain, intended for audiences with some knowledge of psychology, aging, or neuroscience. The book includes figures illustrating brain regions so that extensive familiarity with neuroanatomy is not a pre-requisite. The depth of coverage also makes this book appropriate for those with considerable knowledge about aging. This book adopts an integrative perspective, including topics such as memory, cognition, cognitive training, emotion, and social processes. Topics include consideration of individual differences and the impact of disorders (e.g. Alzheimer's disease) on brain function with age. Although many declines occur with age, cognitive neuroscience research reveals plasticity and adaptation in the brain as a function of normal aging. This book is written with this perspective in mind, emphasizing the ways in which neuroscience methods have enriched and changed thinking about aging.
Based on the authors' extensive teaching experience, this hands-on graduate-level textbook teaches how to carry out large-scale data analytics and design machine learning solutions for big data. With a focus on fundamentals, this extensively class-tested textbook walks students through key principles and paradigms for working with large-scale data, frameworks for large-scale data analytics (Hadoop, Spark), and explains how to implement machine learning to exploit big data. It is unique in covering the principles that aspiring data scientists need to know, without detail that can overwhelm. Real-world examples, hands-on coding exercises and labs combine with exceptionally clear explanations to maximize student engagement. Well-defined learning objectives, exercises with online solutions for instructors, lecture slides, and an accompanying suite of lab exercises of increasing difficulty in Jupyter Notebooks offer a coherent and convenient teaching package. An ideal teaching resource for courses on large-scale data analytics with machine learning in computer/data science departments.
Based on the authors' extensive teaching experience, this hands-on graduate-level textbook teaches how to carry out large-scale data analytics and design machine learning solutions for big data. With a focus on fundamentals, this extensively class-tested textbook walks students through key principles and paradigms for working with large-scale data, frameworks for large-scale data analytics (Hadoop, Spark), and explains how to implement machine learning to exploit big data. It is unique in covering the principles that aspiring data scientists need to know, without detail that can overwhelm. Real-world examples, hands-on coding exercises and labs combine with exceptionally clear explanations to maximize student engagement. Well-defined learning objectives, exercises with online solutions for instructors, lecture slides, and an accompanying suite of lab exercises of increasing difficulty in Jupyter Notebooks offer a coherent and convenient teaching package. An ideal teaching resource for courses on large-scale data analytics with machine learning in computer/data science departments.
Social workers are increasingly faced with contemporary global challenges such as inequality, climate change and displacement of people. As a field committed to supporting the world's most vulnerable populations and communities, social work must adapt to meet the needs of this changing global landscape. Re-imagining Social Work broadens the imaginative horizons for social workers and acquaints readers with their potential to creatively contribute to global change. Written in an accessible style, this book motivates readers to think outside the box when it comes to linking theory to their social work practice, in order to construct innovative solutions to prominent social problems. Re-imagining Social Work provides a unique perspective on how social work can evolve for the future. Through theory and critical perspective, this book provides the skills required to be an innovative creative social worker.
Social workers are increasingly faced with contemporary global challenges such as inequality, climate change and displacement of people. As a field committed to supporting the world's most vulnerable populations and communities, social work must adapt to meet the needs of this changing global landscape. Re-imagining Social Work broadens the imaginative horizons for social workers and acquaints readers with their potential to creatively contribute to global change. Written in an accessible style, this book motivates readers to think outside the box when it comes to linking theory to their social work practice, in order to construct innovative solutions to prominent social problems. Re-imagining Social Work provides a unique perspective on how social work can evolve for the future. Through theory and critical perspective, this book provides the skills required to be an innovative creative social worker.
Dive into the foundations of intelligent systems, machine learning, and control with this hands-on, project-based introductory textbook. Precise, clear introductions to core topics in fuzzy logic, neural networks, optimization, deep learning, and machine learning, avoid the use of complex mathematical proofs, and are supported by over 70 examples. Modular chapters built around a consistent learning framework enable tailored course offerings to suit different learning paths. Over 180 open-ended review questions support self-review and class discussion, over 120 end-of-chapter problems cement student understanding, and over 20 hands-on Arduino assignments connect theory to practice, supported by downloadable Matlab and Simulink code. Comprehensive appendices review the fundamentals of modern control, and contain practical information on implementing hands-on assignments using Matlab, Simulink, and Arduino. Accompanied by solutions for instructors, this is the ideal guide for senior undergraduate and graduate engineering students, and professional engineers, looking for an engaging and practical introduction to the field.
Dive into the foundations of intelligent systems, machine learning, and control with this hands-on, project-based introductory textbook. Precise, clear introductions to core topics in fuzzy logic, neural networks, optimization, deep learning, and machine learning, avoid the use of complex mathematical proofs, and are supported by over 70 examples. Modular chapters built around a consistent learning framework enable tailored course offerings to suit different learning paths. Over 180 open-ended review questions support self-review and class discussion, over 120 end-of-chapter problems cement student understanding, and over 20 hands-on Arduino assignments connect theory to practice, supported by downloadable Matlab and Simulink code. Comprehensive appendices review the fundamentals of modern control, and contain practical information on implementing hands-on assignments using Matlab, Simulink, and Arduino. Accompanied by solutions for instructors, this is the ideal guide for senior undergraduate and graduate engineering students, and professional engineers, looking for an engaging and practical introduction to the field.
The ideal text for a two-semester graduate course on quantum mechanics. Fresh, comprehensive, and clear, it strikes the optimal balance between covering traditional material and exploring contemporary topics. Focusing on the probabilistic structure of quantum mechanics and the central role of symmetries to unify principles, this textbook guides readers through the logical development of the theory. Students will also learn about the more exciting and controversial aspects of quantum theory, with discussions on past interpretations and the current debates on cutting-edge concepts such as quantum information and entanglement, open quantum systems, and quantum measurement theory. The book has two types of content: Type A material is more elementary and is fully self-contained, functioning like a separate book within the book, while Type B content is at the level of a graduate course. Requiring minimal physics background, this textbook is appropriate for mathematics and engineering students, in addition to physicists. Introducing cutting-edge topics in the field, the book features about 150 concept-checking questions, 300 homework problems and a solutions manual.
The ideal text for a two-semester graduate course on quantum mechanics. Fresh, comprehensive, and clear, it strikes the optimal balance between covering traditional material and exploring contemporary topics. Focusing on the probabilistic structure of quantum mechanics and the central role of symmetries to unify principles, this textbook guides readers through the logical development of the theory. Students will also learn about the more exciting and controversial aspects of quantum theory, with discussions on past interpretations and the current debates on cutting-edge concepts such as quantum information and entanglement, open quantum systems, and quantum measurement theory. The book has two types of content: Type A material is more elementary and is fully self-contained, functioning like a separate book within the book, while Type B content is at the level of a graduate course. Requiring minimal physics background, this textbook is appropriate for mathematics and engineering students, in addition to physicists. Introducing cutting-edge topics in the field, the book features about 150 concept-checking questions, 300 homework problems and a solutions manual.
Andrew Radford has acquired an unrivalled reputation over the past forty years for writing syntax textbooks in which difficult concepts are clearly explained without excessive use of technical jargon. Analysing English Sentence Structure continues in this tradition, offering a well-structured intermediate course in English syntax and contemporary syntactic theory. Chapters are split into core modules, each focusing on a specific topic, and the reader is supported throughout with learning aids such as summaries, lists of key hypotheses and principles, extensive references, exercises with handy hints, and a glossary of terminology. Both teachers and instructors will benefit from the book's free online resources, which comprise an open-access Students' Answerbook, and a password-protected Teachers' Answerbook, each containing comprehensive answers to exercises, with detailed tree diagrams. The book and accompanying resources are designed to serve both as a coursebook for use in class, and as a self-study resource for use at home.
Andrew Radford has acquired an unrivalled reputation over the past forty years for writing syntax textbooks in which difficult concepts are clearly explained without excessive use of technical jargon. Analysing English Sentence Structure continues in this tradition, offering a well-structured intermediate course in English syntax and contemporary syntactic theory. Chapters are split into core modules, each focusing on a specific topic, and the reader is supported throughout with learning aids such as summaries, lists of key hypotheses and principles, extensive references, exercises with handy hints, and a glossary of terminology. Both teachers and instructors will benefit from the book's free online resources, which comprise an open-access Students' Answerbook, and a password-protected Teachers' Answerbook, each containing comprehensive answers to exercises, with detailed tree diagrams. The book and accompanying resources are designed to serve both as a coursebook for use in class, and as a self-study resource for use at home.
This accessible and practical textbook gives students the perfect guide to the use of regression models in testing and evaluating hypotheses dealing with social relationships. A range of statistical methods suited to a wide variety of dependent variables is explained, which will allow students to read, understand, and interpret complex statistical analyses of social data. Each chapter contains example applications using relevant statistical methods in both Stata and R, giving students direct experience of applying their knowledge. A full suite of online resources - including statistical command files, datasets and results files, homework assignments, class discussion topics, PowerPoint slides, and exam questions - supports the student to work independently with the data, and the instructor to deliver the most effective possible course. This is the ideal textbook for advanced undergraduate and beginning graduate students taking courses in applied social statistics.
This accessible and practical textbook gives students the perfect guide to the use of regression models in testing and evaluating hypotheses dealing with social relationships. A range of statistical methods suited to a wide variety of dependent variables is explained, which will allow students to read, understand, and interpret complex statistical analyses of social data. Each chapter contains example applications using relevant statistical methods in both Stata and R, giving students direct experience of applying their knowledge. A full suite of online resources - including statistical command files, datasets and results files, homework assignments, class discussion topics, PowerPoint slides, and exam questions - supports the student to work independently with the data, and the instructor to deliver the most effective possible course. This is the ideal textbook for advanced undergraduate and beginning graduate students taking courses in applied social statistics.
Why do people fall in love? Does passion fade with time? What makes for a happy, healthy relationship? This introduction to relationship science follows the lifecycle of a relationship – from attraction and initiation, to the hard work of relationship maintenance, to dissolution and ways to strengthen a relationship. Designed for advanced undergraduates studying psychology, communication or family studies, this textbook presents a fresh, diversity-infused approach to relationship science. It includes real-world examples and critical-thinking questions, callout boxes that challenge students to make connections, and researcher interviews that showcase the many career paths of relationship scientists. Article Spotlights reveal cutting-edge methods, while Diversity and Inclusion boxes celebrate the variety found in human love and connection. Throughout the book, students see the application of theory and come to recognize universal themes in relationships as well as the nuances of many findings. Instructors can access lecture slides, an instructor manual, and test banks.
Why do people fall in love? Does passion fade with time? What makes for a happy, healthy relationship? This introduction to relationship science follows the lifecycle of a relationship – from attraction and initiation, to the hard work of relationship maintenance, to dissolution and ways to strengthen a relationship. Designed for advanced undergraduates studying psychology, communication or family studies, this textbook presents a fresh, diversity-infused approach to relationship science. It includes real-world examples and critical-thinking questions, callout boxes that challenge students to make connections, and researcher interviews that showcase the many career paths of relationship scientists. Article Spotlights reveal cutting-edge methods, while Diversity and Inclusion boxes celebrate the variety found in human love and connection. Throughout the book, students see the application of theory and come to recognize universal themes in relationships as well as the nuances of many findings. Instructors can access lecture slides, an instructor manual, and test banks.
Rotational motion is of fundamental importance in physics and engineering, and an essential topic for undergraduates to master. This accessible yet rigorous Student's Guide focuses on the underlying principles of rotational dynamics, providing the reader with an intuitive understanding of the physical concepts, and a firm grasp of the mathematics. Key concepts covered include torque, moment of inertia, angular momentum, work and energy, and the combination of translational and rotational motion. Each chapter presents one important aspect of the topic, with derivations and analysis of the fundamental equations supported by step-by-step examples and exercises demonstrating important applications. Much of the book is focused on scenarios in which point masses and rigid bodies rotate around fixed axes, while more advanced examples of rotational motion, including gyroscopic motion, are introduced in a final chapter.
Rotational motion is of fundamental importance in physics and engineering, and an essential topic for undergraduates to master. This accessible yet rigorous Student's Guide focuses on the underlying principles of rotational dynamics, providing the reader with an intuitive understanding of the physical concepts, and a firm grasp of the mathematics. Key concepts covered include torque, moment of inertia, angular momentum, work and energy, and the combination of translational and rotational motion. Each chapter presents one important aspect of the topic, with derivations and analysis of the fundamental equations supported by step-by-step examples and exercises demonstrating important applications. Much of the book is focused on scenarios in which point masses and rigid bodies rotate around fixed axes, while more advanced examples of rotational motion, including gyroscopic motion, are introduced in a final chapter.
An engaging, comprehensive, richly illustrated textbook about the atmospheric general circulation, written by leading researchers in the field. The book elucidates the pervasive role of atmospheric dynamics in the Earth System, interprets the structure and evolution of atmospheric motions across a range of space and time scales in terms of fundamental theoretical principles, and includes relevant historical background and tutorials on research methodology. The book includes over 300 exercises and is accompanied by extensive online resources, including solutions manuals, an animations library, and an introduction to online visualization and analysis tools. This textbook is suitable as a textbook for advanced undergraduate and graduate level courses in atmospheric sciences and geosciences curricula and as a reference textbook for researchers.
An engaging, comprehensive, richly illustrated textbook about the atmospheric general circulation, written by leading researchers in the field. The book elucidates the pervasive role of atmospheric dynamics in the Earth System, interprets the structure and evolution of atmospheric motions across a range of space and time scales in terms of fundamental theoretical principles, and includes relevant historical background and tutorials on research methodology. The book includes over 300 exercises and is accompanied by extensive online resources, including solutions manuals, an animations library, and an introduction to online visualization and analysis tools. This textbook is suitable as a textbook for advanced undergraduate and graduate level courses in atmospheric sciences and geosciences curricula and as a reference textbook for researchers.
Using the unifying notion of group actions, this second course in modern algebra introduces the deeper algebraic tools needed to get into topics only hinted at in a first course, like the successful classification of finite simple groups and how groups play a role in the solutions of polynomial equations. Because groups may act as permutations of a set, as linear transformations on a vector space, or as automorphisms of a field, the deeper structure of a group may emerge from these viewpoints, two different groups can be distinguished, or a polynomial equation can be shown to be solvable by radicals. By developing the properties of these group actions, readers encounter essential algebra topics like the Sylow theorems and their applications, Galois theory, and representation theory. Warmup chapters that review and build on the first course and active learning modules help students transition to a deeper understanding of ideas.
Using the unifying notion of group actions, this second course in modern algebra introduces the deeper algebraic tools needed to get into topics only hinted at in a first course, like the successful classification of finite simple groups and how groups play a role in the solutions of polynomial equations. Because groups may act as permutations of a set, as linear transformations on a vector space, or as automorphisms of a field, the deeper structure of a group may emerge from these viewpoints, two different groups can be distinguished, or a polynomial equation can be shown to be solvable by radicals. By developing the properties of these group actions, readers encounter essential algebra topics like the Sylow theorems and their applications, Galois theory, and representation theory. Warmup chapters that review and build on the first course and active learning modules help students transition to a deeper understanding of ideas.
Stellar Structure and Evolution, the second volume in the Ohio State Astrophysics Series, takes advantage of our new era of stellar astrophysics, in which modern techniques allow us to map the interiors of stars in unprecedented detail. This textbook for upper-level undergraduate and graduate students aims to develop a broad physical understanding of the fundamental principles that dictate stellar properties. The study of stellar evolution focuses on the 'life cycle' of stars: how they are born, how they live, and how they die. As elements ejected by one generation of stars are incorporated into the next generation, stellar evolution is intertwined with the chemical evolution of our galaxy. Focusing on key physical processes without going into encyclopedic depth, the authors present stellar evolution in a contemporary context, including phenomena such as pulsations, mass loss, binary interactions, and rotation, which contribute to our understanding of stars.
Stellar Structure and Evolution, the second volume in the Ohio State Astrophysics Series, takes advantage of our new era of stellar astrophysics, in which modern techniques allow us to map the interiors of stars in unprecedented detail. This textbook for upper-level undergraduate and graduate students aims to develop a broad physical understanding of the fundamental principles that dictate stellar properties. The study of stellar evolution focuses on the 'life cycle' of stars: how they are born, how they live, and how they die. As elements ejected by one generation of stars are incorporated into the next generation, stellar evolution is intertwined with the chemical evolution of our galaxy. Focusing on key physical processes without going into encyclopedic depth, the authors present stellar evolution in a contemporary context, including phenomena such as pulsations, mass loss, binary interactions, and rotation, which contribute to our understanding of stars.
Master the principles of structural dynamics with this comprehensive and self-contained textbook, with key theoretical concepts explained through real-world engineering applications. The theory of natural modes of vibration, the finite element method and the dynamic response of structures is balanced with practical applications to give students a thorough contextual understanding of the subject. Enhanced coverage of damping, rotating systems, and parametric excitation provides students with superior understanding of these essential topics. Examples and homework problems, closely linked to real-world applications, enrich and deepen student understanding. Curated mathematical appendices equip students with all the tools necessary to excel, without disrupting coverage of core topics. Containing all the material needed for a one- or two-semester course, and accompanied online by Matlab code, this authoritative textbook is the ideal introduction for graduate students in aerospace, mechanical and civil engineering.
Master the principles of structural dynamics with this comprehensive and self-contained textbook, with key theoretical concepts explained through real-world engineering applications. The theory of natural modes of vibration, the finite element method and the dynamic response of structures is balanced with practical applications to give students a thorough contextual understanding of the subject. Enhanced coverage of damping, rotating systems, and parametric excitation provides students with superior understanding of these essential topics. Examples and homework problems, closely linked to real-world applications, enrich and deepen student understanding. Curated mathematical appendices equip students with all the tools necessary to excel, without disrupting coverage of core topics. Containing all the material needed for a one- or two-semester course, and accompanied online by Matlab code, this authoritative textbook is the ideal introduction for graduate students in aerospace, mechanical and civil engineering.
This new graduate textbook adopts a pedagogical approach to contemporary cosmology that enables readers to build an intuitive understanding of theory and data, and of how they interact, which is where the greatest advances in the field are currently being made. Using analogies, intuitive explanations of complex topics, worked examples and computational problems, the book begins with the physics of the early universe, and goes on to cover key concepts such as inflation, dark matter and dark energy, large‑scale structure, and cosmic microwave background. Computational and data analysis techniques, and statistics, are integrated throughout the text, particularly in the chapters on late-universe cosmology, while another chapter is entirely devoted to the basics of statistical methods. A solutions manual for end-of-chapter problems is available to instructors, and suggested syllabi, based on different course lengths and emphasis, can be found in the Preface. Online computer code and datasets enhance the student learning experience.
This new graduate textbook adopts a pedagogical approach to contemporary cosmology that enables readers to build an intuitive understanding of theory and data, and of how they interact, which is where the greatest advances in the field are currently being made. Using analogies, intuitive explanations of complex topics, worked examples and computational problems, the book begins with the physics of the early universe, and goes on to cover key concepts such as inflation, dark matter and dark energy, large‑scale structure, and cosmic microwave background. Computational and data analysis techniques, and statistics, are integrated throughout the text, particularly in the chapters on late-universe cosmology, while another chapter is entirely devoted to the basics of statistical methods. A solutions manual for end-of-chapter problems is available to instructors, and suggested syllabi, based on different course lengths and emphasis, can be found in the Preface. Online computer code and datasets enhance the student learning experience.
This comprehensive guide to sustainable energy builds robust connections between abstract theory and practical applications, providing students with a global perspective on this most timely subject. Includes a succinct refresher on essential thermodynamics, fluid mechanics and heat transfer, giving students a solid foundation on which to build. Introduces technologies for hydropower, biomass, geothermal, ocean, solar and wind energy, and fuel cells, with material on nuclear energy, fossil fuel generation and future energy directions, providing a consistent framework for analyzing past, present and future energy systems. Provides coding examples, and real-world case studies, giving students experience in applying theory to practice. Supported by topics for classroom debate, video solutions, and links to online resources, to interactively engage students and inspire further exploration. With a consistent structure and pedagogy, over 160 end-of-chapter problems, and solutions for instructors, this is the ideal introduction for senior undergraduate and graduate students, and a resource for energy professionals.
This comprehensive guide to sustainable energy builds robust connections between abstract theory and practical applications, providing students with a global perspective on this most timely subject. Includes a succinct refresher on essential thermodynamics, fluid mechanics and heat transfer, giving students a solid foundation on which to build. Introduces technologies for hydropower, biomass, geothermal, ocean, solar and wind energy, and fuel cells, with material on nuclear energy, fossil fuel generation and future energy directions, providing a consistent framework for analyzing past, present and future energy systems. Provides coding examples, and real-world case studies, giving students experience in applying theory to practice. Supported by topics for classroom debate, video solutions, and links to online resources, to interactively engage students and inspire further exploration. With a consistent structure and pedagogy, over 160 end-of-chapter problems, and solutions for instructors, this is the ideal introduction for senior undergraduate and graduate students, and a resource for energy professionals.
Stochastic Finance provides an introduction to mathematical finance that is unparalleled in its accessibility. Through classroom testing, the authors have identified common pain points for students, and their approach takes great care to help the reader to overcome these difficulties and to foster understanding where comparable texts often do not. Written for advanced undergraduate students, and making use of numerous detailed examples to illustrate key concepts, this text provides all the mathematical foundations necessary to model transactions in the world of finance. A first course in probability is the only necessary background. The book begins with the discrete binomial model and the finite market model, followed by the continuous Black–Scholes model. It studies the pricing of European options by combining financial concepts such as arbitrage and self-financing trading strategies with probabilistic tools such as sigma algebras, martingales and stochastic integration. All these concepts are introduced in a relaxed and user-friendly fashion.
Stochastic Finance provides an introduction to mathematical finance that is unparalleled in its accessibility. Through classroom testing, the authors have identified common pain points for students, and their approach takes great care to help the reader to overcome these difficulties and to foster understanding where comparable texts often do not. Written for advanced undergraduate students, and making use of numerous detailed examples to illustrate key concepts, this text provides all the mathematical foundations necessary to model transactions in the world of finance. A first course in probability is the only necessary background. The book begins with the discrete binomial model and the finite market model, followed by the continuous Black–Scholes model. It studies the pricing of European options by combining financial concepts such as arbitrage and self-financing trading strategies with probabilistic tools such as sigma algebras, martingales and stochastic integration. All these concepts are introduced in a relaxed and user-friendly fashion.
This popular undergraduate quantum mechanics textbook is now available in a more affordable printing from Cambridge University Press. Unlike many other books on quantum mechanics, this text begins by examining experimental quantum phenomena such as the Stern-Gerlach experiment and spin measurements, using them as the basis for developing the theoretical principles of quantum mechanics. Dirac notation is developed from the outset, offering an intuitive and powerful mathematical toolset for calculation, and familiarizing students with this important notational system. This non-traditional approach is designed to deepen students' conceptual understanding of the subject, and has been extensively class tested. Suitable for undergraduate physics students, worked examples are included throughout and end of chapter problems act to reinforce and extend important concepts. Additional activities for students are provided online, including interactive simulations of Stern-Gerlach experiments, and a fully worked solutions manual is available for instructors.
This popular undergraduate quantum mechanics textbook is now available in a more affordable printing from Cambridge University Press. Unlike many other books on quantum mechanics, this text begins by examining experimental quantum phenomena such as the Stern-Gerlach experiment and spin measurements, using them as the basis for developing the theoretical principles of quantum mechanics. Dirac notation is developed from the outset, offering an intuitive and powerful mathematical toolset for calculation, and familiarizing students with this important notational system. This non-traditional approach is designed to deepen students' conceptual understanding of the subject, and has been extensively class tested. Suitable for undergraduate physics students, worked examples are included throughout and end of chapter problems act to reinforce and extend important concepts. Additional activities for students are provided online, including interactive simulations of Stern-Gerlach experiments, and a fully worked solutions manual is available for instructors.
Introduces the two most common numerical methods for heat transfer and fluid dynamics equations, using clear and accessible language. This unique approach covers all necessary mathematical preliminaries at the beginning of the book for the reader to sail smoothly through the chapters. Students will work step-by-step through the most common benchmark heat transfer and fluid dynamics problems, firmly grounding themselves in how the governing equations are discretized, how boundary conditions are imposed, and how the resulting algebraic equations are solved. Providing a detailed discussion of the discretization steps and time approximations, and clearly presenting concepts of explicit and implicit formulations, this graduate textbook has everything an instructor needs to prepare students for their exams and future careers. Each illustrative example shows students how to draw comparisons between the results obtained using the two numerical methods, and at the end of each chapter they can test and extend their understanding by working through the problems provided. A solutions manual is also available for instructors.
Introduces the two most common numerical methods for heat transfer and fluid dynamics equations, using clear and accessible language. This unique approach covers all necessary mathematical preliminaries at the beginning of the book for the reader to sail smoothly through the chapters. Students will work step-by-step through the most common benchmark heat transfer and fluid dynamics problems, firmly grounding themselves in how the governing equations are discretized, how boundary conditions are imposed, and how the resulting algebraic equations are solved. Providing a detailed discussion of the discretization steps and time approximations, and clearly presenting concepts of explicit and implicit formulations, this graduate textbook has everything an instructor needs to prepare students for their exams and future careers. Each illustrative example shows students how to draw comparisons between the results obtained using the two numerical methods, and at the end of each chapter they can test and extend their understanding by working through the problems provided. A solutions manual is also available for instructors.
Russian Politics Today: Stability and Fragility provides an accessible and nuanced introduction to contemporary Russian politics at a time of increasing uncertainty. Using the theme of stability versus fragility as its overarching framework, this innovative textbook explores the forces that shape Russia's politics, economy, and society. The volume provides up-to-date coverage of core themes – Russia's strong presidency, its weak party system, the role of civil society, and its dependence on oil and gas revenues – alongside path-breaking chapters on the politics of race, class, gender, sexuality, and the environment. An international and diverse team of experts presents the most comprehensive available account of the evolution of Russian politics in the post-Soviet era, providing the tools for interpreting the past and the present while also offering a template for understanding future developments.
Russian Politics Today: Stability and Fragility provides an accessible and nuanced introduction to contemporary Russian politics at a time of increasing uncertainty. Using the theme of stability versus fragility as its overarching framework, this innovative textbook explores the forces that shape Russia's politics, economy, and society. The volume provides up-to-date coverage of core themes – Russia's strong presidency, its weak party system, the role of civil society, and its dependence on oil and gas revenues – alongside path-breaking chapters on the politics of race, class, gender, sexuality, and the environment. An international and diverse team of experts presents the most comprehensive available account of the evolution of Russian politics in the post-Soviet era, providing the tools for interpreting the past and the present while also offering a template for understanding future developments.