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East Asian International Relations
Evolution and Social Construction
, George Mason University, Virginia
Online ISBN: 9781009364607
Online publication date:
28 November 2024
- Textbook
Through the outline of a coherent theoretical foundation for understanding East Asian international relations, this textbook offers a fresh, analytical approach, including applications of evolutionary theory that differ from and contextualize the prevailing theories currently offered for studies of East Asia. It provides an extensive coverage of ancient world order and European imperialism preceding contemporary themes of security, economic development, money and finance, regionalism, the US-China rivalry, and democracy versus autocracy. Demonstrating systemically how facts and theories are constructed, and how these are bound by evolutionary constraints, students gain a realistic view of knowledge production and the mindset and tools to participate actively in determining which facts and theories are more acceptable than alternatives. Feature boxes, discussion questions, exercises, and recommended readings are incorporated into each chapter to encourage active learning. A vital new resource for advanced undergraduate and graduate students in political science, international relations, and Asian studies.
Through the outline of a coherent theoretical foundation for understanding East Asian international relations, this textbook offers a fresh, analytical approach, including applications of evolutionary theory that differ from and contextualize the prevailing theories currently offered for studies of East Asia. It provides an extensive coverage of ancient world order and European imperialism preceding contemporary themes of security, economic development, money and finance, regionalism, the US-China rivalry, and democracy versus autocracy. Demonstrating systemically how facts and theories are constructed, and how these are bound by evolutionary constraints, students gain a realistic view of knowledge production and the mindset and tools to participate actively in determining which facts and theories are more acceptable than alternatives. Feature boxes, discussion questions, exercises, and recommended readings are incorporated into each chapter to encourage active learning. A vital new resource for advanced undergraduate and graduate students in political science, international relations, and Asian studies.
A Critical Introduction to Intellectual Property Law
Texts, Cases and Materials
, City University of London
Online ISBN: 9781009182294
Online publication date:
17 May 2024
- Textbook
This highly accessible and engaging introduction to IP law encourages readers to critically evaluate the ownership of intangible goods. The rigorous pedagogy, featuring many real-world cases, both historical and up-to-date, full colour images, discussion exercises, end-of-chapter questions and activities, allows readers to engage fully with the philosophical concepts foundational of the subject, while also enabling them to independently analyse key cases, texts and materials relevant to IP law in the contemporary world. This innovative textbook, written by one of the leading authorities on the subject, is the ideal route to a full understanding of copyright, patents, designs, trade marks, passing off, remedies and litigation for undergraduate and beginning graduate students in IP law.
This highly accessible and engaging introduction to IP law encourages readers to critically evaluate the ownership of intangible goods. The rigorous pedagogy, featuring many real-world cases, both historical and up-to-date, full colour images, discussion exercises, end-of-chapter questions and activities, allows readers to engage fully with the philosophical concepts foundational of the subject, while also enabling them to independently analyse key cases, texts and materials relevant to IP law in the contemporary world. This innovative textbook, written by one of the leading authorities on the subject, is the ideal route to a full understanding of copyright, patents, designs, trade marks, passing off, remedies and litigation for undergraduate and beginning graduate students in IP law.
An Introduction to Gravity
, Reed College, Oregon
Online ISBN: 9781009389693
Online publication date:
04 May 2024
Einstein's theory of gravity can be difficult to introduce at the undergraduate level, or for self-study. One way to ease its introduction is to construct intermediate theories between the previous successful theory of gravity, Newton's, and our modern theory, Einstein's general relativity. This textbook bridges the gap by merging Newtonian gravity and special relativity (by analogy with electricity and magnetism), a process that both builds intuition about general relativity, and indicates why it has the form that it does. This approach is used to motivate the structure of the full theory, as a nonlinear field equation governing a second rank tensor with geometric interpretation, and to understand its predictions by comparing it with the, often qualitatively correct, predictions of intermediate theories between Newton's and Einstein's. Suitable for a one-semester course at junior or senior level, this student-friendly approach builds on familiar undergraduate physics to illuminate the structure of general relativity.
Einstein's theory of gravity can be difficult to introduce at the undergraduate level, or for self-study. One way to ease its introduction is to construct intermediate theories between the previous successful theory of gravity, Newton's, and our modern theory, Einstein's general relativity. This textbook bridges the gap by merging Newtonian gravity and special relativity (by analogy with electricity and magnetism), a process that both builds intuition about general relativity, and indicates why it has the form that it does. This approach is used to motivate the structure of the full theory, as a nonlinear field equation governing a second rank tensor with geometric interpretation, and to understand its predictions by comparing it with the, often qualitatively correct, predictions of intermediate theories between Newton's and Einstein's. Suitable for a one-semester course at junior or senior level, this student-friendly approach builds on familiar undergraduate physics to illuminate the structure of general relativity.
A Computational Introduction to Quantum Physics
, Oslo Metropolitan University
Online ISBN: 9781009389594
Online publication date:
24 April 2024
- Textbook
This concise textbook introduces an innovative computational approach to quantum mechanics. Over the course of this engaging and informal book, students are encouraged to take an active role in learning key concepts by working through practical exercises. The book equips readers with some basic methodology and a toolbox of scientific computing methods, so they can use code to simulate and directly visualize how quantum particles behave. The important foundational elements of the wave function and the Schrödinger equation are first introduced, then the text gradually builds up to advanced topics including relativistic, open, and non-Hermitian quantum physics. This book assumes familiarity with basic mathematics and numerical methods, and can be used to support a two-semester advanced undergraduate course. Source code and solutions for every book exercise involving numerical implementation are provided in Python and MATLAB®, along with supplementary data. Additional problems are provided online for instructor use with locked solutions.
This concise textbook introduces an innovative computational approach to quantum mechanics. Over the course of this engaging and informal book, students are encouraged to take an active role in learning key concepts by working through practical exercises. The book equips readers with some basic methodology and a toolbox of scientific computing methods, so they can use code to simulate and directly visualize how quantum particles behave. The important foundational elements of the wave function and the Schrödinger equation are first introduced, then the text gradually builds up to advanced topics including relativistic, open, and non-Hermitian quantum physics. This book assumes familiarity with basic mathematics and numerical methods, and can be used to support a two-semester advanced undergraduate course. Source code and solutions for every book exercise involving numerical implementation are provided in Python and MATLAB®, along with supplementary data. Additional problems are provided online for instructor use with locked solutions.
The Politics of the First World War
A Course in Game Theory and International Security
, University of Texas, Austin
Online ISBN: 9781108349956
Online publication date:
15 January 2024
- Textbook
The Great War is an immense, confusing and overwhelming historical conflict - the ideal case study for teaching game theory and international relations. Using thirteen historical puzzles, from the outbreak of the war and the stability of attrition, to unrestricted submarine warfare and American entry into the war, this book provides students with a rigorous yet accessible training in game theory. Each chapter shows, through guided exercises, how game theoretical models can explain otherwise challenging strategic puzzles, shedding light on the role of individual leaders in world politics, cooperation between coalitions partners, the effectiveness of international law, the termination of conflict, and the challenges of making peace. Its analytical history of World War I also surveys cutting edge political science research on international relations and the causes of war. Written by a leading game theorist known for his expertise of the war, this textbook includes useful student features such as chapter key terms, contemporary maps, a timeline of events, a list of key characters and additional end-of-chapter game-theoretic exercises.
The Great War is an immense, confusing and overwhelming historical conflict - the ideal case study for teaching game theory and international relations. Using thirteen historical puzzles, from the outbreak of the war and the stability of attrition, to unrestricted submarine warfare and American entry into the war, this book provides students with a rigorous yet accessible training in game theory. Each chapter shows, through guided exercises, how game theoretical models can explain otherwise challenging strategic puzzles, shedding light on the role of individual leaders in world politics, cooperation between coalitions partners, the effectiveness of international law, the termination of conflict, and the challenges of making peace. Its analytical history of World War I also surveys cutting edge political science research on international relations and the causes of war. Written by a leading game theorist known for his expertise of the war, this textbook includes useful student features such as chapter key terms, contemporary maps, a timeline of events, a list of key characters and additional end-of-chapter game-theoretic exercises.
Economics of Healthcare
A Brief Introduction
, Milken Institute, California
Online ISBN: 9781009258463
Online publication date:
02 November 2023
- Textbook
An approachable beginner's guide to health economics that brings the economist's way of viewing the world to bear on the fundamentals of the US healthcare system. The conversational writing style, with occasional doses of humour, allows students to see how applicable economic reasoning can be to unpacking some of the sector's thorniest issues, while accessible real-world examples teach the institutional details of healthcare and health insurance, as well as the economics that underpin the behaviour of key players in these markets. Many chapters are enhanced by 'Supplements' that offer how-to guides to tools commonly used by health economists, and economists more generally. They help form the basic 'economist's toolbox' for readers with no prior training in economics, and offer deeper dives into interesting related material. A test bank and lectures slides are available online for instructors, alongside additional resources and readings for students, taken from popular media and health care and policy journals.
An approachable beginner's guide to health economics that brings the economist's way of viewing the world to bear on the fundamentals of the US healthcare system. The conversational writing style, with occasional doses of humour, allows students to see how applicable economic reasoning can be to unpacking some of the sector's thorniest issues, while accessible real-world examples teach the institutional details of healthcare and health insurance, as well as the economics that underpin the behaviour of key players in these markets. Many chapters are enhanced by 'Supplements' that offer how-to guides to tools commonly used by health economists, and economists more generally. They help form the basic 'economist's toolbox' for readers with no prior training in economics, and offer deeper dives into interesting related material. A test bank and lectures slides are available online for instructors, alongside additional resources and readings for students, taken from popular media and health care and policy journals.
A Mind for Language
An Introduction to the Innateness Debate
, University of Connecticut
Online ISBN: 9781108647182
Online publication date:
13 October 2023
- Textbook
How does human language arise in the mind? To what extent is it innate, or something that is learned? How do these factors interact? The questions surrounding how we acquire language are some of the most fundamental about what it means to be human and have long been at the heart of linguistic theory. This book provides a comprehensive introduction to this fascinating debate, unravelling the arguments for the roles of nature and nurture in the knowledge that allows humans to learn and use language. An interdisciplinary approach is used throughout, allowing the debate to be examined from philosophical and cognitive perspectives. It is illustrated with real-life examples and the theory is explained in a clear, easy-to-read way, making it accessible for students, and other readers, without a background in linguistics. An accompanying website contains a glossary, questions for reflection, discussion themes and project suggestions, to further deepen students understanding of the material.
How does human language arise in the mind? To what extent is it innate, or something that is learned? How do these factors interact? The questions surrounding how we acquire language are some of the most fundamental about what it means to be human and have long been at the heart of linguistic theory. This book provides a comprehensive introduction to this fascinating debate, unravelling the arguments for the roles of nature and nurture in the knowledge that allows humans to learn and use language. An interdisciplinary approach is used throughout, allowing the debate to be examined from philosophical and cognitive perspectives. It is illustrated with real-life examples and the theory is explained in a clear, easy-to-read way, making it accessible for students, and other readers, without a background in linguistics. An accompanying website contains a glossary, questions for reflection, discussion themes and project suggestions, to further deepen students understanding of the material.
Introduction to Probability for Computing
, Carnegie Mellon University, Pennsylvania
Online ISBN: 9781009309097
Online publication date:
12 September 2023
- Textbook
Learn about probability as it is used in computer science with this rigorous, yet highly accessible, undergraduate textbook. Fundamental probability concepts are explained in depth, prerequisite mathematics is summarized, and a wide range of computer science applications is described. Throughout, the material is presented in a “question and answer” style designed to encourage student engagement and understanding. Replete with almost 400 exercises, real-world computer science examples, and covering a wide range of topics from simulation with computer science workloads, to statistical inference, to randomized algorithms, to Markov models and queues, this interactive text is an invaluable learning tool whether your course covers probability with statistics, with stochastic processes, with randomized algorithms, or with simulation. The teaching package includes solutions, lecture slides, and lecture notes for students.
Learn about probability as it is used in computer science with this rigorous, yet highly accessible, undergraduate textbook. Fundamental probability concepts are explained in depth, prerequisite mathematics is summarized, and a wide range of computer science applications is described. Throughout, the material is presented in a “question and answer” style designed to encourage student engagement and understanding. Replete with almost 400 exercises, real-world computer science examples, and covering a wide range of topics from simulation with computer science workloads, to statistical inference, to randomized algorithms, to Markov models and queues, this interactive text is an invaluable learning tool whether your course covers probability with statistics, with stochastic processes, with randomized algorithms, or with simulation. The teaching package includes solutions, lecture slides, and lecture notes for students.
Quantum Mechanics with Concept Maps
, Hochschule Coburg, Germany
Online ISBN: 9781009234887
Online publication date:
07 September 2023
- Textbook
Many physics textbooks take a traditional approach to the demonstration of mathematical relationships and derivations, presenting them in linear order. However, many physical derivations follow a tree-shaped structure with interconnected steps running in parallel, where numerous individual equations are manipulated and combined to reach a final result. Thus, conventional presentation often leads to derivations being spread over several book pages and linked by formula numbering. This title takes a novel and intuitive approach to introductory quantum mechanics by utilising concept maps to address non-linear structures in key mathematical relationships. Concept maps are structures in a form similar to flowcharts where derivations, concepts, and relations are visualised on one page, supported by concise accompanying text on the opposite page. Perfect as a supporting and guiding tool for undergraduates, this book is designed to aid in the understanding and memorisation of key derivations and mathematical concepts in quantum mechanics.
Many physics textbooks take a traditional approach to the demonstration of mathematical relationships and derivations, presenting them in linear order. However, many physical derivations follow a tree-shaped structure with interconnected steps running in parallel, where numerous individual equations are manipulated and combined to reach a final result. Thus, conventional presentation often leads to derivations being spread over several book pages and linked by formula numbering. This title takes a novel and intuitive approach to introductory quantum mechanics by utilising concept maps to address non-linear structures in key mathematical relationships. Concept maps are structures in a form similar to flowcharts where derivations, concepts, and relations are visualised on one page, supported by concise accompanying text on the opposite page. Perfect as a supporting and guiding tool for undergraduates, this book is designed to aid in the understanding and memorisation of key derivations and mathematical concepts in quantum mechanics.
From Spinors to Supersymmetry
, University of Bonn, , University of California, Santa Cruz, , Northern Illinois University
Online ISBN: 9781139049740
Online publication date:
06 July 2023
Supersymmetry is an extension of the successful Standard Model of particle physics; it relies on the principle that fermions and bosons are related by a symmetry, leading to an elegant predictive structure for quantum field theory. This textbook provides a comprehensive and pedagogical introduction to supersymmetry and spinor techniques in quantum field theory. By utilising the two-component spinor formalism for fermions, the authors provide many examples of practical calculations relevant for collider physics signatures, anomalies, and radiative corrections. They present in detail the component field and superspace formulations of supersymmetry and explore related concepts, including the theory of extended Higgs sectors, models of grand unification, and the origin of neutrino masses. Numerous exercises are provided at the end of each chapter. Aimed at graduate students and researchers, this volume provides a clear and unified treatment of theoretical concepts that are at the frontiers of high energy particle physics.
Supersymmetry is an extension of the successful Standard Model of particle physics; it relies on the principle that fermions and bosons are related by a symmetry, leading to an elegant predictive structure for quantum field theory. This textbook provides a comprehensive and pedagogical introduction to supersymmetry and spinor techniques in quantum field theory. By utilising the two-component spinor formalism for fermions, the authors provide many examples of practical calculations relevant for collider physics signatures, anomalies, and radiative corrections. They present in detail the component field and superspace formulations of supersymmetry and explore related concepts, including the theory of extended Higgs sectors, models of grand unification, and the origin of neutrino masses. Numerous exercises are provided at the end of each chapter. Aimed at graduate students and researchers, this volume provides a clear and unified treatment of theoretical concepts that are at the frontiers of high energy particle physics.
Time Series for Data Scientists
Data Management, Description, Modeling and Forecasting
, University of California, Los Angeles
Online ISBN: 9781108942812
Online publication date:
01 June 2023
Learn by doing with this user-friendly introduction to time series data analysis in R. This book explores the intricacies of managing and cleaning time series data of different sizes, scales and granularity, data preparation for analysis and visualization, and different approaches to classical and machine learning time series modeling and forecasting. A range of pedagogical features support students, including end-of-chapter exercises, problems, quizzes and case studies. The case studies are designed to stretch the learner, introducing larger data sets, enhanced data management skills, and R packages and functions appropriate for real-world data analysis. On top of providing commented R programs and data sets, the book's companion website offers extra case studies, lecture slides, videos and exercise solutions. Accessible to those with a basic background in statistics and probability, this is an ideal hands-on text for undergraduate and graduate students, as well as researchers in data-rich disciplines
Learn by doing with this user-friendly introduction to time series data analysis in R. This book explores the intricacies of managing and cleaning time series data of different sizes, scales and granularity, data preparation for analysis and visualization, and different approaches to classical and machine learning time series modeling and forecasting. A range of pedagogical features support students, including end-of-chapter exercises, problems, quizzes and case studies. The case studies are designed to stretch the learner, introducing larger data sets, enhanced data management skills, and R packages and functions appropriate for real-world data analysis. On top of providing commented R programs and data sets, the book's companion website offers extra case studies, lecture slides, videos and exercise solutions. Accessible to those with a basic background in statistics and probability, this is an ideal hands-on text for undergraduate and graduate students, as well as researchers in data-rich disciplines
The Grammar of Time
A Toolbox for Comparative Historical Analysis
, Villanova University, Pennsylvania
Online ISBN: 9781108652728
Online publication date:
11 May 2023
Kreuzer offers guidance to scholars looking to comparative historical analysis (CHA) for the tools to analyze macro-historical questions. Like history, CHA uses the past to formulate research questions, describe social transformations, and generate inductive insights. Like social science, CHA compares those patterns to explicate generalizable and testable theories. It operates in two different worlds—one constantly changing and full of cultural particularities and another static and full of orderly uniformities. CHA draws attention to the ontological constructions of these worlds; how scholars background historical and geographic particularities to create a social reality orderly enough for theorizing, while others foreground those particularities to re-complexify it to generate new inductive insights. CHA engages in ontological triage, dialogue between exploration and confirmation, and conversation in how to translate test results into genuine answers. This book is supplemented by online materials including introductory videos, diagnostic quizzes, advanced exercises, and annotated bibliographies.
Kreuzer offers guidance to scholars looking to comparative historical analysis (CHA) for the tools to analyze macro-historical questions. Like history, CHA uses the past to formulate research questions, describe social transformations, and generate inductive insights. Like social science, CHA compares those patterns to explicate generalizable and testable theories. It operates in two different worlds—one constantly changing and full of cultural particularities and another static and full of orderly uniformities. CHA draws attention to the ontological constructions of these worlds; how scholars background historical and geographic particularities to create a social reality orderly enough for theorizing, while others foreground those particularities to re-complexify it to generate new inductive insights. CHA engages in ontological triage, dialogue between exploration and confirmation, and conversation in how to translate test results into genuine answers. This book is supplemented by online materials including introductory videos, diagnostic quizzes, advanced exercises, and annotated bibliographies.
Inference and Learning from Data
Inference, Volume 2
, École Polytechnique Fédérale de Lausanne
Online ISBN: 9781009218245
Online publication date:
17 March 2023
- Textbook
This extraordinary three-volume work, written in an engaging and rigorous style by a world authority in the field, provides an accessible, comprehensive introduction to the full spectrum of mathematical and statistical techniques underpinning contemporary methods in data-driven learning and inference. This second volume, Inference, builds on the foundational topics established in volume I to introduce students to techniques for inferring unknown variables and quantities, including Bayesian inference, Monte Carlo Markov Chain methods, maximum-likelihood estimation, hidden Markov models, Bayesian networks, and reinforcement learning. A consistent structure and pedagogy is employed throughout this volume to reinforce student understanding, with over 350 end-of-chapter problems (including solutions for instructors), 180 solved examples, almost 200 figures, datasets and downloadable Matlab code. Supported by sister volumes Foundations and Learning, and unique in its scale and depth, this textbook sequence is ideal for early-career researchers and graduate students across many courses in signal processing, machine learning, statistical analysis, data science and inference.
This extraordinary three-volume work, written in an engaging and rigorous style by a world authority in the field, provides an accessible, comprehensive introduction to the full spectrum of mathematical and statistical techniques underpinning contemporary methods in data-driven learning and inference. This second volume, Inference, builds on the foundational topics established in volume I to introduce students to techniques for inferring unknown variables and quantities, including Bayesian inference, Monte Carlo Markov Chain methods, maximum-likelihood estimation, hidden Markov models, Bayesian networks, and reinforcement learning. A consistent structure and pedagogy is employed throughout this volume to reinforce student understanding, with over 350 end-of-chapter problems (including solutions for instructors), 180 solved examples, almost 200 figures, datasets and downloadable Matlab code. Supported by sister volumes Foundations and Learning, and unique in its scale and depth, this textbook sequence is ideal for early-career researchers and graduate students across many courses in signal processing, machine learning, statistical analysis, data science and inference.
Inference and Learning from Data
Learning, Volume 3
, École Polytechnique Fédérale de Lausanne
Online ISBN: 9781009218276
Online publication date:
24 February 2023
- Textbook
This extraordinary three-volume work, written in an engaging and rigorous style by a world authority in the field, provides an accessible, comprehensive introduction to the full spectrum of mathematical and statistical techniques underpinning contemporary methods in data-driven learning and inference. This final volume, Learning, builds on the foundational topics established in volume I to provide a thorough introduction to learning methods, addressing techniques such as least-squares methods, regularization, online learning, kernel methods, feedforward and recurrent neural networks, meta-learning, and adversarial attacks. A consistent structure and pedagogy is employed throughout this volume to reinforce student understanding, with over 350 end-of-chapter problems (including complete solutions for instructors), 280 figures, 100 solved examples, datasets and downloadable Matlab code. Supported by sister volumes Foundations and Inference, and unique in its scale and depth, this textbook sequence is ideal for early-career researchers and graduate students across many courses in signal processing, machine learning, data and inference.
This extraordinary three-volume work, written in an engaging and rigorous style by a world authority in the field, provides an accessible, comprehensive introduction to the full spectrum of mathematical and statistical techniques underpinning contemporary methods in data-driven learning and inference. This final volume, Learning, builds on the foundational topics established in volume I to provide a thorough introduction to learning methods, addressing techniques such as least-squares methods, regularization, online learning, kernel methods, feedforward and recurrent neural networks, meta-learning, and adversarial attacks. A consistent structure and pedagogy is employed throughout this volume to reinforce student understanding, with over 350 end-of-chapter problems (including complete solutions for instructors), 280 figures, 100 solved examples, datasets and downloadable Matlab code. Supported by sister volumes Foundations and Inference, and unique in its scale and depth, this textbook sequence is ideal for early-career researchers and graduate students across many courses in signal processing, machine learning, data and inference.
Partnerships with Families and Communities
Building Dynamic Relationships
, Swinburne University of Technology, Victoria, , Swinburne University of Technology, Victoria,
Online ISBN: 9781108903837
Online publication date:
21 February 2023
- Textbook
Partnerships with Families and Communities: Building Dynamic Relationships is a comprehensive and accessible resource that provides pre-service teachers with the tools required to build effective, sustainable and proactive partnerships in both early childhood and primary educational settings. This text introduces models of home-school-community partnerships in educational contexts and presents a comprehensive partnerships approach for best practice in applying and leading effective relationships with key stakeholders. It explores essential underpinning policies, legislation and research theories that position strong, positive and proactive partnerships as a systemic solution to children's learning development. Key topics covered include diversity in partnership work, reflective practice and tools for evaluating working partnerships. Each chapter includes focused pedagogy, key terms and definitions, scenarios and review questions, which enable readers to deeply engage with new concepts. 'Proactive Partners' boxes explore real-world scenarios and encourage readers to link theory with practice.
Partnerships with Families and Communities: Building Dynamic Relationships is a comprehensive and accessible resource that provides pre-service teachers with the tools required to build effective, sustainable and proactive partnerships in both early childhood and primary educational settings. This text introduces models of home-school-community partnerships in educational contexts and presents a comprehensive partnerships approach for best practice in applying and leading effective relationships with key stakeholders. It explores essential underpinning policies, legislation and research theories that position strong, positive and proactive partnerships as a systemic solution to children's learning development. Key topics covered include diversity in partnership work, reflective practice and tools for evaluating working partnerships. Each chapter includes focused pedagogy, key terms and definitions, scenarios and review questions, which enable readers to deeply engage with new concepts. 'Proactive Partners' boxes explore real-world scenarios and encourage readers to link theory with practice.
The Cambridge Introduction to Intercultural Communication
, Anglia Ruskin University, Cambridge, , Anglia Ruskin University, Cambridge
Online ISBN: 9781108904025
Online publication date:
08 February 2023
- Textbook
Uniquely interdisciplinary and accessible, The Cambridge Introduction to Intercultural Communication is the ideal text for undergraduate introductory courses in Intercultural Communication, International Communication and Cross-cultural Communication. Suitable for students and practitioners alike, it encompasses the breadth of intercultural communication as an academic field and a day-to-day experience in work and private life, including international business, public services, schools and universities. This textbook touches on a range of themes in intercultural communication, such as evolutionary and positive psychology, key concepts from critical intercultural communication, postcolonial studies and transculturality, intercultural encounters in contemporary literature and film, and the application of contemporary intercultural communication research for the development of health services and military services. The concise, up-to-date overviews of key topics are accompanied by a wide variety of tasks and eighteen case studies for in-depth discussions, homework, and assessments.
Uniquely interdisciplinary and accessible, The Cambridge Introduction to Intercultural Communication is the ideal text for undergraduate introductory courses in Intercultural Communication, International Communication and Cross-cultural Communication. Suitable for students and practitioners alike, it encompasses the breadth of intercultural communication as an academic field and a day-to-day experience in work and private life, including international business, public services, schools and universities. This textbook touches on a range of themes in intercultural communication, such as evolutionary and positive psychology, key concepts from critical intercultural communication, postcolonial studies and transculturality, intercultural encounters in contemporary literature and film, and the application of contemporary intercultural communication research for the development of health services and military services. The concise, up-to-date overviews of key topics are accompanied by a wide variety of tasks and eighteen case studies for in-depth discussions, homework, and assessments.
Modern Statutory Interpretation
Framework, Principles and Practice
, La Trobe University, Victoria, , University of Western Australia, Perth,
Online ISBN: 9781108895637
Online publication date:
05 January 2023
- Textbook
Statutory interpretation is both a distinct body of law governing the determination of the meaning of legislation and a task that requires a set of skills. It is thus an essential area of legal practice, education and research. Modern Statutory Interpretation: Framework, Principles and Practice is an original, clear, coherent and research-based account of contemporary Australian statutory interpretation. Written by experts in the field, the book provides a comprehensive coverage of statutory interpretation law as well as examining related areas such as legislative drafting, the parliamentary process, the modern history of interpretation, sources of doubt, and interpretation techniques. The content is structured in eight parts. Parts I-III introduce foundational matters, Parts IV-VII deal with the general principles of interpretation, and Part VIII examines special interpretative issues. Modern Statutory Interpretation is an essential resource for legal professionals, legal researchers, and students undertaking advanced courses in statutory interpretation in Australia.
Statutory interpretation is both a distinct body of law governing the determination of the meaning of legislation and a task that requires a set of skills. It is thus an essential area of legal practice, education and research. Modern Statutory Interpretation: Framework, Principles and Practice is an original, clear, coherent and research-based account of contemporary Australian statutory interpretation. Written by experts in the field, the book provides a comprehensive coverage of statutory interpretation law as well as examining related areas such as legislative drafting, the parliamentary process, the modern history of interpretation, sources of doubt, and interpretation techniques. The content is structured in eight parts. Parts I-III introduce foundational matters, Parts IV-VII deal with the general principles of interpretation, and Part VIII examines special interpretative issues. Modern Statutory Interpretation is an essential resource for legal professionals, legal researchers, and students undertaking advanced courses in statutory interpretation in Australia.
Language in Culture
Lectures on the Social Semiotics of Language
, University of Chicago
Online ISBN: 9781009198813
Online publication date:
22 December 2022
Language enables us to represent our world, rendering salient the identities, groups, and categories that constitute social life. Michael Silverstein (1945–2020) was at the forefront of the study of language in culture, and this book unifies a lifetime of his conceptual innovations in a set of seminal lectures. Focusing not just on what people say but how we say it, Silverstein shows how discourse unfolds in interaction. At the same time, he reveals that discourse far exceeds discrete events, stabilizing and transforming societies, politics, and markets through chains of activity. Presenting his magisterial theoretical vision in engaging prose, Silverstein unpacks technical terms through myriad examples – from brilliant readings of Marcel Marceau's pantomime, the class-laced banter of graduate students, and the poetics/politics of wine-tasting, to Fijian gossip and US courtroom talk. He draws on forebears in linguistics and anthropology while offering his distinctive semiotic approach, redefining how we think about language and culture.
Language enables us to represent our world, rendering salient the identities, groups, and categories that constitute social life. Michael Silverstein (1945–2020) was at the forefront of the study of language in culture, and this book unifies a lifetime of his conceptual innovations in a set of seminal lectures. Focusing not just on what people say but how we say it, Silverstein shows how discourse unfolds in interaction. At the same time, he reveals that discourse far exceeds discrete events, stabilizing and transforming societies, politics, and markets through chains of activity. Presenting his magisterial theoretical vision in engaging prose, Silverstein unpacks technical terms through myriad examples – from brilliant readings of Marcel Marceau's pantomime, the class-laced banter of graduate students, and the poetics/politics of wine-tasting, to Fijian gossip and US courtroom talk. He draws on forebears in linguistics and anthropology while offering his distinctive semiotic approach, redefining how we think about language and culture.
Introduction to Parallel Programming
, Indian Institute of Technology, Delhi
Online ISBN: 9781009071314
Online publication date:
27 October 2022
In modern computer science, there exists no truly sequential computing system; and most advanced programming is parallel programming. This is particularly evident in modern application domains like scientific computation, data science, machine intelligence, etc. This lucid introductory textbook will be invaluable to students of computer science and technology, acting as a self-contained primer to parallel programming. It takes the reader from introduction to expertise, addressing a broad gamut of issues. It covers different parallel programming styles, describes parallel architecture, includes parallel programming frameworks and techniques, presents algorithmic and analysis techniques and discusses parallel design and performance issues. With its broad coverage, the book can be useful in a wide range of courses; and can also prove useful as a ready reckoner for professionals in the field.
In modern computer science, there exists no truly sequential computing system; and most advanced programming is parallel programming. This is particularly evident in modern application domains like scientific computation, data science, machine intelligence, etc. This lucid introductory textbook will be invaluable to students of computer science and technology, acting as a self-contained primer to parallel programming. It takes the reader from introduction to expertise, addressing a broad gamut of issues. It covers different parallel programming styles, describes parallel architecture, includes parallel programming frameworks and techniques, presents algorithmic and analysis techniques and discusses parallel design and performance issues. With its broad coverage, the book can be useful in a wide range of courses; and can also prove useful as a ready reckoner for professionals in the field.
The Science of Deep Learning
, Massachusetts Institute of Technology and Columbia University, New York
Online ISBN: 9781108891530
Online publication date:
23 September 2022
The Science of Deep Learning emerged from courses taught by the author that have provided thousands of students with training and experience for their academic studies, and prepared them for careers in deep learning, machine learning, and artificial intelligence in top companies in industry and academia. The book begins by covering the foundations of deep learning, followed by key deep learning architectures. Subsequent parts on generative models and reinforcement learning may be used as part of a deep learning course or as part of a course on each topic. The book includes state-of-the-art topics such as Transformers, graph neural networks, variational autoencoders, and deep reinforcement learning, with a broad range of applications. The appendices provide equations for computing gradients in backpropagation and optimization, and best practices in scientific writing and reviewing. The text presents an up-to-date guide to the field built upon clear visualizations using a unified notation and equations, lowering the barrier to entry for the reader. The accompanying website provides complementary code and hundreds of exercises with solutions.
The Science of Deep Learning emerged from courses taught by the author that have provided thousands of students with training and experience for their academic studies, and prepared them for careers in deep learning, machine learning, and artificial intelligence in top companies in industry and academia. The book begins by covering the foundations of deep learning, followed by key deep learning architectures. Subsequent parts on generative models and reinforcement learning may be used as part of a deep learning course or as part of a course on each topic. The book includes state-of-the-art topics such as Transformers, graph neural networks, variational autoencoders, and deep reinforcement learning, with a broad range of applications. The appendices provide equations for computing gradients in backpropagation and optimization, and best practices in scientific writing and reviewing. The text presents an up-to-date guide to the field built upon clear visualizations using a unified notation and equations, lowering the barrier to entry for the reader. The accompanying website provides complementary code and hundreds of exercises with solutions.