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Understanding the globalized world economy is more important than ever before. This book provides a clear, concise, and up-to-date look at the economic foundations of international trade. The authors explain the principal concepts in an engaging and accessible manner open to students from any discipline, incorporating contemporary trade data through full-colour diagrams and graphs. Throughout, economic models are discussed in the context of recent and current international trade issues, to ensure students gain a concrete understanding and see how the field impacts the real world. Written for upper undergraduate courses, the book includes feature boxes that marry theory and economics in practice to show models applied, a featured real-world application for every chapter, and over 100 end-of-chapter questions help students fully engage with and consolidate their learning. Online resources for instructors include a solutions manual, lecture slides and the book figures as JPEGs.
The globalized world economy is more important than ever before. This book provides a clear and up-to-date look at the economic foundations of international economics. Through accessible language and attractive presentation with abundant full-colour diagrams and graphs incorporating contemporary trade data, the authors explain the principal concepts in an engaging manner open to students from any discipline. Throughout, economic models are discussed in the context of recent and current international trade issues to ensure students gain a concrete understanding and see how the field impacts the real world. Written for upper undergraduate courses, the book includes feature boxes that marry theory and economics in practice to show models applied, a featured real-world application for every chapter, and over 240 end of chapter questions help students fully engage with and consolidate their learning. Online resources for instructors include a solutions manual, lecture slides and the book figures as jpgs.
This succinct introduction to the fundamental physical principles of turbulence provides a modern perspective through statistical theory, experiments, and high-fidelity numerical simulations. It describes classical concepts of turbulence and offers new computational perspectives on their interpretation based on numerical simulation databases, introducing students to phenomena at a wide range of scales. Unique, practical, multi-part physics-based exercises use realistic data of canonical turbulent flows developed by the Stanford Center for Turbulence Research to equip students with hands-on experience with practical and predictive analysis tools. Over 20 case studies spanning real-world settings such as wind farms and airplanes, color illustrations, and color-coded pedagogy support student learning. Accompanied by downloadable datasets, and solutions for instructors, this is the ideal introduction for students in aerospace, civil, environmental, and mechanical engineering and the physical sciences studying a graduate-level one-semester course on turbulence, advanced fluid mechanics, and turbulence simulation.
This enthusiastic introduction to the fundamentals of information theory builds from classical Shannon theory through to modern applications in statistical learning, equipping students with a uniquely well-rounded and rigorous foundation for further study. Introduces core topics such as data compression, channel coding, and rate-distortion theory using a unique finite block-length approach. With over 210 end-of-part exercises and numerous examples, students are introduced to contemporary applications in statistics, machine learning and modern communication theory. This textbook presents information-theoretic methods with applications in statistical learning and computer science, such as f-divergences, PAC Bayes and variational principle, Kolmogorov's metric entropy, strong data processing inequalities, and entropic upper bounds for statistical estimation. Accompanied by a solutions manual for instructors, and additional standalone chapters on more specialized topics in information theory, this is the ideal introductory textbook for senior undergraduate and graduate students in electrical engineering, statistics, and computer science.
Master the fundamentals of undergraduate electromagnetics with this concise and accessible textbook, linking theoretical principles to real-world engineering applications. Lightning, nuclear fusion, superconductors: over 80 real-world TechNote case studies throughout the book show how key electromagnetic principles work in a wide variety of natural effects and man-made devices. Learn in confidence: over 170 annotated step-by-step examples, with illustrated field patterns, aid student visualization of key physical principles, and help them build a solid foundation for future study. Dive deeper: sidenotes provide detailed proofs and context without distracting from core learning, and carefully designed appendices provide additional mathematical assistance when needed. Make progress: over 375 end-of-chapter homework problems to assess and extend student understanding. Flexible instructor support: start your students off with statics, or dive straight into dynamics, with this versatile full-color textbook for a one-or two-semester course, supported by lecture slides, instructor solutions, Matlab animations, and PowerPoint and JPEG figures.
Get up-to-speed with the fundamentals of how electricity markets are structured and operated with this comprehensive textbook, presenting coverage of key topics in electricity market design, including power system and power market operations, transmission, unit commitment, demand response, and risk management. It includes over 140 practical examples, inspired by real-industry applications, connecting key theoretical concepts to practical scenarios in electricity market design, and features over 100 coding-based examples and exercises, with selected solutions for readers. It further demonstrates how mathematical programming models are implemented in an industry setting. Requiring no experience in power systems or energy economics, this is the ideal introduction to electricity markets for senior undergraduate and graduate students in electrical engineering, economics, and operations research, and a robust introduction to the field for professionals in utilities, energy policy, and energy regulation. Accompanied online by datasets, AMPL code, supporting videos, and full solutions and lecture slides for instructors.
This chapter establishes what it means to do discourse analysis. This is done by defining discourse analysis and providing examples of discourse. The chapter offers a practical overview of how the discourse in discourse analysis fits within the research process. The examples of discourse that are introduced in this chapter are grammar, actions and practices, identities, places and spaces, stories, ideologies, and social structures. After reading the chapter, readers will know what discourse analysis is; understand that there are many types of discourse; know that discourse is an object of study; and understand how an object of study fits within a research project.
The chapter establishes the role of context in an analysis. This is done by defining context, presenting a context continuum that can be used to understand an object of study, and introducing the types of conditions that shape understandings of discourse. Six different approaches to studying context are discussed in this chapter: systemic functional linguistics, the SPEAKING model, frames, indexicality, contextualization cues, and next-turn proof procedure. After reading this chapter, readers will understand what context is and why it is important; be able to study context using different models and constructs; and know how discourse and context work together to create meaning.
This chapter reviews the perspectives and levels of an analysis that inform how an observation is made. This is done by demonstrating that there are two perspectives (language use and the human factor) and five levels (summation, description, interpretation, evaluation, and transformation) of analysis in discourse analysis. These perspectives and levels can be used to understand the frameworks of established methodologies, such as conversation analysis, critical discourse analysis, and narrative analysis. After reading this chapter, readers will know that the analytic process can combine different perspectives and levels of analysis.
This chapter extend the discussion of the basic principles of stylistics by introducing some of its core activities. In particular, it considers the origins of stylistics in Russian formalism. The chapter shows how the principles that underpinned this literary movement were combined with the emerging descriptive techniques of linguistics to offer an insight into meaning that placed the text at the heart of the interpretative enterprise.
The chapter demonstrates that selecting an object of study is a consequential part of doing discourse analysis. Selecting an object of study requires considering many planning and analytic issues that are often neglected in introductory books on discourse analysis. This chapter reviews many of these planning and analytic issues, including how to organize and present data. After reading the chapter, readers will know how to structure an analysis; understand what data excerpts are and how to introduce them in an analysis; be able to create and present an object of study as smaller data excerpts; and know how to sequence an analysis.