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Numerical methods are a cornerstone of modern engineering. This lucid textbook strikes a balance between theory and analysis of numerical methods and their practical applications in engineering. Each chapter starts with the formulation and graphical representation of the numerical method. This is followed by the algorithms required to create computer assisted solutions and simulations, which are then applied on real-world examples and case studies to show how exactly they are used. Finally, the strengths and weaknesses of the numerical method under discussion is explained, thus helping the reader choose the best method for a specific problem at hand. Using extensive mathematical problems, illustrative examples and industrially relevant case studies, the book gives the readers physical insights into the ground realities of engineering applications, particularly in areas like heat transfer, fluid mechanics, mass transfer, transport phenomena, and thermodynamics.
Calculus is important for first-year undergraduate students pursuing mathematics, physics, economics, engineering, and other disciplines where mathematics plays a significant role. The book provides a thorough reintroduction to calculus with an emphasis on logical development arising out of geometric intuition. The author has restructured the subject matter in the book by using Tarski's version of the completeness axiom, introducing integration before differentiation and limits, and emphasizing benefits of monotonicity before continuity. The standard transcendental functions are developed early in a rigorous manner and the monotonicity theorem is proved before the mean value theorem. Each concept is supported by diverse exercises which will help the reader to understand applications and take them nearer to real and complex analysis.
Linguistic contact is a reality of everyday life, as speakers of different languages come into contact with one another, often causing language change. This undergraduate textbook provides a means by which these processes, both modern and historical, can be analysed, based on cutting-edge theoretical and methodological practices. Chapters cover language death, the development of pidgins and creoles, linguistic convergence and language contact, and new variety formation. Each chapter is subdivided into key themes, which are supported by diverse and real-world case studies. Student learning is bolstered by illustrative maps, exercises, research tasks, further reading suggestions, and a glossary. Ancillary resources are available including extra content not covered in the book, links to recordings of some of the language varieties covered, and additional discussion, presentation and essay topics. Primarily for undergraduate students of linguistics, it provides a balanced, historically grounded, and up-to-date introduction to linguistic contact and language change.
Student Engagement: Promoting Positive Classroom Behaviour encourages pre-service teachers in Australian primary and secondary schools to make choices about how best to design and manage their classrooms and schools to maximise productive behaviour and learning. The text explores numerous dimensions of student engagement from within and outside school settings, including verbal and non-verbal communication; disengaged behaviours and corrective strategies; trauma-informed practice; working with students with emotional and behavioural disorders; and bullying prevention and intervention strategies. Linking to the Australian Professional Standards for Teachers (APSTs), each chapter includes 'Embedding the theory' and 'Story from the field' boxes that discuss the theoretical research behind different approaches to engagement and explore their practical applications. 'Making professional decisions' boxes at the end of each chapter also provide further guidance on how to approach different situations and build a repertoire of resources for practice.
Explore the fundamentals of biomedical engineering technologies with this thought-provoking introduction, framed around modern-day global cancer inequities. Connecting engineering principles to real-world global health scenarios, this textbook introduces major technological advances in cancer care through the lens of global health inequity, discusses how promising new technologies can address this inequity, and demonstrates how novel medical technologies are adopted for real-world clinical use. It includes modular chapters designed to enable a flexible pathway through material, for students from a wide range of backgrounds; boxed discussion of contemporary issues in engineering for global health, encouraging students to explore ethical questions related to science and society; supplementary lab modules for hands-on experience in translating engineering principles into healthcare solutions; and over 200 end-of-chapter problems, targeting multiple learning outcomes to solidify student understanding. This introduction is designed to equip students with all the critical, technical, and ethical knowledge they need to excel.
This introduction to discourse analysis provides students with an accessible, yet comprehensive, overview of the subject and all the skills and knowledge needed to become capable discourse analysts. Through practical coverage and advice, this book introduces discourse analysis as a set of analytical tools and perspectives that can be applied to an assignment, project, or thesis. Across seven chapters the book is divided according to practical themes and topics allowing students to establish a deeper understanding of discourse analysis. Students will be taught how to identify and categorise established theories and methodologies, including conversation analysis, critical discourse analysis and more. Through figures, examples, chapter summaries, and over thirty learning activities, this volume teaches students the foundational skills to approach the analytical process with more confidence and background knowledge, suitable for undergraduate and graduate students studying discourse analysis.
Focusing on methods for data that are ordered in time, this textbook provides a comprehensive guide to analyzing time series data using modern techniques from data science. It is specifically tailored to economics and finance applications, aiming to provide students with rigorous training. Chapters cover Bayesian approaches, nonparametric smoothing methods, machine learning, and continuous time econometrics. Theoretical and empirical exercises, concise summaries, bolded key terms, and illustrative examples are included throughout to reinforce key concepts and bolster understanding. Ancillary materials include an instructor's manual with solutions and additional exercises, PowerPoint lecture slides, and datasets. With its clear and accessible style, this textbook is an essential tool for advanced undergraduate and graduate students in economics, finance, and statistics.
Learn with confidence with this hands-on undergraduate textbook for CS2 courses. Active-learning and real-world projects underpin each chapter, briefly reviewing programming fundamentals then progressing to core data structures and algorithms topics including recursion, lists, stacks, trees, graphs, sorting, and complexity analysis. Creative projects and applications put theoretical concepts into practice, helping students master the fundamentals. Dedicated project chapters supply further programming practice using real-world, interdisciplinary problems which students can showcase in their own online portfolios. Example Interview Questions sections prepare students for job applications. The pedagogy supports self-directed and skills-based learning with over 250 'Try It Yourself' boxes, many with solutions provided, and over 500 progressively challenging end-of-chapter questions. Written in a clear and engaging style, this textbook is a complete resource for teaching the fundamental skills that today's students need. Instructor resources are available online, including a test bank, solutions manual, and sample code.
Chapter 7 considers structural loading and response of horizontal-axis machines, with some theoretical background and illustrative measurements from different wind turbine types. The chapter begins with a recap on the dynamics of a single degree of freedom system, leading into a discussion of multi-DOF systems and modal analysis. The cyclic loads affecting a wind turbine structure are described including wind shear, tower shadow, and rotationally sampled turbulence. The concepts of stochastic and deterministic loading are explained and the principle of aerodynamic damping illustrated. Qualitative descriptions are given of gyroscopic, centrifugal, and electromechanical loading. The phenomenon of blade edgewise stall vibration is explained, with discussion of mechanical damper solutions. The last part of the chapter draws on an early experimental campaign in which the dynamic loading on a full scale wind turbine was measured and compared with the results of software simulation. Results from the same trials also demonstrate the difference in rotor thrust loading arising from positive and negative pitch control. The chapter concludes with a brief summary of fatigue prediction methods.
Chapter 4 starts with a discussion of imperialism constructed as a fact and as theory. It highlights the major disruptions in East Asian and world history. The prevailing realist, liberal institutionalist, and constructivist theories are not scaled to explain such dramatic transformations of East Asia by Western imperialism. Rather, a historical sociological approach anchored on evolutionary theory is a better fit. Western domination based on the rise of the West in terms of economic, technological, and military power took several centuries to complete. Some East Asian empires were also expanding after 1500. A turning point was Britain’s defeat of China in the Opium War of 1839–1842. After that, East Asian nations engaged earnestly in reform. Some, like Japan, succeeded, while others, like China, failed, resulting in a great divergence among Asian countries. To some extent, much of East Asia still lives in the shadow of that imperialist past.
This chapter is a largely non-technical overview of economic and political aspects of wind energy policy. The cost of wind energy is assessed in terms of Levelised Cost of Energy (LCoE) with equations given in full and simplified form. Using a large database historic installed costs for UK wind both on- and offshore are given, from the earliest projects to the present day. The observed trends are discussed. Operational and balancing costs are outlined, the latter reflecting the intermittency of wind power. LCoE estimates are made for a range of installed costs and output capacity factors at typical discount rates, and compared with current generation prices. The chapter considers the economics of onsite generation with the example of a private business using wind energy to offset demand; the energy displacement and export statistics are extrapolated to compare with a national scenario for 100% renewable electricity generation. The topic of ownership is introduced and examined in the context of the UK’s first community-owned windfarm. The chapter concludes with a brief review of UK renewable energy policy, which originated with legislation to protect the nuclear power industry.
Chapter 1 introduces evolution theory and evolutionary explanation for studies of East Asian international relations and lays out the design of the whole book
This chapter introduces some nonlinear time series models of widespread use in economics and finance. Specifically, we consider structural breaks, GARCH models, and copula models.
The final chapter takes a wider look at wind turbine technology in the context of a potential 100% renewable electricity supply at national or state level. The problem of intermittency is explained, together with the role of overcapacity and wind turbine power density in helping to solve it. A section on energy storage considers the theoretical storage capacity that would be needed at national level to enable wind power to serve all demand, with high level analysis using one year’s data from the UK national grid; a second case study considers the State of Texas again using measured hourly data. The potential to combine solar and wind power is examined for both case studies, in proportions so as to minimise the energy storage requirement. The economics of a wind/solar grid with storage are explored with LCOE analysis, and the results discussed in the context of different storage technologies, with a range of installed costs. The final section examines the sustainability of wind turbine manufacture, decommissioning, and disposal, with examples of new technology to reduce associated CO2 emissions. These include decarbonised steel production, recyclable blades and wood laminate towers.
This chapter gives a more comprehensive treatment of nonparametric methods for estimating density functions and dynamic regression models. We also consider the emerging material on the case where there are many explanatory variables and how selection methods can be used to apply estimation and inference techniques to this case.