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Write A Good Introduction For An Essay

Carrie Winstanley Writing Essays For Dummies

Carrie Winstanley Writing Essays For Dummies

Do ever wish that you could write the perfect university essay? Are you left baffled about where to start? This easy-to-use guide walks you through the nuts and bolts of academic writing, helping you develop your essay-writing skills and achieve higher marks. From identifying the essay type and planning a structure, to honing your research skills, managing your time, finding an essay voice, and referencing correctly, Writing Essays For Dummies shows you how to stay on top of each stage of the essay-writing process, to help you produce a well-crafted and confident final document. Writing Essays For Dummies covers: Part I: Navigating a World of Information Chapter 1: Mapping Your Way: Starting to Write Essays Chapter 2: Identifying the essay type Part II: Researching, Recording and Reformulating Chapter 3: Eyes Down: Academic reading Chapter 4: Researching Online Chapter 5: Note-taking and Organising your Material Chapter 6: Avoiding Plagiarism Part III: Putting Pen to Paper Chapter 7: Writing as a process Chapter 8: Getting Going and Keeping Going Part IV: Mastering Language and Style Chapter 9: Writing with Confidence Chapter 10: Penning the Perfect Paragraph Chapter 11: Finding Your Voice Part V: Tightening Your Structure and Organisation Chapter 12: Preparing the Aperitif: The Introduction Chapter 13: Serving the Main Course: The Essay’s Body Chapter 14: Dishing up Dessert: The Conclusion Chapter 15: Acknowledging Sources of Information Part VI: Finishing with a Flourish: The Final Touches Chapter 16: It’s all in the detail Chapter 17: Perfecting Your Presentation Chapter 18: The afterglow Part VII: Part of Tens

A. Pyle J. Locke

A. Pyle J. Locke

John Locke (1632-1704) has a good claim to the title of the greatest ever English philosopher, and was a founding father of both the empiricist tradition in philosophy and the liberal tradition in politics. This new book provides an accessible introduction to Locke’s thought. Although its primary focus is on the Essay Concerning Human Understanding, it also discusses the Two Treatises on Government, the Essay on Toleration, and the Reasonableness of Christianity, and draws on materials from Locke’s correspondence and notebooks to shed light on the contexts of these major works. Locke’s arguments for his central claims are subjected to close scrutiny, and his replies to his main critics evaluated. A.J. Pyle takes as his guiding theme Locke’s own maxim, that God has given humans enough knowledge for our needs. The philosopher who emerges from these pages is a strikingly modern figure, anti-metaphysical in his attitude both to science and to theology, anti-authoritarian in his politics, and cautiously optimistic about human progress. Locke is indeed one of the founding figures of the Enlightenment, but for Pyle the Lockean Enlightenment is a modest affair of slow and hesitant groping towards the light. As well as serving as an introduction to Locke for students, the book also helps to correct a number of significant errors and misunderstandings that have marred our understanding of Locke and will spark discussion and debate amongst scholars of his work.

Jochen Voss An Introduction to Statistical Computing. A Simulation-based Approach

Jochen Voss An Introduction to Statistical Computing. A Simulation-based Approach

A comprehensive introduction to sampling-based methods in statistical computing The use of computers in mathematics and statistics has opened up a wide range of techniques for studying otherwise intractable problems. Sampling-based simulation techniques are now an invaluable tool for exploring statistical models. This book gives a comprehensive introduction to the exciting area of sampling-based methods. An Introduction to Statistical Computing introduces the classical topics of random number generation and Monte Carlo methods. It also includes some advanced methods such as the reversible jump Markov chain Monte Carlo algorithm and modern methods such as approximate Bayesian computation and multilevel Monte Carlo techniques An Introduction to Statistical Computing: Fully covers the traditional topics of statistical computing. Discusses both practical aspects and the theoretical background. Includes a chapter about continuous-time models. Illustrates all methods using examples and exercises. Provides answers to the exercises (using the statistical computing environment R); the corresponding source code is available online. Includes an introduction to programming in R. This book is mostly self-contained; the only prerequisites are basic knowledge of probability up to the law of large numbers. Careful presentation and examples make this book accessible to a wide range of students and suitable for self-study or as the basis of a taught course

J. Oden Tinsley An Introduction to Mathematical Modeling. A Course in Mechanics

J. Oden Tinsley An Introduction to Mathematical Modeling. A Course in Mechanics

A modern approach to mathematical modeling, featuring unique applications from the field of mechanics An Introduction to Mathematical Modeling: A Course in Mechanics is designed to survey the mathematical models that form the foundations of modern science and incorporates examples that illustrate how the most successful models arise from basic principles in modern and classical mathematical physics. Written by a world authority on mathematical theory and computational mechanics, the book presents an account of continuum mechanics, electromagnetic field theory, quantum mechanics, and statistical mechanics for readers with varied backgrounds in engineering, computer science, mathematics, and physics. The author streamlines a comprehensive understanding of the topic in three clearly organized sections: Nonlinear Continuum Mechanics introduces kinematics as well as force and stress in deformable bodies; mass and momentum; balance of linear and angular momentum; conservation of energy; and constitutive equations Electromagnetic Field Theory and Quantum Mechanics contains a brief account of electromagnetic wave theory and Maxwell's equations as well as an introductory account of quantum mechanics with related topics including ab initio methods and Spin and Pauli's principles Statistical Mechanics presents an introduction to statistical mechanics of systems in thermodynamic equilibrium as well as continuum mechanics, quantum mechanics, and molecular dynamics Each part of the book concludes with exercise sets that allow readers to test their understanding of the presented material. Key theorems and fundamental equations are highlighted throughout, and an extensive bibliography outlines resources for further study. Extensively class-tested to ensure an accessible presentation, An Introduction to Mathematical Modeling is an excellent book for courses on introductory mathematical modeling and statistical mechanics at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for professionals working in the areas of modeling and simulation, physics, and computational engineering.


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