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Who Wrote Citizen Kane?: Statistical Analysis of Disputed Co-Authorship (Quantitative Methods in the Humanities and Social Sciences)
by Warren BucklandThis book offers a solution to one of film history’s major controversies: the long-running dispute over Orson Welles’ and Herman J. Mankiewicz’s contributions to the Citizen Kane screenplay. It establishes the vital importance of computing and statistics to solving previously intractable puzzles in the arts and humanities. Citizen Kane (1941) is one of the most acclaimed films in the history of cinema. For 50 years it topped the Sight & Sound film critics’ poll. Orson Welles directed the film and is credited with co-writing the screenplay with Herman J. Mankiewicz. But the co-writer credit generates furious disputes between those who argue Mankiewicz is the sole author of Citizen Kane and those who claim that Welles collaborated fully with its writing. The author employs computing and statistics to answer two questions: What are the distinguishing features of Welles’ and of Mankiewicz’s writing? And What did each contribute to the writing of the Citizen Kane screenplay? To answer these questions, the author bypasses opinions and impressions, and instead subjects the language of the Citizen Kane screenplay to a ‘forensic’ examination. Employing linguistics, basic statistical tests, plus computer technology and software, the author identifies the stylistic signature of each author – the combination of consistent and regular linguistic habits that make each author’s writing distinctive. This book replaces impressionistic discussions of Mankiewicz’s and Welles’ contributions to the Citizen Kane screenplay with a rigorous, experiment-driven statistical analysis. Earlier statistical studies of authorship have discovered that small, unassuming language features (such as punctuation, pronouns, and prepositions) in statistically significant quantities, constitute a screenwriter’s distinctive writing habits. Only with the extensive experimentation carried out in this volume, did the author decide Mankiewicz’s and Welles’ specific habits and their contributions to Citizen Kane.
The Whole Truth About Whole Numbers
by Sylvia Forman Agnes M. RashThe Whole Truth About Whole Numbers is an introduction to the field of Number Theory for students in non-math and non-science majors who have studied at least two years of high school algebra. Rather than giving brief introductions to a wide variety of topics, this book provides an in-depth introduction to the field of Number Theory. The topics covered are many of those included in an introductory Number Theory course for mathematics majors, but the presentation is carefully tailored to meet the needs of elementary education, liberal arts, and other non-mathematical majors. The text covers logic and proofs, as well as major concepts in Number Theory, and contains an abundance of worked examples and exercises to both clearly illustrate concepts and evaluate the students' mastery of the material.
Who's #1?: The Science of Rating and Ranking
by Amy N. Langville Carl D. MeyerThe mathematics behind today's most widely used rating and ranking methodsA website's ranking on Google can spell the difference between success and failure for a new business. NCAA football ratings determine which schools get to play for the big money in postseason bowl games. Product ratings influence everything from the clothes we wear to the movies we select on Netflix. Ratings and rankings are everywhere, but how exactly do they work? Who's #1? offers an engaging and accessible account of how scientific rating and ranking methods are created and applied to a variety of uses.Amy Langville and Carl Meyer provide the first comprehensive overview of the mathematical algorithms and methods used to rate and rank sports teams, political candidates, products, Web pages, and more. In a series of interesting asides, Langville and Meyer provide fascinating insights into the ingenious contributions of many of the field's pioneers. They survey and compare the different methods employed today, showing why their strengths and weaknesses depend on the underlying goal, and explaining why and when a given method should be considered. Langville and Meyer also describe what can and can't be expected from the most widely used systems.The science of rating and ranking touches virtually every facet of our lives, and now you don't need to be an expert to understand how it really works. Who's #1? is the definitive introduction to the subject. It features easy-to-understand examples and interesting trivia and historical facts, and much of the required mathematics is included.
Whose Math Is It?: Building Student Ownership in Mathematics
by Joseph AssofFoster Confidence and Ownership in Every Math Student When it comes to math, does it feel like some students embrace problem-solving with agency and ownership while others are confused—or simply along for the ride? How do educators bridge that divide to develop competence, confidence, and ownership in every student? The answers lie in establishing clear and effective measures for success. Steeped in the principles of success criteria, Whose Math Is It? provides educators with everything they need to create a classroom environment where students feel empowered to step up and take the lead. Divided into two parts, this must-read guide first defines what success looks like for math students, then provides the research-based best practices teachers can use to help students take control of their learning. Learn how to: Define and establish effective success criteria in a mathematics classroom Implement a variety of strategies to support student ownership and success Develop class-wide social norms specific to math Promote metacognition through self-regulated learning, self-assessment, and feedback Reinforce student ownership through structured peer interactions and collaboration Whose Math Is It? is an essential resource for K-12 math teachers who want to empower their students to actively own their mathematics learning. By emphasizing the importance of success criteria, promoting self-regulated learning, and developing math-specific social norms, this book provides practical strategies for creating an environment where when asked, "Whose math is it?" every student can emphatically respond: My math!
Whose Math Is It?: Building Student Ownership in Mathematics
by Joseph AssofFoster Confidence and Ownership in Every Math Student When it comes to math, does it feel like some students embrace problem-solving with agency and ownership while others are confused—or simply along for the ride? How do educators bridge that divide to develop competence, confidence, and ownership in every student? The answers lie in establishing clear and effective measures for success. Steeped in the principles of success criteria, Whose Math Is It? provides educators with everything they need to create a classroom environment where students feel empowered to step up and take the lead. Divided into two parts, this must-read guide first defines what success looks like for math students, then provides the research-based best practices teachers can use to help students take control of their learning. Learn how to: Define and establish effective success criteria in a mathematics classroom Implement a variety of strategies to support student ownership and success Develop class-wide social norms specific to math Promote metacognition through self-regulated learning, self-assessment, and feedback Reinforce student ownership through structured peer interactions and collaboration Whose Math Is It? is an essential resource for K-12 math teachers who want to empower their students to actively own their mathematics learning. By emphasizing the importance of success criteria, promoting self-regulated learning, and developing math-specific social norms, this book provides practical strategies for creating an environment where when asked, "Whose math is it?" every student can emphatically respond: My math!
Why
by Samantha KleinbergCan drinking coffee help people live longer? What makes a stock's price go up? Why did you get the flu? Causal questions like these arise on a regular basis, but most people likely have not thought deeply about how to answer them.This book helps you think about causality in a structured way: What is a cause, what are causes good for, and what is compelling evidence of causality? Author Samantha Kleinberg shows you how to develop a set of tools for thinking more critically about causes. You'll learn how to question claims, identify causes, make decisions based on causal information, and verify causes through further tests.Whether it's figuring out what data you need, or understanding that the way you collect and prepare data affects the conclusions you can draw from it, Why will help you sharpen your causal inference skills.
Why Cats Land on Their Feet: And 76 Other Physical Paradoxes and Puzzles
by Mark LeviHow to use physical reasoning to solve surprising paradoxesEver wonder why cats land on their feet? Or what holds a spinning top upright? Or whether it is possible to feel the Earth's rotation in an airplane? Why Cats Land on Their Feet is a compendium of paradoxes and puzzles that readers can solve using their own physical intuition. And the surprising answers to virtually all of these astonishing paradoxes can be arrived at with no formal knowledge of physics.Mark Levi introduces each physical problem, sometimes gives a hint or two, and then fully explains the solution. Here readers can test their critical-thinking skills against a whole assortment of puzzles and paradoxes involving floating and diving, sailing and gliding, gymnastics, bike riding, outer space, throwing a ball from a moving car, centrifugal force, gyroscopic motion, and, of course, falling cats.Want to figure out how to open a wine bottle with a book? Or how to compute the square root of a number using a tennis shoe and a watch? Why Cats Land on Their Feet shows you how, and all that's required is a familiarity with basic high-school mathematics. This lively collection also features an appendix that explains all physical concepts used in the book, from Newton's laws to the fundamental theorem of calculus.
Why Does Math Work … If It's Not Real?: Episodes in Unreasonable Effectiveness
by Dragan RadulovićAccording to G. H. Hardy, the 'real' mathematics of the greats like Fermat and Euler is 'useless,' and thus the work of mathematicians should not be judged on its applicability to real-world problems. Yet, mysteriously, much of mathematics used in modern science and technology was derived from this 'useless' mathematics. Mobile phone technology is based on trig functions, which were invented centuries ago. Newton observed that the Earth's orbit is an ellipse, a curve discovered by ancient Greeks in their futile attempt to double the cube. It is like some magic hand had guided the ancient mathematicians so their formulas were perfectly fitted for the sophisticated technology of today. Using anecdotes and witty storytelling, this book explores that mystery. Through a series of fascinating stories of mathematical effectiveness, including Planck's discovery of quanta, mathematically curious readers will get a sense of how mathematicians develop their concepts.
Why Fiscal Stimulus Programs Fail, Volume 1: The Limits of Accommodative Monetary Policy in Practice
by John J. HeimThis book offers a series of statistical tests to determine if the “crowd out” problem, known to hinder the effectiveness of Keynesian economic stimulus programs, can be overcome by monetary programs. It concludes there are programs that can do this, specifically “accommodative monetary policy.” They were not used to any great extent prior to the Quantitative Easing program in 2008, causing the failure of many fiscal stimulus programs through no fault of their own. The book includes exhaustive statistical tests to prove this point. There is also a policy analysis section of the book. It examines how effectively the Federal Reserve’s anti-crowd out programs have actually worked, to the extent they were undertaken at all. It finds statistical evidence that using commercial and savings banks instead of investment banks when implementing accommodating monetary policy would have markedly improved their effectiveness. This volume, with its companion volume Why Fiscal Stimulus Programs Fail, Volume 2: Statistical Tests Comparing Monetary Policy to Growth, provides 1000 separate statistical tests on the US economy to prove these assertions.
Why Fiscal Stimulus Programs Fail, Volume 2: Statistical Tests Comparing Monetary Policy to Growth Effects
by John J. HeimThis book scientifically tests the assertion that accommodative monetary policy can eliminate the “crowd out” problem, allowing fiscal stimulus programs (such as tax cuts or increased government spending) to stimulate the economy as intended. It also tests to see if natural growth in th economy can cure the crowd out problem as well or better. The book is intended to be the largest scale scientific test ever performed on this topic. It includes about 800 separate statistical tests on the U.S. economy testing different parts or all of the period 1960 – 2010. These tests focus on whether accommodative monetary policy, which increases the pool of loanable resources, can offset the crowd out problem as well as natural growth in the economy. The book, employing the best scientific methods available to economists for this type of problem, concludes accommodate monetary policy could have, but until the quantitative easing program, Federal Reserve efforts to accommodate fiscal stimulus programs were not large enough to offset more than 23% to 44% of any one year’s crowd out problem. That provides the science part of the answer as to why accommodative monetary policy didn’t accommodate: too little of it was tried. The book also tests whether other increases in loanable funds, occurring because of natural growth in the economy or changes in the savings rate can also offset crowd out. It concludes they can, and that these changes tend to be several times as effective as accommodative monetary policy. This book’s companion volume Why Fiscal Stimulus Programs Fail explores the policy implications of these results.
Why Is There Philosophy of Mathematics At All?
by Ian HackingThis truly philosophical book takes us back to fundamentals - the sheer experience of proof, and the enigmatic relation of mathematics to nature. It asks unexpected questions, such as 'what makes mathematics mathematics?', 'where did proof come from and how did it evolve?', and 'how did the distinction between pure and applied mathematics come into being?' In a wide-ranging discussion that is both immersed in the past and unusually attuned to the competing philosophical ideas of contemporary mathematicians, it shows that proof and other forms of mathematical exploration continue to be living, evolving practices - responsive to new technologies, yet embedded in permanent (and astonishing) facts about human beings. It distinguishes several distinct types of application of mathematics, and shows how each leads to a different philosophical conundrum. Here is a remarkable body of new philosophical thinking about proofs, applications, and other mathematical activities.
Why Life Matters
by Michael Charles Tobias Jane Gray MorrisonDr. Michael Charles Tobias and Jane Gray Morrison are world-renowned ecological philosophers and activists, interdisciplinary social and environmental scientists and broad-ranging, deeply committed humanists. This collection of fifty essays and interviews comprises an invigorating, outspoken, provocative and eloquent overview of the ecological humanities in one highly accessible volume. The components of this collection were published in the authors' "Green Conversations" blog series, and pieces in the Eco News Network from 2011 to 2013 and feature luminaries from Jane Goodall to Ted Turner to the Secretary of the Smithsonian Institution to the former head of the UN Convention on Biological Diversity. Stunning color photographs captured by the authors and contributors make Why Life Matters: Fifty Ecosystems of the Heart and Mind a feast for the eyes as well as the mind and soul. Ethics, science, technology, ecological literacy, grass-roots renaissance thinkers, conservation innovation from the U. S. to the U. K. ; from India to Ecuador; from Bhutan to Haiti; from across Africa, the Neo-Tropics, Central Asia and Japan, to Rio, Shanghai and Manhattan - this humanistic ode to the future of life on earth is a relevant and resonating read. Michael Tobias and Jane Gray Morrison, partners who between them have authored some 50 books and written, directed and produced some 170 films, a prolific body of work that has been read, translated and/or broadcast around the world, have been married for more than a quarter-of-a-century. Their field research across the disciplines of comparative literature, anthropology, the history of science and philosophy, ecology and ethics, in over 80 countries, has served as a telling example of what two people - deeply in love with one another - can accomplish in spreading that same unconditional love to others - of all species.
Why Machines Learn: The Elegant Math Behind Modern AI
by Anil AnanthaswamyA rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligenceMachine learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumour is cancerous, or deciding whether someone gets bail. They now influence developments and discoveries in chemistry, biology, and physics—the study of genomes, extra-solar planets, even the intricacies of quantum systems. And all this before large language models such as ChatGPT came on the scene.We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning, while suggesting intriguing links between artifical and natural intelligence. Might the same math underpin them both?As Ananthaswamy resonantly concludes, to make safe and effective use of artificial intelligence, we need to understand its profound capabilities and limitations, the clues to which lie in the math that makes machine learning possible.
The Why of Things: Causality in Science, Medicine, and Life
by Peter RabinsWhy was there a meltdown at the Fukushima power plant? Why do some people get cancer and not others? Why is global warming happening? Why does one person get depressed in the face of life's vicissitudes while another finds resilience? Questions like these—questions of causality—form the basis of modern scientific inquiry, posing profound intellectual and methodological challenges for researchers in the physical, natural, biomedical, and social sciences. In this groundbreaking book, noted psychiatrist and author Peter Rabins offers a conceptual framework for analyzing daunting questions of causality. Navigating a lively intellectual voyage between the shoals of strict reductionism and relativism, Rabins maps a three-facet model of causality and applies it to a variety of questions in science, medicine, economics, and more. Throughout this book, Rabins situates his argument within relevant scientific contexts, such as quantum mechanics, cybernetics, chaos theory, and epigenetics. A renowned communicator of complex concepts and scientific ideas, Rabins helps readers stretch their minds beyond the realm of popular literary tipping points, blinks, and freakonomic explanations of the world.
Why Pi? (Big Questions)
by Johnny BallThis entertaining follow-up to DK's popular Go Figure!, Why Pi? presents even more mind-bending ways to think about numbers. This time, author Johnny Ball focuses on how people have used numbers to measure things through the ages, from the ways the ancient Egyptians measured the pyramids to how modern scientists measure time and space. Johnny Ball has hosted more than 20 UK children's television series about math and science. He is known for making math not just easy to understand, but genuinely fun and fascinating. His shows and videos earned him a New York international EMMY nomination, a BAFTA, and 10 other awards. He has written five children's books, including DK's Go Figure!, and an educational musical. His academic credentials include three honorary science doctorates and fellowship of the British Mathematical Association.
Why Prove it Again?
by John W. DawsonThis monograph considers several well-known mathematical theorems and asks the question, "Why prove it again?" while examining alternative proofs. It explores the different rationales mathematicians may have for pursuing and presenting new proofs of previously established results, as well as how they judge whether two proofs of a given result are different. While a number of books have examined alternative proofs of individual theorems, this is the first that presents comparative case studies of other methods for a variety of different theorems. The author begins by laying out the criteria for distinguishing among proofs and enumerates reasons why new proofs have, for so long, played a prominent role in mathematical practice. He then outlines various purposes that alternative proofs may serve. Each chapter that follows provides a detailed case study of alternative proofs for particular theorems, including the Pythagorean Theorem, the Fundamental Theorem of Arithmetic, Desargues' Theorem, the Prime Number Theorem, and the proof of the irreducibility of cyclotomic polynomials. Why Prove It Again? will appeal to a broad range of readers, including historians and philosophers of mathematics, students, and practicing mathematicians. Additionally, teachers will find it to be a useful source of alternative methods of presenting material to their students.
Why Race Still Matters
by Alana Lentin'Why are you making this about race?' This question is repeated daily in public and in the media. Calling someone racist in these times of mounting white supremacy seems to be a worse insult than racism itself. In our supposedly post-racial society, surely it’s time to stop talking about race? This powerful refutation is a call to notice not just when and how race still matters but when, how and why it is said not to matter. Race critical scholar Alana Lentin argues that society is in urgent need of developing the skills of racial literacy, by jettisoning the idea that race is something and unveiling what race does as a key technology of modern rule, hidden in plain sight. Weaving together international examples, she eviscerates misconceptions such as reverse racism and the newfound acceptability of 'race realism', bursts the 'I’m not racist, but' justification, complicates the common criticisms of identity politics and warns against using concerns about antisemitism as a proxy for antiracism. Dominant voices in society suggest we are talking too much about race. Lentin shows why we actually need to talk about it more and how in doing so we can act to make it matter less.
Why Stock Markets Crash: Critical Events in Complex Financial Systems
by Didier SornetteThe scientific study of complex systems has transformed a wide range of disciplines in recent years, enabling researchers in both the natural and social sciences to model and predict phenomena as diverse as earthquakes, global warming, demographic patterns, financial crises, and the failure of materials. In this book, Didier Sornette boldly applies his varied experience in these areas to propose a simple, powerful, and general theory of how, why, and when stock markets crash. Most attempts to explain market failures seek to pinpoint triggering mechanisms that occur hours, days, or weeks before the collapse. Sornette proposes a radically different view: the underlying cause can be sought months and even years before the abrupt, catastrophic event in the build-up of cooperative speculation, which often translates into an accelerating rise of the market price, otherwise known as a "bubble." Anchoring his sophisticated, step-by-step analysis in leading-edge physical and statistical modeling techniques, he unearths remarkable insights and some predictions--among them, that the "end of the growth era" will occur around 2050. Sornette probes major historical precedents, from the decades-long "tulip mania" in the Netherlands that wilted suddenly in 1637 to the South Sea Bubble that ended with the first huge market crash in England in 1720, to the Great Crash of October 1929 and Black Monday in 1987, to cite just a few. He concludes that most explanations other than cooperative self-organization fail to account for the subtle bubbles by which the markets lay the groundwork for catastrophe. Any investor or investment professional who seeks a genuine understanding of looming financial disasters should read this book. Physicists, geologists, biologists, economists, and others will welcome Why Stock Markets Crash as a highly original "scientific tale," as Sornette aptly puts it, of the exciting and sometimes fearsome--but no longer quite so unfathomable--world of stock markets.
Why String Theory?
by Joseph ConlonPhysics World's 'Book of the Year' for 2016 An Entertaining and Enlightening Guide to the Who, What, and Why of String Theory, now also available in an updated reflowable electronic format compatible with mobile devices and e-readers. During the last 50 years, numerous physicists have tried to unravel the secrets of string theory. Yet why do these scientists work on a theory lacking experimental confirmation? Why String Theory? provides the answer, offering a highly readable and accessible panorama of the who, what, and why of this large aspect of modern theoretical physics. The author, a theoretical physics professor at the University of Oxford and a leading string theorist, explains what string theory is and where it originated. He describes how string theory fits into physics and why so many physicists and mathematicians find it appealing when working on topics from M-theory to monsters and from cosmology to superconductors.
Why We're Wrong About Nearly Everything: A Theory of Human Misunderstanding
by Bobby DuffyA leading social researcher explains why humans so consistently misunderstand the outside world How often are women harassed? What percentage of the population are immigrants? How bad is unemployment? These questions are important, but most of us get the answers wrong. Research shows that people often wildly misunderstand the state of the world, regardless of age, sex, or education. And though the internet brings us unprecedented access to information, there's little evidence we're any better informed because of it. We may blame cognitive bias or fake news, but neither tells the complete story. In Why We're Wrong About Nearly Everything, Bobby Duffy draws on his research into public perception across more than forty countries, offering a sweeping account of the stubborn problem of human delusion: how society breeds it, why it will never go away, and what our misperceptions say about what we really believe. We won't always know the facts, but they still matter. Why We're Wrong About Nearly Everything is mandatory reading for anyone interested making humankind a little bit smarter.
Why Write in Math Class?
by Linda Dacey Rebeka Eston Salemi Kathleen O'Connell HoppingTo help students communicate their mathematical thinking, many teachers have created classrooms where math talk has become a successful and joyful instructional practice. Building on that success, the ideas in Why Write in Math Class? help students construct, explore, represent, refine, connect, and reflect on mathematical ideas. Writing also provides teachers with a window into each student's thinking and informs instructional decisions.Focusing on five types of writing in math (exploratory, explanatory, argumentative, creative, and reflective), Why Write in Math Class? offers a variety of ways to integrate writing into the math class. The ideas in this book will help you make connections to what you already know about the teaching of writing within literacy instruction and build on what you've learned about the development of classroom communities that support math talk.The authors offer practical advice about how to support writing in math, as well as many specific examples of writing prompts and tasks that require high-cognitive demand. Extensive stories and samples of student work from K-5 classrooms give a vision of how writing in math class can successfully unfold.
Wie berechenbar ist unsere Welt: Herausforderungen Für Mathematik, Informatik Und Philosophie Im Zeitalter Der Digitalisierung (Essentials)
by Klaus MainzerKlaus Mainzer legt in diesem essential dar, dass die Zukunft von KI und Digitalisierung eine nüchterne Analyse erfordert, die Grundlagenforschung mit Anwendung verbindet. Berechenbarkeits- und Beweistheorie können dazu beitragen, Big Data und Machine Learning sicherer zu bewältigen. Dabei zeigt sich, dass die komplexen Herausforderungen der digitalen und analogen Welt in Grundlagenfragen der Mathematik, Informatik und Philosophie tief verwurzelt sind.
Wie der Mensch rechnen lernt(e): Evolutionäre und psychologische Grundlagen der Mathematik
by Frieder HermannWarum kann jeder Mensch aber kein Tier lernen mit exakten Zahlen zu rechnen? Und warum hat sich die mathematische Begabung des Menschen im Verlauf der Evolution überhaupt herausgebildet? In seinem spannend und auch für Nichtexperten leicht lesbaren Überblick skizziert der Mathematiker Frieder Hermann den derzeitigen Stand unseres Wissens über diese Fragen. Er stellt nicht nur mehrere konkurrierende Theorien vor, sondern auch viele faszinierende psychologische Experimente. Das Themenspektrum reicht von Platons Gedankenexperiment über die mathematischen Fähigkeiten eines ungebildeten Sklaven bis hin zu neuesten Erkenntnissen der Autismus-Forschung.
Wie kommt man darauf?: Einführung in das mathematische Aufgabenlösen
by Merlin CarlDas Buch soll Studierende der Mathematik und verwandter Disziplinen in grundlegende Techniken und Prinzipien des selbstst#65533;ndigen mathematischen Aufgabenl#65533;sens einf#65533;hren. Dazu werden zun#65533;chst konkrete Beweisprinzipien wie das Schubfachprinzip, Invarianten, Induktion oder R#65533;ckw#65533;rtsarbeiten anhand von Beispielen und ausf#65533;hrlichen Erl#65533;uterungen eingef#65533;hrt, ehe zu allgemeineren Strategien wie Beobachtung und Mustererkennung, Verallgemeinerung, Spezialisierung und Analogie #65533;bergegangen wird. Bei den L#65533;sungen zu den zahlreichen Beispielaufgaben liegt der Schwerpunkt auf der Erkl#65533;rung, wie man auf die jeweiligen Beweisschritte selbst h#65533;tte kommen k#65533;nnen. Die so erlernten Strategien werden dann in verschiedenen mathematischen Gebieten erprobt, n#65533;mlich der elementaren Zahlentheorie, der Graphentheorie, der endlichen Kombinatorik, der linearen Algebra und der Analysis. Jedes Kapitel schlie#65533;t mit zahlreichen #65533;bungsaufgaben.
Wie macht man Karriere in der Wissenschaft
by Rainer Meckenstock Jan FröslerDieser Karriereratgeber liefert Transparenz im Dschungel des Wissenschaftssystems. Der erfahrene Wissenschaftler Rainer Meckenstock gibt konkrete Tipps für den eigenen Weg – vom Studium über die Doktoranden- und Postdoc-Zeit bis hin zur ersten Professur: Nach welchen Kriterien sollen sich angehende Forscher ihre Arbeitsgruppe aussuchen? Wie bauen sie ein Profil aus wissenschaftlicher und technischer Kompetenz auf? Welche Ziele sollten Jungforscher für die wissenschaftliche Arbeit im Auge behalten? Die Antworten werden mit Zeichnungen von Jan Frösler illustriert. Das Buch regt die Diskussion zwischen Nachwuchskräften und erfahrenen Wissenschaftlern oder Mentoren an und dient als Inspiration für ein Coaching. Es richtet sich an alle Wissenschaftler, um entweder die eigene Karriere oder die Ausbildung des Nachwuchses zu fördern. Ergänzend zeigen sieben Professorinnen und Professoren anhand ihrer Lebensläufe, wie vielfältig die Karrierewege in der Wissenschaft sein können, und geben ihre eigenen Erfolgsratschläge.