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Using data, diagrams, maps and visualizations to challenge dominant narratives and support the resilience of marginalized communitiesThis volume collects contemporary artworks and projects that use data, diagrams, maps and visualizations as ways of challenging dominant narratives and supporting the resilience of marginalized communities.The artists and designers featured critique conventionalized and established truths that obscure important histories or perpetuate oppressive regimes; they also contribute to positive social change by engaging communities and providing alternative strategies for storytelling, communication and organizing. Historical and contemporary uses of data and visualization in colonization, surveillance and management are problematized through critical interventions that use performance, embodiment and counternarratives. The publication is the product of an exhibition organized by Onsite Gallery at OCAD University, Toronto, in 2018.Contributors include: Joshua Akers, Burak Arikan, Josh Begley, Joseph Beuys, Alexis Bhagat, Vincent Brown, Bureau d'Études, Teddy Cruz, Department of Unusual Certainties, Peter Hall, Alex Hill, W.E.B. DuBois, Patricio Dávila, Catherine D'Ignazio.

In kurzen Episoden beschreibt Greg Heffley den Alltag aus seinem ersten Jahr in der middle-school. Die urkomische und glaubhafte Jugendsprache ist gespickt mit nicht weniger lustigen Comic-Illustrationen, die den oft trockenen Tenor bestens unterstreichen.Jeff Kinney ist einer der meistverkauften Autoren aller Zeiten; Diary of a Wimpy Kid-Bücher wurden in 78 Ausgaben in 65 Sprachen veröffentlicht und haben sich weltweit mehr als 250 Millionen Mal verkauft. Das 2007 erschienene erste Buch Diary of a Wimpy Kid war sofort ein Bestseller und ist seit seinem Erscheinen und durch die Veröffentlichung des vierzehnten Buches für insgesamt mehr als 728 Wochen auf der Bestsellerliste der New York Times geblieben. Die Reihe ist auch ein fester Bestandteil der Bestsellerlisten von USA Today, Wall Street Journal, Publishers Weekly und IndieBound.Inklusive umfangreicher Annotationen für umgangssprachliche Ausdrücke und Vokabular

Drawn to Life is a two-volume collection of the legendary lectures of long-time Disney animator Walt Stanchfield. For over 20 years, Walt mentored a new generation of animators at the Walt Disney Studios and influenced such talented artists such as Tim Burton, Brad Bird, Glen Keane, and Andreas Deja. His writing and drawings have become must-have lessons for fine artists, film professionals, animators, and students looking for inspiration and essential training in drawing and the art of animation.Written by Walt Stanchfield (1919–2000), who began work for the Walt Disney Studios in the 1950s. His work can be seen in films such as Sleeping Beauty, The Jungle Book, 101 Dalmatians, and Peter Pan.Edited by Disney Legend and Oscar®-nominated producer Don Hahn, whose credits include the classic Beauty and the Beast, The Lion King, and Hunchback of Notre Dame.

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This textbook, which has become the leading source for empirical software engineering research through its earlier editions, provides an in-depth introduction to experimentation in software engineering. The focus is on the steps to go through when conducting experiments. It also introduces a structure for selecting a research design and an introduction to systematic literature reviews, surveys, and case study research. Experiments are valuable tools for all software engineers who evaluate and choose between different solutions, methods, techniques, languages, and tools. The book has three main parts. Part I introduces empirical research through a structure for selecting a research design and explains several essential areas related to empirical research. Moreover, it provides introductions to systematic literature reviews, experiments, surveys, and case studies. Part II devotes one chapter to each of the five experiment steps: scoping, planning, execution, analysis, and result presentation. Part III completes the presentation with two examples. Assignments and statistical material are provided in appendices. The book provides indispensable information regarding empirical studies, particularly for experiments, but also for systematic literature studies, surveys, and case studies. This new edition comprises substantial new material. This includes a chapter on selecting a research design, which helps put experimentation into a broader context of other research approaches. Furthermore, a new chapter on survey research has been added. Novel contributions concerning A/B testing, replications, open science, validity threats, paired comparison design and tools for statistical analysis have been added. Moreover, systematic literature studies, experiments, and case study research descriptions have been consolidated. The book has also been updated based on the evolution of software engineering since the previous edition's publication. The book is intended for students, teachers, researchers, and practitioners who would like to compare different options, for example, feature designs, or different development methods, techniques, languages, or tools. Teachers can use the book for undergraduate or graduate students; the book can be used as a course book on experimentation and empirical studies in general. Researchers will also benefit from the book by learning more about how to conduct empirical studies. Likewise, practitioners may use it as a ¿cookbook¿ when evaluating different solutions, alternatively for evaluating new methods or techniques before implementing them in their organisation.

The last lecture course that Nobel Prize winner Richard P. Feynman gaveto students at Caltech from 1983 to 1986 was not on physics but on computerscience. The first edition of the Feynman Lectures on Computation, publishedin 1996, provided an overview of standard and not-so-standard topics incomputer science given in Feynman’s inimitable style. Although nowover 20 years old, most of the material is still relevant and interesting, andFeynman’s unique philosophy of learning and discovery shines through.For this new edition, Tony Hey has updated the lectures with an invitedchapter from Professor John Preskill on “Quantum Computing 40 YearsLater”. This contribution captures the progress made toward building aquantum computer since Feynman’s original suggestions in 1981. The last25 years have also seen the “Moore’s law” roadmap for the IT industrycoming to an end. To reflect this transition, John Shalf, Senior Scientistat Lawrence Berkeley National Laboratory, has contributed a chapteron “The Future of Computing beyond Moore’s Law”. The final updatefor this edition is an attempt to capture Feynman’s interest in artificialintelligence and artificial neural networks. Eric Mjolsness, now a Professorof Computer Science at the University of California Irvine, was a TeachingAssistant for Feynman’s original lecture course and his research interestsare now the application of artificial intelligence and machine learningfor multi-scale science. He has contributed a chapter called “Feynmanon Artificial Intelligence and Machine Learning” that captures the earlydiscussions with Feynman and also looks toward future developments.This exciting and important work provides key reading for students andscholars in the fields of computer science and computational physics.

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