They loved. They lost. They lived. In the small Yorkshire town of Cottenly - dominated by the steel works and surrounded by beautiful countryside - Isaac Stanford lives with his wife Emily and their three lovely daughters, known locally as the Stanford lasses. Alice, the eldest, lives only for her work as a secretary and chapel on Sunday. Fair and loving Lizzie is content with her job making umbrellas - until she falls in love with George Crossman and all she desires is to be a wife and mother. And headstrong Ruth, the merry one, is intent upon marrying handsome charmer, Walter Wray, despite warnings from friends and family. Already emotionally damaged by a traumatic childhood, Alice struggles to lead a normal life. Poor but happy with her ever increasing family, with the onset of war, Lizzie faces the threat of losing all she holds dear. And Ruth soon realises she has made a terrible mistake in her marriage as she becomes trapped in a life of poverty and violence. As the years pass each sister is forced to confront her greatest challenge ...
#1 NEW YORK TIMES BEST SELLER • At last, a book that shows you how to build—design—a life you can thrive in, at any age or stage • “Life has questions. They have answers.” —The New York Times Designers create worlds and solve problems using design thinking. Look around your office or home—at the tablet or smartphone you may be holding or the chair you are sitting in. Everything in our lives was designed by someone. And every design starts with a problem that a designer or team of designers seeks to solve. In this book, Bill Burnett and Dave Evans show us how design thinking can help us create a life that is both meaningful and fulfilling, regardless of who or where we are, what we do or have done for a living, or how young or old we are. The same design thinking responsible for amazing technology, products, and spaces can be used to design and build your career and your life, a life of fulfillment and joy, constantly creative and productive, one that always holds the possibility of surprise.
WINNER OF THE PORCHLIGHT BUSINESS BOOK AWARD • “A delightful, compelling book that offers a dazzling array of practical, thoughtful exercises designed to spark creativity, help solve problems, foster connection, and make our lives better.”—Gretchen Rubin, New York Times bestselling author and host of the Happier podcast In an era of ambiguous, messy problems—as well as extraordinary opportunities for positive change—it’s vital to have both an inquisitive mind and the ability to act with intention. Creative Acts for Curious People is filled with ways to build those skills with resilience, care, and confidence. At Stanford University’s world-renowned Hasso Plattner Institute of Design, aka “the d.school,” students and faculty, experts and seekers bring together diverse perspectives to tackle ambitious projects; this book contains the experiences designed to help them do it. A provocative and highly visual companion, it’s a definitive resource for people who aim to draw on their curiosity and creativity in the face of uncertainty. Teeming with ideas about discovery, learning, and leading the way through unknown creative territory, Creative Acts for Curious People includes memorable stories and more than eighty innovative exercises. Curated by executive director Sarah Stein Greenberg, after being honed in the classrooms of the d.school, these exercises originated in some of the world’s most inventive and unconventional minds, including those of d.school and IDEO founder David M. Kelley, ReadyMade magazine founder Grace Hawthorne, innovative choreographer Aleta Hayes, Google chief innovation evangelist Frederik G. Pferdt, and many more. To bring fresh approaches to any challenge–world changing or close to home–you can draw on exercises such as Expert Eyes to hone observation skills, How to Talk to Strangers to foster understanding, and Designing Tools for Teams to build creative leadership. The activities are at once lighthearted, surprising, tough, and impactful–and reveal how the hidden dynamics of design can drive more vibrant ways of making, feeling, exploring, experimenting, and collaborating at work and in life. This book will help you develop the behaviors and deepen the mindsets that can turn your curiosity into ideas, and your ideas into action.
Banish math anxiety and give students of all ages a clear roadmap to success Mathematical Mindsets provides practical strategies and activities to help teachers and parents show all children, even those who are convinced that they are bad at math, that they can enjoy and succeed in math. Jo Boaler—Stanford researcher, professor of math education, and expert on math learning—has studied why students don't like math and often fail in math classes. She's followed thousands of students through middle and high schools to study how they learn and to find the most effective ways to unleash the math potential in all students. There is a clear gap between what research has shown to work in teaching math and what happens in schools and at home. This book bridges that gap by turning research findings into practical activities and advice. Boaler translates Carol Dweck's concept of 'mindset' into math teaching and parenting strategies, showing how students can go from self-doubt to strong self-confidence, which is so important to math learning. Boaler reveals the steps that must be taken by schools and parents to improve math education for all. Mathematical Mindsets: Explains how the brain processes mathematics learning Reveals how to turn mistakes and struggles into valuable learning experiences Provides examples of rich mathematical activities to replace rote learning Explains ways to give students a positive math mindset Gives examples of how assessment and grading policies need to change to support real understanding Scores of students hate and fear math, so they end up leaving school without an understanding of basic mathematical concepts. Their evasion and departure hinders math-related pathways and STEM career opportunities. Research has shown very clear methods to change this phenomena, but the information has been confined to research journals—until now. Mathematical Mindsets provides a proven, practical roadmap to mathematics success for any student at any age.
If you need a book that relates the core principles of quantum mechanics to modern applications in engineering, physics, and nanotechnology, this is it. Students will appreciate the book's applied emphasis, which illustrates theoretical concepts with examples of nanostructured materials, optics, and semiconductor devices. The many worked examples and more than 160 homework problems help students to problem solve and to practise applications of theory. Without assuming a prior knowledge of high-level physics or classical mechanics, the text introduces Schrödinger's equation, operators, and approximation methods. Systems, including the hydrogen atom and crystalline materials, are analyzed in detail. More advanced subjects, such as density matrices, quantum optics, and quantum information, are also covered. Practical applications and algorithms for the computational analysis of simple structures make this an ideal introduction to quantum mechanics for students of engineering, physics, nanotechnology, and other disciplines. Additional resources available from www.cambridge.org/9780521897839.
In recent years, deep learning has fundamentally changed the landscapes of a number of areas in artificial intelligence, including speech, vision, natural language, robotics, and game playing. In particular, the striking success of deep learning in a wide variety of natural language processing (NLP) applications has served as a benchmark for the advances in one of the most important tasks in artificial intelligence. This book reviews the state of the art of deep learning research and its successful applications to major NLP tasks, including speech recognition and understanding, dialogue systems, lexical analysis, parsing, knowledge graphs, machine translation, question answering, sentiment analysis, social computing, and natural language generation from images. Outlining and analyzing various research frontiers of NLP in the deep learning era, it features self-contained, comprehensive chapters written by leading researchers in the field. A glossary of technical terms and commonly used acronyms in the intersection of deep learning and NLP is also provided. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers and industrial researchers, as well as anyone interested in deep learning and natural language processing.
What does it mean to be a citizen in the 21st century? Globalization, the dominance of corporations, the influence of technology, massive immigration, and geopolitical shifts have changed our world considerably in just a few decades. How have these changes affected the responsibilities placed on us as citizens and also on governments and leaders around the world? Tackling a number of fascinating issues pertaining to our future, the viewpoints in this resource examine our place in the world today and predict the ways in which citizenship will continue to evolve.
This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work.
STEM Road Map: A Framework for Integrated STEM Education is the first resource to offer an integrated STEM curricula encompassing the entire K-12 spectrum, with complete grade-level learning based on a spiraled approach to building conceptual understanding. A team of over thirty STEM education professionals from across the U.S. collaborated on the important work of mapping out the Common Core standards in mathematics and English/language arts, the Next Generation Science Standards performance expectations, and the Framework for 21st Century Learning into a coordinated, integrated, STEM education curriculum map. The book is structured in three main parts—Conceptualizing STEM, STEM Curriculum Maps, and Building Capacity for STEM—designed to build common understandings of integrated STEM, provide rich curriculum maps for implementing integrated STEM at the classroom level, and supports to enable systemic transformation to an integrated STEM approach. The STEM Road Map places the power into educators’ hands to implement integrated STEM learning within their classrooms without the need for extensive resources, making it a reality for all students.
