Colorful picture books ideal for imaginative story-tellingEach book tells a tale of a cuddly character living in a vividly colorful world. With simple text and illustrations by animator Alan Rogers, children will enjoy recognizing colors and shapes -- look out for the noisy ending!
This second volume of a collection of papers offers new perspectives and challenges in the study of logic. It is presented in honor of the fiftieth birthday of Jean-Yves Béziau. The papers touch upon a wide range of topics including paraconsistent logic, quantum logic, geometry of oppositions, categorical logic, computational logic, fundamental logic notions (identity, rule, quantification) and history of logic (Leibniz, Peirce, Hilbert). The volume gathers personal recollections about Jean-Yves Béziau and an autobiography, followed by 25 papers written by internationally distinguished logicians, mathematicians, computer scientists, linguists and philosophers, including Irving Anellis, Dov Gabbay, Ivor Grattan-Guinness, Istvan Németi, Henri Prade. These essays will be of interest to all students and researchers interested in the nature and future of logic.
A penguin, a hot fudge sundae, a scooter, a garden gnome. . . Whether you’ve never drawn more than a stick figure or you haven’t sketched in years, this collection of 50 everyday and quirky subjects will get your creative juices flowing. It’s packed with step-by-step instructions, helpful tips, and basic techniques to inspire all skill levels. With pages for sketching included, all you need is this book and a pencil to unleash the artist in you!
Six years after Charles Darwin announced his theory of evolution to the world, Gregor Mendel began studying the inheritance of traits in pea plants. Mendel's research led to his discovery of dominant and recessive traits and other facts of evolution, which he reported in his groundbreaking 1865 paper, Experiments in Plant Hybridization. His findings languished until 1902, when William Bateson revived interest in the subject with this book, a succinct account of Mendel's heredity-related discoveries. Bateson coined the term "genetics" to refer to heredity and inherited traits, and his rediscovery of Mendel's work forms the foundation of today's field of genetics. Suitable for biology and general science students at the undergraduate and graduate levels, this volume is essential reading for anyone with an interest in science and genetics. In addition to Bateson's commentary, it features two of Mendel's papers—including the original Experiments—plus a biography of Mendel, a detailed bibliography, and indexes of subjects and authors. Numerous figures complement the text, along with eight pages of color illustrations.
Discovering Computer Science: Interdisciplinary Problems, Principles, and Python Programming introduces computational problem solving as a vehicle of discovery in a wide variety of disciplines. With a principles-oriented introduction to computational thinking, the text provides a broader and deeper introduction to computer science than typical introductory programming books. Organized around interdisciplinary problem domains, rather than programming language features, each chapter guides students through increasingly sophisticated algorithmic and programming techniques. The author uses a spiral approach to introduce Python language features in increasingly complex contexts as the book progresses. The text places programming in the context of fundamental computer science principles, such as abstraction, efficiency, and algorithmic techniques, and offers overviews of fundamental topics that are traditionally put off until later courses. The book includes thirty well-developed independent projects that encourage students to explore questions across disciplinary boundaries. Each is motivated by a problem that students can investigate by developing algorithms and implementing them as Python programs. The book's accompanying website — http://discoverCS.denison.edu — includes sample code and data files, pointers for further exploration, errata, and links to Python language references. Containing over 600 homework exercises and over 300 integrated reflection questions, this textbook is appropriate for a first computer science course for computer science majors, an introductory scientific computing course or, at a slower pace, any introductory computer science course.