This treatment of computer science and its applications in the arts focuses on Chinese arts and painting, offering a multi-disciplinary perspective from the angles of computer graphics, interactivity, human-computer interaction, and artificial intelligence.
This book is designed specifically as a guide for Computer Scientists needing an introduction to Cell Biology. The text explores three different facets of biology: biological systems, experimental methods, and language and nomenclature.
This introduction to programming and algorithms requires no prior knowledge of the subject. It covers programming basic tasks using Java as well as focuses on data structures and algorithms. Exercises are included at the end of each chapter.
This book offers readers a succinct and reader-friendly foundation to the most important topics in the field of data compression. Complete and clear, it is the perfect reference for advanced undergraduates in computer science and requires a minimum of mathematics.
This easy-to-follow text provides an accessible introduction to the key topics of formal languages and abstract machines within Computer Science. The author follows the formula of his first book, but makes these core computing topics more fundamental.
This book offers an easily accessible foundation to the topic of software engineering. It focuses on the essential elements, providing the reader with the basic skills and knowledge required to execute a software project successfully.
Covering the theory, technical components and applications of the Semantic Web, this book’s unrivalled coverage includes the latest on W3C standards such as OWL 2, and discusses new projects such as DBpedia. It also shows how to put theory into practice.
In this work, Metzler describes highly effective information retrieval models for both smaller, classical data sets, and larger Web collections. In a shift away from heuristic, hand-tuned ranking functions and complex probabilistic models, he presents feature-based retrieval models. As he shows, combining term dependencies and arbitrary features results in a very robust, powerful retrieval model.
This concise, up-to-date textbook is designed for the standard sophomore course in differential equations. The basic ideas, models, and solution methods are presented in a user friendly format that is accessible to engineers, scientists, economists, and mathematics majors.