This specially commissioned volume presents a unique collection of expository papers on major topics that are representative for computer science today. The 38 contributions, written by internationally leading experts in the computer science area on personal invitation, demonstrate the scope and stature of the field today and give an impression of the chief motivations and challenges for tomorrow's computer science and information technology. This anthology marks a truly extraordinary and festive moment: it is the 1000th volume published in the Lecture Notes in Computer Science series. It addresses all computer scientists and anybody interested in a representative overview of the field.
This book is based on columns and tutorials published in the Bulletin of the European Association for Theoretical Computer Science (EATCS) during the period 2000OCo2003. It presents many of the most active current research lines in theoretical computer science. The material appears in two volumes, OC Algorithms and ComplexityOCO and OC Formal Models and SemanticsOCO, reflecting the traditional division of the field. The list of contributors includes many of the well-known researchers in theoretical computer science. Most of the articles are reader-friendly and do not presuppose much knowledge of the area in question. Therefore, the book constitutes very suitable supplementary reading material for various courses and seminars in computer science. Contents: Vol 1: Algorithms; Computational Complexity; Distributed Computing; Natural Computing; Vol 2: Formal Specification; Logic in Computer Science; Concurrency; Formal Language Theory. Readership: Upper level undergraduates, graduate students and researchers in theoretical computer science and biocomputing."
The scientific developments at the end of the past millennium were dominated by the huge increase and diversity of disciplines with the common label “computer science”. The theoretical foundations of such disciplines have become known as theoretical computer science. This book highlights some key issues of theoretical computer science as they seem to us now, at the beginning of the new millennium. The text is based on columns and tutorials published in the Bulletin of the European Association for Theoretical Computer Science in the period 1995–2000. The columnists themselves selected the material they wanted for the book, and the editors had a chance to update their work. Indeed, much of the material presented here appears in a form quite different from the original. Since the presentation of most of the articles is reader-friendly and does not presuppose much knowledge of the area, the book constitutes suitable supplementary reading material for various courses in computer science. Contents: Computational Complexity (E Allender et al.)Formal Specification (H Ehrig et al.)Login in Computer Science (Y Gurevich et al.)Concurrency (M Nielsen et al.)Natural Computing (G Rozenberg et al.)Formal Language Theory (A Salomaa et al.) Readership: Researchers, graduate students and senior undergraduates in computer science. Keywords:Computational Complexity;Intractable Problems;Formal Specification;Logic in Computer Science;Proof Theory;Natural Computing;DNA Computing;Quantum Computing;Formal Languages;Automata;Theoretical Computer Science;Algebra;Automata Theory;Complexity;Concurrency;Formal Language Theory;Graph Grammar;Logic;Membrane Computing;Semantics;Software
Computation Concepts, Programming Paradigms, Data Management, and Modern Component Architectures with Swift and Playgrounds
Author: Jesse Feiler
Master the basics of solving logic puzzles, and creating algorithms using Swift on Apple platforms. This book is based on the curriculum currently being used in common computer classes. You’ll learn to automate algorithmic processes that scale using Swift in the context of iOS, macOS, tvOS, and watchOS. Begin by understanding how to think computationally: to formulate a computational problem and recognize patterns and ways to validate it. Then jump ahead past the abstractions and conceptual work into using code snippets to build frameworks and write code using Xcode and Swift. Once you have frameworks in place, you’ll learn to use algorithms and structure data. Finally, you’ll see how to bring people into what you’ve built through a useable UI and how UI and code relate. What You'll Learn Recognize patterns and use abstractions Build code into reusable frameworks Manage code and share version control Solve logic puzzles Who This Book Is For Young professionals interested in learning computer science from an Apple platform standpoint.
Reflections on the Field, Reflections from the Field
Author: National Research Council
Publisher: National Academies Press
Computer Science: Reflections on the Field, Reflections from the Field provides a concise characterization of key ideas that lie at the core of computer science (CS) research. The book offers a description of CS research recognizing the richness and diversity of the field. It brings together two dozen essays on diverse aspects of CS research, their motivation and results. By describing in accessible form computer scienceâ€™s intellectual character, and by conveying a sense of its vibrancy through a set of examples, the book aims to prepare readers for what the future might hold and help to inspire CS researchers in its creation.
This book illustrates a pathway for knowledge production to benefit from interweaving the seemingly disparate historical experiences of Indigenous Peoples and computer science education. The resulting practice of ancestral computing for sustainability holds the power to mitigate the destructive forces of the field, while extending the potential of traditionally underserved and unheard populations. Reimagining the field of computer science, interwoven with traditional lifeways, presents compelling new discoveries in research and harnesses the rich tapestries that are Indigenous populations. Returning healthy lifeways to a center stage long-occupied by tightly controlled, Eurocentric learning methods opens worlds of opportunity that have felt lost to time.
United States. Congress. House. Committee on Science