Writing For Computer Science Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Writing For Computer Science book. This book definitely worth reading, it is an incredibly well-written.
All researchers need to write or speak about their work, and to have research that is worth presenting. Based on the author's decades of experience as a researcher and advisor, this third edition provides detailed guidance on writing and presentations and a comprehensive introduction to research methods, the how-to of being a successful scientist. Topics include: · Development of ideas into research questions; · How to find, read, evaluate and referee other research; · Design and evaluation of experiments and appropriate use of statistics; · Ethics, the principles of science and examples of science gone wrong. Much of the book is a step-by-step guide to effective communication, with advice on: · Writing style and editing; · Figures, graphs and tables; · Mathematics and algorithms; · Literature reviews and referees’ reports; · Structuring of arguments and results into papers and theses; · Writing of other professional documents; · Presentation of talks and posters. Written in an accessible style and including handy checklists and exercises, Writing for Computer Science is not only an introduction to the doing and describing of research, but is a valuable reference for working scientists in the computing and mathematical sciences.
How the theoretical tools of literacy help us understand programming in its historical, social and conceptual contexts. The message from educators, the tech community, and even politicians is clear: everyone should learn to code. To emphasize the universality and importance of computer programming, promoters of coding for everyone often invoke the concept of “literacy,” drawing parallels between reading and writing code and reading and writing text. In this book, Annette Vee examines the coding-as-literacy analogy and argues that it can be an apt rhetorical frame. The theoretical tools of literacy help us understand programming beyond a technical level, and in its historical, social, and conceptual contexts. Viewing programming from the perspective of literacy and literacy from the perspective of programming, she argues, shifts our understandings of both. Computer programming becomes part of an array of communication skills important in everyday life, and literacy, augmented by programming, becomes more capacious. Vee examines the ways that programming is linked with literacy in coding literacy campaigns, considering the ideologies that accompany this coupling, and she looks at how both writing and programming encode and distribute information. She explores historical parallels between writing and programming, using the evolution of mass textual literacy to shed light on the trajectory of code from military and government infrastructure to large-scale businesses to personal use. Writing and coding were institutionalized, domesticated, and then established as a basis for literacy. Just as societies demonstrated a “literate mentality” regardless of the literate status of individuals, Vee argues, a “computational mentality” is now emerging even though coding is still a specialized skill.
National Research Council,Division on Engineering and Physical Sciences,Computer Science and Telecommunications Board,Committee on the Fundamentals of Computer Science: Challenges and Opportunities
Author : National Research Council,Division on Engineering and Physical Sciences,Computer Science and Telecommunications Board,Committee on the Fundamentals of Computer Science: Challenges and Opportunities Publisher : National Academies Press Page : 216 pages File Size : 44,5 Mb Release : 2004-10-06 Category : Computers ISBN : 9780309165631
Computer Science by National Research Council,Division on Engineering and Physical Sciences,Computer Science and Telecommunications Board,Committee on the Fundamentals of Computer Science: Challenges and Opportunities Pdf
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 science'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.
Author : Donald E. Knuth,Tracy Larrabee,Paul M. Roberts Publisher : Cambridge University Press Page : 132 pages File Size : 51,8 Mb Release : 1989 Category : Language Arts & Disciplines ISBN : 088385063X
Computer Science Distilled by Wladston Ferreira Filho Pdf
A walkthrough of computer science concepts you must know. Designed for readers who don't care for academic formalities, it's a fast and easy computer science guide. It teaches the foundations you need to program computers effectively. After a simple introduction to discrete math, it presents common algorithms and data structures. It also outlines the principles that make computers and programming languages work.
The Best Software Writing I by Avram Joel Spolsky Pdf
* Will appeal to the same (large) audience as Joel on Software * Contains exclusive commentary by Joel * Lots of free publicity both because of Joel’s influence in the community and the influence of the contributors
Writing Computer Code by Chris Minnick,Eva Holland Pdf
A technology book for kids! Learning how to code can be like learning a foreign language.This book serves as an excellent guide to help you start writing in the odd-looking languages that make the web work. Follow simple steps as you work with real code to build your own web robots. Create your robot—write code that builds your robot's body and structure Give your bot some style—add code lines that customize your robot's color and shape Get your robot moving—finish off your robot with code that teaches it how to dance Technology Requirements: Hardware – PC or tablet with Internet connection running Windows 7 or higher or Mac with Internet connection running Mac OS X 10.7 or higher Software – Web browser to access JSFiddle.net: Google ChromeTM, Mozilla Firefox, Apple Safari, Microsoft Edge, or Microsoft Internet Explorer version 9.0 or higher
Writing Scientific Software by Suely Oliveira,David E. Stewart Pdf
The core of scientific computing is designing, writing, testing, debugging and modifying numerical software for application to a vast range of areas: from graphics, meteorology and chemistry to engineering, biology and finance. Scientists, engineers and computer scientists need to write good code, for speed, clarity, flexibility and ease of re-use. Oliveira and Stewart's style guide for numerical software points out good practices to follow, and pitfalls to avoid. By following their advice, readers will learn how to write efficient software, and how to test it for bugs, accuracy and performance. Techniques are explained with a variety of programming languages, and illustrated with two extensive design examples, one in Fortran 90 and one in C++: other examples in C, C++, Fortran 90 and Java are scattered throughout the book. This manual of scientific computing style will be an essential addition to the bookshelf and lab of everyone who writes numerical software.
“If you’ve got a good idea, and you know it’s going to work, go ahead and do it.” The inspiring story of Grace Hopper—the boundary-breaking woman who revolutionized computer science—is told told in an engaging picture book biography. Who was Grace Hopper? A software tester, workplace jester, cherished mentor, ace inventor, avid reader, naval leader—AND rule breaker, chance taker, and troublemaker. Acclaimed picture book author Laurie Wallmark (Ada Byron Lovelace and the Thinking Machine) once again tells the riveting story of a trailblazing woman. Grace Hopper coined the term “computer bug” and taught computers to “speak English.” Throughout her life, Hopper succeeded in doing what no one had ever done before. Delighting in difficult ideas and in defying expectations, the insatiably curious Hopper truly was “Amazing Grace” . . . and a role model for science- and math-minded girls and boys. With a wealth of witty quotes, and richly detailed illustrations, this book brings Hopper's incredible accomplishments to life.
Research and Technical Writing for Science and Engineering by Meikang Qiu,Han Qiu,Yi Zeng Pdf
Engineering and science research can be difficult for beginners because scientific research is fraught with constraints and disciplines. Research and Technical Writing for Science and Engineering breakdowns the entire process of conducting engineering and scientific research. This book covers those fascinating guidelines and topics on conducting research, as well as how to better interact with your advisor. Key Features: advice on conducting a literature review, conducting experiments, and writing a good paper summarizing your findings. provides a tutorial on how to increase the impact of research and how to manage research resources. By reflecting on the cases discussed in this book, readers will be able to identify specific situations or dilemmas in their own lives, as the authors provide comprehensive suggestions based on their own experiences.
HT THINK LIKE A COMPUTER SCIEN by Jeffrey Elkner,Allen B. Downey,Chris Meyers Pdf
The goal of this book is to teach you to think like a computer scientist. This way of thinking combines some of the best features of mathematics, engineering, and natural science. Like mathematicians, computer scientists use formal languages to denote ideas (specifically computations). Like engineers, they design things, assembling components into systems and evaluating tradeoffs among alternatives. Like scientists, they observe the behavior of complex systems, form hypotheses, and test predictions. The single most important skill for a computer scientist is problem solving. Problem solving means the ability to formulate problems, think creatively about solutions, and express a solution clearly and accurately. As it turns out, the process of learning to program is an excellent opportunity to practice problem-solving skills. That's why this chapter is called, The way of the program. On one level, you will be learning to program, a useful skill by itself. On another level, you will use programming as a means to an end. As we go along, that end will become clearer.
The identity of computing has been fiercely debated throughout its short history. Why is it still so hard to define computing as an academic discipline? Is computing a scientific, mathematical, or engineering discipline? By describing the mathematical, engineering, and scientific traditions of computing, The Science of Computing: Shaping a Discipline presents a rich picture of computing from the viewpoints of the field’s champions. The book helps readers understand the debates about computing as a discipline. It explains the context of computing’s central debates and portrays a broad perspective of the discipline. The book first looks at computing as a formal, theoretical discipline that is in many ways similar to mathematics, yet different in crucial ways. It traces a number of discussions about the theoretical nature of computing from the field’s intellectual origins in mathematical logic to modern views of the role of theory in computing. The book then explores the debates about computing as an engineering discipline, from the central technical innovations to the birth of the modern technical paradigm of computing to computing’s arrival as a new technical profession to software engineering gradually becoming an academic discipline. It presents arguments for and against the view of computing as engineering within the context of software production and analyzes the clash between the theoretical and practical mindsets. The book concludes with the view of computing as a science in its own right—not just as a tool for other sciences. It covers the early identity debates of computing, various views of computing as a science, and some famous characterizations of the discipline. It also addresses the experimental computer science debate, the view of computing as a natural science, and the algorithmization of sciences.
Story Machines: How Computers Have Become Creative Writers by Mike Sharples,Rafael Pérez y Pérez Pdf
This fascinating book explores machines as authors of fiction, past, present, and future. For centuries, writers have dreamed of mechanical storytellers. We can now build these devices. What will be the impact on society of AI programs that generate original stories to entertain and persuade? What can we learn about human creativity from probing how they work? In Story Machines, two pioneers of creative artificial intelligence explore the design and impact of AI story generators. The book covers three themes: language generators that compose coherent text, storyworlds with believable characters, and AI models of human storytellers. Providing examples of story machines through the ages, it covers the history, recent developments, and future implications of automated story generation. Anyone with an interest in story writing will gain a new perspective on what it means to be a creative writer, what parts of creativity can be mechanized, and what is essentially human. Story Machines is for those who have ever wondered what makes a good story, why stories are important to us, and what the future holds for storytelling.
Practical Programming by Paul Gries,Jennifer Campbell,Jason Montojo Pdf
Classroom-tested by tens of thousands of students, this new edition of the bestselling intro to programming book is for anyone who wants to understand computer science. Learn about design, algorithms, testing, and debugging. Discover the fundamentals of programming with Python 3.6--a language that's used in millions of devices. Write programs to solve real-world problems, and come away with everything you need to produce quality code. This edition has been updated to use the new language features in Python 3.6.