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.
This book encompasses the entire range of writing skills that today's experimental scientist may need to employ. Chapters cover routine forms, such as laboratory notes, abstracts, and memoranda; dissertations; journal articles; and grant proposals. Robert Goldbort discusses how best to approach various writing tasks as well as how to deal with the everyday complexities that may get in the way of ideal practice--difficult collaborators, experiments gone wrong, funding rejections. He underscores the importance of an ethical approach to science and scientific communication and insists on the necessity of full disclosure.
This book takes an integrated approach, using the principles of story structure to discuss every aspect of successful science writing, from the overall structure of a paper or proposal to individual sections, paragraphs, sentences, and words. It begins by building core arguments, analyzing why some stories are engaging and memorable while others are quickly forgotten, and proceeds to the elements of story structure, showing how the structures scientists and researchers use in papers and proposals fit into classical models. The book targets the internal structure of a paper, explaining how to write clear and professional sections, paragraphs, and sentences in a way that is clear and compelling.
How to write a research paper in computer science? This book supports in conducting research and writing papers in the field of computer science. The acceptance of your paper for publication is the ultimate goal of this book. How to start research in computer science? Posing the right problem is merely the initial step of any research. This book does not leave you after that, it assists you all along the way from stating the problem to inventing its effective solution. Furthermore, it explains what properties the targeted solution should have. This way, the book supports you in developing the contribution of your paper. How to publish a research paper in computer science? Moreover, the book clarifies how to present that contribution to make it well-received by peer reviewers. It goes through all the parts of a research paper, instructing on how to write them properly. You are supported in crafting a title, writing an abstract, and developing all the other sections of your paper, all of which while providing examples. You can exploit them while turning your research into a published, highly cited paper. The book also presents and explains the most frequent flaws occurring in papers submitted to computer science journals and conferences. Thus, after reading this material, you will know upfront the traps you might fall in. By taking them into account, you will substantially reduce objections that might be raised by the reviewers of your paper. In its final part, the book presents the submission process, explaining how to write a cover letter, complain about belated reviewing processes, or respond to the reviewers' comments. The book is recommended for people at different stages of their scientific career: for those who just started looking for their research field, for Ph.D. candidates, but also for the advanced scientists willing to improve the quality of their manuscripts. Independent of whether you have just started up research in computer science or you are revising your paper after receiving reviewers' comments, this book is just for you. The book is written by an experienced, currently active computer scientist, reviewer, editorial board member, and associate editor of renowned computer science journals. This assures that you'll get credible advice from this book. This book is not a read-once material as it contains comprehensive information which is intended to be used for years, at any stage of elaborating or revising scientific manuscripts. You can treat the effort put into reading and analyzing this book as a long-term investment in your scientific career. Each time you buy a new book, you take a risk because you don't know the content of the book. You don't know whether it will satisfy your needs. I would like to tell you one thing: I wish I had such a book many years ago. It would have saved me a lot of time, work, and frustration. Get up to writing your research papers. Get your papers accepted for publication. This book will support you in this endeavor. Maks Tempe
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.
Academic English for Computer Science aims to provide a tool for the effective study of computational science and technology. It addresses international students who use English as a second language. It can be used as a foundation course in undergraduate programs of computer science, computer engineering, and information technology. The material of this course draws content from core areas of computer science, aspiring to create an initial induction in the field. Furthermore, the academic skills incorporated in each content unit will enhance the students' ability to: - Read and interpret a wide variety of texts and genres relevant to computing. - Acquire a solid base of domain-specific terminology. - Practice various note-taking methods, to improve their overall academic experience and personal growth process. - Write argumentation essays to illustrate similar and opposing views. - Cite known researchers and acknowledge contributions from peers in the field. - Communicate with other practitioners in a way that shows respect for diverse perspectives. - Deliver their own message in a genuine and powerful way.
"Computer Science Illuminated is designed for the introductory, breadth-first course, providing students with an overall introduction to the field of computing. It is also appropriate for AP Computer Science Principles course. The authors provide a unique and innovative layered approach, moving through the levels from an organized, language-neutral perspective"--