About this book
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.
· 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.
- Book Title Writing for Computer Science
- DOI https://doi.org/10.1007/978-1-4471-6639-9
- Copyright Information Springer-Verlag London 2014
- Publisher Name Springer, London
- eBook Packages Computer Science Computer Science (R0)
- Softcover ISBN 978-1-4471-6638-2
- eBook ISBN 978-1-4471-6639-9
- Edition Number 3
- Number of Pages XIII, 284
- Number of Illustrations 28 b/w illustrations, 0 illustrations in colour
Popular Computer Science
Computer Science, general
- Buy this book on publisher's site
“This is a comprehensive guide on research methods and how to produce a scientific publication detailing one’s research in computer science … . a must-read for those doing research in CS and related fields. It will greatly benefit anyone who is involved in any kind of scientific research, as the examples are only from the CS field. Students, researchers, scientists, and other academicians involved in scientific research will improve both their research methods and writing by reading this book.” (Alexis Leon, Computing Reviews, July, 2015)