Authors:
- Concise guide to designing an article with practical guidelines for writing style
- Tips for the presentation of mathematics and best practice for graphs, figures, and tables
- Includes guides for the presentation of algorithms, hypotheses, experiments and web presentation material
- Invaluable reference, supplying a comprehensive overview on how to undertake and present research
- Includes supplementary material: sn.pub/extras
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Table of contents (14 chapters)
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Front Matter
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Back Matter
About this book
Reviews
From the reviews of the second edition:
"Zobel emphasizes that clarity … . my review would read as follows: buy this book. … The contents of the book are valuable, both as a reference … . has tailored his book quite specifically to computer science researchers. He presents valuable examples drawn from computer science papers … . This book is best suited to individual use. However, it could also serve as a supplementary text for a course on research methods. …" (Max Hailperin, Computing Reviews, February, 2005)
"I decided to recommend Zobel’s work to my advanced students and Ph.D. candidates. … An extra goody are the twenty exercises. They constitute a good start into raising many of the issues treated in the book. Many chapters give check-lists or lists of good practice. … His own way of writing demonstrates that there are helpful rules no writer should disobey. … Good writing, even in computing science, remains a process of experience and dialectics. Zobel’s book proves the point." (Frieder Nake, Zentralblatt MATH, Vol. 1106 (8), 2007)
Authors and Affiliations
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School of Computer Science and Information Technology, RMIT University, Melbourne, Australia
Justin Zobel
Bibliographic Information
Book Title: Writing for Computer Science
Authors: Justin Zobel
DOI: https://doi.org/10.1007/978-0-85729-422-7
Publisher: Springer London
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag London 2004
Edition Number: 2
Number of Pages: XII, 270
Topics: Language Education, Applied Linguistics, Computer Science, general, Mathematics of Computing, Natural Language Processing (NLP), Computers and Education