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A complete update to a classic, respected resource Invaluable reference, supplying a comprehensive overview on how to undertake and present research
Book Synopsis Writing for Computer Science by : Justin Zobel
Download or read book Writing for Computer Science written by Justin Zobel and published by Taylor & Francis. This book was released on 2004-06-03 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete update to a classic, respected resource Invaluable reference, supplying a comprehensive overview on how to undertake and present research
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.
Book Synopsis Writing for Computer Science by : Justin Zobel
Download or read book Writing for Computer Science written by Justin Zobel and published by Springer. This book was released on 2015-02-09 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Coding Literacy by : Annette Vee
Download or read book Coding Literacy written by Annette Vee and published by MIT Press. This book was released on 2017-07-28 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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.
Book Synopsis Writing for Science by : Robert Goldbort
Download or read book Writing for Science written by Robert Goldbort and published by Yale University Press. This book was released on 2006-01-01 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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
Book Synopsis Writing Research Papers in Computer Science by : Maks Tempe
Download or read book Writing Research Papers in Computer Science written by Maks Tempe and published by . This book was released on 2020-08-30 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
A complete update to a classic, respected resource Invaluable reference, supplying a comprehensive overview on how to undertake and present research
Book Synopsis Writing for Computer Science by : Justin Zobel
Download or read book Writing for Computer Science written by Justin Zobel and published by Turtleback. This book was released on 1997-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete update to a classic, respected resource Invaluable reference, supplying a comprehensive overview on how to undertake and present research
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.
Book Synopsis Writing Scientific Software by : Suely Oliveira
Download or read book Writing Scientific Software written by Suely Oliveira and published by Cambridge University Press. This book was released on 2006-09-07 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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.
Book Synopsis Coding Literacy by : Annette Vee
Download or read book Coding Literacy written by Annette Vee and published by MIT Press. This book was released on 2017-07-28 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Introduction. Historical Overview. Databases: Office Information Systems Engineering (J. Palazzo, D. Alcoba) Artificial Intelligence, Logic, and Functional Programming: A HyperIcon Interface to a Blackboard System for Planning Research Projects (P. Charlton, C. Burdorf). Algorithms and Data Structures: Classification of Quadratic Algorithms for Multiplying Polynomials of Small Degree Over Finite Fields (A. Averbuch et al.). Object Oriented Systems: A Graphical Interactive Object Oriented Development System (M. Adar et al.). Distributed Systems: Preserving Distributed Data Coherence Us.
Book Synopsis Computer Science by : Ricardo Baeza-Yates
Download or read book Computer Science written by Ricardo Baeza-Yates and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction. Historical Overview. Databases: Office Information Systems Engineering (J. Palazzo, D. Alcoba) Artificial Intelligence, Logic, and Functional Programming: A HyperIcon Interface to a Blackboard System for Planning Research Projects (P. Charlton, C. Burdorf). Algorithms and Data Structures: Classification of Quadratic Algorithms for Multiplying Polynomials of Small Degree Over Finite Fields (A. Averbuch et al.). Object Oriented Systems: A Graphical Interactive Object Oriented Development System (M. Adar et al.). Distributed Systems: Preserving Distributed Data Coherence Us.
People draw on many diverse sources of real-world knowledge in order to make up stories, including the following: knowledge of the physical world; rules of social behavior and relationships; techniques for solving everyday problems such as transportation, acquisition of objects, and acquisition of information; knowledge about physical needs such as hunger and thirst; knowledge about stories their organization and contents; knowledge about planning behavior and the relationships between kinds of goals; and knowledge about expressing a story in a natural language. This thesis describes a computer program which uses all information to write stories. The areas of knowledge, called problem domains, are defined by a set of representational primitives, a set of problems expressed in terms of those primitives, and a set of procedures for solving those problems. These may vary from one domain to the next. All this specialized knowledge must be integrated in order to accomplish a task such as storytelling. The program, called TALE-SPIN, produces stories in English, interacting with the user, who specifies characters, personality characteristics, and relationships between characters. Operating in a different mode, the program can make those decisions in order to produce Aesop-like fables. (Author).
Book Synopsis The Metanovel by : James Richard Meehan
Download or read book The Metanovel written by James Richard Meehan and published by . This book was released on 1976 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: People draw on many diverse sources of real-world knowledge in order to make up stories, including the following: knowledge of the physical world; rules of social behavior and relationships; techniques for solving everyday problems such as transportation, acquisition of objects, and acquisition of information; knowledge about physical needs such as hunger and thirst; knowledge about stories their organization and contents; knowledge about planning behavior and the relationships between kinds of goals; and knowledge about expressing a story in a natural language. This thesis describes a computer program which uses all information to write stories. The areas of knowledge, called problem domains, are defined by a set of representational primitives, a set of problems expressed in terms of those primitives, and a set of procedures for solving those problems. These may vary from one domain to the next. All this specialized knowledge must be integrated in order to accomplish a task such as storytelling. The program, called TALE-SPIN, produces stories in English, interacting with the user, who specifies characters, personality characteristics, and relationships between characters. Operating in a different mode, the program can make those decisions in order to produce Aesop-like fables. (Author).
