This concise guide emphasizes clear and logical structure as the key to a well-written thesis. The book uses a direct and conversational tone while offering concrete examples of common structural problems and the numerous devices, tricks, and tests for avoiding them. It proves that the astute researcher must no longer regard writing as the last chore but rather as a crucial part of the research process. This updated edition demonstrates how computer software can be advantageous and includes a checklist to keep students organized.

How to Write a Better Thesis

Reference

Zobel, Justin

Gruba, Paul

Evans,David

Words, Language & Grammar

Melbourne University Publishing

Senior university and college students often find themselves presented with a dramatic new challenge: the task of writing their first thesis. What is expected? What should the thesis consist of? How can the whole process be made a bit easier? How to achieve the best possible result? Working within strict time limits, and under pressure right from the start, what does the student need to do to ensure that the thesis is finished? In How to Write a Better Minor Thesis, experienced advisors Dr Paul Gruba and Professor Justin Zobel lay out step-by-step guidelines for writing a minor thesis. Based on decades of working with students undertaking their first piece of research, they take novice researchers through the process of completing a minor thesis from initial steps to final on-time submission. Written in a friendly manner, this concise book—a companion to their senior text on the challenges of research writing, How To Write A Better Thesis—will help you to successfully tackle this fresh challenge. How to Write a Better Minor Thesis contains sections of condensed material from How To Write A Better Thesis, complementing the entirely new material written for minor thesis students.

How to Write a Better Minor Thesis

Document Computing: Technologies for Managing Electronic Document Collections (The Information Retrieval Series, 5)

Document Computing: Technologies for Managing Electronic Document Collections discusses the important aspects of document computing and recommends technologies and techniques for document management, with an emphasis on the processes that are appropriate when computers are used to create, access, and publish documents. This book includes descriptions of the nature of documents, their components and structure, and how they can be represented; examines how documents are used and controlled; explores the issues and factors affecting design and implementation of a document management strategy; and gives a detailed case study. The analysis and recommendations are grounded in the findings of the latest research.  Document Computing: Technologies for Managing Electronic Document Collections brings together concepts, research, and practice from diverse areas including document computing, information retrieval, librarianship, records management, and business process re-engineering. It will be of value to anyone working in these areas, whether as a researcher, a developer, or a user.  Document Computing: Technologies for Managing Electronic Document Collections can be used for graduate classes in document computing and related fields, by developers and integrators of document management systems and document management applications, and by anyone wishing to understand the processes of document management.

Fuller, Michael

Wilkinson, Ross

Arnold-Moore, Timothy

Sacks-Davis, Ron

Thom, James

Springer

Recent years have seen an explosive growth in the use of new database applications such as CAD/CAM systems, spatial information systems, and multimedia information systems. The needs of these applications are far more complex than traditional business applications. They call for support of objects with complex data types, such as images and spatial objects, and for support of objects with wildly varying numbers of index terms, such as documents. Traditional indexing techniques such as the B-tree and its variants do not efficiently support these applications, and so new indexing mechanisms have been developed. As a result of the demand for database support for new applications, there has been a proliferation of new indexing techniques. The need for a book addressing indexing problems in advanced applications is evident. For practitioners and database and application developers, this book explains best practice, guiding the selection of appropriate indexes for each application. For researchers, this book provides a foundation for the development of new and more robust indexes. For newcomers, this book is an overview of the wide range of advanced indexing techniques. Indexing Techniques for Advanced Database Systems is suitable as a secondary text for a graduate level course on indexing techniques, and as a reference for researchers and practitioners in industry.

Indexing Techniques for Advanced Database Systems (Advances in Database Systems, 8)

Ooi, Beng Chin

Bertino, Elisa

Tan, Kian-Lee

Shidlovsky, Boris

Andronico, Daniele

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.

Writing for Computer Science

Computers & Technology

Computer Science

Recent years have seen an explosive growth in the use of new database applications such as CAD/CAM systems, spatial information systems, and multimedia information systems. The needs of these applications are far more complex than traditional business applications. They call for support of objects with complex data types, such as images and spatial objects, and for support of objects with wildly varying numbers of index terms, such as documents. Traditional indexing techniques such as the B-tree and its variants do not efficiently support these applications, and so new indexing mechanisms have been developed. As a result of the demand for database support for new applications, there has been a proliferation of new indexing techniques.  The need for a book addressing indexing problems in advanced applications is evident. For practitioners and database and application developers, this book explains best practice, guiding the selection of appropriate indexes for each application. For researchers, this book provides a foundation for the development of new and more robust indexes. For newcomers, this book is an overview of the wide range of advanced indexing techniques.  Indexing Techniques for Advanced Database Systems is suitable as a secondary text for a graduate level course on indexing techniques, and as a reference for researchers and practitioners in industry.

Indexing Techniques for Advanced Database Systems (Advances in Database Systems)

This book offers a step-by-step guide on the mechanics of thesis writing. It helps readers to understand how to conceptualize and approach the problems of producing a thesis and illustrates the complete process with concrete examples.

Many courses and degrees require that students write a short thesis. This book guides students through their first experience of producing a thesis and undertaking original research. Written by experienced researchers and advisors, the book sets out signposts and tasks to help students to understand what is needed to succeed, including scoping a topic, managing references, interpreting data, and successful completion.
For students, the task of writing a thesis is a transition from structured coursework to becoming a researcher. The book provides advice on:
<ul>
<li>What to expect from research and how to work with a supervisor</li>
<li>Getting organized and approaching the work in a productive way 
</li>
<li>Developing an overall thesis structure and avoidance of mistakes such as inadvertent plagiarism 
</li>
<li>Producing each major component: a strong introduction, background chapters that are situated in the discipline, and an explanation of methods and results that are crucial to successful original research 
</li>
<li>How to wrap up a complex project with an extended checklist of the many details needed to be checked before a final submission</li>
</ul>Producing and managing a thesis for the first time can be a daunting task, and this reader-friendly guidebook provides a framework for students to do their best.

How To Write Your First Thesis

Science & Math

Scientific papers are an important tool for communicating ideas, of copying thoughts between minds. Public mistakes not only make a scientist look foolish, but they can hurt a career as well. As such, publications should be as free as possible from distortion; this generally means writing with clarity and simplicity, and constructing the thoughts into a clear presentation to omit ambiguity and frustration of reading. Writing for Computer Science is an introduction to the style and presentation of scientific reports with computing or mathematical content. Aimed at students and researchers, this book deals in a concise way with topics such as article design, writing style, illustrations, algorithms, as well as the scientific process itself. With a focus on writing for the mathematical sciences, it: . shows how to design an article; gives practical guidelines for writing style; explains punctuation in a no nonsense way; gives tips for the presentation of mathematics; presents best practice for graphs, figures, and tables; guides on the presentation of algorithms, hypotheses, and experiments; explains about editing and refereeing. Seminar presentation, a section on spelling conventions, and a detailed bibliography complete this handy guide to style and presentation.

See the best price to sell, buy, or rent books by Zobel, Justin. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Zobel, Justin

See the best price to sell, buy, or rent books by Zobel, Justin. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

How to Write a Better Thesis

How to Write a Better Minor Thesis

Document Computing: Technologies for Managing Electronic Document Collections (The Information Retrieval Series, 5)

Indexing Techniques for Advanced Database Systems (Advances in Database Systems, 8)

Writing for Computer Science

Document Computing: Technologies for Managing Electronic Document Collections (The Information Retrieval Series, 5)

Indexing Techniques for Advanced Database Systems (Advances in Database Systems)

How to Write a Better Thesis

How To Write Your First Thesis

Writing for Computer Science