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The dissertation itself should be structured into 4 to 6 chapters. The following is one commonly-used structure:. Here, you should clearly state the thesis and its importance. This is also where you give definitions of terms and other concepts used elsewhere. There is no need to write 80 pages of background on your topic here.

Instead, you can cover almost everything by saying: The progress of science is that we learn and use the work of others with appropriate credit. Assume you have a technically literate readership familiar with or able to find common references. Do not reference popular literature or WWW sites if you can help it this is a matter of style more than anything else -- you want to reference articles in refereed conferences and journals, if possible, or in other theses.

Also in the introduction, you want to survey any related work that attempted something similar to your own, or that has a significant supporting role in your research.

This should refer only to published references. You cite the work in the references, not the researchers themselves. Your results are to be of lasting value. Thus, the model you develop and write about and indeed, that you defend should be one that has lasting value. It should be generic in nature, and should capture all the details necessary to overlay the model on likely environments.

You should discuss the problems, parameters, requirements, necessary and sufficient conditions, and other factors here. Consider that 20 years ago ca the common platform was a Vax computer running VMS or a PDP running Unix version 6, yet well-crafted theses of the time are still valuable today. Will your dissertation be valuable 20 years from now ca , or have you referred to technologies that will be of only historical interest?

This model is tough to construct, but is really the heart of the scientific part of your work. This is the lasting part of the contribution, and this is what someone might cite 50 years from now when we are all using MS Linux XXXXP on computers embedded in our wrists with subspace network links!

There are basically three proof techniques that I have seen used in a computing dissertation, depending on the thesis topic. The first is analytic, where one takes the model or formulae and shows, using formal manipulations, that the model is sound and complete. A second proof method is stochastic, using some form of statistical methods and measurements to show that something is true in the anticipated cases.

Using the third method, you need to show that your thesis is true by building something according to your model and showing that it behaves as you claim it will. This involves clearly showing how your implementation model matches the conditions of your abstract model, describing all the variables and why you set them as you do, accounting for confounding factors, and showing the results.

You must be careful to not expend too much effort describing how standard protocols and hardware work use citations to the literature, instead. You must clearly express the mapping of model to experiment, and the definition of parameters used and measured.

This may be folded into Chapter III in some theses, or it may be multiple chapters in a thesis with many parts as in a theory-based thesis. This may be where you discuss the effects of technology change on your results. This is also a place where you may wish to point out significant results that you obtained while seeking to prove your central thesis, but which are not themselves supportive of the thesis.

Often, such additional results are published in a separate paper. Conclusions and Future work. This is where you discuss what you found from your work, incidental ideas and results that were not central to your thesis but of value nonetheless, if you did not have them in Chapter V and other results.

This chapter should summarize all the important results of the dissertation note that this is the only chapter many people will ever read, so it should convey all the important results. So, assuming that there is a fat chance for you to write a dissertation on your own, simply opt for the dissertation gurus! Quality dissertation is not a problem anymore.

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The purpose statement of a dissertation proposal explains why a researcher’s study will be conducted and what the study will accomplish. It guides the research, describes the expected outcomes, and explains the means for collecting data. The purpose of the abstract is to give insight into your dissertation topic, the type of information your literature review will cover, your thesis, and whether you’ll be conducting an original experiment or study. Most dissertations include an original experiment or study, the abstract will also need to include a summary of its details.5/5.

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