You should be, too. In my view, your task is to locate the minimum pages or words required. You may have a mentor who will answer a straightforward question. But if not, your first step is to look over as many dissertations as possible that have been passed by the appropriate committees, particularly in the last two years. I found that some writers had pulled off pages or more, but I doubted that many committee members had read all those pages carefully.
A lot of dissertation conventions need to be stripped out for eventual publishing anyway, such as the direct literature search, though that is a separate topic. Though you may work with a thesis or dissertation director who wants you to write far past the minimum length, I have found this attitude to be rare.
Instead, your director and your thesis or dissertation committee will appreciate a well-developed argument, analysis, or experiment that does not wander through thickets of words. Looking over other successful dissertations and theses will help you understand not just length, but quality of content as well. Thesis and dissertation editors work with writers to help them develop and expand ideas, but also to focus and refine them as well, while keeping that minimum page or word goal in sight.
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. Every factual statement you make must have a specific citation tied to it in this chapter, or else it must be common knowledge don't rely on this too much. 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. My boss just did his dissertation for CS, less than 50 pages, no problem.
It's not about pages, it's not grade school, and most of the multiple-hundred page dissertations are full of charts, graphs, images, etc. The bonus is that I've already published a lot of my work, so it's mostly written up already! I'm a comp sci undergrad. What are you doing your research in? I'm curious what is going on in the field at a PhD level. There's a ton going on in computer science right now.
I study artificial intelligence and evolutionary computation. Here's a short-ish research statement by me: Reading about your research is super interesting!
Keep up the good work! I'd like to add that my largest LaTeX file is about 30 pages of abstract algebra notes. It took a really long time to type, and that was pretty much transcribing notes. I can't even imagine what doing pages of math research is like. My dad has a PhD in Physics and did everything on a typewriter.
He also walked to and from university in the snow, up hill both ways. It'd still be pages of published LaTex - though I'd be impressed to see someone write an entire dissertation in one. I need to learn LaTex. I've seen MS Word used, and it freaks me out every time. LaTeX is the most common sane way to do it, and I try to encourage every undergrad I know to get started on it earlier rather than later.
AIAA actually has its own LaTeX template that you have to use when writing any papers you intend to submit to any one of their conferences or publications. I think other disciplinary organizations probably have theirs too. Recently though, Markup Markdown is gaining a lot of traction because there are some document processors out there right now that combine its simplicity with inline LaTeX for mathematics.
YMMV of course, but this is my personal observation at least in my particular subdiscipline of Aerospace Engineering. I've given it a try myself and I have to admit, it's growing on me. I'm particularly partial to Pandoc. Using Word is likely to throw me into fits of rage and result in damaged computers. I dislike MS Word as much as the next sane person and I love LaTeX as much as the next computer scientist , but it sort of make sense for people who already know how to use it to simply use MS Word.
If you don't have big mathematical equations to format, why would you bother with learning LaTeX when you know that the journal editors are going to go through your paper and simply copy paste the content and edit it themselves? What we need to do in my humble opinion is push Markdown as a standard format for "normal text with images" and require it at university. And create good editors for it, with enough features to compete with MS Word.
I thought that markdown was more for web pages, and not for actual papers. I definitely see the appeal of using it for web pages no floating figures, lists are easier, etc, etc , but why should you use it for actual documents? Markdown owes much of its recent resurgence in academia to the development of Pandoc -- a multi-format document converter.
The link explains the great features of this thing, but I'll elaborate a little bit myself on why it's so appealing. For starters, Markdown is readable in plain-text.
This takes the headache out of collaborative publications. Unfortunately there are still a fair number of academics out there who aren't LaTeX-aware, or are outright hostile towards it due to the very verbose syntax.
Markdown circumvents these difficulties. Secondly, BibTeX is getting outdated and cumbersome. It is not used by any of the major bibliography management programs out there, such as Mendeley, Zotero and Papers. I know Papers3 offers an export option to BibTeX but it doesn't produce consistent results. Pandoc, in the meantime, handles CSL format directly.
I also consider Pandoc's citation syntax to be far superior to LaTeX, but that's personal opinion. Third, and perhaps most important, is that Pandoc is capable of handling hybrid syntax within the same document or workflow. I mean two things by that:. It can parse in-line LaTeX within Markdown, which means that you can cherry pick only the specific styling or math tools that you need from LaTeX while preserving Markdown's simplicity everywhere else.
It can parse Markdown files alongside a LaTeX style sheet. And finally, because Pandoc is a local document processor just like LaTeX, the documents themselves can be hosted on code repositories like GitHub or BitBucket for efficient collaboration with robust version tracking, and then converted to identical PDF outputs by individual collaborators.
So in essence, it preserves the collaborative advantage of LaTeX by using the same "code development" paradigms that GUI word processors cannot provide. The end result is indistinguishable, but I find the workflow to be simpler. I realized that I made a mistake earlier to mention Mou when I really should have mentioned Pandoc instead. I like Mou a lot, but I don't use it as a processor.
I use it as an editor with an incomplete quick-preview function. The actual document generation is done via Pandoc, so that's more pertinent to the discussion at hand. Yes, but my understanding is that use of LaTeX in a field is directly correlated by how mathy the field is. It's standard in physics and CS as well, and people in those fields e. Standard in economics and statistics.
I write everything in LaTeX or just plain text files anymore regardless of how much math or code they have. We use it all the time for papers and presentations. It's pretty much the expectation for graduate papers, and lots of profs use it instead of Powerpoint the Beamer package allows creation of presentations.
Everybody in my cohort has moved to google docs or LaTeX. Word is bloated and evil. The philosophy department at my alma mater uses LaTeX for everything. Most of the undergrads use regular word processors, but some of the ones that end up taking intermediate logic also end up using LaTeX for everything. I was the only person in my department that I know of who used LaTeX to write my thesis. Everyone else used the Word template provided by the university. I was also the only person that I know of who didn't have my thesis returned by the graduate school for formatting revisions.
Last semester I TeXed typed pages of stuff for homework. I'm in my first year of grad school for math. Admittedly, there are probably a bunch of half blank pages in there I just had Acrobat combine the pdfs to get the number of pages , but that's still more than pages in one semester.
I'm probably on track to do the same this semester. Of course, this is all homework stuff. How do they make a living while they're in school. If you do "cultural anthro" and hang out with head hunters, you can learn a few tricks There are lots of teaching opportunities for scholars with a Master's degree, which many obtain as a step in their PhD program.
Also, many obtain outside employment, sometimes unrelated to anthropology, and work on their dissertation in their spare time. You're usually spending at least 18 months to 2 years doing your research in the particular culture you're studying. It is relatively easy for that to end up being 8 years in an anthropology Ph.
Average is about 6 some say 7. Immersion takes time to get truly wonderful results and is a minimum two year commitment. If there weren't all the pre reqs in the first years we'd be much happier. Makes sense that the data-heavy majors are on the shorter side of things since they can convey a substantial portion of their premise with formulas and graphs as opposed to lengthy explanations of social phenomena for example.
I, for one, would not have predicted that physics and chemistry would be at opposite ends. I think at least some of this is random cultural drift. Makes sense to me. A physics dissertation would be mostly math, which is really information-dense, while in chemistry you have to include drawings and, depending on the research area, potentially an absolute shit ton of experimental data.
Let's not forget about specificities on writing out certain reactions were done in certain conditions such that it can be perfectly replicated by other chemists You can replicate chemical research from the dissertation alone?
I'm in physics, and there is no way in hell you could do that without all the preliminary information to papers, all lab books and access to the source code repositories The principle at play for most of us in the natural sciences is that any other person with similar training should be able to replicate your experiment. If your experiments are not reproducible, the findings are not real. Graduating philosophy undergrads are beasts at the LSAT, but that's all I got off the top of my head.
I combined mine B. Writing grants in fire prevention, discussing my moral obligation in risk vs reward situations, upholding fire code law , etc. I have a dissertation from a professor named David Enoch, he studied under a super-famous contemporary named Derek Parfit. Enoch's dissertation at NYU is about pgs. Wittgenstein did it in 75 pages. There's a bumper sticker in that somewhere, surely. No one's finished a This is particularly important considering many faculties in the UK and Ireland will specify a word count, particularly in humanities and the social sciences this seems to be typically somewhere between 80k and k.
Sometimes not even your committee I wrote my 40 page senior seminar paper last semester for my history undergrad and it was miserable. The thought that I would need to do 7 times that to be remotely close to average makes me want to vomit.
Junior year I wrote a 35 page paper on food adulteration and the pure food and drug act and if it helped solve the problem. I thought it would be an easy short paper since it was just a 12 page max paper.
In my view, your task is to locate the minimum pages or words required. You may have a mentor who will answer a straightforward question. But if not, your first step is to look over as many dissertations as possible that have been passed by the appropriate committees, particularly in the last two years.
A PhD thesis should have as many pages because of Formatting a thesis which is page long or consists of 40, words needs real hard work. And students, who have completed writing the document, feel weary of correcting the format of the document.
As many PhD candidates are wont to do, Beck took the pressure of readying for his defense and channeled it toward an incredibly interesting (if entirely thesis-unrelated) side project. Apr 15, · The data contained 2, records for students that completed their dissertations since The range was incredibly variable (minimum of 21 pages, maximum of ), but most dissertations were around to pages. Interestingly, a lot of students graduated in August just prior to the fall semester.
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