CSCE 496/896 Project Rules
You may also want to look at a
Generic Proposal/Paper Outline by
Steve Goddard and Doug Niehaus,
Resources for Technical Writing by
for Articles by Henning
Schulzrinne. To conform to IEEE style for journals, see the page of style
files for LaTeX and MS-Word.
- Projects are due by 5:00 pm on Monday, December 13 (i.e. Monday of finals
- Turn in a project writeup of approximately 5-10 pages.
- Your writeup should include the following sections (some may be
very short or nonexistent, depending on the scope of your project).
- Problem definition
- Related work
- Your approach(es)
- Experimental results
- Conclusions and ideas for future work
- If your project is an implementation, you need something for each
of the above items. For those doing an overview, the "Your approach(es)"
section will be replaced by an expanded "Related work" section, where you go
into more detail on some of the approaches you are reviewing. Also, your
"Experimental results" section will summarize the experimental results of some
of the papers you review.
- A note on "Related work": Your project must include a
bibliography of at least 2-4 papers, and a brief discussion (one page is
plenty) of their content and relevance to your project. EVERY
project is expected to have a section of this kind, even if it is an
implementation. (You can review how others have attacked this problem
[including citations] and give a brief review [and citations] on the
approach(es) you're considering.) If you do not know of related papers
yet, then you might try browsing relevant sections of the text, and/or
look through recent conference proceedings such as the International
Conference on Machine Learning, and recent journal articles in the
journal Machine Learning. You may also cite the textbook if
it gives a good overview of something relevant to your project, but you
can do just as well by reading the papers the book cites.