CSCE 496/896 Project Rules

Projects are due by 5:00 pm on Monday, December 13 (i.e. Monday of finals week).
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
- References
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.

You may also want to look at a Generic Proposal/Paper Outline by Steve Goddard and Doug Niehaus, Resources for Technical Writing by Steve Goddard, and Checklist for Articles by Henning Schulzrinne. To conform to IEEE style for journals, see the page of style files for LaTeX and MS-Word.