CSCE 970 Project Rules

  1. Before you begin your project, you are to submit to sscott@cse.unl.edu, in text format in the body of an email, a 3–5 paragraph proposal of your project. This is due by Sunday, February 26 at 11:59 pm. You should outline the scope of your project (i.e., what the problem is), what you plan to do for your project, and a few ideas of sources (beyond just using the textbook). We will respond soon after with our assessment of your project (i.e., whether or not you may do it) and some suggestions on the scope and possible sources.
  2. Projects are due by 11:59 pm on Wednesday, April 26.
  3. By the project deadline you are to submit, via handin:
  4. Your writeup should include the following sections:
  5. 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. (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 journals Machine Learning and Journal of Machine Learning Research. 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.
  6. You should also look at Tips on Presenting Technical Material since you will be heavily graded on oral and written presentation of your results.

Last modified 16 February 2017; please report problems to sscott AT cse.