CSCE 478/878 (Fall 2001) Project Ideas

From the syllabus:

In this course you will do a substantial project. This project can be: (1) a very extensive literature search and summary on a particular topic, (2) a good implementation and evaluation of a known result in machine learning, or (3) a small (but nontrivial) amount of original research related to machine learning. You may work on these projects individually or in groups of two, but if you work in a group of two, then my expectations will be much higher when I grade your project.

You will summarize your project results in a written report and an oral presentation. If your project involves an implementation, then you may be asked to also give a brief demonstration. The written report must use a professional writing style similar to that found in an ACM or IEEE journal, including abstract, introduction, summary of related work, your contribution, references, and an appendix (if necessary). The oral presentation will be to the entire class at the end of the semester: during dead week (December 10-14), and if necessary, during the week prior to dead week (December 3-7). You will submit your written report to me no later than December 14 (the last day of dead week). In accordance with UNL dead week policies, you have now been informed in writing of the nature and scope of this project prior to the eighth week of classes.

Suggestions for projects can be found on the course's web pages, but you may propose your own topic as well. You must receive my approval on your topic before proceeding with your work! To be a valid topic, it must go beyond the scope of the course. So your project could be on a topic we did not cover in class at all, or could more deeply explore a topic we covered in class.

o Rules on projects, a.k.a. what to turn in for your final project writeup

o Tips on Presenting Technical Material

o Schedule of this semester's project presentations

o Topic surveys or implementations of existing systems

o Research projects: If your thesis research or a project you are doing for another course is appropriate for this course's project, I may allow you to use it for this course

o Project ideas from offerings of Machine Learning courses at other institutions

o A survey paper by Tom Dietterich on current research directions in machine learning [from AI Magazine, vol. 18, no. 4, pp. 97-136]

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Last modified 16 August 2011; please report problems to sscott AT cse.