CSCE 478/878 (Fall 2014) Project Ideas
In this course you will do a substantial project. This project can be:
(1) an 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 small groups, though if you work in a group,
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. 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
will be to the entire class at the end of the semester: during the fifteenth
week (December 8–12), and if necessary, during the fourteenth week
(December 1–5). You will submit your written report to
me no later than 11:59 p.m. on
In accordance with UNL policies,
you have now been informed in
writing of the nature and scope of this project prior to the eighth week
Later this semester (late September to early October) I will set a deadline
for submission of 1–3 paragraph proposals on your projects. You must do this
in order to get full credit for your project, and you must get my approval on
it before starting work on your project.
I will provide a list of possible topics later this semester, but you
may propose your own topic as well. To be a valid topic,
it must go beyond the scope of the course.
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.
Projects are due by
Wednesday, December 10
Monday, December 15.
The proposal submission deadline is Sunday, Oct. 12. You
should submit it to me in text format in the body of an email before 11:59 pm on that day.
The proposal should include:
- A brief statement of your project topic.
- Motivation for your topic (why it is important and interesting).
- A precise work plan: what you plan to do, what data sets, etc. you plan to use.
- At least 3 references.
- Schedule of project presentations
Rules on projects, a.k.a. what
to turn in for your proposal and for your final project writeup
Tips on Presenting
- Sources of project ideas:
- 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. But you still need to submit a proposal.
- See this list of
ideas, including project ideas from other CSE faculty.
Some of these could be turned into research projects, e.g. a thesis
or project for MS or BS.
- Check the projects done in the following previous offerings of CSCE 970
and CSCE 478/878 (Machine Learning). You may choose to expand on one of these
970, Spring 1999
- CSCE 970,
- CSCE 970,
970, Spring 2007
478/878, Fall 1999
478/878, Fall 2001
478/878, Fall 2003
- CSCE 478/878, Fall 2004
- CSCE 478/878, Fall 2006
- CSCE 478/878, Fall 2008
- CSCE 478/878, Fall 2010
- Look at projects done in other machine
learning courses. But
if you choose such a project, please do not contact the instructors or TAs of
these courses without talking to me first!
If you think one of these ideas is interesting, send me a proposal just like
you would with any other project idea. Then, if necessary, I will contact the
instructor of that course for more information.
- Look at the "Notes" sections at the end
of each chapter of the textbook.
- Review papers from recent conference proceedings and journals.
- See this
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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