Grading criteria

1.	Problem statement
State your question clearly.  Propose a hypothetical answer to this 
question, and tell how you propose to support this conclusion.

2.	Scholarship
How is your question related to others?

2.1.	Library
Include at least one reference to an article in a major scientific journal, 
or a central textbook.  (Oh yes: READ this reference!)

2.2.	WWW
Include at least one link to a URL that you recommend as especially useful 
on this topic.

3.	Corpus/Dataset
You may need to collect special data for your project.  If so, spend some 
time 'cleaning up' this data set and make any parsing utilities you develop 
easy for others to use later.

4.	Code
4.1.	Accessibility
Good coding conventions, style, documentation, etc.  

4.2.	Reusability
Integration with others' code libraries, etc.

4.3.	Performance
Efficiency and correctness

5.	Math/Theory
What can you establish from 'first principles,' prior to doing any 
experimentation?  

6.	Experiment
6.1.	Design
Motivate the design of the experiments you are doing.  What are the 
dominant variables to be manipulated?  What are the variables you will 
observe?

6.2.	Data presentation/graphics
How can your data be presented most concisely?  Be sure to include at 
least 

Format

Your report should be in HTML, with figures in GIF, PNG or JPG format.

Citations should be correctly formatted, e.g. according to van Leunen's 
Handbook for Scholars (Oxford Univ Press, 1992).  You are strongly 
encouraged to use BibTeX or some similar bibliography formatting utility 
to simplify this task.