Fall Semester 2005: September 8, 2005 - December 12, 2005
Out on:
November 20, 2005
Due by:
December 1, 2005 by 5:59 pm for full credit (11:59 pm for 10% off, hard deadline)
Collaboration:
Teams
Grading:
Packaging 10%, Style 10%, Performance 20%, Design 20%, Functionality 40%
The eleventh assignment for 600.226: Data Structures once again deals with maps of Baltimore or "Charm City" as it is affectionately called by some. It's time to actually "attack" the competition and extend your "big project" with the real functionality that clients of MapQuest, Yahoo! Maps, and of course Google Maps expect. It's time for driving directions and all that good stuff. :-)
This is a team assignment, and all of you should
know which team you're in (I hope).
Each team hands in one assignment only, but please make
sure to include the relevant information (who is in the team!) in
your README file.
All members of a team will receive the same score for the product
you submit together.
Your one and only task for this assignment is to turn your prototype from last week into a real mapping application with the following features:
Please use Dijkstra's algorithm for finding the least-cost path through your network of streets. That's it! At least for the "core" requirements that we will expect when grading your project. Of course you should still try to "outdo" your competition in whatever area you feel will be most important to convince the venture capitalists to invest in your startup company at the end.
Aside from the code you develop for this problem (and thus your project)
please also include a plain Unix text file PLAN that contains
your "design notes" for the project; this doesn't have to be some fancy
prose document, but it should describe your key abstractions and key use
cases in enough detail for us to follow your ideas.
Here is a list of features (in addition to those we suggested last week) you might want to think about as you are trying to produce the coolest mapping application in years:
Need even more ideas? Jason's original assignment has several good suggestions, please check those out. Of course there are many more possible features, and you're free to implement whatever you can come up with. Go ahead and surprise those venture capitalists... :-)
Please turn in a
gzip
compressed
tarball
of your assignment (the extension should be .tar.gz).
The tarball should uncompress into a directory
cs226-assignment-11-teamcode
with teamcode
replaced by the code assigned to your team for your repository
and your mailing list;
uncompressing should not create any other files
in the current directory.
The tarball should contain no derived files whatsoever
(i.e. no .class files),
but allow building all derived files.
And your tarball should definitely not contain copies of
the data files, but instructions of where we have to put them for
your code to find them.
Include a README file that briefly explains what your
programs do and contains any other notes you want us to check out
before grading.
For reference, here is a short explanation of the grading criteria.
Packaging refers to the proper organization of the
stuff you hand in, following the guidelines for Deliverables above.
Style refers to Java programming style, including
things like consistent indentation, appropriate identifiers,
useful comments, suitable javadoc documentation, etc.
Simple, clean, readable code is what you should be aiming for.
Performance refers to how fast your program can
produce the required results compared to other submissions.
Design refers to proper modularization and the
proper choice of algorithms and data structures.
Functionality refers to your programs being
able to do what they should according to the specification
given above; if the specification is ambiguous and you had
to make a certain choice, defend that choice in your
README file.
If your programs cannot be built you will get no points whatsoever.
If your programs cannot be built without warnings using
javac -Xlint
we will take off 10% (except if you document a very good reason).
If your programs fail miserably even once,
i.e. terminate with an exception of any kind,
we will take off 10%.
This project is based on a similar assignment by
Prof. Dr. Jason Eisner;
thanks a bunch for the inspiration!
You are free to read
Jason's assignment
which contains a lot of advice and background information;
however, remember that you are doing this
version, not Jason's version; if you use any of Jason's
ideas, please give proper credit in your README file.