Programming: For a programming project, you will implement a visualization system of your own. You may use existing components as the base for your system.
Analysis: For an analysis project, you will pick an
application domain to address, and write a combination survey/analysis
paper about it. No serious programming is required, so this option is
suitable for non-CS students. You will include a detailed survey of
previous work in the area. This survey should be more considerably
detailed than the required previous work section in the programming
project writeup. You will pick one or more existing software tools to
to analyze a dataset from that domain, so no serious programming is
required. (You may need to write some scripts to change data formats,
however.) The analysis should analyze the strengths and weaknesses of
those tools, and discuss in detail whether they are effective for the
task that you have chosen.
In many lectures, I will include a section going into detail on a few
software packages and toolkits that you might use to build your
final project. Some of these packages are now listed in the Software Resources page, and more
will be added over the course of the lectures.
You're submitting a proposal, not a specification - it's natural that
your plans will change somewhat as you refine your ideas. But your
proposal should be based on an idea that we've discussed and I've
approved. When you come talk to me about your proposal, I'll give you
some pointers to background reading in the area of your interest.
You need to meet with me the week of October 16 at the absolute
latest, and earlier would be better. While I can sign off on some
projects after only a single meeting, some people have needed two or
three meetings to find an appropriate project that gets approved.
I advise that you start by thinking about what you want your software
to do, and only then think about how you would implement it
(languages, platforms, etc). The key is to find some domain and task
that both interests you and presents an opportunity for infovis. That
is, there is some task where a human needs to understand the structure
of a large dataset. You're definitely welcome to link the infovis
project to another class or research project. You may also build on
existing software, but your project should include some implementation
work of your own.
I do not advise that you start by deciding on a language, and then
look around for some task that you might be able to do in that
language - that's backwards, and is likely to stifle your creativity
Proposal format: your writeup should be at least two pages and
include:
One proposal per project (whether it is individual or team) is due on
October 27 by 5pm. Your proposal should be in the form of either HTML
or PDF. Send me the URL for the page to hand in the proposal. Your
email must have the following subject header:
You will present the results of your project with both a presentation
and a written report. The presentation will occur during the final
exam slot for this course, and the report is also due at that time.
The reports should be at least 8-10 pages of text (programming) or
15-20 pages (analysis), and should include screen snapshots of your
running software. There is no length restriction, feel free to use as
much space as you need for images. Showing live demos of your software
in action is encouraged in the final presentation. If you are giving a
demo, be sure to practice in advance so that you don't run over your
time slot! If you're using my laptop, also be sure that you have checked with
me beforehand to make sure that things are set up correctly (check at least 48
hours in advance, you can get me newer software if needed later).
Although your primary audience is me and your classmates, I will be inviting
the department so there may be people there who haven't seen your project
updates. Also, your classmates may not remember every detail of your project!
So some context-setting is appropriate, but do focus more on your
results.
In contrast, your final report should be a standalone document that
fully describes your project. Do not assume the reader has seen your
original proposal. It should have both the structure and form of a
conference paper, using the InfoVis templates. Your
paper should include the following information:
Software
The language and platform for your project is your choice.
Proposals
Meet with me in person to discuss your project at
least once before submitting a proposal!
A scenario spells out what a user
would have to do and what he or she would see step-by-step in
performing a task using a given system. The key distinction
between a scenario and a task is that a scenario is
design-specific, in that it shows how a task would be
performed if you adopt a particular design, while the task
itself is design-independent: it's something the user wants to
do regardless of what design is chosen.
Subject: 533 submit proposal
Updates
The class sessions on November 14 and 16 will be used for project
update presentations. More details on exact schedule and format will
be posted after the proposals are submitted.
Final Presentations/Reports
Final presentation length: 20 minutes
Final report format: PDF
A few examples of strong projects/papers from previous courses:
Projects From Other Courses
There are several previous infovis courses that have project
components, browsing through the final reports may help you think
about what you might like to do, and what scope is realistic for a
course project. Note that the scope of the projects may be different
at other universities, but the UBC courses that I have taught can
provide calibration.
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Tamara Munzner
Last modified: Wed Dec 20 20:11:52 PST 2006