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Exercise work 2006
Exercise work 2006
To pass the course you must pass the examination and complete this
exercise work. The work will be graded on the scale rejected,
passed and passed with distinction.
To complete the exercise work you may need information that has not
been discussed in the lectures. If you have any questions please do
not hesitate to contact the assistant or the lecturer for hints,
guidance or references.
The exercise work will be graded within a month of the deadline.
A passed exercise work will be valid for one year after the
- The exercise work should be completed by one person. However,
discussing it with others is encouraged.
deadline is 5 May 2006. However, if you want the credits
for the course already after the 3rd period, you should return the reports
by 13 March.
- Reports submitted after the final deadline will be rejected.
If you have a very good reason that causes you to miss the final deadline
you can request an extension. The extension must be requested before
- To pass the exercise work you must fulfill the requirements given
in the "specific requirements" section.
- To pass with distinction you have to do additional work or the
specified tasks should be exceptionally well done.
- Accepted languages for the report are Finnish, Swedish and English.
- If you submit the exercise work report in time, but don't pass,
you will have a chance to supplement your work after the deadline.
The supplemented project works will not be eligible for the higher grade,
"passed with distinction".
- Each exercise work report should contain a section that comments
on the difficulty of the project and an estimate of the time used for
- Documentation should be in a format readable with generally available
tools. Preferred formats are Postscript and PDF. However, HTML and
plain text are accepted as well.
- The exercise work reports should be submitted by email
(firstname.lastname@example.org). You can either provide a WWW link
from which you report can be downloaded or you can
attach the report to the email. If email
submission is not possible you can use e.g. (internal) mail (Antti
Ukkonen, PL 5400, 02015 TKK). The exercise work reports should
contain your name, email address and full student number. If you
submit your work by email, please include the student number also to
the subject line.
Write 3-5 page summary of one of the papers listed below.
All papers are published in
Information Visualization; Houndmills, Summer 2004; Vol.3, Iss.2; Special Issue of selected and extended InfoVis '03 papers
through the electronic
collections of the HUT library.
Alistair Morrison, Matthew Chalmers. A pivot-based routine for improved
parent-finding in hybrid MDS.
Martin Wattenberg, Danyel Fisher. Analyzing perceptual organization in
Hong Chen. Compound brushing explained.
Diane Tang, Chris Stolte, Robert Bosch. Design choices when architecting
Geraldine E Rosario, Elke A Rundensteiner, David C Brown, Matthew O Ward,
Shiping Huang. Mapping nominal values to numbers for effective visualization.
Download one of the data sets given below and visualize some interesting
phenomena in the data. Write a short (2-4 pages) report that describes your
approach, obtained results and the methods and tools used. The purpose is
not to do an analysis that covers the data from all possible angles. Focus
on one or two aspects and try to make a clear visualization of them.
Some of the datasets can
only be downloaded from the university network.
Infovis 2004 data
The data describes research papers related to information visualization.
Of every paper is provided the title, authors, abstract, year of publication,
keywords and bibliography. You can check the original
winners of the 2004 Infovis contest to get an idea what one could do
with this data.
- US Census 1990 data (UPDATED Feb. 13!)
The data consists of a random sample of 24999 individuals, each described
by 68 attributes, such as level of education, occupation, country of
origin, number of children, etc. More information can be found
at the UCI KDD Archive website.
Do not try to
analyze the complete data. Instead, select some interesting subset of the
attributes for inspection. Descriptions of the attributes can be found
(If the previous link does not work, try this instead.) Note that
the continuous variables (eg. age) have been discretized by using this script. For example,
the value 5 in the dAge column means the person is 50-65 years old.
Check the script for further details. It is written in SQL but should
be very easy to interpret for anybody with programming experience.
- Infovis 2006 data
This alternative is provided for those that seek a challenge. The data is
180MB (zipped) and may require a lot of preprocessing as it is
divided to several files.
The use of available visualization tools (e.g. Matlab, R, Graphviz,
Inkscape etc.) is
encouraged. However, implementing your own scripts and small programs for
processing the data will be necessary.
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last updated Monday, 13-Mar-2006 10:22:31 EET