Self directed learning form - Iker Olabarria

Submitted by ikerolaba on Tue, 2007-11-13 10:23.

Student name: Iker Olabarria Larizgoitia
Date: October 13th 2007.

Objectives:

Analyze relations between subjective and objective data.
Observe the results of obtaining data from unusual reference points.
Research the possibility to (un) distinguish data obtained from alive/dead “items”.
Compare real data to processed or unreal data.
Des-optimize data collection process
Use the data extracted from reality to draw an apparently distorted reality.

Resources and strategies

1) Choose subjective and objective variables to define the way to track each item.
2) Break some data consistency rules linking subjective variables between each other even if they refer to different “properties” in items.
3) Don’t use time as the variable that triggers data collection (use “event”, “subjective change”, or any other variable).
4) Track the items.
5) Store the data in a database.
6) Create artificial data based on the collected data (using a prediction algorithm or a probabilistic approach).

Proof of accomplishing:

To build a database with the data
To develop a graphical visualization of the data
To present my work to the group

Evaluation criteria and means of validation:

Group evaluation (feedback)
Self evaluation
Any meaningful pattern or behavior found on the de-contextualized data?