The student learns the distinctive characteristics of spatial data; knows
the technologies for data acquisition and their tolerances; is aware of
data currency and of the importance of metadata. Know vector and
raster data characteristics, the basic on data bases and the query
The student learns how to georeference data and how to perform data
interpolation and evaluate the result. Learns how to perform spatial
queries and selection based on attributes and combine them.
Applies this knowledge to the solution of engineering and planning
problems using GIS software.
Teamwork in the exercices help students to make and motivate choices,
exchange opinions, draw conclusions.
The exercices in class do not merely repeat several time the same case,
but demand of the student a critical review of his knowledge by varying
the format of the data available and of the source of information.