Júlia Seixas

Environmental data is spatial by nature, owing to geographical and environmental agents that determine their spatial distribution. Some examples include the distribution pattern of a pollutant over a city, an estuary or coastline, the distribution of a contaminant in soil, the noise level in the surrounding area of ​​an airport, the distribution pattern of a protected species or land use. The engineering, and in particular the Environmental Engineering rely, increasingly, on the operability of TIG in areas as diverse as planning and land management, monitoring and visualization of environmental variables, the study of landscape and ecology, water resources management, environmental impact studies and environmental modeling. Spatial literacy and explicit "spatial dependence" of the world continues to grow, and this trend should be explored and developed scientifically, socially and commercially. The use of geographic information (GI) and TIG associates have penetrated all sectors of society, and its increasingly ubiquitous use in all sectors of the economy. It has been proven that the use of TIG is a decisive factor of competition in business, social welfare and value added in making decisions.

At the end of the course, students should: Be familiar with the fundamentals of Geographic Information Science; Be trained in approaches to spatial analysis problems in Environmental Engineering (have developed their spatial and technological literacy); Being able to handle a GIS to solve a practical problem of Environmental Engineering; Be able to understand the market for geographic information technologies, and propose new ideas for the development of new products.