|
|
Home > Academia
Academia
The GIS center provides ongoing support for the integration
of GIS, GPS, Remote Sensing, and Photogrametry technologies into the academic
curriculum. Emphasis is placed on the incorporation of spacial technologies
into traditional environmental engineering and and environmental science courses.
These advanced tools provide students in the department with a combination
of traditional skills enhanced with software skills including ESRI's ArcGIS
and Erdas Imagine. Students have access to the department's high end computer
lab focusing on the above spatial technologies.
Classes offered during the Fall Semester:
GES 271 Environmental Mapping I: The Global Positioning
System
An introduction to the Global Positioning System (GPS) and environmental mapping
concepts and applications. Topics include coordinate systems, reference ellipsoids,
geodetic datums, and map projections. Practical field use of GPS is emphasized
within the context of understanding system components, satellite signal processing,
selective availability, base station differential correction, and data export
to a geographical information system. Two hours lecture and three hours
laboratory.
Prerequisite:GES 240 or GES 211 or consent of instructor.
Classes offered during the Spring Semester:
GES 272 Environmental Mapping II: Geographic Information
Systems
An introduction to Geographical Information Systems (GIS). Topics include
history of GIS, relational database management, data input/output, quality
control, integration with CAD and remote sensing technologies, data analysis,
and GIS as a decision support tool. Laboratory component emphasizes practical
skills in GIS data management and analysis. The goal of this course is to
develop a broad knowledge base and skills that foster the conduct of high
quality geographic analysis with geographic information systems. Two hours
lecture and three hours laboratory.
Prerequisite: GES 240 or GES 211 or consent of instructor.
GES 398 Remote Sensing Techniques for Environmental Applications
An introduction to Remote Sensing.
|