Emphasizes spatial reasoning and analysis. Topics include spatial data models, data requirements and acquisition, spatial analysis using GIS, implementation within an organization, and especially the application of GIS to problem-solving in other disciplines. Two lectures, two laboratories. Students learn data entry, data manipulation, and database structure. The material learned in the first two weeks in then applied to help investigate environmental problems.
Students learn the multidisciplinary techniques of management.
Offered as needed. 210 Energy and the Environment. Sources, production, distribution, and consumption of energy are considered with special attention to alternative energy systems including wind, solar, and geothermal and conservation. Environmental effects of air and water pollution also are considered. Experiments are conducted to aid in understanding the principles presented.