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This interdisciplinary course examines current environmental issues from a macroeconomic perspective, focusing on both the long and short-term economic viability of various proposals to address current environmental challenges. While the discipline of Economics serves as a central focus, the course draws extensively from the perspectives of Sociology, Psychology, Architectural Technology, Hospitality Management, and Engineering/Environmental Control Technology, among others. Traditional goals of economic efficiency will be examined in the context of the need to expand renewable energy sources, green building design and construction, sustainable agriculture and trade, resource allocation and other efforts to combat climate change on a global scale. It focuses on both the long and short-term economic viability of various proposals to address current environmental challenges drawing upon the inherent interdisciplinary connection to these vital economic issues.

This interdisciplinary course examines current environmental issues from a macroeconomic perspective, focusing on both the long and short-term economic viability of various proposals to address current environmental challenges. While the discipline of Economics serves as a central focus, the course draws extensively from the perspectives of Sociology, Psychology, Architectural Technology, Hospitality Management, and Engineering/Environmental Control Technology, among others. Traditional goals of economic efficiency will be examined in the context of the need to expand renewable energy sources, green building design and construction, sustainable agriculture and trade, resource allocation and other efforts to combat climate change on a global scale. It focuses on both the long and short-term economic viability of various proposals to address current environmental challenges drawing upon the inherent interdisciplinary connection to these vital economic issues.

Highlights the physical and mathematical principles underlying remote sensing techniques, covering the radiative transfer equation,atmospheric sounding techniques, interferometric and lidar systems, and an introduction to image processing. The lab component introduces remote sensing software HYDRA, and MATLAB, used for image display and data analysis.

Highlights the physical and mathematical principles underlying remote sensing techniques, covering the radiative transfer equation,atmospheric sounding techniques, interferometric and lidar systems, and an introduction to image processing. The lab component introduces remote sensing software HYDRA, and MATLAB, used for image display and data analysis.