RyanM’s Profile

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Active 5 years, 8 months ago
RyanM
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Remote Sensing

Remote Sensing

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.

ECON2505 Env Econ, SP2016 Wed. D728

ECON2505 Env Econ, SP2016 Wed. D728

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, Architectural Technology, Environmental Control Technology, Hospitality Management (sustainable tourism), and Sustainable Technology. 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.

MAT2572ProbW/Stat, SP2016

MAT2572ProbW/Stat, SP2016

Topics for the course include sample spaces and probabilities, discrete distributions (Binomial, Negative Binomial, Geometric, Hypergeometric, Poisson, and Gamma), continuous distributions (Uniform, Normal, Chi-squared), expectation and variance, hypothesis testing, interval estimation and confidence intervals. There will be extensive use of MS Excel and R, a statistical software program. At the end of the course, students should be able make meaningful connections between statistics and other areas of study, including and social sciences.

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