Student 406095’s Profile Student

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.

A 3 credit but 4 hour introductory course. Topics include sample space, expectation and variance, binomial, Poisson, normal, student and chi-square distributions, confidence interval, hypothesis testing, correlation and regression. Students do 3 projects, 1 individual and 2 in groups and choose one of the group projects to present at the end of the semester. The extra classroom hour is designed to facilitate a hands-on feel to the course including a heavy use of MS Excel.

A 3 credit but 4 hour introductory course. Topics include sample space, expectation and variance, binomial, Poisson, normal, student and chi-square distributions, confidence interval, hypothesis testing, correlation and regression. Students do 3 projects, 1 individual and 2 in groups and choose one of the group projects to present at the end of the semester. The extra classroom hour is designed to facilitate a hands-on feel to the course including a heavy use of MS Excel.