Paola Passalacqua

Data Analysis Tools: Integrating Computational and Statistical Techniques in the Environmental Engineering Curriculum 

Cohort: 2018
Fellow: Paola Passalacqua

The goal of this project is to train the next generation of environmental engineers in computing and statistical techniques to solve big data problems. Current undergraduate students in the Department of Civil, Architectural and Environmental Engineering have little to no exposure to computational and statistical methods for data analysis (e.g., big data collected from sensor networks). I proposed to integrate computational techniques in several courses throughout the Environmental Engineering Degree.