Individual Fellow Initiatives
Cola Interdisciplinary Program Instructors' Community of Practice
Cohort: 2022
Fellow: Elon Lang
There are two main issues that this project hopes to address. The first is the student and instructor malaise that
has been noticed by educators and administrators across our whole campus since the return to face-to-face
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.