Individual Fellow Initiatives

My project addresses the lack of built-in social/wellness-oriented interactions in introductory courses for

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.

In many curricula students find it difficult to understand the common thread and themes between their courses until near graduation (or ever). Thus, students are unable to benefit from the synergistic nature of a fully integrated program. Courses are taught by different instructors with different teaching styles and nomenclature (a potentially good thing), but all too often even the instructors are unaware of the material or educational objectives taught in complementary courses.