Individual Fellow Initiatives
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.
A Sustainable Way to Teach Data Mining and Mapping: Proof of Concept For a Flipped Computational Skill Instruction Module
Cohort: 2017
Fellow: Lars Hinrichs
This project is directed at students with no prior knowledge of computer programming languages. When introducing complex and new skills such as computer programming in a classroom, teachers are often confronted with a lot of worried students and great numbers of very different questions, especially in humanities departments. The lecture setting is not well suited to address the needs of individual students.
Clinical Advancement in Simulated Environments
Cohort: 2015
Fellow: Courtney Byrd
Among the communication disorders considered to be fundamental to the scope of practice for speech-language pathologists, stuttering or what is also commonly referred to as a fluency disorder has historically been and continues to be the disorder for which most speech-language pathologists report minimal to no clinical or academic exposure and/or competency.