David Lattanzi, Associate Professor, Civil, Environmental and Infrastructure Engineering, is developing a curricular framework for data science education and workforce development that is transferable between diverse institutions, so STEM-related programs can plug and play data science lessons with existing curricula without much overhead. These lessons will be created in conjunction with community stakeholders and industry partners to ensure a focus on real-world problem-solving and include student organizations in course development to promote flexible learning pathways. The proposed additions to undergraduate STEM education will provide an evidence-based blueprint for best practices in integrating data science with existing engineering curricula.
Lattanzi holds that implementation of this curricula across multiple engineering departments will result in a significant impact on society through the training of a diverse, globally competitive STEM workforce with high data literacy.
"My hope is that this project helps faculty across the country incorporate modern data science concepts into their existing classes, with a minimum of time and hassle for the instructors," he said.
Lattanzi will receive $120,061 from the National Science Foundation for this project. Funding will begin in October 2021 and will end in late September 2024.
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