Data-Model Fusion in Research

3.0 credits · Graduate

This hands-on class trains graduate students on integrating data with models via data-model fusion to address scientific questions in research. Students will learn about modeling and the nature of data by integrating their own data with relevant models. Students will identify appropriate data to constrain their own models using various techniques, e.g., data assimilation and machine learning, in data-model fusion.