Mechanistic Data Science for Engineering

1 Unit · Graduate

Introduce mechanistic data science for engineering through the integration of mathematical scientific principles using six basic?data science concepts: multimodal data generation and collection, extraction of mechanistic features, knowledge-driven dimension reduction, reduced order surrogate models, regression and classification models, and system and design. These concepts will be implemented using Python and MATLAB for engineering applications.