Data-Driven Physics Modeling using Python/MATLAB – Training Services

Data-Driven Physics Modeling using Python/MATLAB – Training Services provides training on leveraging experimental and simulated data to develop predictive models for physical systems. The course covers techniques such as regression, machine learning, system identification, and data assimilation, implemented through Python and MATLAB. Participants will learn to integrate data with physical laws to model complex systems in mechanics, thermodynamics, electromagnetism, and quantum physics. Emphasis is placed on model validation, uncertainty quantification, and visualization of results for accurate interpretation. Case studies demonstrate applications in materials science, fluid dynamics, and energy systems. Hands-on sessions provide practical experience in building, testing, and refining data-driven models to enhance predictive capabilities. By the end, participants will be equipped to combine data analytics with physics principles for computational modeling.