Scientific Machine Learning

Title of the course: An Introduction to Scientific Machine Learning

Lecturer: Paola Gervasio

Objective of the course: Understand the foundational concepts of machine learning and how they apply to problems in science and engineering. Describe key methodologies used in SciML, including data-driven modeling, physics-informed neural networks (PINNs), and hybrid modeling approaches.