Course Details

The course “Machine Learning in Computational Mechanics” introduces modern machine learning and data-driven methods for modeling and simulation in engineering. It covers supervised and unsupervised learning, neural networks, and physics-informed approaches for solving differential equations. Advanced topics include neural operators, generative AI, uncertainty quantification, and surrogate modeling in computational analysis.