COURSE

DSAA3074

Deep Learning for Science and Engineering

Information Hub / Data Science and Analytics · 3 Credits

Advances in machine learning and deep machine learning are continuously penetrating computational science and engineering. This course will introduce students to recent advances in data-driven scientific research based on deep learning techniques, enabling next-generation scientists and engineers to leverage AI in crossdisciplinary fields. Topics include but not limited to advanced deep neural network models, physicsinformed neural networks (PINN), model discovery and prediction, uncertainty quantification, and neural operators. Applications to diverse scientific and engineering computational tasks aided by deep learning methods will also be introduced.