Course Description

This course explores recent research at the intersection of artificial intelligence and scientific discovery.

It aims to equip students with an understanding of how modern AI techniques are applied to real-world scientific and engineering challenges.

Through hands-on experience with existing methods and datasets in simplified settings, students will gain practical insights into the development and application of AI for scientific problems.

Topics include foundational algorithms and applications such as AI-driven materials discovery, data-driven physical law discovery, and other emerging areas in science-oriented AI research.