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Introduction to ML/AI and deep for Earth and environmental systems, focusing on data-driven modeling, high-dimensional datasets, interpretability, and physics-informed analysis.

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Independent thesis research conducted under the supervision of a Georgia Tech faculty advisor.

Introduction to the origin and evolution of Planet Earth, creation of the universe and the elements, early history of Earth, radioisotope geochemistry and the timing of events in the universe, the galaxy, and on Earth. Formation of the atmosphere and oceans. Climate.

Introduction to the origin and evolution of Planet Earth, creation of the universe and the elements, early history of Earth, radioisotope geochemistry and the timing of events in the universe, the galaxy, and on Earth. Formation of the atmosphere and oceans. Climate.

Independent research conducted under the guidance of a faculty member.

An introduction to the atmosphere, hydrosphere, geosphere, and biosphere as well as how each component interacts with the others and influences Earth's climate.

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EAS 9000 is the doctoral thesis credit course for students conducting original dissertation research under the supervision of Dr. Ali Sarhadi in the Climate Risk and Extreme Dynamics (CRED) Lab. The course is non-lecture-based and centers on sustained, independent research in Climate AI, physics-based machine learning, and tropical cyclone science, guided by regular advising and progress reporting.