Placeholder

This is an advanced level course designed to involve students into computational seismological research. The topics covered include digital signal processing, seismometers and seismic networks, basic and advanced seismic data processing tools, travel time and synthetic seismogram calculations, earthquake location, surface wave inversions, and microseismic detection, etc. The class also includes an optional field trip to learn how to deploy seismometers in the field.

Placeholder

This course provides academic credit for independent thesis research conducted under the supervision of a Georgia Tech faculty advisor. The course does not involve regular class meetings, assignments, or examinations. The scope and direction of research are determined by the student in consultation with the thesis advisor, consistent with the requirements of the degree program.

Identify and discuss ethical challenges that will be confronted in research, and give an overview of the research areas of the faculty in EAS.

Independent research conducted under the guidance of a faculty member.

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

Placeholder

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

Placeholder