The KAUST Applied Mathematics School is a 1-week visiting program aiming to introduce undergraduate and master's students to special research topics that focus on key areas in applied mathematics and computational science.

The AMS includes:

• Special talks from KAUST world-renowned experts and faculty in applied mathematics, computational science and statistics.
• Practice sessions.
• The opportunity to interact with high-profile international researchers and to learn more about our research groups.
• Social events.

Topics you will learn about in the AMS:

• State-of-the-art training methods for AI.
• Scientific machine learning and nonlinear solution methods.
• Data sparsity and nonlinear preconditioning.
• Probabilistic machine learning.
• Approximation of FSI problems.
• Multigrid and fluid dynamics in medicine.

Program (AMS 2024):

The program will be updated soon.