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.