AI4Fusion Summer School

AI/Machine Learning Summer School for Fusion Energy (June 3-14, 2024)

An intensive 2-week summer school focused on undergraduate students with backgrounds in physics, engineering, computer science, applied mathematics and data science will be offered at William & Mary.

This summer course will include a close to equal distribution of traditional instruction and active projects. The traditional instruction will provide daily morning lectures with a focus on computing, applied mathematics, machine learning and fusion energy.

These classes will be based on existing classes offered in data science at W&M, such as databases, applied machine learning and deep learning in data science. These classes will be supplemented with lectures focused on fusion energy for the applications that the students will tackle during the hands-on sessions and for students’ summer research. A draft agenda to be posted soon.

Lecture Topics (Tentative List)

Data Science/Machine Learning
- Intro to Machine Learning
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Search Algorithms . Optimization
- Deep Learning
Fusion Energy Applications
- TBC

If you have any questions, please contact: wmsummerschool@gmail.com