This repository contains curated instructional materials for the course AI-Driven High Energy Physics, designed to introduce students and researchers to the application of artificial intelligence techniques within the domain of particle and high energy physics.
The repository is organized into the following directories:
- Lectures/ — Comprehensive lecture materials covering theoretical foundations and problem-solving sessions.
- Assignments/ — Applied research assignments and capstone projects integrating AI techniques with high energy physics datasets and simulations.
- Git and Github Tutorial: This is tutorial for Git and Github, you can access it from this link: https://drive.google.com/drive/folders/1XsgVHTNd0vZBSRs9Ve902IG2MnEFna4U