This page brings together selected coursework in probability, statistics, optimization, and artificial intelligence, teaching assistant materials, and my self-learning plans.
Selected Coursework
- Advanced Mathematical Statistics
- Advanced Probability Theory
- Stochastic Processes
- Limit Theory
- Multivariate Statistical Analysis
- Optimization Algorithms
- Foundations of Artificial Intelligence and Machine Learning
📝 Study Notes
Here are some lecture notes and solutions from my work as a teaching assistant for Linear Algebra B1 in Fall 2025 and Mathematical Analysis B1 in Fall 2026.
Self-Learning Roadmap
During my fourth year at USTC, I plan to independently study courses in the following areas:
- Deep learning
- Reinforcement learning
- Foundations of modern large language models (LLMs)