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Real Analysis
- Complex Analysis
- Fourier Analysis
- Functional Analysis
Numerical Analysis
- Dynamical System
- Numerical Methods for DE
-
Numerical Methods for PDE
-
Uncertain Quantification
- Lattice Boltzman Method (Audit)
Optimization
- Operation Research
- Nonconvex Global Optimization
- Foudations of Opt for Machine Learning (Lecturer: Prof. Suvrit Sra)
- Opt for Machine Learning (Lecturer: Prof. Martin Jaggi)
- Combinatorial Optimization (Audit)
- Convex Optimization (Textbook from Boyd)
Probablity & Statistics
- Probablity Theory
- Branching Random Walk
- Molecular Dynamics Simulation and Deep Learning
- Statistics
- Economic Statistics
- Foundamentals of Mathematical Statistics
- Deep Learning Theory (Lectuer: Prof. Zhiyuan Li)
- Statistical Foundation for Machine Learning (Audit)
Computer Science
- Natural Language Processing
- Data Structure & Algorithm
- Computational Single-Cell Method
(And all the theoritical CS courses mentioned above)
Physics
- Natural Language Processing
- Mechanical Mechanics
- Electromagnetism
- Waves and Modern Physics
- Quantum Mechnics
- Particle Physics I (Audit)
Others