Course
Course Name
Degree
Stochastic Analysis
PhD
Big Data Processing and Analysis Technology
Algebraic Number Theory
Algebraic Topology
Complex Analysis Ⅱ
Commutative Algebra
Empirical Analysis Methods and Stata Application
Master
Statistical Case Practice
Applied Time Series Analysis
Analysis in Banach Spaces
PhD，Master
Navier-Stokes Equations
Sobolev Spaces and Introduction to Partial Differential Equations
Structure-Preserving Algorithms
Insurance Risk Theory
Bayesian Statistics
Calculus of Variations
Theory and Methods of Uncertain Mathematical Programming
Measure Theory
Qualitative and Stability Theory of Ordinary Differential Equations
Differential Equations in Abstract Spaces
Sampling Techniques
Algebraic Graph Theory
Algebra
Algebraic Combinatorics
Fourier Analysis
Multigrid Methods and Theory
Second-Order Elliptic Partial Differential Equations
Theory and Numerical Methods for Inverse Problems
Theory of Reaction-Diffusion Equations
Functional Analysis
Introduction to Noncommutative Lp Spaces
Nonlinear Dynamical Systems and Chaos
Nonlinear Functional Analysis
Numerical Methods for Nonlinear Optimization
Symbolic Computation and Automated Reasoning
Advanced Multivariate Statistical Analysis
Advanced Complex Analysis
Advanced Time Series Analysis
Advanced Mathematical Statistics
Advanced Numerical Analysis
Advanced Regression Analysis
Advanced Econometrics
Basic Number Theory
Geometric Functional Analysis
Financial Risk Management and Modeling
Theory and Applications of Matrix Inequalities
Matrix Analysis
Fundamentals of Control Theory
Riemannian Geometry
Selected Topics in Quantum Probability
Cryptography
Queues and Queuing Networks
Control Theory of Partial Differential Equations
Numerical Solution of Partial Differential Equations
Nonlinear Methods in Partial Differential Equations
Global Optimization and Intelligent Computing
Artificial Intelligence Algorithms and Applications
Artificial Intelligence and Pattern Recognition
Neural Networks
Differential Equation Theory in Mathematical Biology
Biostatistics
Data Acquisition Methods
Data Mining and Machine Learning
Mathematical Finance
Numerical Algebra
Digital Geometry Processing
Stochastic Dynamical Systems
Stochastic Functional Analysis
Stochastic Processes
Stochastic Differential Equations
Numerical Methods for Stochastic Differential Equations
Topology
Statistical Inverse Problems
Statistical Analysis Software
Computational Statistics and Monte Carlo Simulation
Convex Optimization
Random Walks on Graphs
Bifurcation Theory of Differential Equations
Differential Geometry
Advanced Topics in Physics
Theory and Method of Modern Statistical Learning
The Spectral Theory of Linear Operator
Theory of Finite Groups
Finite Element Method
