YMSC offers a series of public courses covering Algebra, Number Theory, Topology, Geometry and Geometric analysis, Imaging science, Computational Mathematics, Applied Mathematics, Mathematical Physics, Statistics, and other frontiers in mathematics and interdisciplinary fields, providing students with a wealth of mathematical theoretical knowledge and exposing them to cutting-edge research in mathematics. Since 2010, YMSC has offered more than 200 public courses, an average of more than 10 courses each semester.
- Course name Instructor
- Theory and Algorithms in Deep Learning: From A Numerical Analysis Perspective Juncai He
- Advanced topics in General Relativity: The general relativistic Cauchy problem Piotr T. Chru´sciel
- Reading course seminar on “Non-linear Yau-Yau filter” Prof. Stephen Yau
- Advanced Methods in Geometric Analysis Yingying Zhang
- Fractal Geometry Sze-Man Ngai
- 【2025春】Applied Regression Analysis 应用回归分析 Prof. Per Johansson
- Convexity → Concentration → Data Science Jinshuo Dong
- An introduction to p-adic period domains Heng Du
- Creative Problem Solving Cezar LUPU (BIMSA)
- Introduction to 4-dimensional Seiberg-Witten theory Weifeng Sun
- An Introduction to the Calderón Problem Li Li
- Quantum Scientific Computation and Quantum Artificial Intelligence Jin-Peng Liu
- 【2024秋】Introduction and overview of symplectic geometry Kenji Fukaya
- 【2024春】Causal inference Per Johansson
- The Hodge-Tate period map on the perfectoid Shimura variety Yihang Zhu
- Econometric analysis of cross section and panel data Per Johansson
- Introduction to Geometric Langlands Theory Lin Chen
- Quantum information and computation Zi-Wen Liu
- Mathematical study on metamaterial and its applications Hongjie LI
- High-Dimensional Statistical Learning Theory Yuhong Yang
- Introduction to cluster algebras Dylan Allegretti
- 【2023秋】Game theory Yuval Peres
- Birational Geometry II Caucher Birkar
- Topics in Statistical Theory Yannis Yatracos
- Statistical Topics with Missing Data Donald Rubin
- 【2023春】Causal inference for statistics, social and biomedical sciences I Per Johansson
- Matched Sampling for Causal Inference Donald Rubin
- Topics in Statistics and Data Science Yannis Yatracos
- Econometric analysis of cross section and panel data Per Johansson
- Deep Generative Models Xie Pengtao
- Introduction to Eigenfunctions of the Laplacian Zhang Cheng
- Random Walks and Homogenization Theory Gu Chenlin
- Introduction to contact topology Gao Honghao
- Statistical Theory Yang Fan (F)
- Topics in random matrix theory Yang Fan (M)
- Introduction to geometric representation theory Su Changjian
- 【2022秋】Topics in p-adic Hodge theory Koji Shimizu
- Teichmuller spaces of negatively curved metrics 江怡
- 【2020 Fall】Supersymmetric field theories in low dimensions Junya Yagi
- Microeconometrics: Identification and inference. Per Johansson
- Conformal field theory Chi-Ming Chang
- Purity, perversity and applications-1 Zongbin Chen
- Automorphic representations and analytic number theory on higher rank reductive Yueke Hu
- Topics in Kähler geometry Akito Futaki
- A second course in Theoretical Statistics Yannis Yatracos
- Recent development in partial differential equations Yang Lan
- Hodge structures and period maps Eduard Looijenga
- Topics in probability—statistical physics models Hao Wu & Jianping Jiang
- Introduction to Chevalley groups and Bruhat-Tits theory Chun Yin Hui
- 【2020 Spring】Mirror symmetry: categories and constructions Will Donovan
- Micro data econometrics Per Johansson
- Introduction to the monodromy groups of Galois representations Chun Yin Hui
- Introduction to categorification Tian Yin
- Topics on trace formula and relative local harmonic analysis Xu Bin、Cai Li
- 6d superconformal field theories HAGHIGHAT BABAK
- B-branes and related stuff Mauricio Romo
- Topics in the representations of groups Liu Yu、Wang Haoran
- Toric Geometry and Related Topics Zong Zhengyu
- Dynamics on Moduli Spaces Yitwah Cheung
- Langlands Program and conformal field theory Yuan Yao
- Introduction to Vertex Operator Algebras Robert McRae
- Mathematical Aspects of Gauge/Gravity Duality Lin Hai
- Distributed Computing Concepts: Towards PDE-related problems Qiu Lingyun
- Discrete geometric analysis and its application Lin Yong
- Introduction to characteristic classes Jiang Yi
- Long Time Solutions to Vacuum Boundary Problems of Compressible Fluids Equations Zeng Huihui
- Geometric class field theory Fu Lei
- Modern Cryptography and Blockchain Ding Jintai & Tao Chengdong
- Topics in Kähler geometry Akito Futaki
- Ricci curvature and Ricci flow on graphs Frank Bauer & Lin Yong
- Vertex operator algebra and superconformal field theory Yan Wenbin
- Dynamics on Moduli Spaces Cheung Yitwah
- Topics in the representation theory of vertex operator algebras Robert McRae
- 【2021 Spring】Introduction to Higher Topos Theory Diao Hansheng
- Automorphic representations and their applications Cai Li
- Linear series on curves Xiang He
- An introduction to moduli spaces Wu Baosen
- Mathematical Frameworks of Gauge-String Duality Lin Hai
- Topological Quantum Computation Babak Haghighat
- Econometric analysis of cross section and panel data Donald Rubin & Per Johansson
- Hodge Theory of Cubics Yu Chenglong
- Gauge Theory and the Geometric Langlands Program Philsang Yoo
- Four-dimensional topology Jianfeng Lin
- Topics in Statistics Yannis Yatracos
- Invariants of Knots and 3-manifolds Nicolai Reshetikhin
- Birational Geometry I Caucher Birkar
- Micro-econometrics and causal inference Per Johansson
- Arithmetic of cyclotomic fields and modular symbols Emmanuel Lecouturier
- Topological Quantum Matters Qingrui Wang
- Quon Language for Quantum Information Zhengwei Liu
- Matched Sampling for Causal Inference Donald Rubin
- Braids and polynomials Chen Weiyan
- Causal inference for statistics, social and biomedical sciences Donald Rubin & Per Johansson
- Derived functors in algebraic and birational geometry Will Donovan
- Modern Cryptography Jintai Ding & Bei Liang



