Lecture Notes
Lectured Part
Fall, 2019
Advanced Algebra (I), lectured by Fuzheng Wang.
Geometry, lectured by Zhiqiang Bao.
Mathematical Analysis (I), lectured by Guanxiang Wang.
Spring, 2020
Advanced Algebra (II), lectured by Qingchun Tian.
General Physics (I), lectured by Shuxin Liu.
Mathematical Analysis (II), lectured by Guanxiang Wang.
Fall, 2020
Abstract Algebra, lectured by Maozhi Xu.
Functions of Real Variables (Real Analysis), lectured by Shiwu Yang.
General Physics (II), lectured by Xiaodong Hu.
Mathematical Analysis (III), lectured by Guanxiang Wang.
Spring, 2021
Functional Analysis, lectured by Bin Zhou.
Functions of Complex Variables (Complex Analysis), lectured by Meiyue Jiang.
Machine Learning, reference: Machine Learning (Zhihua Zhou), Tsinghua University Press.
Mathematical Modeling, lectured by Zhennan Zhou.
Ordinary Differential Equations, lectured by Wei Wang.
Probability Theory, lectured by Yanxia Ren.
Fall, 2021
Applied Partial Differential Equations, lectured by Pingbing Ming.
Applied Stochastic Processes, lectured by Daquan Jiang.
Mathematical Statistics, lectured by Liping Liu.
Statistical Learning, lectured by Wei Lin.
Spring, 2022
Causal Inference, supervised by Wei Lin, Cheng Zhang and Wang Miao.
Computational Systems Biology, lectured by Lei Zhang.
Optimization: Modeling, Algorithm and Theory, reference: Optimization: Modeling, Algorithm and Theory (Haoyang Liu, Jiang Hu, Yongfeng Li and Zaiwen Wen), Higher Education Press.
Measure Theory, reference: Foundations of Measure Theory and Probability Theory (Shihong Cheng), Peking University Press.
Fall, 2022
Advanced Theory of Probability, lectured by Xinyi Li.
Advanced Theory of Statistics, lectured by Wang Miao.
High-Dimensional Probability, lectured by Hao Ge.
Spring, 2023
Modern Statistical Modeling, lectured by Wei Lin.
Stochastic Processes, lectured by Weijun Xu.
Theoretical Machine Learning, lectured by Zhihua Zhang.
Lecturing Part
Mathematical Analysis (II), v1.
Mathematical Analysis (II), v2.
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