Classes taught at CUEB

大数据统计理论与方法前沿（英文） - 2024春季博士生课程

数值分析 - 2024春季本科生课程

数据挖掘与机器学习 - 2023秋季博士生课程

大数据预处理 - 2023秋季本科生课程

Linear Algebra 线性代数 - Spring 2023 Undergraduate Level

  • Topics Covered: matrices, four subspaces of matrix, linear equations, matrix Decomposition (spectral decomposition,SVD), vector spaces, norms, etc.

Classes taught/TA at Texas A&M University

STAT 650: Statistical Foundation For Data Science-Fall 2019, 2020, 2021 Graduate Level

  • Introduction to both probability and statistics with emphasis on applications in data science.
  • Topics Covered: probability theory, statistical inference, multivariate statistics, regression and model selection.

STAT 302: Statistical Methods- Fall 2016, 2017, Spring 2017 Undergraduate level

  • Calculus-based introduction to probability and distributions; sampling and descriptive measures; inference and hypothesis testing; analysis of variance; linear regression.

STAT 630: Overview of MATH STAT- Spring 2016 Graduate Level

  • Introduction to mathematical statistics.
  • Topics Covered: basic probability theory and statistical inference from the likelihood point of view and Bayesian methods.