Classes taught at CUEB
- Foundation of Statistical Programming （统计编程基础) - 2024/2025/2026 Fall Undergraduate Level
- Machine Learning and Data mining (数据挖掘与机器学习) - 2023/2024/2025/2026 Fall Graduate Level
- Numerical Analysis （数值分析) - 2024/2025/2026 Spring Undergraduate Level
- Advanced Statistical Learning: Theory and Methods (大数据统计理论与方法前沿 - 2024/2025 Spring Graduate Level
- Big Data Preprocessing (大数据预处理) - 2023/2024 Fall Undergraduate Level
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.