Teaching Activities of Prof. Longhai Li

Overview

Prof. Li’s teaching integrates cutting-edge computational data science tools with practical real-world applications. He trains students in modern programming languages and reproducible reporting frameworks, utilizing dynamic simulations to make complex statistical theorems accessible. Additionally, he extends learning beyond the classroom by actively involving undergraduate students in hands-on research projects and the development of open-source statistical software.

Textbooks

Theory of Statistical Inference

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Theory of Linear Models

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Statistical Inference and Learning Methods for Research

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Materials of Selected Courses

STAT 245: Introduction to Statistical Methods

STAT 342: Mathematical Statistics

STAT 345/834: Design and Analysis of Experiments

STAT 348: Sampling Techniques

STAT 812/420: Computational Statistics

STAT 845: Statistical Methods for Research

STAT 850/442: Statistical Inference

STAT 851/443: Linear Statistical Models

List of Taught Courses

Applied Statistics	Statistical Theory and Algorithms
STAT 244: Elementary Statistical Concepts	STAT 241: Probability Theory
STAT 245: Introduction to Statistical Methods	STAT 242: Statistical Theory and Methodology
STAT 345: Design and Analysis of Experiments	STAT 342: Probability and Mathematical Statistics
STAT 348: Sampling Techniques	STAT 442/850: Statistical Inference
STAT 834: Advanced Experimental Design	STAT 443/851: Linear Statistical Models
STAT 845: Statistical Methods for Research	STAT 420/812: Computational Statistics
STAT 848: Multivariate Data Analysis	STAT 841: Probability Theory