Materials of Selected Courses

List of All Taught Courses

His teaching is featured by incorporating cutting-edge computational/data science techniques and real-world examples into classes.

He introduces his students to computational tools such as R, R Markdown, python, and web-based computation for analyzing real datasets, developing statistical packages, and sharing analysis results. He has created web pages using R Markdown for all his classes on introductory and applied statistics and provided the source code for students to learn these tools.
He employs computational simulation and animation tools to elucidate statistical theorems and computer algorithms.
He is also committed to using real-world examples in his classes. For instance, he used data on SK’s COVID-19 vaccination and hospitalization rates to demonstrate the power of Bayes' rule for understanding the efficacy of vaccination.
He actively involves undergraduate students in his research. In 2021, he led a team supported by MITACS to develop a public website that provides real-time reproduction rates for Canada’s national and provincial jurisdictions. He has also involved undergraduate students in building R packages (e.g. HTLR) for statistical machine learning.