2025-Fall@CWNU

1. Statistical Computing 1 (undergraduate) - Python programming

2. Time Series Analysis (undergraduate)

3. Deep Learning (undergraduate) 

2025-Spring@CWNU

1. Statistical Computing 2 (undergraduate) - random number generating, resampling, EM algorithm, Monte Carlo method, MCMC, ... 

2. Exploratory Data Analysis with R (undergraduate) - visualization, shiny. ex1 (김O원 학생 作), ex2 (김O연 학생 作).

3. Big Data Analysis (undergraduate) - machine learning: (non)linear regression, LDA/QDA, ensemble (random forest, boosting), neural networks

2024-Fall@UOS

1. Convex Optimization (graduate)

2024-Spring@UOS

1. Python Programming (graduate)

2023-Fall@UOS

1. Data Visualization (graduate)

2023-Spring@UOS

1. Introduction to Statistics (undergraduate)

2. Python and Deep Learning Programming (graduate)