Teaching
Teaching
Teaching & learning resources
Courses in statistics, programming, financial modelling, and machine learning.
Financial Statistics (금융통계학)
Open course materials covering financial returns, volatility models, Value at Risk, and simulation methods.
Course materials on GitHub ↗Undergraduate courses
- Applied Statistics (응용통계학)
- Big Data Analytics (빅데이터분석)
- Design and Analysis of Experiments (실험설계와분석)
- Financial Statistics (금융통계학)
- Introduction to Financial Statistics (금융통계학입문)
- Introduction to Statistics (통계학(1))
- Programming for Statistics (통계프로그래밍)
- Statistical Database (통계데이터베이스)
- Statistical Learning (통계적기계학습)
- Statistical Machine Learning (통계머신러닝)
- Statistics Capstone Design (통계캡스톤디자인)
- Stochastic Simulations (확률시뮬레이션)
Graduate courses
- Advanced Big Data Analytics (고급빅데이터분석)
- Applications of Machine Learning (머신러닝의활용)
- Big Data and Data Mining (빅데이터와데이터마이닝)
- Financial Stochastic Modelling (금융확률모형)
- Machine Learning Project in Education (교육머신러닝프로젝트)
- Statistical Data Analysis (통계자료분석)
- Statistical Package Design (통계패키지설계)
- Stochastic Processes (확률과정)
For students
For questions about courses and learning materials, please contact ksublee@yu.ac.kr.