This course introduces the core theoretical foundations and practical applications of econometrics. Topics include the formulation of econometric models, statistical inference, hypothesis testing, and estimation methods, with a focus on Ordinary Least Squares (OLS) and Maximum Likelihood (ML) estimation.

This course is designed to develop students' theoretical understanding and practical skills in econometrics. By the end of the course, students will be able to understand the fundamental assumptions and statistical properties of econometric models, use statistical software (e.g., R) to perform empirical data analysis, and independently conduct a basic empirical research project with appropriate interpretation of the estimation results.