Linear and generalized linear models, which have been widely used in the analysis of field trials and breeding studies, are useful tools for agronomic research. The primary focus of this course is to introduce fundamental theory and practical techniques of regression analysis. Several important topics, including parameter estimation, hypothesis testing, model selection and diagnostics, will be covered. In addition, two generalized linear models, including logistic and Poisson regression models, will be introduced for analyzing different types of data. Students will also learn how to use R to analyze real-world data. After successfully completing this course, students will be able to address real-world research issues using regression analysis and interpret the analysis results appropriately.