This course introduces generalized linear models which are a natural generalization of classical linear models. They include as special cases linear regression model, logit and probit models for binomial responses, and multinomial response models. Generalized linear models are applicable in a wide variety of subject areas, and should be considered whenever the assumptions of the classical linear model are invalid.