Although the approach is applied, the basic theory of generalized linear models is presented in a compact way. The exponential family of distributions, response variables as continuous variables and Maximum Likelihood estimation and ways of assessing the fit of the model are discussed. Theory and applications of a more complex nature, like quasi-likelihood procedures, repeated measures models, mixed models and analysis of survival data, is also covered.