1. Introduction. Concepts and applications of epidemiology. Non-experimental and experimental neuroepidemiology. 2. Sources of data in epidemiology. Demography and health. Morbidity and mortality. 3. Descriptive epidemiology. Ecological studies. Standardisation of rates. Measures of association. 4. Analytical epidemiology. Cohort studies, cross-sectional studies, clinical trials and intervention trials. Statistical significance. 5. Selection, information and confounding biases. 6. Social epidemiology, public health. Epidemiological surveillance and disease control. 7. Early detection of diseases. Evaluation of new diagnostic, therapeutic, preventive and prognostic procedures. 8. Genetic epidemiology and molecular epidemiology. Introduction to Environmental Epidemiology.

Classroom lectures. Face-to-face classes: reduced (workshops, seminars, case studies). Student individual work. Final exam. Seminars and lectures supported by computer and audiovisual aids. Practical learning based on cases and problems, and exercise resolution. Individual and group or cooperative work with the option of oral or written presentation. Individual and group tutorials to resolve doubts and queries about the subject.