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Focuses on the dynamic processes that affect the spread of infectious disease. Presents basic conceptual approaches and a survey of specific theoretical and computational methods for simulating the spread of diseases. Includes specific topics: simulations of disease in small populations, and of the impacts of interventions; social networks and the links between transmission dynamics and the evolution of pathogens. Includes methods: deterministic, stochastic, age-structured and spatially structured models, social network theory, and other tools of systems epidemiology. Focuses on simple models of transmission and estimation of parameters describing the dynamics of transmission. Constructs students' own simulations of disease transmission. Applies concepts and methods to historical epidemics, current emerging diseases, and diseases of international public health importance.