Infectious diseases intelligence refers to the understanding of epidemic patterns and the application of this knowledge to effective disease control. Infectious diseases contribute significantly to the global burden of disease and remain leading causes of death across the world. Emerging and re-emerging infections such as pandemic influenza, Ebola, dengue, chikungunya and MERS Corona Virus (CoV) pose an additional public health challenge and require coordinated and systematic disease control responses. A multi-disciplinary, public health approach is needed to understand the requirements for infectious diseases control at a population level. This course uses case studies to teach epidemiologic disease pattern recognition, identification of aberrant patterns, and interpretation of epidemic and surveillance data to inform disease control. An overview of field epidemiology methods and mathematical modeling of infectious diseases will also be provided. Case studies will include H7N9, MERS coronavirus and a salmonella outbreak. The course will run as an intensive workshop in summer session.