Our computational workshops consist of two hands-on intensive modules involving a combination of lecture and laboratory practicums, providing students and research professionals with the background they need to frame biological questions in mathematical parlance, embark on analyses of these models, and work with a diverse array of data using advanced computational methods. Upon completion, attendees should be able to write code in R to perform research analysis, create reproducible workflows, extend understanding through independent study using web-based resources, express hypotheses as mathematical models, and manipulate and analyze diverse data types.
Topics: Ecology, Infectious Disease, Infectious Diseases, Mathematical Modeling, Statistics, Epidemiology, Biostatistics