Computational Modeling

Training for Students and Professionals

2018 Computational Modeling Workshops

Monday May 14 - Friday May 19

Our workshops are designed to introduce students and health professionals to the emerging field of quantitative modeling as it relates to the dynamics of infectious diseases. Through a combination of lecture and laboratory practicums, students are exposed to the advanced techniques of statistics, computer science, and mathematics to help them 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
  • Manipulate and analyze diverse data types


Participants may choose to register for one or both of our two-and-a-half day modules:


  • Introduction to Scientific Programming (Module 1)
  • Introduction to Phylogenetic Comparative Methods (Module 2)


Enrollment is open to the public for a fee (see below). To register, please click on the button to your right. Complete information regarding registration deadlines, payment options, and our cancellation policy are also detailed there.


IDEAS: From Byte to Benchtop to Biosphere

Privacy Policy

(University of Georgia)