Workshop Employs Lessons from Epidemics to Enhance Computer Science Classes
Computer science educators will soon gain valuable insights from computational epidemiology courses, like one offered at Georgia Tech. B. Aditya Prakash is part of a research group that will host a workshop on how topics from computational epidemiology can enhance computer science classes.
These lessons would produce computer science graduates with improved skills in data science, modeling, simulation, artificial intelligence (AI), and machine learning (ML). Because epidemics transcend the sphere of public health, these topics would groom computer scientists versed in issues from social, financial, and political domains.
These lessons would produce computer science graduates with improved skills in data science, modeling, simulation, artificial intelligence (AI), and machine learning (ML). Because epidemics transcend the sphere of public health, these topics would groom computer scientists versed in issues from social, financial, and political domains.