Course Description

This course reviews different computational social science methods that are applied under different academic and professional situations. This includes different but complementary methods to format and explore data as tables, maps, graphs, and text. The course also includes basic methods for decision-making support such as optimization and social simulation. The course includes the use of version control applications, as well as promoting the practice of reproducibility and transparency. The course makes use of Python and R, including NetLogo for social simulation, Gephi for network exploration, and Git for version control. Those languages are not a pre-requisite for the course, as they will be used as templates.

Course Reviews

Reviews coming soon.