HD 6610

HD 6610

Course information provided by the Courses of Study 2019-2020.

This is a course on networks and text in quantitative social science. The course will cover published research using text and social network data, focusing on health, politics, and everyday life, and it will introduce methods and approaches for incorporating high-dimensional data into familiar research designs. Students will evaluate past studies and propose original research.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: HD 6760 or GOVT 6029 or SOC 6020 or equivalent.

Distribution Category (SBA-HE)

Outcomes
  • Learn to critically evaluate empirical research that uses text as data or social network analysis.
  • Connect fundamentals of research design to high-dimensional data analysis.
  • Develop verbal and written skills via in-class discussion, presentations, and written assignments.
  • Learn to represent complex relationships quantitatively and conduct high-dimensional data analyses using statistical programming.
  • Learn methods for avoiding over-fitting in high-dimensional data analysis.

View Enrollment Information

Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Combined with: GOVT 6619SOC 6610

  • 3 Credits Opt NoAud

  • 16108HD 6610  SEM 101