HD 6610

HD 6610

Course information provided by the 2022-2023 Catalog.

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.


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

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.

Distribution Category (SBA-HE)

When Offered Spring.

View Enrollment Information

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

  • 3 Credits Opt NoAud

  • 18235 HD 6610   SEM 101

  • Instruction Mode: In Person

    Restricted to PhD students. Other students may be considered on a case-by-case basis by permission of instructor.

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

  • 3 Credits Opt NoAud

  • 19592 HD 6610   SEM 131

  • Instruction Mode: Distance Learning-Synchronous

    Taught in NYC. Enrollment limited to Cornell Tech Students.