INFO 1340

INFO 1340

Course information provided by the 2025-2026 Catalog.

A fast-paced, intro-level class on data science, text analysis, and AI in the humanities. The course examines how computational methods can help analyze millions of books; how data and machine learning have changed the questions humanists can ask (and answer); what it means to do research in literary studies, history, and related disciplines; and what challenges lie ahead. Assigned readings drawn mostly from recent research papers. Technical material introduced as needed. Suitable for students in all programs and colleges. No programming or other prerequisites.


Distribution Requirements (ALC-AS, SDS-AS)

Last 4 Terms Offered (None)

Learning Outcomes

  • Identify and describe the distinctive features of humanities research.
  • Explain and evaluate datasets and computational methods suitable for the analysis of large, book-based corpora.
  • Summarize, evaluate, and adapt research results in the computational humanities to new problem domains.
  • Design computational humanities research protocols for future implementation.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: ENGL 1340

  • 3 Credits Opt NoAud

  • 18050 INFO 1340   LEC 001

    • MW
    • Jan 20 - May 5, 2026
    • Thomas, L

      Wilkens, M

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/