INFO 3900

Last Updated

  • Schedule of Classes - March 20, 2026 3:39PM EDT

INFO 3900
Causal Inference

Course information provided by the 2026-2027 Catalog.

Causal claims are essential in both science and policy. Would a new experimental drug improve disease survival? Would a new advertisement cause higher sales? Would a person's income be higher if they finished college? These questions involve counterfactuals: outcomes that would be realized if a treatment were assigned differently. This course will define counterfactuals mathematically, formalize conceptual assumptions that link empirical evidence to causal conclusions, and engage with statistical methods for estimation. Students will enter the course with knowledge of statistical inference: how to assess if a variable is associated with an outcome. Students will emerge from the course with knowledge of causal inference: how to assess whether an intervention to change that input would lead to a change in the outcome.


Prerequisites STSCI 2100 or PSYCH 2500 or SOC 3010 or ECON 3110 or equivalent.

Distribution Requirements (DLS-AG), (ICE-IL, STA-IL)

Last 4 Terms Offered 2025FA, 2024FA, 2023FA

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 3900, STSCI 3900

  • 3 Credits Stdnt Opt

  • 10057 INFO 3900   LEC 001

  •  
    • TR
    • Aug 24 - Dec 7, 2026

    • Wang, Y

      Yu, C

  • Instruction Mode: In Person

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

  • 10058 INFO 3900   DIS 201

  •  
    • W
    • Aug 24 - Dec 7, 2026

    • Wang, Y

      Yu, C

  • Instruction Mode: In Person

  • 10059 INFO 3900   DIS 202

  •  
    • W
    • Aug 24 - Dec 7, 2026

    • Wang, Y

      Yu, C

  • Instruction Mode: In Person

  • 10060 INFO 3900   DIS 203

  •  
    • W
    • Aug 24 - Dec 7, 2026

    • Wang, Y

      Yu, C

  • Instruction Mode: In Person

  • 10061 INFO 3900   DIS 204

  •  
    • W
    • Aug 24 - Dec 7, 2026

    • Wang, Y

      Yu, C

  • Instruction Mode: In Person

  • 10062 INFO 3900   DIS 205

  •  
    • W
    • Aug 24 - Dec 7, 2026

    • Wang, Y

      Yu, C

  • Instruction Mode: In Person