ILRST 3900

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ILRST 3900

Course information provided by the Courses of Study 2024-2025. Courses of Study 2024-2025 is scheduled to publish mid-June.

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.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: STSCI 2110 or PSYCH 2500 or SOC 3010 or ECON 3110 or equivalent. 

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: INFO 3900STSCI 3900

  • 3 Credits Stdnt Opt

  • 19930 ILRST 3900   LEC 001

    • TR
    • Aug 26 - Dec 9, 2024
    • Cortez-Rodriguez, M

      Wang, Y

  • For Bowers CIS Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 19931 ILRST 3900   DIS 201

    • W
    • Aug 26 - Dec 9, 2024
    • Cortez-Rodriguez, M

      Wang, Y

  • 19932 ILRST 3900   DIS 202

    • W
    • Aug 26 - Dec 9, 2024
    • Cortez-Rodriguez, M

      Wang, Y

  • 19933 ILRST 3900   DIS 203

    • W
    • Aug 26 - Dec 9, 2024
    • Cortez-Rodriguez, M

      Wang, Y

  • 19934 ILRST 3900   DIS 204

    • W
    • Aug 26 - Dec 9, 2024
    • Cortez-Rodriguez, M

      Wang, Y

  • 19935 ILRST 3900   DIS 205

    • W
    • Aug 26 - Dec 9, 2024
    • Cortez-Rodriguez, M

      Wang, Y