INFO 3900

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  • Schedule of Classes - January 11, 2024 7:32PM EST
  • Course Catalog - January 11, 2024 7:07PM EST

INFO 3900
Causal Inference

Course information provided by the Courses of Study 2023-2024. Courses of Study 2023-2024 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 Prerequisites: 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: ILRST 3900, STSCI 3900

  • 3 Credits Stdnt Opt

  • 19888 INFO 3900   LEC 001

  •  
    • TR Warren Hall 175
    • Aug 21 - Dec 4, 2023

    • Lundberg, I

      Wang, Y

  • Instruction Mode: In Person
    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.

  • 19889 INFO 3900   DIS 201

  •  
    • W Olin Hall 145
    • Aug 21 - Dec 4, 2023

    • Lundberg, I

      Wang, Y

  • Instruction Mode: In Person

  • 19890 INFO 3900   DIS 202

  •  
    • W Upson Hall 146
    • Aug 21 - Dec 4, 2023

    • Lundberg, I

      Wang, Y

  • Instruction Mode: In Person

  • 19891 INFO 3900   DIS 203

  •  
    • W Upson Hall 152
    • Aug 21 - Dec 4, 2023

    • Lundberg, I

      Wang, Y

  • Instruction Mode: In Person

  • 19892 INFO 3900   DIS 204

  •  
    • W Warren Hall 137
    • Aug 21 - Dec 4, 2023

    • Lundberg, I

  • Instruction Mode: In Person

  • 19893 INFO 3900   DIS 205

  •  
    • W Upson Hall 152
    • Aug 21 - Dec 4, 2023

    • Lundberg, I

      Wang, Y

  • Instruction Mode: In Person