INFO 6751

INFO 6751

Course information provided by the Courses of Study 2022-2023.

This course will equip students to conduct causal research, with an emphasis on observational settings. The course focuses on defining a causal question, defending causal assumptions, and estimating the target quantity. These steps will be discussed in the potential outcomes framework and the structural causal modeling framework. A theme of the course is that one should design an observational study to mimic a hypothetical randomized experiment. Students will leave the course prepared to evaluate the credibility of causal claims, answer causal questions in their own research, and engage with new methods for causal inference.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: familiarity with basic probability and statistics (e.g., random variables, expectation, confidence intervals).

Outcomes
  • Students will learn to evaluate the credibility of causal claims.
  • Students will learn to answer causal questions in their own research.
  • Students will learn to engage with new methods for causal inference.

View Enrollment Information

Syllabi:
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 17886 INFO 6751   LEC 001

  • Instruction Mode: In Person

Syllabi:
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 17885 INFO 6751   LEC 031

  • Instruction Mode: Distance Learning-Synchronous
    Taught in an NYC. Streaming from Ithaca. Enrollment is limited for Cornell Tech PhD Students only.