INFO 6751
Last Updated
- Schedule of Classes - April 13, 2023 2:00PM EDT
- Course Catalog - April 12, 2023 7:14PM EDT
Classes
INFO 6751
Course Description
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.
Regular Academic Session.
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- TR Bill and Melinda Gates Hll 310
- Aug 22 - Dec 5, 2022
Instructors
Lundberg, I
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Additional Information
Instruction Mode: In Person
Regular Academic Session.
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
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Meeting Pattern
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TR
Bloomberg Center 398
Cornell Tech - Aug 22 - Dec 5, 2022
Instructors
Lundberg, I
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TR
Bloomberg Center 398
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Additional Information
Instruction Mode: Distance Learning-Synchronous
Taught in an NYC. Streaming from Ithaca. Enrollment is limited for Cornell Tech PhD Students only.
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