Info 290

Experiments and Causal Inference

3 units

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This course is not currently offered.

Course Description

This course introduces students to experimentation in the social sciences. This topic has increased considerably in importance since 1995, as researchers have learned to think creatively about how to generate data in more scientific ways, and developments in information technology have facilitated the development of better data gathering. Key to this area of inquiry is the insight that correlation does not necessarily imply causality. In this course, we learn how to use experiments to establish causal effects and how to be appropriately skeptical of findings from observational data.

Currently listed as Info 241.


INFO 271B or equivalent graduate-level coursework in statistics or econometrics.

Requirements Satisfied

Ph.D. Major/Minor Areas — Social Aspects of Information

Last updated:

July 6, 2022