Program: MSIS/PhD
Catalog Description
Explore hypothesis generation, design and set up of experiments (AB tests), quasi-experimental methods (regression, matching, heterogeneous treatment effects, etc.), interpreting results and uncertainty, and communicating insights to various audiences; with a focus on impacting practical business and product decisions.
Prerequisites
Graduate standing.
Scheduled and Upcoming Classes for this Course
No upcoming classes are scheduled for this course.
Past Classes for this Course
| Class Name | Semester | Day(s) | Start Time(s) | End Time(s) | Building | Room |
|---|---|---|---|---|---|---|
| INF 385T: Special Topics in Information Science: Applied Experiments and Measurement
Anjali Oza Syllabus |
Spring Term 2024 |
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