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INF 385T : Special Topics in Information Science: Applied Experiments and Measurement
Areas
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.
| Instructor | Topic Title | Year | Semester | Syllabus |
|---|---|---|---|---|
| Anjali Oza | Applied Experiments and Measurement | 2024 | Spring | Syllabus |
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