Special Topics in Information Science: Applied Experiments and Measurement

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.

Course classes

Instructor Title Year Semester Syllabus
Anjali Oza INF 385T: Special Topics in Information Science: Applied Experiments and Measurement 2024 Spring Term 2024