INF 385T: Special Topics in Information Science: Applied Experiments and Measurement

Spring Term 2024
Mode: In-Person
Instructor
Program: MSIS/PhD
Unique ID
27730
Day Start End Building Room
  • Wednesday
  • 6:00 PM
  • 9:00 PM
  • UTA
  • 1.212

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.

Restrictions

Enrollment in Information Studies (INF) courses is restricted to graduate students in the School of Information through registration periods 1 and 2, with outside students only being accepted during period 3.