17-611 Statistics for Decision Making

6 units, Carnegie Mellon University

Measurements and their analysis play a critical role in effective and efficient software development, the construction of data driven applications, as well as provide the scientific basis for software engineering to become a true engineering discipline. This course combines a refresher in basic statistics techniques with an introduction to measurement theory to enable students define valid measurements in their domain of application. After completing this course, students will be capable of creating operational definitions for the measurements, establish the validity of the chosen constructs, design appropriate scales for them and select the right tools to describe typical values, their dispersion and test their significance.

Prerequisites: none listed

Offered: Fall 2026, Fall 2025

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