STAT 385
METHODS OF DATA ANALYSIS AND SYSTEM OPTIMIZATION
The three general areas covered in this methodology oriented course are (a) statistical methods, including regression, sampling, and experimental design; (b) simulation based methods in statistics, queuing and inventory problems; (c) an introduction to optimization methods. Excel serves as the basic computing software.
Prerequisites & course information
Short Title: METHODS FOR DATA ANALYSIS Department: Statistics Grade Mode: Standard Letter Course Type: Lecture/Laboratory Credit Hours: 4 Restrictions: Enrollment is limited to Undergraduate, Undergraduate Professional or Visiting Undergraduate level students. Course Level: Undergraduate Upper-Level Prerequisite(s): STAT 180 or STAT 280 or STAT 305 or STAT 310 or ECON 307 or STAT 312 or STAT 315 or DSCI 301
Sources
- Course catalogue ↗2026–2027