DATASCI 470
Introduction to the Design of Experiments
Introduces students to basic concepts for planning experiments and to efficient methods of design and analysis. Topics covered include concepts such as randomization, replication and blocking; analysis of variance and covariance and the general linear model; factorial and fractional factorial designs, blocked designs, and split-plot designs.
Topics
- concepts such as randomization
- replication and blocking
- analysis of variance and covariance and the general linear model
- factorial and fractional factorial designs
- blocked designs
- and split-plot designs
Topics explicitly listed in official catalogue description
Prerequisites & course information
Linear Regression (STATS 401 or STATS 413 or Econ 452 or IOE 366). (Prerequisites enforced at registration.) (4). (BS). May not be repeated for credit.
Sources
- Course catalogue ↗2026-2027
- Catalogue entry ↗
Catalogue variants
- Introduction to the Design of Experiments · 4 · Graduate credit