The official syllabus, which gives requirements, learning objectives, and grading mechanisms, is available here. This website only includes links to the reading and lecture content – the course structure is mapped out fully on the Canvas homepage.
Readings
Readings refer to the 10th edition1 of Design and Analysis of Experiments by Douglas Montgomery
| Week | Topic | Reading |
|---|---|---|
1  |
Basic principles & examples | 1.1 - 1.4 |
2  |
Sampling distributions, difference in means, pairing | 2.1 - 2.5 |
3  |
ANOVA, model checking, multiple comparisons | 3.1 - 3.5 |
4  |
Computer examples, random effects, nonparametric approaches | 3.6 - 3.11 (except 3.10) |
5  |
Randomized complete block design, Latin Squares design | 4.1 - 4.3 |
| 6 |
Balanced incomplete block designs, and Factorial Design Intro | 4.4.1, 5.1 - 5.2 |
7  |
Two and general factorial design, intro to response curves | 5.3 - 5.5 |
8  |
Intro to \(2^k\) designs | 6.1 - 6.4 |
9  |
Examples of \(2^k\) designs | 6.5 - 6.6 |
10  |
Properties of \(2^k\) designs, fractional factorial designs | 6.7 - 6.9, 8.1 - 8.2 |
11  |
More fractional factorial designs | 8.3 - 8.7 (except 8.5) |
12  |
Response surfaces | 11.1 - 11.4.2 |
13  |
More response surfaces | 11.4.3 - 11.6 |
14  |
Nested and split plot designs | 14.1 - 14.4 |
Lectures
Notes are listed here. Source code and links to recorded videos are listed at the top of each set of lecture notes.