This was part of the lab and homework I learned from CPE353.
This course introduces students with fundamental concepts and techniques in design and analysis of experiments and data analysis. Topics include regression analysis, single-factor experiments with analysis of variance, experiments with blocking factors, factorial experiments, two-level factorial and fractional factorial experiments, and response surface methodology.
| Lecture | Topics | Coding Lab |
|---|---|---|
| Lecture 1 | Introduction | No Code |
| Lecture 2 | Multiple linear regression | lect02-lin-reg |
| Lecture 3 | Single-factor experiment (ANOVA) | lect03-anova |
| Lecture 4 | Single-factor experiment (Blocking factors) | lect04-blocking |
| Lecture 5 | Multi-factor experiments (factorial) | lect05-factorial |
| Lecture 6 | Analysis of covariance | lect06-ancova |
| Lecture 7 | Random and mixed effect models | No Code |
| Lecture 8 | Nested designs | lect08-nested-design |
| Lecture 9 | 2k factorial design | lect09-2k-factorial |
| Lecture 10 | Fractional factorial design | No Code |
| Lecture 11 | Project | project |