Faculty of Agricultural, Life and Environmental Sciences
Concepts and application of analysis of variance to experimental data, including blocked, nested, factorial and split plot designs, and repeated measures. Covers the concepts of fixed and random effects, multiple comparisons, analysis of covariance. Participants learn how to design and evaluate complex field and laboratory experiments with open-source software packages. Prerequisite: knowledge equivalent to REN R 581 and REN R 582 is required.
| Section | Capacity | Class times | Instructor(s) |
|---|---|---|---|
|
LECTURE B1
(10213) |
40 |
2024-03-04 - 2024-04-12 (MWF)
10:00 - 10:50
GSB 8-59
|
Primary Instructor: Jaime Pinzon
|
| Section | Capacity | Class times | Instructor(s) |
|---|---|---|---|
|
LAB H1
(10214) |
40 |
2024-03-04 - 2024-04-12 (R)
08:00 - 10:50
ECHA L1-250
|
Primary Instructor: Jaime Pinzon
|
| Section | Capacity | Class times | Instructor(s) |
|---|---|---|---|
|
LECTURE B1
(70184) |
40 |
2025-02-24 - 2025-04-09 (MWF)
10:00 - 10:50
GSB 8-59
|
|
| Section | Capacity | Class times | Instructor(s) |
|---|---|---|---|
|
LAB H1
(70185) |
40 |
2025-02-24 - 2025-04-09 (R)
08:00 - 10:50
ECHA L1-250
|
|