Faculty of Agricultural, Life and Environmental Sciences
Focuses on problem formulation, method selection, and interpretation of statistical analysis. Covers data management and data visualization, statistical tests for parametric, nonparametric and binomial data, linear and non-linear regression approaches. Participants engage in problem-based learning by analyzing data from their thesis research project. Students without a suitable dataset should enroll in two or more 1 unit REN R 58X courses instead. Prerequisite: 3 units in introductory statistics recommended.
| Section | Capacity | Class times | Instructor(s) |
|---|---|---|---|
|
LECTURE 700
(51195) |
20 |
2024-09-03 - 2024-12-09
TBD
|
Assistant Instructor: Fiona Schmiegelow
Primary Instructor: Kathryn Aitken
|
|
LECTURE 800
(51305) |
5 |
2024-09-03 - 2024-12-09 (T)
08:00 - 09:20
ONLINE
|
Primary Instructor: Andreas Hamann
|
|
LECTURE A1
(49686) |
8 |
2024-09-03 - 2024-12-09 (TR)
08:00 - 09:20
GSB 8-66
|
Primary Instructor: Andreas Hamann
|
| Section | Capacity | Class times | Instructor(s) |
|---|---|---|---|
|
LAB 701
(51257) |
20 |
2024-09-03 - 2024-12-09
TBD
|
Assistant Instructor: Fiona Schmiegelow
Primary Instructor: Kathryn Aitken
|
|
LAB 801
(51306) |
5 |
2024-09-03 - 2024-12-09 (R)
12:30 - 13:50
ONLINE
|
Primary Instructor: Andreas Hamann
|
|
LAB D1
(49687) |
8 |
2024-09-03 - 2024-12-09 (R)
12:30 - 13:50
GSB 8-66
|
Primary Instructor: Andreas Hamann
|