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, non-parametric and binomial data, linear and non-linear regression approaches. Participants will gain general statistical literacy and learn how to visualize and analyze data with open-source software packages. Prerequisite: 60 units. 3 units in introductory statistics recommended.
Section | Capacity | Class times | Instructor(s) |
---|---|---|---|
LECTURE 700
(49293) |
20 |
2024-09-03 - 2024-12-09
TBD
|
Assistant Instructor: Fiona Schmiegelow
Primary Instructor: Kathryn Aitken
|
LECTURE 800
(51303) |
5 |
2024-09-03 - 2024-12-09 (T)
08:00 - 09:20
ONLINE
|
Primary Instructor: Andreas Hamann
|
LECTURE A1
(46203) |
12 |
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
(49310) |
20 |
2024-09-03 - 2024-12-09
TBD
|
Assistant Instructor: Fiona Schmiegelow
Primary Instructor: Kathryn Aitken
|
LAB 801
(51304) |
5 |
2024-09-03 - 2024-12-09 (R)
12:30 - 13:50
ONLINE
|
Primary Instructor: Andreas Hamann
|
LAB D1
(46204) |
12 |
2024-09-03 - 2024-12-09 (R)
12:30 - 13:50
GSB 8-66
|
Primary Instructor: Andreas Hamann
|