Computation in Psychology
The quantitative analysis and management of biological data is crucial in modern life sciences disciplines. Students will develop skills with R as applied to problems in ecology and evolutionary biology to learn reproducible approaches for data management, data manipulation, visualization, modelling, statistical analysis, and simulation for solving biological problems.
Prerequisites & course information
Prerequisite: BIO220H1 , EEB225H1 / ECO220Y1 / ECO227Y1 / GGR270H1 / STA220H1 / STA257H1 / STA288H1 / STAB22H3 / STAB57H3 / STA215H5 / STA220H5 / PSY201H1; Prerequisite:; Exclusion: PSY305H1; Exclusion:; Prerequisite: PSY202H1 / ECO220Y1 / SOC252H1 / STA221H1 / ECO220Y5 / PSY202H5 / STA221H5 / PSYB06H3 / PSYC08H3 / STAB27H3 / STAC32H3; Prerequisite:; Exclusion: EEB313H1; Exclusion:; Prerequisite: PSY202H1 / ECO220Y1 / SOC252H1 / STA221H1 / ECO220Y5 / PSY202H5 / STA221H5 / PSYB06H3 / PSYC08H3 / STAB27H3 / STAC32H3; Prerequisite:
Sources
- Course catalogue ↗2026-2027
Catalogue variants
- Computation in Psychology · 0.5 · Undergraduate