Overview
Academic contacts
Requisites
Other learning activities
Learning activities
Learning outcomes
Organise and manipulate data to extract and interpret categories and patterns embedded within diverse biological datasets, to identify detailed relationships and structures within the data.
Analyse relationships and identify correlations and trends between biological variables, focusing on practical implications rather than statistical intricacies.
Apply multidimensional relationship analysis to recognise and elucidate complex relationships among multiple biological variables.
Demonstrate the practical application of a diverse range of analytical methods, both parametric and non-parametric to extract insights from complex biological data, emphasising real-world relevance over statistical details.
Develop research design skills (experimental and survey design) for biological and ecological research, and execute a practical field-based research project from design, data collection, data analysis through to interpretation of findings, ensuring methodologies align with real-world challenges in natural systems.
Integrate and synthesise information from varied sources, perspectives and sampling programs, using techniques to uncover overarching trends and novel perspectives in biological data.
Assessments
Additional information
This unit will explore ecological information in depth; examining patterns in data related to life sciences; examining assumptions and biometric terms; evaluating how often different values occur; drawing conclusions from data; examining the connection and relationships between variables; detecting trends; identifying alternative methods for data analysis; exploring circular data patterns; organising biological information into groups; introducing techniques for handling multiple variables; utilising software tools for managing, analysing and visually presenting biological and environmental information; planning research approaches for those in the fields of biology and ecology.