This course introduces quantitative data collection and analysis as well as communication methods that are fundamental to the natural and social sciences. You will learn about the philosophy of measurement, the nature of error, and the collection and use of qualitative information. The course also introduces analytical techniques including graphical exploration and the statistical methodologies that apply to interpretation of many types of data. Practical exercises provide first-hand experience in methods for collecting sample data on flora and fauna, and in the design and implementation of experiments and surveys. Since effective communication is essential if the results of any research are to be useful, modes of communication - for both technical and lay audiences – are a significant component of the course. Field-based case studies integrate the lecture and reading material as well as providing real-world examples of research and effective team work.

On satisfying the requirements of this course, students will have the knowledge and skills to:

1. demonstrate a conceptual understanding of measurement approaches in ecological studies
2. identify and critically evaluate the main mathematical approaches to describing populations and growth in organisms
3. demonstrate an ability to apply concepts and methods of quantitative analysis, including regression, in the context of environmental data.
4. quantitatively describe linear trends within datasets to effectively summarise quantitative datasets
5. demonstrate a capacity to effectively communicate model outputs to a scientific/management community

• Computer-based quizzes to demonstrate student learning of underlying theories of measurement, graphical/statistical summaries and correlation (3 quizzes, 30%).
• A scientific journal article to demonstrate ability to integrate knowledge of measurement, analysis and presentation to a scientific audience (5 pages, 30%).
• A "plain English" article to demonstrate ability to communicate research findings to a lay audience (2 pages, 10%).
• A group exercise to design ways to collect information from residents, then collect and analyse that information, and finally present their findings (30%). 

65 contact hours, including lectures, practical classes and tutorials.

Bachelor degree;  no specific knowledge required.

No specific knowledge required.

Completion of Bachelor degree.

with FSTY6056 or SRES6103

To be advised.