In this module you will learn key concepts that underpin ecological theory and the structure of
ecological systems, and integrate this knowledge with methods...

Foundations in Ecology and Ecological Monitoring (BIOS0003)

In this module you will learn key concepts that underpin ecological theory and the structure of
ecological systems, and integrate this knowledge with methods in environmental and biodiversity
monitoring, from populations to ecosystems. You will understand the range of survey and statistical
methodologies used and how data from different sources can be applied to biodiversity surveying
and monitoring, for example remote sensing, and aquatic, terrestrial, and aerial data acquisition
including acoustics, cameras, eDNA, and citizen science data. You will also be introduced to how AI
and other statistical methods are being used to process and analyse these big biodiversity data.
Applying newly developed ecological insight and a grasp of survey and monitoring methodologies,
you will complete this module knowing how to apply the right tools, to collect the most informative
data, within the appropriate ecological context. Key subject areas will include:
Ecological theory
Population dynamics
Landscape ecology
Survey design and sampling
Survey techniques
GIS
Biodiversity data modelling
Survey and sensor technology
 Citizen Science
Ecological applications

The primary aim of BIOL0019 is to enable students to undertake an individual research project of 9 weeks (full time equivalent) duration under the supervision...

Advanced Research Project in Biological Sciences (BIOL0019)

The primary aim of BIOL0019 is to enable students to undertake an individual research project of 9 weeks (full time equivalent) duration under the supervision of an academic in the Department of GEE (UCL), its associated departments (UCL) and affiliated Institutions. Projects can be based on experimental research in a wet or dry lab, and may include field work, theoretical or data analysis. BIOL0019 does not have lectures beyond an introductory lecture, and a ‘how to write up your project’ lecture.

Learning Objectives

You will be given the opportunity to learn how to:

formulate specific hypotheses,
	design experiments to test these hypotheses,
	analyse experimental results using statistics,
	interpret these and compare them with published findings,
	write up research in the style of an article for a scientific journal,
	orally present your project findings,
	organise your time in order to deliver a completed project by the specified deadline.
Please note that you will be asked to indicate preferred topics from the list provided by the Project Tutor. The Project Tutor, in conjunction with the allocation committee, will then assign specific projects within these topics. Guidance on selecting topics will be available from the 3rd Year Tutor and the Project Tutor. It may be an option for you to design your own project with a supervisor of your choice at UCL. Projects cannot be designed with supervisors from other Universities. All projects must be agreed by the Project Tutor.