The aim of this module is to acquire skills needed to collect, manipulate and perform statistical analysis of the kinds of data that typically underpin...

Computational Methods in Biodiversity Research (BIOS0002)

The aim of this module is to acquire skills needed to collect, manipulate and perform statistical analysis of the kinds of data that typically underpin scientific research in biodiversity, evolution and conservation, and also qualitative methods applied in the social sciences and citizen science research as appropriate for your programme.

After taking the module you will be able to:

Understand basic field techniques and experimental design.
	Retrieve, view, manage and manipulate scientific data.
	Describe data using statistics, and to construct, implement and understand basic hypothesis testing.
	Understand different types of statistical and mathematical models.
	For students based on the Bloomsbury campus, the course starts with a 2-3 day field trip to the UCL Blakeney Point field station, for which travel, accommodation, and standard meals are financially covered. Students are encouraged to wear walking boots, warm clothes, and bring a sleeping bag and pillow, and any snacks (which will not be provided as part of the course).

	
		For UCL East students, fieldwork will take place on campus in and around our Living Lab – the Queen Elizabeth Olympic Park. Students are encouraged to wear walking boots and warm clothes.

		
			Fieldwork will be followed by lectures and practical sessions delivered by academics from within UCL and the Zoological Society of London. You will design and conduct a basic field experiment, then learn how to manipulate, visualise and analyse the data you have collected, using standard, freelyavailable computer programming languages.

This optional module provides knowledge of the mechanisms underlying emotion and its interaction with learning, memory and decision-making. Specific areas to...

Neuroscience of Emotion and Decision-Making (PSYC0088)