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Nature-Smart Challenge (BIOS0033)

Key information

Faculty
Faculty of Life Sciences
Teaching department
Division of Biosciences
Credit value
15
Restrictions
This module is restricted to students on MSc Ecology and Data Science.
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

This applied project-based module will see you working in groups to implement the skills you learn in 'Technology from Nature' and 'AI for the Environment'. You will work together with an internal or external industry partner to address a real-world problem related to biodiversity, climate change, or the environment. You will develop a solution and manage the whole process from conceptual design to pitching your solution to an invited Nature- Smart audience. Teamwork and communication are important skills that require experience and practice, and you will explore roles, responsibilities, and how to work effectively as part of a group. You will also develop your understanding of project planning, funding, legacy, and science communication. Lectures, problem classes and workshops will cover:

  • Teamwork and leadership
  • Project management
  • Funding
  • Science communication
  • Theories of change

This module will provide the opportunity to make meaningful contacts in research and industry from both ¹û¶³Ó°Ôº and via external partners, through which in may also be possible to develop ideas and collaborate for your Term 3 research project.

Learning outcomes:

Upon completion of this module, you will be able to:

  • Show creative thinking in the design and application of solutions to ecological, biodiversity, climate change, and environmental problems.
  • Evaluate the practical parameters within which ecological, biodiversity, and environmental questions/problems can be answered.
  • Produce a collaboratively developed funding proposal to support a co-designed project.
  • Explain and communicate complex ideas, problems, and solutions to lay and expert audiences.
  • Evaluate and encourage behaviours which contribute to successful group work.

Module deliveries for 2024/25 academic year

Intended teaching term: Term 2 ÌýÌýÌý Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Intended teaching location
¹û¶³Ó°Ôº East
Methods of assessment
100% Other form of assessment
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
44
Module leader
Dr Izzy Bishop
Who to contact for more information
biosciences.ucleast@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

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