911±¬ÁÏÍø

XClose

UCL Module Catalogue

Home
Menu

Technology for Nature (BIOS0031)

Key information

Faculty
Faculty of Life Sciences
Teaching department
Division of Biosciences
Credit value
15
Restrictions
N/A
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

In Technology for Nature you will explore the use, design, deployment, and practicalities of different sensor systems for observing and monitoring wildlife to understand how species, populations, communities, and habitats respond to environmental pressures such as anthropogenic climate change, and ecological drivers of biodiversity decline including urbanisation, and habitat loss. You will learn the theory behind different sensors and their modalities which will be supported by hands-on sessions enabling you to get to grips with the hardware involved, as well as managing appropriate deployment and data collection and analyses in the Queen Elizabeth Olympic Park—our living lab.

Learning Outcomes

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

  • Relate sensor technologies to their appropriate application, deployment, and scale
  • Identify the constituent parts of different sensor systems
  • Explain how to process, visualise, and analyse data from sensors and sensor systems
  • Discuss knowledge of ethical issues surrounding the practical aspects of sensor deployment and data collection
  • Explain and discuss the intellectual and technical challenges in designing and deploying bespoke solutions
  • Produce a context-specific design for a practical application

Content

The module runs over 10 weeks (not including reading week) in Term 2 and consists of lectures, workshops and practical sessions delivered by academics and industry colleagues at the forefront of technological approaches to different methods of sensing from across UCL and our partner organisations ZSL, and NHM.

With a strong emphasis on group-work, module assessment is both formative and summative, providing opportunities for peer feedback as well as reflective and independent learning.

Key subject areas will include:

  • Citizen science
  • Mobile phone applications
  • Ethics and sensing
  • Sensor kits and IoT
  • Visual sensing
  • Bioacoustic sensing
  • Environmental DNA
  • Remote sensing
  • Tags, readers, and antennae
  • Data exploration and visualisation

Module deliveries for 2024/25 academic year

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

Teaching and assessment

Mode of study
In person
Intended teaching location
UCL East
Methods of assessment
80% Other form of assessment
20% Coursework
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
0
Module leader
Dr Joanne Littlefair
Who to contact for more information
biosciences.ucleast@ucl.ac.uk

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

Teaching and assessment

Mode of study
In person
Intended teaching location
UCL East
Methods of assessment
80% Other form of assessment
20% Coursework
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
61
Module leader
Dr Joanne Littlefair
Who to contact for more information
biosciences.ucleast@ucl.ac.uk

Last updated

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

Ìý