- View more resources from this publisherBiotechnology and Biological Sciences Research Council (BBSRC) - UKRI
Biomaths
Linked to cutting edge research, these resources are designed to be delivered as either a maths or science lesson. There are four lessons which can be used separately:
- Strategic sampling – find the infected ash tree with vectors
- Observing behaviour – measuring bee flight using Pythagoras’ theorem
- Mark-recapture – predicting and protecting our pollinators using variance and standard deviation
- Experimental design – find out what Spanish slugs prefer to eat using factorials and statistics
Maths is essential in bioscience research, and cross-curricular links between biology and maths benefit the learning of both subjects. Mathematical skills are increasingly required by biologists tackling complex problems and analysing large amounts of data. This resource will provide contexts for learning essential maths techniques and will enrich science lessons by outlining the way maths is used in cutting-edge biological research.
Curriculum links include:
Sampling, environmental observations, disease, animal behaviour, calculating speed, populations, experimental design, choice tests, crop pests, ash dieback, plant disease, fungus, ecosystems, biodiversity, distribution, frequency and abundance of species
Vectors, symmetry, geometry, differential equations, division, Pythagoras’ theorem, coordinates, factorials, statistics, probability.
Show health and safety information
Please be aware that resources have been published on the website in the form that they were originally supplied. This means that procedures reflect general practice and standards applicable at the time resources were produced and cannot be assumed to be acceptable today. Website users are fully responsible for ensuring that any activity, including practical work, which they carry out is in accordance with current regulations related to health and safety and that an appropriate risk assessment has been carried out.
Downloads
-
Strategic sampling presentation 1.68 MB
-
Observing behaviour presentation 3.11 MB
-
Mark recapture presentation 3.22 MB
-
Experimental design presentation 3.59 MB