ES2S208 - Research Methods in Natural History 01 Jul 2022 - 31 Aug 2028 | Version 1

Associated Module Information

Module Code: ES2S208
Module Title: Research Methods in Natural History
Faculty: Faculty of Computing, Engineering and Science
Faculty Group: Applied Sciences
Faculty Sub Group: Earth and Environment
Module Leader: Ian Skilling
Module Team: Amelia Grass, Marios Miliorizos, Emma Higgins, Richard Penrose
First Intended Intake: SEP 2027 Final Year of Intake: 2027
Date Closed:
Credit Value: 20 Credit Level: 5
Language: English
Percentage of Module Taught in Welsh: 0
Equivalent Module:
HECOS codes: 100469 - environmental management 101318 - biodiversity conservation
HECOS Code Weighting: 50 50

Document Version Information

Version 1
Valid From 01 Jul 2022
Valid To 31 Aug 2028

Module Aims

The module will explore the principles of scientific research and communication, which are fundamental skills in the Natural History discipline.

To develop subject-specific skills using meaningful examples in experimental tasks, underpinned with theoretical content, including subjects such as behavioural sciences, genetics, ecological principles, field biology and field geology

The module will include aspects of statistical analysis, data handling, experimental design, and presentation of scientific findings, which are fundamental skills in Natural History research.

Content Summary

Introduction to a range of research methods in natural history.

The scientific method and experimental design.

Critical assessment of the primary scientific literature.

Developing skills in writing scientific reports.

Introduction to statistics relevant to Natural History.

Introduction to using R for data handling and analysis.

Understanding the basic parameters of behavioural ecology.

Introduction to Genetics and bioinformatics.

Presentation of scientific research and science communication.

Practical skills in the construction and representation of fossil and rock sequences, the quantification of these sequences in terms of Earth processes and palaeoenvironments

Learning and Teaching Methods

Activity Type Hours
Lecture 16
Practical classes and workshops 27
Fieldwork 14
Independent Study 93
Directed Study 50
Total Hours Selected 200

Learning Outcomes

# Learning Outcome
LO1 To develop and use systematic approaches, scientific methodologies, and information/data analysis skills to provide the solution of problems within the Natural History subject area.
LO2 To develop the ability to plan, research, apply and critically evaluate both qualitatively and quantitatively, to create original solutions to problems and projects within the subject area.

Module Requisites

N/A

Assessment Criteria

Assessment Category Assessment Type Description Duration Word Count Weight (%) Best of? Pass Mark
Asynchronous Assessment Practical Coursework 1 (Asynch) Portfolio of practical reports 0 4000 100 No 40

Assessment Matrix

Assessment Type Learning Outcomes
LO1 LO2
Practical Coursework 1 (Asynch)

Reading List

Wickham, H. & Grolemund G. 2016. R for Data Science. O'Reilly Media.

Henderson P.A. & Southwood T.R.E. 2016. Ecological Methods. Wiley-Blackwell

Fowler, J. Cohen, L. & Jarvis P. 2006. Practical Statistics for Field Biology. Wiley.

Martin P. & Bateson P. (2016) Measuring Behaviour: An Introductory Guide. Third Edition. Cambridge University Press.

Karban R., Huntzinger M. & Pearse I.S. 2014. How To Do Ecology. Princeton University Press 6 Thomas R., Vaughan I. & Lello J. 2019. Data Analysis with R statistical Software: A Guidebook for Scientists. EcoExplore.