Module Information

Module Identifier
Module Title
Academic Year
Semester 1 (Taught over 2 semesters)
Other Staff

Course Delivery

Delivery Type Delivery length / details
Lecture 15 x 1 hour lectures in food and water security; 15 x 1 hour lectures in quantitative data management and handling
Seminars / Tutorials 15 x 1 hour student-led seminars in food and water security
Other 4 x 2 hour workshops in qualitative data management and handling


Assessment Type Assessment length / details Proportion
Semester Assessment Essay (2500 words): Theorising security and politics  20%
Semester Assessment Case study report (2500 words): Geographical perspectives  20%
Semester Assessment Case study report (2500 words): Scientific perspectives  20%
Semester Assessment Data handling exercises  10%
Semester Assessment Data handling assessment (open book)  10%
Semester Assessment Dissertation plan (3000 words)  20%
Supplementary Assessment Resubmission of failed coursework  100%

Learning Outcomes

On successful completion of this module students should be able to:

1. Demonstrate awareness of the political frameworks which affect food and water security.

2. Demonstrate awareness of the social and cultural frameworks which affect food and water security

3. Demonstrate awareness of the environmental and political forces which affect water security.

4. Demonstrate awareness of the political frameworks which affect food and water security

5. Demonstrate awareness of the agricultural, environmental and technological contexts which affect food production and water security

6. Integrate political, geographical and environmental paradigms.

7. Demonstrate an understanding of the basis for selecting appropriate statistical approaches to data analysis

8. Assimilate and evaluate data for subsequent interpretation and analysis.

9. Devise testable hypotheses, define focused aims and objectives.

10. Demonstrate proficiency in applying statistical and research methodologies.

11. Conduct research searches using library, information technology and database sources.

12. Collect, store, analyse and interpret data.

13. Utilise appropriate bioinformatics resources for gathering and analysing information.

Brief description

The module delivers sequentially contributions from International Politics, IGES and IBERS, in the form of lectures followed by related, student-led seminars. These will be deliberately non-technical in order to cater for students with widely different experiences of natural and social sciences. The module also provides training in data handling and information retrieval to underpin case studies and dissertation assessments. Students will prepare a written description of their proposed dissertation in the wider context of food and water security issues.


International Politics.

Politics interests, conflicts, risks
Security: threats, referents, processes
Ethics: foundations, arguments, consequences
The development architecture
Aid as a technology of power


Globalization and food
Food and climate change
Cultural geographies of food
Global water resources
Water security and climate change


Food Security
Food Production Systems
Climate change and food production
Environmental impacts of food production systems
Role of technology in promotion of food security and water use efficiency

IBERS/IGES (Data management & handling)

Lectures will cover:
Descriptive statistics - samples & populations
Inferential statistics - hypothesis testing & the setting of confidence intervals
General principles of the design of experiments and surveys
The analysis of variance: one-way, two-way and two factor
Regression, including multiple regression
An introduction to multivariate methods
Analysis of variance and regression will be instructed via Excel
Qualitative data analysis

Workshops cover the following topics:
Information access and bioinformatics
Intellectual property and licensing issues
Data acquisition and archiving
Multivariate methods
Use of PCA/DFA/PLS analysis and introduction to other multivariate methods

International Politics/IGES/IBERS

Written assessment to prepare for the dissertation

Module Skills

Skills Type Skills details
Application of Number Students will handle, analyse and interpret numerical data using statistical methods.
Communication Oral communication will be encouraged during the student-led seminars. Written communication will be assessed through the dissertation plan.
Improving own Learning and Performance Students will be expected to undertake a significant amount of self-directed study in the preparation of the student-led seminars and dissertation plan.
Information Technology Students will use information technology in the preparation and presentation of their coursework. They will access information and data online.
Personal Development and Career planning Students will engage critically with contemporary and topical issues of food and water security, which are directly relevant to a range of career paths.
Problem solving Students will synthesise and evaluate information from case studies, and analyse qualitative data.
Research skills Students will research independently in preparing for the student-led seminars and dissertation plan.
Subject Specific Skills Understanding of the natural scientific and social scientific principles and practice of food and water security.
Team work Student-led seminars will involve group-based discussions and activities.


This module is at CQFW Level 7