Postgraduate Course: Sustainability of Food Production (PGGE11165)

Course Outline
School	School of Geosciences	College	College of Science and Engineering
Credit level (Normal year taken)	SCQF Level 11 (Postgraduate)	Availability	Not available to visiting students
SCQF Credits	20	ECTS Credits	10
Summary	Sustainability and resilience will be introduced as a formal system properties together will methods for their analysis. Empirical components of sustainable food production will be studied by examining relationships between non-renewable resource use and food production, energy balances and carbon footprints. Future implications of environmental change for food security will be discussed. THIS COURSE TAKES PLACE ON THUR 2-5PM IN THE PETER WILSON BUILDING (SRUC) IN LECTURE ROOM H.
Course description	Not entered

Entry Requirements (not applicable to Visiting Students)
Pre-requisites		Co-requisites
Prohibited Combinations		Other requirements	None

Course Delivery Information

Academic year 2015/16, Not available to visiting students (SS1)		Quota: 60
Course Start	Semester 2
Timetable	Timetable
Learning and Teaching activities (Further Info)	Total Hours: 200 ( Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 196 )
Assessment (Further Info)	Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment)	Coursework 80% and presentation 20%
Feedback	Not entered
No Exam Information

Learning Outcomes
On completion of the programme, students will: ż Have an understanding of the global context of food security including its political, economic, social and environmental components. ż Be able to identify the main trade-offs that might exist between food security and other desirable goals. ż Be able to carry out independent research (either practical or desk-based) and produce reports of the research in a number of different formats (e.g. written, verbal). ż Be competent in constructing logically sound arguments and analysing scientific theories and data-generating methodologies (e.g. experiments, surveys). ż Have expertise in at least one specialist area (e.g. modelling or food supply chain analysis).