Postgraduate Course: Conservation Ethics (BIME11094)

Course Outline
School	Deanery of Biomedical Sciences	College	College of Medicine and Veterinary Medicine
Credit level (Normal year taken)	SCQF Level 11 (Postgraduate)
Course type	Online Distance Learning	Availability	Not available to visiting students
SCQF Credits	10	ECTS Credits	5
Summary	It is essential that we give our students the opportunity to develop their thinking on the many ethical aspects of conservation activities. This course will provide a platform for discussion and reflection on a variety of case examples. Students will be encouraged to analyse in depth the many conflicts that can exist in the development and implementation of new technologies or strategies and to come to their own conclusions as to what is acceptable. This course is less focused on what we can' do to consider rather what we 'should' or 'should not' do.
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 2019/20, Not available to visiting students (SS1)		Quota: None
Course Start	Block 5 (Sem 2) and beyond
Course Start Date	22/04/2019
Timetable	Timetable
Learning and Teaching activities (Further Info)	Total Hours: 100 ( Lecture Hours 10, Seminar/Tutorial Hours 10, Online Activities 25, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 53 )
Additional Information (Learning and Teaching)	This course will be run via the online environment, Learn.
Assessment (Further Info)	Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment)	40% online assessment 60% written assessment
Feedback	Not entered
No Exam Information

Learning Outcomes
On completion of this course, the student will be able to: Critically evaluate the need for an ethical framework in conservation Confidently apply an ethical framework to common conservation issues and activities Collect and organise a dataset and apply appropriate graphical and statistical methods to this dataset. Work as part of a group to make decisions and work effectively to reach a shared goal