THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2021/2022

Information in the Degree Programme Tables may still be subject to change in response to Covid-19

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DRPS : Course Catalogue : Deanery of Molecular, Genetic and Population Health Sciences : Public Health Research

Postgraduate Course: Global Health Epidemiology (PUHR11093)

Course Outline
SchoolDeanery of Molecular, Genetic and Population Health Sciences CollegeCollege of Medicine and Veterinary Medicine
Credit level (Normal year taken)SCQF Level 11 (Postgraduate)
Course typeOnline Distance Learning AvailabilityAvailable to all students
SCQF Credits10 ECTS Credits5
SummaryThis course will consider aspects of selected broad topics in Global Health Epidemiology, especially those related to disease burden and their policy implications. The student will gain some experience of international health issues through consideration of a number of current global health challenges - pandemics, antimicrobial resistance, climate change and health, conflict and health, gender and health.
Course description This course will be taught entirely by online distance learning, using the virtual learning environment Learn as the delivery platform. Students will work individually and in groups, interacting via discussion boards.
Students will be introduced to key concepts and approaches through a mix of online lectures, activities and key readings.
Students will work in online groups on the global burden of disease and risk factors for a defined condition.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Information for Visiting Students
Pre-requisitesNone
Course Delivery Information
Academic year 2021/22, Available to all students (SV1) Quota:  None
Course Start Block 3 (Sem 2)
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 98 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment)
20% Group Presentation
80 % Essay Assignment (1,500 words)

Feedback Students will receive formative or summative feedback on all assessed pieces of work.
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. Develop a critical understanding of evolving global burden of disease and related global health challenges; including an understanding of concepts and metrics involved in measuring global burden of disease and critically evaluating a wide range of numerical and graphical data on global burden of disease
  2. Develop a critical awareness of current issues in global health
  3. Extend knowledge and thinking on global health challenges
  4. Communicate to a diverse audience with different areas and levels of knowledge/expertise (in group work)
  5. Make an identifiable contribution to group work and work collaboratively with a group of peers, taking collective responsibility for the output
Reading List
None
Additional Information
Graduate Attributes and Skills During this course students will have to demonstrate the ability to work both independently and collaboratively with others. They will learn generic approaches and skills such as classifying information, critical analysis and drawing on different forms of evidence to reach a balanced conclusion. They will engage in groups with a global health assignment and will be asked to present this effectively in a presentation, evidence summary and press statement. This will contribute specifically to the following Graduate Attributes:
- Outlook and engagement
- Research and enquiry
- Personal and intellectual autonomy
- Personal effectiveness
- Communication
KeywordsGlobal Health,Global Burden of Disease,Risk Factors / Determinants of Health
Contacts
Course organiserProf Harry Campbell
Tel: (0131 6)50 3218
Email: Harry.Campbell@ed.ac.uk
Course secretaryMs Charlotte Munden
Tel: (0131 6)51 318
Email: cmunden2@ed.ac.uk
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