Postgraduate Course: Applied epidemiology and public health (EMND11003)
Course Outline
| School | Deanery of Biomedical Sciences |
College | College of Medicine and Veterinary Medicine |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 20 |
ECTS Credits | 10 |
| Summary | The course aims to promote an understanding of the theory of basic and applied epidemiology using examples from the field of public health.
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| Course description |
Not entered
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
| Additional Costs | Students will be required to have regular access to a networked computer, and will be responsible for providing their own computing equipment and consumables. |
Course Delivery Information
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| Academic year 2022/23, Available to all students (SV1)
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Quota: None |
| Course Start |
Flexible |
| Course Start Date |
08/08/2022 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
200
(
Lecture Hours 20,
Seminar/Tutorial Hours 20,
Online Activities 50,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
106 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
Formal summative written assessment will constitute 60% of the student's grade. Online assessment will incorporate a variety of activities will constitute 40% of their overall course grade and is taken to represent a formative assessment of learning throughout the programme. |
| Feedback |
Not entered |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Understand basic statistical methods and their application
- Appreciate and describe the measurement of disease frequency
- Understand the diagnostic criteria for disease, and discuss the observation and interpretation of data
- Understand the principles of survey design and the concepts of sampling and understand methods of disease surveillance, traceability, data sources and bias and participatory epidemiology
- Rationalise importance of risk assessment, and appreciate the mathematical principles behind probability theory and qualitative assessment
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Additional Information
| Course URL |
http://www.enid.mvm.ed.ac.uk/ |
| Graduate Attributes and Skills |
Not entered |
| Special Arrangements |
This course will be taught entirely by distance learning, using the virtual learning environment of Learn as the delivery platform. Course materials are protected by a secure username and password. These access details are made available to registered users only.
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| Additional Class Delivery Information |
This course will be delivered online through Learn. |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Jenna Fyfe
Tel: 0131 242 9379
Email: |
Course secretary | Mrs Dan Yan
Tel: (131 6)515470
Email: |
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