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.
|
| Course description |
Not entered
|
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
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
|
| Academic year 2017/18, Available to all students (SV1)
|
Quota: None |
| Course Start |
Flexible |
| Course Start Date |
07/08/2017 |
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 )
|
| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
|
| 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
At the completion of this course, the candidate should understand and apply basic quantitative epidemiology, involving single samples and the uses to which techniques can be applied in disease surveillance.
The candidate should:
? 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
? rationalise importance of risk assessment, and appreciate the mathematical principles behind probability theory and qualitative assessment
? understand methods of disease surveillance, traceability, data sources and bias and participatory epidemiology
|
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.
|
| Additional Class Delivery Information |
This course will be delivered online through Learn. |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Kim Picozzi
Tel: (0131 6)50 6257
Email: |
Course secretary | Miss Sarah Fraser
Tel: (0131 6)50 3289
Email: |
|
© Copyright 2017 The University of Edinburgh - 6 February 2017 7:34 pm
|
University Homepage