Postgraduate Course: Introduction to disease modelling (EMND11013)
Course Outline
| School | School of Biomedical Sciences |
College | College of Medicine and Veterinary Medicine |
| Course type | Standard |
Availability | Available to all students |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Credits | 10 |
| Home subject area | Emerging and Neglected Infectious Diseases |
Other subject area | None |
| Course website |
http://www.enid.mvm.ed.ac.uk/ |
Taught in Gaelic? | No |
| Course description | This course aims to introduce the basic methods for setting up models and to illustrate some of the insights into the dynamics of infectious diseases that models can provide.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
It is RECOMMENDED that students have passed
Emerging and Neglected Infectious Diseases (MIBM10046)
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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. |
Information for Visiting Students
| Pre-requisites | None |
| Displayed in Visiting Students Prospectus? | Yes |
Course Delivery Information
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| Delivery period: 2012/13 Flexible, Available to all students (SV1)
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WebCT enabled: Yes |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| No Classes have been defined for this Course |
| First Class |
First class information not currently available |
| Additional information |
This course will be delivered online through WebCT |
| No Exam Information |
Summary of Intended Learning Outcomes
At the end of this course the candidate should be familiar with the basic methods for setting up mathematical models (i.e. difference and differential equations) and apply this knowledge to:
* Set up simple (deterministic) models using difference or differential equations in Excel and Berkeley Madonna (?)
* Understand how models can provide insights into disease transmission and the impact of interventions
* Set up simple stochastic models of outbreaks in small populations
* Read and appreciate scientific modelling papers and evaluate their underlying assumptions
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Assessment Information
| 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. |
Special Arrangements
This course will be taught entirely by distance learning, using the virtual learning environment of WebCT 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 Information
| Academic description |
Not entered |
| Syllabus |
Not entered |
| Transferable skills |
Not entered |
| Reading list |
Not entered |
| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Kim Picozzi
Tel: (0131 6)50 6257
Email: |
Course secretary | Ms Caroline Morris
Tel: (0131 6)51 3255
Email: |
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