Postgraduate Course: Advanced GIS and spatial epidemiology and modelling (INAH11018)
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 | 10 |
ECTS Credits | 5 |
| Summary | Building on those concepts introduced in "Introduction to GIS and spatial data analysis" this course will look at derived prediction spatial models using point data, leading to surface analysis and probabilities of presence and absence of disease. |
| Course description |
Not entered
|
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
It is RECOMMENDED that students have passed
Introduction to GIS and spatial data analysis (INAH11017)
|
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 2015/16, Available to all students (SV1)
|
Quota: None |
| Course Start |
Flexible |
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 )
|
| 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 discussion in both a synchronous and asynchronous environment will contribute further to the final mark. In combination with the submission of electronic course assignments, these elements will provide the remaining 40% of the final mark. |
| Feedback |
Not entered |
| No Exam Information |
Learning Outcomes
| At the completion of this course students should be familiar with the concepts of remote sensing, statistical spatial models and time series analysis.
|
Additional Information
| Course URL |
http://www.InternationalAnimalHealth.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 a delivery platform. Course materials are protected by username and password controlled access which will only be made available to registered users. |
| Additional Class Delivery Information |
This course will be delivered online through Learn. |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Ewan Macleod
Tel: 0131 242 9379
Email: ewan.macleod@ed.ac.uk |
Course secretary | Miss Lauren Sandford
Tel: (0131 6)51 5470
Email: Lauren.Sandford@ed.ac.uk |
|
© Copyright 2015 The University of Edinburgh - 18 January 2016 4:12 am
|
University Homepage