Postgraduate Course: Introduction to GIS and spatial data analysis (INAH11017)
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 | International Animal Health |
Other subject area | None |
| Course website |
http://www.InternationalAnimalHealth.ed.ac.uk |
Taught in Gaelic? | No |
| Course description | This course aims to promote an understanding of vector data using global positioning systems and geographic information system (GIS) software. The concept of data quality will be introduced. |
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. |
Information for Visiting Students
| Pre-requisites | None |
| Displayed in Visiting Students Prospectus? | No |
Course Delivery Information
|
| Delivery period: 2014/15 Flexible, Available to all students (SV1)
|
Learn enabled: Yes |
Quota: None |
|
Web Timetable |
Web Timetable |
| Class Delivery Information |
This course will be delivered online by Learn. |
| Course Start Date |
04/08/2014 |
| Breakdown of 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 )
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| Additional Notes |
|
| Breakdown of Assessment Methods (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
|
| No Exam Information |
Summary of Intended Learning Outcomes
| At the completion of this course students will be familiar with a number of software packages and the concepts of GIS along with spatial data sampling and analysis. |
Assessment Information
| 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. |
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 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 Ewan Macleod
Tel: 0131 242 9379
Email: ewan.macleod@ed.ac.uk |
Course secretary | Miss Lauren Sandford
Tel: (0131 6)51 1824
Email: Lauren.Sandford@ed.ac.uk |
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