Postgraduate Course: Advanced GIS and spatial epidemiology and modelling (INAH11018)
|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
|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.
A Geographic Information System (GIS), or Geographical Information System, is any system that captures, stores, analyses, manages, and presents data that are linked to location. This course aims to further deepening the understanding of spatial analysis including using remote sensing data, spatial modelling and time series analysis. The material will be reinforced with a case study, looking in more depth at one of the subjects covered during the lecture.
A recap of basic GIS analysis, advanced spatial interpolation using kriging, spatial modelling multi-criteria decision making using Analytic Hierarchical Process and using Fuzzy Logic, spatial modelling using regression and data mining techniques.
Entry Requirements (not applicable to Visiting Students)
|| It is RECOMMENDED that students have passed
Introduction to GIS and spatial data analysis (INAH11017)
||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 2018/19, Not available to visiting students (SS1)
|Learning and Teaching activities (Further Info)
Lecture Hours 10,
Online Activities 30,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
|Assessment (Further Info)
|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.
|No Exam Information
On completion of this course, the student will be able to:
- Describe the concepts of remote sensing.
- Describe the concepts of statistical spatial models
- Describe the concepts of time series analysis
|Graduate Attributes and Skills
||To be able to exercise critical judgment in creating new understanding of international animal health issues
To be able to critically assess existing understanding and the limitations of their own knowledge and recognise the need to regularly challenge their knowledge and understanding by keeping abreast of current developments as part of a regular routine of self motivated continuing professional development
Students will have been taught the skills on where to search for up to date information that is relevant to their working environment and academic interests.
To have an informed respect for the principles, methods, standards, values and boundaries of their discipline(s) and the capacity to question these
On graduating our students will be able to recognise the importance of reflecting on their learning experiences and be aware of any limitations and how to address these.
Graduate Attributes: Skills and abilities in Personal and Intellectual Autonomy
To be open to new ideas, methods and ways of thinking. This is encouraged by the diverse portfolio of courses that the graduate may have chosen to include in their learning experience, challenging themselves both within their current sphere and also outside their normal comfort zone.
To be creative and imaginative thinkers, a feature that will have been enhanced by the variety of assessment methods though which they have been challenged to present, re-imagine, or discuss their learning materials.
Part-time, online learners will have learnt to be able to identify processes and strategies for learning. There is no rigid structure to their learning environment, beyond the established deadlines for continuous assessment. It is for the student to adapt their own circumstances to meet the challenges for this programme, continuous reflection; self-evaluation and self-improvement are fundamental skills in this process. This ensures an independent approach to assimilating knowledge and the knowledge of where to find relevant, additional resources and information.
The self selective student cohort, are all working professionals with a clear vision of where this qualification will place them within their own career pathways. The pace of learning and the support of a similarly minded cohort help ensure that these goals are achieved in a sustainable manner.
Graduate Attributes: Skills and abilities in Communication
To make effective use of written and visual means to critique, negotiate, create and communicate understanding. While oral skills are encouraged, until we are certain that the use of these technologies in our online programmes will not prohibit the contribution of any student due to their geographical circumstances, this suite of technologies has not been fully implemented.
The use of communication as a tool for collaborating and relating to others is vital in these online programmes, the vast majority of information is text based and students must be able to clearly present their thoughts, ideas and the logical progression of a discussion to one another.
Seek and value open feedback to inform genuine self-awareness. While on programme students are also encourage to participate in peer review, providing open and honest feedback in a clear and supportive manner. This open dialogue is vital in furthering the understanding of how their own performance might be improved.
Recognise the benefits of communicating with those beyond their immediate environments
Use effective communication to articulate their skills as identified through self-reflection.
Graduate Attributes: Skills and abilities in Personal Effectiveness
The development of confidence in their own skill set, and to appreciate and use their talents constructively, this is taken to include the ability to make decisions based on their understandings and their personal and intellectual autonomy
To create and harness collaborative opportunities through the development of professional networks, and knowledge of potential funding streams and other financial opportunities
To be able to flexibly transfer their knowledge, learning, skills and abilities from one context to another
To understand social, cultural, global and environmental responsibilities and issues though membership of a global community of practise. This community encourages students to work together to capitalise on their different thinking, experience and skills in order to progress their knowledge and understanding.
To work with, manage, and lead others in ways that value their diversity and equality and that encourage their contribution to the organisation and the wider community
3. Autonomy, Accountability and Working with others
||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.
|Course organiser||Dr Ewan MacLeod
Tel: 0131 242 9379
|Course secretary||Miss Sarah Fraser
Tel: (0131 6)50 3289