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2018/19 Taught Postgraduate Module Catalogue
GEOG5790M Programming for Geographical Information Analysis: Advanced Skills
15 creditsClass Size: 40
Module manager: Andrew Evans
Email: a.j.evans@leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2018/19
Pre-requisite qualifications
GEOG5990M Programming for Geographical Information Analysis: Core Skills, or equivalent programming experiencePre-requisites
GEOG5990M | Programming for Geographical Information Analysis: Core Skil |
Module replaces
GEOG5560M: Introduction to Java ProgrammingThis module is not approved as an Elective
Module summary
This module allows students to take their analysis skills to a high level covering customisation of ArcGIS and how to build models of environmental or social systems for analysis and prediction. The module utilises Python and is suitable for anyone wishing to work in any spatial analysis position that requires more than 'out of the box' GIS knowledge. The module builds on Programming for Geographical Information Analysis: Core Skills, but is suitable for students with previous experience.Objectives
On completion of the module students should have:- To develop GIS customisation skills in students.
- To develop advanced programming skills in students.
- To develop advanced computer modelling skills in students.
Learning outcomes
- Advanced level computer programming for Geographical Information analysts, including GIS adaptation.
- How to build computer analysis and modelling tools for geographical data.
- An understanding of the major code libraries available for computer-based analysis.
- Insight into social and environmental modelling.
Syllabus
- Adapting GIS.
- Database connectivity.
- Code libraries for analysis and visualisation.
- Modelling and optimisation.
- Parallel computing.
Teaching methods
Delivery type | Number | Length hours | Student hours |
Lecture | 11 | 2.00 | 22.00 |
Practical | 11 | 2.00 | 22.00 |
Private study hours | 106.00 | ||
Total Contact hours | 44.00 | ||
Total hours (100hr per 10 credits) | 150.00 |
Private study
Students will be given structured practical work and will be expected to work on these projects independently between formal practical support sessions. Some topics will require additional reading around programming issues.Students will also be expected to work independently on assessments which they will have the opportunity to design in discussion with staff.
The students will be supported through this work with VLE materials, including additional unassessed problems they might like to try and online learning materials, FAQs, and materials on ancillary and supporting topics.
Opportunities for Formative Feedback
Through weekly practical tasksStudents will have the option of designing their own projects in discussion with staff.
Students will have access to formative assessment materials and supplementary tasks online, including walk-through discussions of structuring the solution and the code that might be involved.
Methods of assessment
Coursework
Assessment type | Notes | % of formal assessment |
Computer Exercise | Independent project (2,500 words equivalent) | 70.00 |
Portfolio | Portfolio of practical work (1,500 words equivalent) | 30.00 |
Total percentage (Assessment Coursework) | 100.00 |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Reading list
There is no reading list for this moduleLast updated: 26/04/2017
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- Undergraduate module catalogue
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