2019/20 Taught Postgraduate Module Catalogue
GEOG5003M Programming for Geographical Information Analysis
15 creditsClass Size: 40
Taught: 1 Mar to 31 May View Timetable
Year running 2019/20
This module is mutually exclusive with
|GEOG5990M||Programming for Geographical Information Analysis: Core Skil|
|GEOG5991M||Programming for Geographical Information Analysis (WUN): Cor|
|GEOG5995M||Programming for Social Science: Core Skills|
Module replacesThis is a new module for a new programme but it replaces an existing ODL module: GEOG5991: Programming for Geographical Information Analysis
This module is not approved as an Elective
Module summaryThis module provides foundation level skills in computer programming. It introduces different types of programming and software development practice in general and in a geographical context. It encourages sustainable software development through: the application of software licences; the production of well documented source code; software testing; version control; and the production of user documentation. It is based on the development of software for geographical data processing and visualisation in a series of supported practical exercises.
ObjectivesOn completion of this module, students should have:
1. A clear understanding of sustainable software development practice.
2. Awareness of common issues in computer programming and in developing software.
3. Awareness of useful resources for developing software.
4. Practiced developing well tested, well documented source code and delivering a package of software.
On completion of this module, students will have:
1. Foundational level computer programming
2. Practical skills in sustainable software development
Abstraction and synthesis of information from a variety of sources.
Solving problems and making reasoned decisions.
Plan, design, execute and report research.
Undertake effective analysis work.
Employ a variety of technical methods for the analysis and presentation of spatial and environmental information.
Apply numerical and computational skills to data.
Use information technology effectively.
Indicative topics include:
- Introduction to computer programming.
- Variables and scripting.
- Flow control and procedures.
- Data input
- Data processing
- Data visualisation
- Interfacing with GIS software.
|Delivery type||Number||Length hours||Student hours|
|Independent online learning hours||48.00|
|Private study hours||78.00|
|Total Contact hours||24.00|
|Total hours (100hr per 10 credits)||150.00|
Private studyPrivate study and online learning includes directed and independent wider reading, independent work and researching/undertaking module assessments and related tasks. Practicals involve working through pre-prepared guidance materials.
Opportunities for Formative FeedbackFormative feedback will be provided via discussion boards where students are encouraged to post questions, comments, practical outputs etc. Note that the outputs requested here will differ from those required as part of the summative portfolio.
The module leader will also provide support via email and Skype/Collaborate Ultra during the software learning stages, in advance of assessment.
Methods of assessment
|Assessment type||Notes||% of formal assessment|
|Total percentage (Assessment Coursework)||100.00|
Portfolio – work developed through weekly practical sessions Report – a larger problem-solving task to be completed by the student using the skills developed on the module
Reading listThe reading list is available from the Library website
Last updated: 30/04/2019
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