2018/19 Taught Postgraduate Module Catalogue
GEOG5995M Programming for Social Science: Core Skills
15 creditsClass Size: 30
Module manager: Andrew Evans
Email: a.j.evans@leeds.ac.uk
Taught: Semesters 1 & 2 (Sep to Jun) View Timetable
Year running 2018/19
This module is mutually exclusive with
| GEOG5990M | Programming for Geographical Information Analysis: Core Skil |
| GEOG5991M | Programming for Geographical Information Analysis (WUN): Cor |
This module is not approved as an Elective
Module summary
This module provides foundation level skills in computer programming for social scientists. It introduces programming, along with associated introductory techniques for data analysis, visualisation, and modelling. The module will also introduce ancillary themes around good research programming practice, such as version control and licensing.Objectives
On completion of this module, students should be able to ...To develop core computer programming skills in students.
To develop and awareness of the issues around computer programming.
To develop an understanding of good research programming practice.
Learning outcomes
Foundation level computer programming for social scientists.
How to build computer analysis and modelling tools.
Practical skills in good research programming.
Skills outcomes
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.
Industry knowledge.
Syllabus
Introduction to computer programming.
Variables and Objects.
Flow control and procedures.
Classes and inheritance.
Dealing with data, online and off.
Basic data analysis and modelling.
Teaching methods
| Delivery type | Number | Length hours | Student hours |
| Group learning | 1 | 3.00 | 3.00 |
| Practical | 5 | 7.00 | 35.00 |
| Independent online learning hours | 21.00 | ||
| Private study hours | 91.00 | ||
| Total Contact hours | 38.00 | ||
| Total hours (100hr per 10 credits) | 150.00 | ||
Private study
Students will be given structured online learning materials that supplement the course in a variety of areas of interest to their research. As part of their project for the module, they will be expected to work through at least one set of materials.Opportunities for Formative Feedback
The practical components will build up software which will be assessed in portfolio form. The projects will be set during the week long teaching period, and then three weeks later will be formatively assessed for progress during a half-day workshop. The final project will be due in some five weeks after this.Methods of assessment
Coursework
| Assessment type | Notes | % of formal assessment |
| Project | 2,500 word equivalent | 70.00 |
| Portfolio | Portfolio of practical work (1,500 word 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: 28/02/2019
Browse Other Catalogues
- Undergraduate module catalogue
- Taught Postgraduate module catalogue
- Undergraduate programme catalogue
- Taught Postgraduate programme catalogue
Errors, omissions, failed links etc should be notified to the Catalogue Team.PROD