2015/16 Taught Postgraduate Module Catalogue

GEOG5061M GIS and Geocomputation (WUN)

15 creditsClass Size: 30

Module manager: Alison Heppenstall
Email: a.j.heppenstall@leeds.ac.uk

Taught: 1 Apr to 30 Jun (Adv pre 2223), 1 Apr to 30 June View Timetable

Year running 2015/16

This module is not approved as an Elective

Module summary

This module will introduce you to a range of different methods from the informatics field of artificial intelligence. You will be given hands-on exposure to several different techniques such as agent-based modelling and see how these can be used to solve many different kinds of geographical problems.

Objectives

On completion of the module students should:
- appreciate new computational techniques associated with 'artificial intelligence';
- have an overview of a range of applications and solutions to GIS geographical problems;
- be able to apply these tools to their own GIS and geographical problems.

Learning outcomes
Appreciation of other modes of Geographical analysis and modelling

Skills outcomes
- Pursuit of knowledge in an in-depth, ordered and motivated way
- Learning and independent study
- Information processing (including IT skills): literature searches
- Data manipulation (including IT skills): analysis of data (especially spatial data); statistical methods; clustering techniques
- Communication: report writing; e-mail/discursive skills
- Management: safe and effective project planning and execution; time management.

Syllabus

Indicative topics could include:
- Artificial Intelligence and Geocomputation
- Cellular automata
- Fuzzy logic
- Neural networks/data mining
- Genetic algorithms
- Genetic programming
- Agent-based modelling and microsimulation.

Teaching methods

Delivery type	Number	Length hours	Student hours
Discussion forum	10	1.00	10.00
Independent online learning hours			50.00
Private study hours			90.00
Total Contact hours			10.00
Total hours (100hr per 10 credits)			150.00

Private study

To undertake reading, research and preparation of assessed work

Opportunities for Formative Feedback

Through email communication and online discussion room and also attendance monitoring via activity on VLE

Methods of assessment

Coursework

Assessment type	Notes	% of formal assessment
Project	2,000 word equivalent project	50.00
Project	2,000 word equivalent project	50.00
Total percentage (Assessment Coursework)		100.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Reading list

The reading list is available from the Library website

Last updated: 13/04/2015

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