Postgraduate Course: Object Orientated Software Engineering: Spatial Algorithms (PGGE11106)
Course Outline
School |
School of Geosciences |
College |
College of Science and Engineering |
Course type |
Standard |
Availability |
Available to all students |
Credit level (Normal year taken) |
SCQF Level 11 (Postgraduate) |
Credits |
10 |
Home subject area |
Postgraduate Courses (School of GeoSciences) |
Other subject area |
None |
Course website |
http://www.geos.ed.ac.uk/postgraduate/MSc/GISpages.html |
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Course description |
The course assumes a working knowledge of Java and of Object-Oriented design principles and uses these to develop understanding of computational algorithms used to manipulate and analyse spatial data. A range of examples is used to identify generic algorithmic principles. Concepts of algorithm efficiency are addressed but emphasis is also placed on clarity of design and implementation. There is a strong practical emphasis to learning on the course. >Object-Oriented Software Engineering Principles< is normally a pre-requisite for this course. |
Entry Requirements
Pre-requisites |
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Co-requisites |
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Prohibited Combinations |
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Other requirements |
None
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Additional Costs |
None |
Course Delivery Information
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Delivery period: 2010/11 Block 2 (Sem 1), Available to all students (SV1)
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WebCT enabled: No |
Quota: None |
Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
Central | Lecture | | 6-11 | | | | 09:00 - 10:50 | | Central | Laboratory | | 6-11 | | | | 11:10 - 13:00 | |
First Class |
Week 6, Thursday, 09:00 - 13:00, Zone: Central. Room M2B/1.04 Appleton Tower, Lab 1.26 Geography Drummond St |
Summary of Intended Learning Outcomes
- understand how different spatial data models can be implemented in object-oriented designs.
- understand the principles of algorithm development and of generic concepts employed in algorithm design.
- be familiar with a range of algorithms used to manipulate and analyse spatial data.
- develop Java classes suited to the representation and analysis of spatial data.
- appreciate the concept of algorithm efficiency, how this can be assessed and improved.
- undertake spatial data Input/Output in standard formats with other proprietary software.
- locate, read and summarise relevant literature, from both traditional and electronic media, to extend your understanding of the topic.
- develop reasoned arguments, firmly grounded in the available literature.
- plan and write assignments, within the specified parameters and to a professional standard.
- take responsibility for your own learning through reading and the preparation of assignments, and reflect upon your learning experience. |
Assessment Information
100% coursework: practical assessment 20%; project (80%) |
Please see Visiting Student Prospectus website for Visiting Student Assessment information |
Special Arrangements
Not entered |
Contacts
Course organiser |
Dr Nick Hulton
Tel: (0131 6)50 2531
Email: Nick.Hulton@ed.ac.uk |
Course secretary |
Mrs Consuelo Fox
Tel: (0131 6)50 2543
Email: connie.fox@ed.ac.uk |
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copyright 2010 The University of Edinburgh -
1 September 2010 6:26 am
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