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
|
Taught in Gaelic? |
No |
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 |
|
Co-requisites |
|
Prohibited Combinations |
|
Other requirements |
None
|
Additional Costs |
None |
Information for Visiting Students
Pre-requisites |
None |
Displayed in Visiting Students Prospectus? |
Yes |
Course Delivery Information
|
Delivery period: 2010/11 Block 2 (Sem 1), Available to all students (SV1)
|
WebCT enabled: Yes |
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 |
No Exam Information |
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%) |
Special Arrangements
None |
Additional Information
Academic description |
Not entered |
Syllabus |
Not entered |
Transferable skills |
Not entered |
Reading list |
Not entered |
Study Abroad |
Not entered |
Study Pattern |
Not entered |
Keywords |
Algorithms, Java, object oriented design |
Contacts
Course organiser |
Dr Nick Hulton
Tel: (0131 6)50 2531
Email: Nick.Hulton@ed.ac.uk |
Course secretary |
Ms Caroline Keir
Tel: (0131 6)50 2543
Email: caroline.keir@ed.ac.uk |
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copyright 2011 The University of Edinburgh -
13 January 2011 6:28 am
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