Object Orientated Software Engineering: Spatial Algorithms (P01535)

? Credit Points : 10 ? SCQF Level : 11 ? Acronym : GEO-P-GISSA

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.

Entry Requirements

? Pre-requisites : Available only to postgraduate students. Objected Oriented Software Engineering Principles, except in exceptional cases.

Subject Areas

Home subject area

Postgraduate Courses (School of GeoSciences), (School of GeoSciences, Schedule N)

Delivery Information

? Normal year taken : Postgraduate

? Delivery Period : Block 2 only

? Contact Teaching Time : 4 hour(s) per week for 5 weeks

All of the following classes

Type	Day	Start	End	Area
Lecture	Monday	09:00	13:00	Central

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.