Applied Databases (VS1) (P01361)

? Credit Points : 10 ? SCQF Level : 11 ? Acronym : INF-P-AD-V

Applied Databases covers the practical application of current database technology and strategies for dealing with complex data. The course will focus on the practical application Relational Database Systems with reference to the underlying design limitations of such systems.

Entry Requirements

? This course is only available to part year visiting students.

? This course is a variant of the following course : P00858

? Pre-requisites : For Informatics PG students only, or by special permission of the School. This course is only available to part-year visiting students who are only in Edinburgh for Semester 1.

Subject Areas

Home subject area

Bioinformatics, (School of Informatics, Schedule O)

Other subject areas

Learning from Data, (School of Informatics, Schedule O)

Database Systems, (School of Informatics, Schedule O)

Neuroinformatics, (School of Informatics, Schedule O)

Net-Centric Computing, (School of Informatics, Schedule O)

Delivery Information

? Normal year taken : Postgraduate

? Delivery Period : Semester 1 (Blocks 1-2)

? Contact Teaching Time : 2 hour(s) per week for 10 weeks

First Class Information

Date	Start	End	Room	Area	Additional Information
26/09/2007	10:00	10:50	Room 4.18, David Hume Tower	Central

All of the following classes

Type	Day	Start	End	Area
Lecture	Wednesday	09:00	10:50	Central

Summary of Intended Learning Outcomes

It is anticipated that students who successfully complete the course will be able to:
-Discuss the application of database systems in Informatics
-Describe how database systems work
-Analyse data and describe using common description methods such as ER diagrams and XML
-Convert ER schema into relational tables, populate a relational database and run queries on the data
-Design and implment appropriate interfaces (middleware) to database systems
-Disucss the limitations of database and data handling technologies
-Explain the relationship between database limitations and the underlying technology
-Contrast relational systems with semi-structured approaches
-Describe examples of current research in the field