Postgraduate Course: Topics in Distributed Databases (INFR11025)
Course Outline
| School |
School of Informatics |
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 |
Informatics |
Other subject area |
None |
| Course website |
http://www.inf.ed.ac.uk/teaching/courses/tdd |
|
|
| Course description |
This course covers not only the basic technology required for distributed databases, but also some of the emerging technology of database integration, data cleaning, schema matching/mapping and peer-to-peer technology for highly distributed databases. |
Entry Requirements
| Pre-requisites |
Students MUST have passed:
Database Systems (INFR09011) OR
Applied Databases (INFR11015)
|
Co-requisites |
|
| Prohibited Combinations |
|
Other requirements |
For Informatics PG students and final year MInf students only, or by special permission of the School.
|
| Additional Costs |
None |
Course Delivery Information
|
| Delivery period: 2010/11 Semester 2, Available to all students (SV1)
|
WebCT enabled: No |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| Central | Lecture | | 1-11 | | | | 09:00 - 10:50 | |
| First Class |
Week 1, Thursday, 09:00 - 09:50, Zone: Central. Room 2.12, Appleton Tower |
Summary of Intended Learning Outcomes
1 - Describe emerging issues in distributed databases: data integration, schema matching, schema mapping, data cleaning, distributed query evaluation and optimisation.
2 - Describe the problems faced in data integration, as well as model solutions to these problems.
3 - Translate data between example XML schemas without loss of information.
4 - Describe the need for data cleaning in data integration, and approaches to improving the quality of integrated data.
5 - Detect inconsistencies in data using integrity constraints.
6 - Repair dirty databases based on integrity constraints.
7 - Propagate data quality rules via data transformation/integration
8 - Demonstrate the issues involved in data integration for distributed query processing.
9 - Describe the issues involved in distributed query optimisation regarding cost modeling and algorithms for query evaluation. |
Assessment Information
Written Examination 0
Assessed Assignments 100
Oral Presentations 0
Assessment
This is a research seminar module. Each student is required to read research papers, complete a practical project, and write and present a final report for the project.
The project (70%) deals in more depth with a topic covered in the class. It should consist of algorithm design, prototype implementation, and experimental study for developing a practical tool. Example projects include: SQL techniques for detection of dara inconcistencies based on integrity constraints, a tool for schema matching/mapping, or a tool for repairing dirty databases.
The presentation (30%) should report and demonstrate the tool developed in the project.
If delivered in semester 1, this course will have an option for semester 1 only visiting undergraduate students, providing assessment prior to the end of the calendar year. |
| Please see Visiting Student Prospectus website for Visiting Student Assessment information |
Special Arrangements
| Not entered |
Contacts
| Course organiser |
Dr Michael Rovatsos
Tel: (0131 6)51 3263
Email: mrovatso@inf.ed.ac.uk |
Course secretary |
Miss Kate Weston
Tel: (0131 6)50 2701
Email: Kate.Weston@ed.ac.uk |
|
copyright 2010 The University of Edinburgh -
1 September 2010 6:11 am
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