Topics will be drawn from

- Database system concepts
- Data modelling and normalisation
- Relational algebra and relational modelling
- Review of current technology, limitations and challenges
- Programming Relational Databases
- Data manipulation
- Query tools and reporting
- Testing and reporting
- Data structures:
- Operations on data structures
- Searching and sorting
- Recursive operations
- Development of algorithms
- Strings and string operations

The learning strategy for the module requires students to commit 300 learning hours, of this there will be 75 hours of class support and 225 hours of independent and self directed study.

Lectures/ lab work/ Presentations /Tutorial
Student managed learning/ directed learning

Apart from the lecture each week, various other methods as mentioned above will be used as learning strategies.
There will be laboratory and tutorial sessions, students will be required to discuss and present various topics of the module in the class. Students will be required to apply theoretical knowledge in practical contexts.
Students are expected to be able to structure their own work and to work relatively independently under the guidance of the module teaching staff.

A mini project & coursework of 3000 words weighted at 100%.

Assignment (Learning outcomes 1 and 2)
Examination (Learning outcomes 3 and 4)

To pass this module student must obtain 40% marks. Re-assessment is capped at 40%

The VLE (NETED)
The Internet
Hardware laboratory
Appropriate Software
Word Processing software for use in the coursework
Printed and electronic journals.
Computer system and other devices' manuals

Avison D and Fitzgerald G (2006), Information Systems Development: Methodologies, Techniques and Tools, McGraw Hill Higher Publishing Company
Chao L (2006) Database Development and Management, CRC Press
Goodrich M, Tamassia R (2010), Data Structures and Algorithms in C++ , Wiley

None