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2022/23 Undergraduate Module Catalogue

COMP1121 Databases

10 creditsClass Size: 500

Module manager: Dr Hui Lau

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2022/23

This module is not approved as a discovery module

Module summary

Databases are a common component of many computer systems, storing and retrieving data about the state of a system. This module covers the principles of the design, architecture, implementation of database systems and the role of database management systems. In order to understand the design of database system an understanding of relational theory is required as well as the tools and techniques for decomposing systems and modelling them in an appropriate manner.This module introduces the tools for manipulating data in databases and design principles that ensure data security and integrity.


This module provides a foundation in the design and implementation of databases with an emphasis on relational database systems.

Learning outcomes
On successful completion of this module a student will have demonstrated the ability to:

- describe the purpose and architecture of database management systems.
- use appropriate tools to manipulate database systems.
- design and implement a database using appropriate tools.
- apply relational modelling techniques to real world situations.
- apply normalisation and explain the advantages and disadvantages of normalisation.
- describe the ethical, legal and security related issues concerning the implementation and administration of databases and their management systems.


This module covers the following 3 topic areas

- Database management systems : purpose of a database management system, architecture of a database management system, administration of a database management system, ACID principles and concurrency.
- Ethical issues regarding the use of databases in society.
- Relational databases : relational algebra, relational calculus, table design (including identifying functional dependencies, primary keys, foreign keys, selection of appropriate data type) and normal forms.
- Querying Languages : declarative querying languages, comparison of alternative approaches, manipulating databases using querying languages.

Teaching methods

Delivery typeNumberLength hoursStudent hours
Private study hours58.00
Total Contact hours42.00
Total hours (100hr per 10 credits)100.00

Opportunities for Formative Feedback

Coursework and labs.

Methods of assessment

Assessment typeNotes% of formal assessment
In-course AssessmentCoursework - Ethics10.00
In-course AssessmentCoursework -SQL Coursework15.00
In-course AssessmentCoursework - ER Modelling Coursework15.00
Total percentage (Assessment Coursework)40.00

This module will be reassessed by an online time-constrained assessment.

Exam typeExam duration% of formal assessment
Online Time-Limited assessment48 hr 60.00
Total percentage (Assessment Exams)60.00

This module will be reassessed by an online time-limited assessment.

Reading list

The reading list is available from the Library website

Last updated: 01/06/2022 16:59:02


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