Core Module Information
Module title: Database Systems

SCQF level: 09:
SCQF credit value: 20.00
ECTS credit value: 10

Module code: SET09801
Module leader: Oluwaseun Bamgboye
School School of Computing, Engineering and the Built Environment
Subject area group: Computer Science
Prerequisites

N/A

Description of module content:

This module covers core database techniques including relational including relational and NoSQL databases. The module will build on the School of Computing’s expertise in online database delivery (such as the SQA recommended SQL Zoo) to ensure the students understand how to store and retrieve data using several different tools. Database architectures, functionality, and entity-relationship modelling will be covered. The role of a Database Administration in the context of data science will be analysed. Finally, current trends in database technology will be explored. Topics include:
• Database theory.
• Database design.
• Database architecture and functionality.
• Date analysis and entity-relationship modelling.
• Normalisation for database design.
• SQL and relational algebra.
• NoSQL databases.
• Role of the database administrator.
• Current trends in database technology.
• Database security.

Learning Outcomes for module:

LO1: Critically analyse and evaluate database modelling and development approaches

LO2: Design, implement, and query a data model using a contemporary database management system

LO3: Critically compare and assess methods/technologies for managing large data sets

LO4: Critically review emerging database languages and technologies

Full Details of Teaching and Assessment
2023/4, Trimester 3, ONLINE,
VIEW FULL DETAILS
Occurrence: 001
Primary mode of delivery: ONLINE
Location of delivery: WORLDWIDE
Partner:
Member of staff responsible for delivering module: Oluwaseun Bamgboye
Module Organiser:


Student Activity (Notional Equivalent Study Hours (NESH))
Mode of activityLearning & Teaching ActivityNESH (Study Hours)
Online Lecture 12
Online Practical classes and workshops 24
Online Guided independent study 164
Total Study Hours200
Expected Total Study Hours for Module200


Assessment
Type of Assessment Weighting % LOs covered Week due Length in Hours/Words
Practical Skills Assessment 60 1,2 7
Practical Skills Assessment 40 1,2,3,4 13
Component 1 subtotal: 60
Component 2 subtotal: 40
Module subtotal: 100

Indicative References and Reading List - URL:
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