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CM50259: Databases

[Page last updated: 04 August 2021]

Academic Year: 2021/2
Owning Department/School: Department of Computer Science
Credits: 3 [equivalent to 6 CATS credits]
Notional Study Hours: 60
Level: Masters UG & PG (FHEQ level 7)
Semester 1
Assessment Summary: CW 30%, EX 70%
Assessment Detail:
  • Coursework (CW 30%)
  • Examination (EX 70%)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Aims: This unit aims to provide a systems-based understanding of data, data modelling, storage, access, retrieval and protection.

Learning Outcomes: On completion of the unit the students will be able to:
* understand the nature, capture, formal description and representation of data and its processing;
* be conversant with emerging data exchange and database developments such as big data, data mining, meta data and the semantic web.
* critically review the migration towards cloud-based data storage in the context of its professional, legal and ethical implications.
* Practically demonstrate how programs and users can interact with databases through query languages.

Skills: Use of IT (T/F, A), Problem Solving (T/F, A)

* data modelling methodologies such as UML and the e-r model.
* relational model, relational algebra, SQL and normalization,
* metadata, the semantic web, data exchange methods and formats such as XML.
* Datamining, big data and pattern discovery in large datasets.
* cloud-based, distributed data storage and its professional, legal and ethical implications.

Programme availability:

CM50259 is Compulsory on the following programmes:

Department of Computer Science


  • This unit catalogue is applicable for the 2021/22 academic year only. Students continuing their studies into 2022/23 and beyond should not assume that this unit will be available in future years in the format displayed here for 2021/22.
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