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CM50277: Databases

[Page last updated: 27 October 2020]

Follow this link for further information on academic years Academic Year: 2020/1
Further information on owning departmentsOwning Department/School: Department of Computer Science
Further information on credits Credits: 3      [equivalent to 6 CATS credits]
Further information on notional study hours Notional Study Hours: 60
Further information on unit levels Level: Masters UG & PG (FHEQ level 7)
Further information on teaching periods Period:
Semester 2
Further information on unit assessment Assessment Summary: CW 100%
Further information on unit assessment Assessment Detail:
  • Lab-sheet 1 (CW 20%)
  • Lab-sheet 2 (CW 20%)
  • Lab-sheet 3 (CW 20%)
  • Coursework Essay (CW 40%)
Further information on supplementary assessment Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Further information on requisites Requisites: This unit is only available to apprentices on the Level 7 Digital and Technology Solution Specialist Apprenticeship
Description: 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)

Content:

* 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.
Further information on programme availabilityProgramme availability:

CM50277 is Compulsory on the following programmes:

Department of Computer Science

Notes: