WM243-18 Information Management
Introductory description
Information Management is primarily concerned with the capture, digitisation, representation, organisation, transformation, and presentation of information; algorithms for efficient and effective access and updating of stored information; data modelling and abstraction; and physical file storage techniques. Cyber security has to be embedded within information management.
Module aims
Interact with repositories of information via suitable queries
Develop database solutions which comply with standards/regulations such as GDPR, and which have appropriate controls in place
Outline syllabus
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
Outline content
The content of this module will be taught from a cyber security perspective.
- Information management concepts. Data and information management regulation (GDPR and other regulation both national and international)
- Database systems - Database models such as relational, dimensional, etc. Understanding Database Management Systems (DBMS). DBMS architecture. Data independence.
- Data modelling. Data relationships (one-to-many, many-to-many, one-to-one). Entity Relationship (ER) modelling. Database optimisation and normalisation.
- relational databases
- access control
- Structured Query Language (SQL). SQL Syntax. Manipulating data, databases, and tables.
Learning outcomes
By the end of the module, students should be able to:
- Develop a data model that meets a given information management requirement
- Implement and test a data modelling solution with appropriate controls which meets best practice requirements
- Critically evaluate the cyber consequences that flow from the management of information in a given scenario.
Indicative reading list
Connolly, Thomas and Begg, Carolyn, “Database Systems: A Practical Approach to Design, Implementation, and Management”, 6 Ed, Pearson (2014)
Cox, Sharon A., “Managing Information in Organizations: A Practical Guide to Implementing an Information Management Strategy”, Palgrave Macmillan (2014)
Hills, Ted, “NoSQL and SQL Data ModelingModelling: Bringing Together Data, Semantics, and Software”, Technics Publications (2016)
View reading list on Talis Aspire
Subject specific skills
Interact with repositories of information via suitable queries
Critically evaluate the cyber consequences that flow from the management of information in a given scenario.
Transferable skills
Information literacy
Study time
Type | Required |
---|---|
Supervised practical classes | 18 sessions of 2 hours 30 minutes (48%) |
Private study | 49 hours (52%) |
Total | 94 hours |
Private study description
Independent activity between workshops, following up on activities initiated in previous workshops or preparing for upcoming workshops.
Costs
No further costs have been identified for this module.
You do not need to pass all assessment components to pass the module.
Assessment group A2
Weighting | Study time | Eligible for self-certification | |
---|---|---|---|
Coursework | 50% | 40 hours | Yes (extension) |
The report describes the implementation of a particular type of database (relational, NoSQL, Graph) including construction of appropriate methods for the population, querying and modification of data. |
|||
Coursework | 50% | 46 hours | Yes (extension) |
The report requires the student to critically assess the security controls that protect some part of the information lifecycle process. |
Feedback on assessment
Written feedback for each assignment
Verbal feedback during tutorial sessions
Solutions provided to tutorial questions
Summative feedback on assignments and exam
Courses
This module is Core for:
- Year 2 of UWMA-H651 Undergraduate Cyber Security