Content, progress and pedagogy of the module

The aim of this project is to focus on privacy and carry out privacy and data protection analysis of a chosen technology, system or enterprise/organization and discuss mitigation strategies for dealing with these. Students must base their analysis on privacy theories and data flow diagrams and base this as the foundation for developing strategies to deal with this.

Learning objectives

Knowledge

• Must have knowledge about methods for understanding privacy data risk
• Must have knowledge about methods for representing data spread in and out of an enterprise system
• Must have knowledge about theories for understanding human introduced risks relating to data protection and privacy
• Must have knowledge about central concepts relating to privacy and data protection, such as GDPR, privacy definitions etc.

Skills

• Must have the ability to make an analysis of a selected enterprise with respect to privacy and data protection
• Must have the ability to carry out a risk analysis of a selected enterprise with respect to data protection and privacy
• Must have the ability to use central methods such as data flow diagrams, and others to visualise data spread and provide a scalable understanding of the privacy and data protection risks
• Must have the ability to describe an enterprise system and its data protection and privacy elements, implemented and challenges

Competences

• Must have competencies in presenting an overview of privacy and data protection challenges for a selected enterprise system
• Must have competencies in using established knowledge about privacy and data protection to create strategies for improvement or even for mitigation of the privacy the data protection challenges
• Must have competencies for presenting results of the work for an enterprise to provide feedback and knowledge to the enterprise for the work

Type of instruction

Types of instruction are listed at the start of §17; Structure and contents of the programme.

Exam

Exams