MØLBA3008 Data protection and ethics

    • Number of credits
      7,5
    • Teaching semester
      2024 Autumn
    • Language of instruction
      English
    • Campus
      Lillehammer
    • Required prerequisite knowledge

      None

Course content
  • Privacy and data protection
  • GDPR and privacy by design
  • Relevant nation regulations
  • Classifications of data
  • Privacy by design
  • Transfer of data
  • Ethical considerations when applying data

Learning Outcome

Upon passing the course, students have achieved the following learning outcomes:

Knowledge

The student

  • Have advanced knowledge about the terminology of privacy and data protection (k1)
  • Be able to identify the risk of collecting personal information and using such data (k2)
  • Have advanced understanding of the rules and principles for protecting privacy and personal information, particularly in EU (k3
  • Have specialized knowledge of the regulation on data protection from EU (GDPR; General Data Protection Regulation) (k4)
  • Have specialized knowledge of Norway`s obligation in the EEA-agreement (k5)
  • Have specialized knowledge of the rules concerning transfer of data to other 90 / 155 countries (k6)
  • Be able to discuss ethical problems arising from the use of personal information in both private and public sector (k7)
  • Be able to explain and exemplify legal and ethical paradoxes in usage of big data in business analyitcs (k8)
Skills

The student can

  • Be able to identify legal problems concerning privacy protection (f1)
  • Be able to discuss and solve practical cases regarding the individual rights under the GDPR (f2)
  • Be capable of discussing possible solutions to threats to individual privacy in private and public sector (f3)
  • Be able to see the potential for technological development and discuss it based on regulations in privacy protection (f4)
  • Be able to understand the ethical challenges of using personal information and big data analytics (f5)
  • Be able to understand the necessary balance between the need of privacy and control over data in public and private sector (f6)
  • Be able to recognize the ethical issues of Big data and data sharing as well as the relationship between data curators and data producers (f7)
General competence

The student can

  • Question the use of personal information and methods in various businesses and organizations (g1)
  • Propose changes in businesses and organizations to improve handling of data security (g2)
  • Manage data within relevant regulations and desired ethical standards (g3)
Teaching and working methods
  • Lectures
  • Problem solving
  • Case studies
Required coursework
  • Students must pass three out of four mandatory course requirements to be allowed to take the exam.
  • Attendance on at least 50% of the courses lectured teaching.
Form of assessment

4-hour individual exam under attendance.

Assessments
Form of assessmentGrading scaleGroupingDuration of assessmentSupport materialsProportionComment
Written examination with invigilation
ECTS - A-F
Individual
4 Hour(s)
  • Lovdata Pro
100

Reading list

Faculty
Inland School of Business and Social Sciences
Department
Department of Business Administration