IKT447 Trust, Threats, Risk and Vulnerability (Autumn 2026)
- ECTS Credits:
- 7.5
- Responsible department:
- Faculty of Engineering and Science
- Course Leader:
- Nadia Saad Noori
- Lecture Semester:
- Autumn
- Teaching language:
- English
- Duration:
- ½ year
Table of contents
The course is connected to the following study programs
- Cybersecurity Engineering, Master’s Programme
- Cyber Security, Master’s Programme
- Artificial Intelligence and The Internet of Things, Master's Programme
- Master's Programme in Industrial Economics and Technology Management
Teaching language
English
Learning outcomes
On successful completion of the course, the students should:
- understand the core cyber security and privacy vocabulary
- understand the central concepts relating to threats, risk and vulnerability in ICT
- understand the concepts of risk management in cyber security and be able to implement risk and threat assessments
- understand the concepts of Cyber Threat Intelligence (CTI) and have an overview of different information sources ad tools for CTI and how it can be used to lower risk and vulnerabilities. e.g. "Grunnprinsipper for IKT sikkerhet" by Norwegian National Security Authority (NSM) or ATT&CK MITRE TTP
- understand threat profiling/threat analysis frameworks such as STRIDE model and methods
- be well acquainted with threats and risks associated with privacy
- be well acquainted with threats to cloud and hybrid cloud infrastructure
Contents
The main topics are:
- The core Cyber Security vocabulary (technical perspective)
- Trust and its properties
- Risk and vulnerability assessments
- The STRIDE model, modelling strategies and methods
- Trust and threats related to privacy (PIA, Privacy-by-Design, GDPR)
- Secure-by-design and privacy-by-design concepts
- Common threats to cloud and hybrid cloud infrastructure
- and other emerging topics (e.g. AI security, LLMs, Industrial Control Systems-ICS, IoT security)
Teaching and learning methods
Lectures, weekly in-class exercises, and Obligatory assignments.
The total expected workload is estimated to be approximately 210 hours for the average student. Students may find that they need to work more than this, especially if they target better grades.
Examinations
Portfolio. Graded assessment. Information about compulsory assignment will be given in Canvas at the start of the semester.
Student evaluation
The person responsible for the course decides, in cooperation with student representative, the form of student evaluation and whether the course is to have a midway or end of course evaluation in accordance with the quality system for education, chapter 4.1.
Offered as a free-standing course
Yes. Subject to availability or capacity.
Admission Requirement if given as a free-standing course
Admission requirements for the course are the same as for the master’s programme in Cyber Security.
Last updated from FS (Felles studentsystem)
Oct. 15, 2026 2:26:51 PM