Table of contents

The course is connected to the following study programs

Teaching language

English.

Prerequisites

None.

Learning outcomes

Upon successful completion of the course, the student should have solid understanding of:

•The fundamentals of cybersecurity

•The fundamentals of AI and its different categories

•The uses and benefits of AI in cybersecurity

•The abuses and dark side of AI in cybersecurity

Contents

As Artificial Intelligence (AI) continues to evolve, its intersection with cybersecurity presents both unprecedented opportunities and serious threats. IS-9XX offers a comprehensive introduction to the dynamic relationship between these two fields. Designed for learners from diverse backgrounds, the course unfolds across the following foundational themes:

1.Fundamentals of Cybersecurity - covering key concepts, threat models, attack types, and core principles of defense.

2.Fundamentals of AI - exploring the basics of AI, including its various categories such as machine learning, deep learning, and natural language processing.

3.Uses and benefits of AI in Cybersecurity - examining how AI is transforming cybersecurity practices through applications like AI-driven threat detection and automated response.

4.Abuses and dark side of AI in Cybersecurity - This theme also explores the security vulnerabilities of AI systems themselves, including model theft, inference attacks, and the integrity of training data. This theme also covers the misuse of AI tools to execute advanced cyber-attacks.

The course is primarily self-paced, with learners engaging with different materials (text, audio, video, etc.) and actively participating in live online lectures, aligned with each of the coursemain themes. These lectures provide a platform for discussing and reflecting on the theme of the day, as well as engaging in hands-on group activities.IS-9XX is ideal for professionals, students, and enthusiasts seeking foundational knowledge in both cybersecurity and AI, with a focus on their convergence.

Teaching and learning methods

The instruction is digital, combining virtual meetings, discussions and periodic assignments. The total workload is approximately 67.5 hours.

Examination requirements

None.

Examinations

The course is passed when all mandatory coursework requirements have been completed and approved by the course instructor. Assessment: Pass / Fail.

Student evaluation

The course coordinator, in consultation with the student representative, determines the form of evaluation and whether the course will have a mid-term or final evaluation, in accordance with the quality assurance system, Chapter 4.1."**

Offered as a free-standing course

Yes, offered as a continuing education course.

Admission Requirement if given as a free-standing course

Higher Education Entrance Qualification or approved experience-based qualification based on minimum 2 years of work experience.(Generell studiekompetanse eller godkjent realkompetanse med minst to års yrkespraksis)
Last updated from FS (Felles studentsystem) Oct. 15, 2026 8:29:24 AM