KIUA1011 The World of AI
- Course codeKIUA1011
- Number of credits5
- Teaching semester2026 Autumn
- Language of instruction and examinationNorwegian/English
- CampusHamar
- Required prerequisite knowledge
None
This course provides an introduction to the field of Artificial Intelligence, including the history of AI. This course provides a broad introductory overview of the legal and ethical frameworks for AI that exist today. The course provides a broad introductory overview of other important topics such as AI governance, bias, fairness and data protection in connection with the development, use and adoption of AI. The latest trends and practical knowledge of certain AI tools will be introduced as part of the overview of the AI field. Students will continue to develop general skills in project planning and knowledge sharing.
Learning outcome
Upon successfully passing the course, students will have achieved the following learning outcomes:
Students have:
- Knowledge about the definition, history and scope of artificial intelligence (AI), as well as the difference between rule-based AI and machine learning and the application of AI in different fields
- Knowledge about the principles and importance of AI governance and will be familiar with the ethical challenges and considerations arising from AI development and distribution
- Knowledge about biases and fairness issues in AI systems, including algorithmic bias and discrimination
- Knowledge about data protection challenges in the context of AI, as well as an understanding and knowledge of relevant data protection laws and regulations and privacy-preserving techniques in AI and data analysis
- Knowledge about accountability and responsibilities linked to AI systems, including algorithmic accountability and explainability
Students can:
- Identify, demonstrate and distinguish the use of rule-based AI and machine learning at an introductory level.
- Assess dilemmas for stakeholders and decide on ethical solutions through ethical analyses at an introductory level.
- Conceptually analyse algorithmic bias and fairness and propose basic solutions.
- Conceptually analyse data protection risks and use basic privacy-preserving techniques.
- Demonstrate the ability to navigate data protection regulations and ensure compliance in AI projects.
Students:
- Have a basic understanding of the history of AI and its use
- Have a basic understanding of the ethics and implications of using and implementing AI
- Have basic understanding of AI governance
- Can collaborate and apply an interdisciplinary approach in projects related to AI.
- Can work in collaborative projects through different activities
The course comprises a combination of lectures, practical exercises, independent study and academic supervision.
- 1 individual piece of required coursework, physical attendance on campus is compulsory
- Attendance in classes/teaching sessions is mandatory, where physical attendance on campus is required. There is an 80% attendance requirement in teaching sessions and a 100% attendance requirement in specific learning activities. This is in accordance with the teaching plan for each course in the programme of study.
| Form of assessment | Grading scale | Grouping | Duration of assessment | Support materials | Proportion | Comments |
|---|---|---|---|---|---|---|
Written assignment | Passed - not passed | Group | 100% |
- 1 project-based group assignment
Students may choose which language to use for their examination. The available options are Norwegian Bokmål, Norwegian Nynorsk and English.
Permitted examination support material:
- Literature
- All printed and written resources
- Any use of AI-generated text and content must be clarified with the lecturer, clearly labelled and academically justified in the submission