Course - Digital course in innovation, entrepreneurship and AI - IØ6603
Digital course in innovation, entrepreneurship and AI
New from the academic year 2026/2027
Assessments and mandatory activities may be changed until September 20th.
About
About the course
Course content
The course covers concepts of innovation, entrepreneurship, and AI.
- Innovation and entrepreneurship as competencies for value creation in business, the public sector, and organizations.
- Practical use of AI in idea development, analysis, creative work, and learning.
Learning outcome
1. Innovation and Entrepreneurship
The student can explain innovation and entrepreneurship as broad value-creating competencies, relevant in both the private and public sectors, and reflect on how their own resources can be used in value creation processes.
2. Artificial intelligence for value creation and innovation
The student can use artificial intelligence as a tool in idea development, analysis, and learning, while also assessing ethical issues, bias, and limitations of AI in a critical and responsible manner.
3. Idea development and resources
The student can develop and further develop innovative ideas based on their own resources and context by applying principles from effectuation and the resource-based view.
4. Market survey and insight work
The student can conduct a simple market survey to identify needs, test assumptions, and develop insights about users and context, using design thinking as a framework.
5. Business model
The student can account for basic principles of the business model regarding creating, delivering, and capturing value in new and established enterprises, as well as in the public and non-profit sectors.
6. Oral communication and presentation
The student can communicate ideas, insights, and potential clearly and convincingly orally through a presentation.
Learning methods and activities
The course is digital and structured, with close follow-up from the course coordinator and student assistants. Students will experience a variety of learning materials and activities, including the use of AI
Students can expect both individual and group work.
Compulsory assignments
- Exercises
Further on evaluation
There are mandatory coursework requirements in the course.
Exercises in the course consist of assignments, submissions, and quizzes. More information will be posted on Canvas at the start of the semester. The exercises must be approved before the student can take the exam.
Recommended previous knowledge
General study competence or equivalent prior learning and work experience; the teaching is conducted in Norwegian. Participants must have sufficient Norwegian language skills to follow the teaching, participate in activities, and complete assessments in Norwegian.
Required previous knowledge
None.
Credit reductions
| Course code | Reduction | From |
|---|---|---|
| IØ2000 | 5 sp | Autumn 2026 |
Subject areas
- Industrial Economics and Technology Management
Contact information
Course coordinator
Lecturers
Department with academic responsibility
Department of Industrial Economics and Technology Management