Course content

The course provides an introduction to innovation, culture and translation strategies. In most innovation processess there will be actors with knowledge and practices that have to be taken into consideration when the new is implemented. At the same time as innovation should be understood and practiced by the different actors, the innovation also has to fit into a material field to be called innovation. Such an innovation competence is important both to understand and handle development, transitions for public innocations and other innovative activities. The course is open to all students, and is part of the STS (studies in knowledge, technology and society) annual study program, which can be subject 2 / broad-based in most bachelor's degrees and qualifies for admission to PPU (social studies).

Learning outcome

Students who have completed this course have knowledge of:

• what innovation is and how innovation is done, different innovation theories and innovation models
• different perspectives on knowledge work, expertise and interdisciplinarity
• knowledge management as a communication challenge

Students who have completed this course have the skills to:

• work independently and in groups with problem solving on the basis of knowledge from the subject
• plan and carry out a small study project on social change - write reasoning texts
• apply professional knowledge to practical and theoretical issues, including drawing own conclusions

Learning methods and activities

The course is taught in three parts: 1) introductory lectures, 2) combined lectures and seminars on 2-3 different topics (eg restructuring processes, public innovations and urban development), and 3) seminar with project work where the students collectively collect empirics to be used in a term paper. To take the exam, the student must have a folder with at least 5 approved work requirements. The work requirements consist of both individual and group submissions in different formats, such as essay, presentation, interview or observations, empirical analysis and the like.

Compulsory assignments

• Approved folder consisting of a minimum of 5 approved work requirements

Recommended previous knowledge

None

Required previous knowledge

None

Course materials

Compendium + textbooks

Credit reductions