Course
Innovation in Research Projects (TN910)
Facts
Course code TN910
Credits (ECTS) 5
Semester tution start Spring
Language of instruction English
Number of semesters 2
Exam semester Spring
Time table View course schedule
Literature Search for literature in Leganto
Introduction
The purpose of the course is to raise the PhD candidates' awareness of the practical implications of their research. This includes understanding how research results can lead to innovation, i.e. be implemented to achieve the intended benefits to society. Another purpose is to raise the candidates' awareness of wider societal implications of research and innovation and the role of research in the green transition.
Content
The course content is primarily aimed at PhD-candidates in the natural sciences and technology but can also fit candidates from other areas.
Among themes that will be covered are:
- Definitions and different types of value of innovation in research
- Innovation theory and the main players
- Innovation through time
- Stakeholders and Social Construction of Technology
- Rights and obligations related to Technology Transfer in research
- Project management of research projects
- Sustainability in our research and the road to a green transition
Learning outcome
The course shall give the student an understanding of the theoretical foundation and the practical application in the areas of innovation, innovation management and entrepreneurship. After having taken this course the student should have the following knowledge, skills and general competence:
Knowledge
- Knowledge of the value of innovation in research projects
- Knowledge of the main theories and actors of innovation
- Insight into the history of innovation
- Knowledge of the rights and obligations related to Technology Transfer in research
Skills
- Understand central problems associated with managing complex cross-disciplinary work assignments and projects.
- Assess the need for, take initiative to and manage innovation.
- Evaluate and relate research to the sustainability goals
General competence
- Combinatory skills across disciplines
Required prerequisite knowledge
Exam
Assigment
Weight 1/1
Marks Passed / Not Passed
The candidates shall submit a paper that must be accepted in order to pass the course.
There are no retake opportunities for the course. Students that do not pass may retake the course the next time it is offered.
The course and deliverables are administered in English.
A "self-declaration form for the use of AI" is to be used in the course.