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

None

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.

Method of work

Lectures, workshops and guided self-study.

Open for

The course is mandatory for candidates of UiS' PhD-program in natural sciences and technology. Other PhD-candidates must apply for admission to the course.

Course assessment

The faculty decides whether early dialogue will be held in all courses or in selected groups of courses. The aim is to collect student feedback for improvements during the semester. In addition, a digital course evaluation must be conducted at least every three years to gather students’ experiences.
The course description is retrieved from FS (Felles studentsystem). Version 1