IT3010 - Research-based Innovation Methodologies in Computer and Information Science


Examination arrangement

Examination arrangement: Work
Grade: Letters

Evaluation form Weighting Duration Examination aids Grade deviation
work 100/100 1 semesters ALLE

Course content

The course will give insight in the most important challenges for research and innovation methods in computer science, as well as theories of science. Challenges of research design and presentation of results will be covered. The course gives insight in the most used empirical research methods: Case studies, design science and surveys, with emphasis on qualitative methods. The course will also teach students to conduct methodological hypothesis testing in a given market.

Learning outcome

Knowledge: The candidate will get knowledge of: - Basics of design of scientific studies. - Principles for selection of data collection and analysis methods. – Basic definitions of research-based innovation.

Skills: The candidate will acquire skilled on: -Planning and conducting research projects. - Collecting and analyzing research data. - Foreseeing and reducing threats to validity of research designs.

General competence: The candidate will get competence on: - Critically evaluate the quality of qualitative studies in computer science. - Conduct empirical studies.

Learning methods and activities

Lectures, self-study, group-based individual assignments.

Further on evaluation

Retake of the course will require new participation/deliverables in all activities.

Specific conditions

Admission to a programme of study is required:
Informatics (MIT)
Informatics (MSIT)

Required previous knowledge

No other courses required in order to take this course.

Course materials

Articles and book which will be presented at the start of the semester.


Version: 1
Credits:  7.5 SP
Study level: Second degree level


Term no.: 1
Teaching semester:  SPRING 2020

No.of lecture hours: 2
No.of specialization hours: 10

Language of instruction: English, Norwegian

Location: Trondheim

Subject area(s)
  • Informatics
  • Technological subjects
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Computer Science



Examination arrangement: Work

Term Status code Evaluation form Weighting Examination aids Date Time Digital exam Room *
Spring ORD work 100/100 ALLE
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date.
If more than one room is listed, you will find your room at Studentweb.

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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