Course - Research-based Innovation Methodologies in Computer and Information Science - IT3010
IT3010 - Research-based Innovation Methodologies in Computer and Information Science
About
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)
Recommended previous knowledge
This course is designed for students that require fundamental understanding and skills on research-based innovation approaches and methods in order to conduct research for their master thesis. A Bachelor degree in informatics or a similar background is recommended.
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
- Informatics
- Technological subjects
Department with academic responsibility
Department of Computer Science
Phone:
Examination
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.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"