Course - Empirical research methodologies in IT and digitalization - IT3010
IT3010 - Empirical research methodologies in IT and digitalization
Examination arrangement: Work
Grade: Letter grades
|Evaluation||Weighting||Duration||Grade deviation||Examination aids|
The course will give insight into the most important areas within empirical research methods in IT and digitalization. Approaches to empirical research, research design, data generation and analysis will be covered. The course gives insight in the most used empirical research methods: Case studies, design science, surveys, and experiments. The course provides an introduction to research ethics and managing user data, writing and reviewing research articles, and doing peer reviews.
Knowledge: The candidate will acquire knowledge of: - Basics of design of scientific studies. - Principles for selection of data generation and analysis methods. Basic definitions of empirical research in IT and digitalization. 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 research studies in IT and digitalization. - Conduct empirical studies.
Learning methods and activities
Lectures, self-study, group-based individual assignments. Student groups will conduct a complete cycle of research, including planning, data generation and analysis, paper writing and revision, and presentation in conference. Some of the activities happen in predefined dates and require personal attendance by students.
- mandatory practice hours
Further on evaluation
Retake of the course will require new participation/deliverables in all activities. Students are required to meet up for some mandatory exercises on predefined days. Dates for these days are announced in the beginning of the semester.
Compulsory activities from previous semester may be approved by the department.
Admission to a programme of study is required:
Computer Science (MTDT)
Natural Science with Teacher Education, years 8 - 13 (MLREAL)
Recommended previous knowledge
This course is designed for students that require fundamental understanding and skills in empirical research-based approaches and methods in order to conduct empirical research for their master thesis. A bachelor's degree in informatics or a similar background is recommended.
Required previous knowledge
No other courses required in order to take this course. This course is currently mandatory for master students in informatics.
Articles and book which will be presented at the start of the semester.
Credits: 7.5 SP
Study level: Second degree level
Term no.: 1
Teaching semester: SPRING 2022
Language of instruction: English, Norwegian
- Technological subjects
Examination arrangement: Work
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
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"