Course - Research-based digitalization - IT3010
Research-based digitalization
Assessments and mandatory activities may be changed until September 20th.
About
About the course
Course content
The course will give insight into the most important areas within empirical research methods in IT (Information Technologies) 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 introduces research ethics and managing user data, writing and reviewing research articles, and doing peer reviews.
Learning outcome
Knowledge: The candidate will acquire knowledge of:
- Empirical research in digitalization.
- The main principles for designing empirical research studies.
- The main principles for selecting and applying data generation and analysis methods.
- Ethical issues related to empirical research in digitalization, and how to address them.
- Best practices for reporting research results.
Skills: The candidate will acquire skilled on:
- Planning empirical research projects.
- Ethically conducting empirical research projects.
- Evaluating empirical research.
- Reporting, presenting, and otherwise disseminating research results.
General competence: The candidate will get competence on:
- Critically evaluate the quality of research studies in digitalization.
- Conduct empirical research studies.
Learning methods and activities
Seminars, self-study, group-based and individual assignments.
Student groups will conduct a complete cycle of research, including planning, data generation and analysis, paper writing and revision, and dissemination.
Some of the activities happen in predefined dates and require personal attendance by students (compulsory assignments). See Canvas for information on specific dates for these.
Compulsory assignments
- Compulsory assignment
Further on evaluation
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.
Portfolio evaluation provides the basis for the final grade in the course.
The portfolio consists of group-based and individual assignments:
2 individual assignments (50%)
5 group assignments (50%)
Submission of individual assignments approx. in weeks 15 and 20.
Submission of group assignments approx. in weeks 6, 8, 13, 17, and 18.
Guidance is given in weekly seminars during lectures and exercise sessions.
In the event of voluntary repetition, fail (F) or valid absence, all course-activities must be retaken in a semester with teaching. Evaluations are only held in semesters with teaching.
Recommended previous knowledge
A bachelor's degree in informatics or a similar background is recommended.
Required previous knowledge
Basic competences in IT and digitalization.
Course materials
Articles and textbook which will be presented at the start of the semester.
Credit reductions
| Course code | Reduction | From |
|---|---|---|
| DT8111 | 7.5 sp | Autumn 2026 |
Subject areas
- Informatics
- Technological subjects