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.
Further on evaluation
Evaluation is based on portfolio evaluation (30%) and a final written exam (70%) Both the exam and the portfolio evaluation must be passed to pass the course.
The portfolio consists of group assignments due for submission around week 20.
Supervision is provided through weekly seminars held during lecture and exercise sessions.
All students in the group normally receive the same grade based on the group submission. In special cases where a student has not contributed sufficiently, the student may be given an individual grade based on documented lack of effort and/or workload.
Continuation and voluntary repetition/improvement can be carried out for some partial assessments without the need to retake all partial assessments in the course.
In the event of voluntary repetition, fail (F) or valid absence, the entire portfolio must be retaken in a semester with teaching.
The re-sit examination for the written exam is held in December. If there is a re-sit examination, the examination form may change from written to oral.
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.
Syllabus
Credit reductions
| Course code | Reduction | From |
|---|---|---|
| DT8111 | 7.5 sp | Autumn 2026 |
Subject areas
- Informatics
- Technological subjects